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Spectral Efficiency Classification Schemes for Future Network Communications(SECS) Cover

Spectral Efficiency Classification Schemes for Future Network Communications(SECS)

Open Access
|May 2023

Full Article

I.
Introduction

This paper is the first international standard proposal (draft) of The Ultra Limited Future Network. The development of this proposal (draft) is supported by JTC 1/SC 6/WG 7 working team. The application leader is Dr. Qingsong Zhang (Nanjing Bofeng), and the proposal is proposed by Professor Wang Zhongsheng (Xi'an Technological University). Itu-r and ICAO acted as the focal points during the development process, while cooperating with ECMA, 3GPP and IEEE.

This standard is prepared in accordance with the provisions of the following three documents :

  • ISO/IEC TR 29181 : Future Network : Problem Statement and Requirements, parts 1–9.

  • ITU-R SM.856-1 : New Spectrally Efficient Techniques and Systems (1992–1997).

  • ITU-R SM.1046-3 : Definition of Spectrum Use Efficiency of a Radio System (2017-09-06).

As an international standard proposal in the field of “industry, Innovation and Infrastructure”, This standard provides classification schemes for MCS Spectral Efficiencies including:

Definition of Modulation and Coding Scheme Spectral Efficiency (MCS SE).

  • Method for classification of MCS SE.

  • Naming system of MCS SE.

  • Examples of the recommended use of SECS.

  • Potential impact on Future Network Standardization.

  • The differences between SE and Spectral Utilization Efficiency.

II.
Development Background

Spectrum efficiency is a key index to measure the level of development of information and communication systems, which can reflect or affect many key performances, including the efficient use of spectrum resources, higher information transmission rates and greater channel capacity and so on. The higher the spectrum efficiency, higher the utilization rates of resource-constrained spectrum resources, higher transmission rates, and greater the information throughput. Therefore, improving spectrum efficiency is one of the most critical objectives of ICT innovation.

With the development of digital information and computer science and technology, the level of spectrum efficiency of information and communication systems is also improving. 20 years ago at the turn of the century, the spectral efficiency of communication systems was still at a very low level of 1–2 bits. After 20 years of development, some areas of technology are already using 10-bit spectrum efficiency technology. Some areas have incorporated 12-bit spectrum efficiency into next-generation technical standard planning.

Based on historical experience and technical characteristics, the speed of improvement of the spectrum efficiency level of information and communication systems will slow down in the future, reaching 16 bits in 20 years and 20 bits in 45 years, which is the result of the congenital limitations of M-QAM modulation and demodulation technology, a key mechanism for improving spectrum efficiency. However, it cannot be ruled out that the emergence of new theories and new technologies in the basic layer of information and communication physics may lead to rapid improvement of spectrum efficiency. An article published in IEEE Access in 2018 by Chinese scientist Professor Li Daoben shows that information systems with up to 2000 bits spectrum efficiency can be achieved using the overlapping multi-domain multiplexing technology (OVXDM) he invented.

High spectrum efficiency will be the main manifestation of ICT levels in the post-Shannon era. In the next ten to twenty years, the discussion and evaluation criteria on the spectral efficiency of communication technology will exceed 20 bits and enter the category of hundreds of bits or even thousands of bits. Communication products will be increasing spectrum efficiency as the main sign of technical level and service capability.

In the existing ITU international standards, RSM.1046-3 provides for the definition of spectrum utilization efficiency and the evaluation methods for the utilization of various systems spectrum, but does not provide a mechanism for classifying MCS spectrum efficiency. Such a mechanism is necessary to discuss, analyze, evaluate, select and manage the spectrum efficiency of future communication systems.

For example, in some technical or policy documents, the discussion of “low spectrum efficiency” and “high spectrum efficiency” can often be seen, but there are no technical specifications to define and interpret these two concepts. How many bits of spectrum efficiency is “low spectrum efficiency”? How many bits of spectrum efficiency is “high spectrum efficiency”? Some documents refer to a 10-bit system as “high spectrum efficiency”, so what category does 16-bit, 20-bit, 32-bit, or even 128-bit spectrum efficiency fall into? Therefore, the two-level classifications of “low spectrum efficiency” and “high spectrum efficiency” cannot meet the future development trend and the need for more accurate spectrum efficiency classification.

In radio spectrum management, there are many classification schemes for spectrum resources. One scheme is dividing frequency resources (RE) into kilohertz, megahertz, gigahertz, and terahertz. Another method is based on wavelength, dividing RE into categories such as Ultra-Long Wave, Long Wave, Medium Wave, Short Wave, Ultra-Short Wave, Microwave, etc. There is also a classification method by frequency, VLF, Low Frequency, Medium Frequency, Medium High Frequency, High Frequency, VHF, UHF, UHF, UHF, UHF and so on. Another band division method marked by the English Alphabet, dividing RE into L-Band, S-Band, C-Band, X-Band, Ku-Band, K-Band, Ka-Band, and so on.

Using reference to the mechanism of radio frequency band classifications, this standard classifies the spectral efficiencies of the MCS systems, so as to facilitate the classification, discussion, evaluation and comparison of the efficiency of the spectrum of information systems.

III.
Abbreviations and Terms
A.
Abbreviations
TABLE I.

Abbreviations of terms

AbbreviationsFull Name
MCSModulation and Coding Scheme
MIMOMultiple Input Multiple Output
FNFuture Network
OFDMOrthogonal Frequency Division Multiplexing
OCCSOver-Capacity Communication Systems
OVXDMOverlapped X Domain Division Multiplexing
OVTDMOverlapped Time Domain Division Multiplexing
QAMQuadrature Amplitude Modulation
REResource Element
RSERelative Spectral Efficiency
SESpectral Efficiency
SEISpectral Efficiency Index
SUESpectrum Utilization Efficiency
TSEITypical SE Indicator
B.
Terms and Definitions

Over-Capacity Communication: Exchange of information that has higher capacity than the Shannon Limit.

OVXDM: An innovative way of modulation and coding that utilizes multiple domains such as time, frequency, spatial and coding overlapping and multiplexing to achieve higher SE, no coding overhead, higher coding gain and low decoding complexity.

MCS Spectral Efficiency: The maximum amount of useful information sent in one second and per Resource Element (RE in Hz) through a communication system based on its modulation and Coding schemes.

Spectral Utilization Efficiency: the product of the frequency bandwidth, the geometric (geographic) space, and the time denied to other potential users: U = B · S · T

Shannon Limit: Also known as Shannon Capacity, defined by Claude Shannon in the 1940s setting the limit of theoretically highest rate of information transmission under certain noise levels for a single channel.

Future Network: An International Standard project developed and managed by ISO/IEC for a new network system based on the clean slate design approach. Publications include ISO/IEC TR 29181 and ISO/IEC 21558–21559.

IV.
MCS SE Classification Principles
A.
Differentiating SE from USE

The SE (Spectral Efficiency) defined in this standard shall not be confused with the Spectrum Efficiency in ITU-RSM.1046-3 (2017). The TABLE II lists these differences:

TABLE II.

Comparison of this standard with ITU standards

Comparison ObjectiveThis StandardITU
1SourceISO/IECITU-RSM.1046-3
2TermSpectral EfficiencySpectrum Efficiency
3AbbreviationMCS SEUSE
4Factorbps/HzU = B · S · T
5Considering factors
  • Capacity

  • Resource element (Hz)

  • Time (second)

  • Bandwidth

  • Geometric space (area)

  • Time

6Improvement method
  • Modulation

  • Channel Coding

  • Antenna Directivity

  • Geographical Spacing

  • Frequency Sharing

  • Orthogonal Frequency use

  • Time-sharing

  • Time division

7SE Gain potentialsSky is the limitLimited potential
8PerspectiveCommunication systemUser
9ServiceFor allDenying others

The MCS spectrum efficiency defined in this standard refers to the number of bits of valid information transmitted per second per hertz frequency resource through technical means such as modulation and channel coding.

The value of MCS spectrum efficiency is relatively fixed. So long as we know the modulation mechanism and channel coding method used, we can deduct the performance level of the theoretical MCS spectrum efficiency. Because of the small variety of modulation mechanism and channel coding methods, some mainstream technology applications are very broad, such as M-QAM technology in the field of modulation and Turbo code and LDPC code in the field of channel coding. Therefore, MCS spectrum efficiency can be used as a general and important index to assess the performance level of ICT in different fields.

B.
Deciding the Range of SE

Currently, communication systems having SE no higher than 10 bps/Hz, some systems may reach 12 bps/Hz in about five years from now. At such a low SE rate, there is no need for a standard classify SE levels.

However, standards are expected to identify future trends, provide directions for technological development, and to have market relevance lasting decades. Since there have been technical trends indicating potential breakthrough in spectral efficiency, this standard takes into account of SE in the hundreds and thousands bps/Hz range.

C.
MCS SE Classification Architecture

MCS SE classification system contains three schemes described in TABLE III.

TABLE III.

MCS SE classification system description scheme

SchemeFeatureFormatPurpose
ATwo Letter#-SEIndicating specific product SE capabilities
BThree LetterVSEGroup SE into category of levels
CFour letterDDSEProvide an alternative and simpler classification of SE
DTwo levelsLowerMake broader range
V.
MCS Spectral Efficiency Classification Schemes
A.
MCS SE Classification A: Two Letter Scheme

The two letter MCS SE classification system uses only two letters “SE” with numbers indicating specific bps/Hz. It is used not for referring to a level or class, but rather to indicate specific SE performance of a product.

Expression description: number of bits (omitting “s/Hz”) with“-“followedby“SE”, indicating “spectral efficiency at specific bps/Hz”.”

Example:

  • “56-SE”, which means spectral efficiency rate at 56 bps/Hz.

  • “256-SE”, which means spectral efficiency rate at 256 bps/Hz.

  • “1008-SE”, which means spectral efficiency rate at 1008 bps/Hz.

B.
MCS SE Classification B: Three Letter Scheme
TABLE IV.

Three letter scheme in MCS SE classification scheme

SE IndexIndex nameFull TitleSE Range (bps/Hz)TSEI* (bps/Hz)
SEI 1BSEBasic Spectral Efficiency0.1~2.02
SEI 2LSELow Spectral Efficiency2.1~5.95
SEI 3MSEMedium Spectral Efficiency6~10.910
SEI 4HSEHigh Spectral Efficiency11~1515
SEI 5VSEVery-High Spectral Efficiency16~2020
SEI 6USEUltra-High Spectral Efficiency21~3232
SEI 7SSESuper Spectral Efficiency33~6464
SEI 8OSEOne-hundred level spectral efficiency65~128128
SEI 9ESEExtreme Spectral Efficiency129~256256
SEI 10DSE500 Spectral Efficiency257~512512
SEI 11JSEJump Level spectral efficiency513~999768
SEI 121-KSE1K Spectral efficiency1000~19991024
SEI 132-KSE2K Spectral efficiency2000~29992048
SEI 143-KSE3K Spectral efficiency3000~39993072
SEI 154-KSE4K Spectral efficiency4000~49994096
SEI 16XSEX Spectral efficiency5000~69996144
*

TSEI is the Typical SE indicator for its class.

As Spectral Efficiency increases, the gaps among the Three Letter Scheme also expand. In SEI 4 and SEI 5, for example, there are only 4 bits differences separating the high from the low. In SEI 9, the gaps are over 200 bits and in SEI 12, the gaps grow to one thousand.

It is anticipated that there will be need for more accurate SE references or comparisons for the upper part of the Three Letter Schemes. In that case and when technological development requires such changes, the Three Letter Scheme may use the following extension Scheme.

  • Rule 1. No extension needed for indexes SEI 1~6.

  • Rule 2. The extension in grouped into two index tables, one for SE lower than 1000 bps/Hz (TABLE V) and the other is for SE above 1000 bps/Hz (TABLE VI).

  • Rule 3. A single double digit decimal number is added to index name to indicate extension numbers.

  • Rule 4. For SSE and OSE indexes, 5bps/Hz is used as bases for extension unit.

  • Rule 5. For ESE and DSE indexes, 10bps/Hz is used as bases for extension unit.

  • Rule 6. For JSE indexes, 20bps/Hz is used as bases for extension unit.

  • Rule 7. For KSE indexes, 50bps/Hz is used as bases for extension unit.

  • Rule 8. For XSE indexes, 100bps/Hz is used as bases for extension unit.

TABLE V.

Extended index of SE lower than 1000 bps/Hz

SEI 733–64SEI 865~128SEI-9129–256SEI 10257~512SEI 11513~999
EXTSEEXTSEEXTSEEXTSEEXTSE
IndexRANGEIndexRANGEIndexRANGEIndexRANGEIndexRANGE
SSE 133–38OSE 165–69ESE 1129–139DSE 1257–269JSE 1513–539
SSE 239–43OSE 270–74ESE 2140–149DSE 2270–279JSE 2540–559
SSE 344–49OSE 375–79ESE 3150–159DSE 3280–289JSE 3560–579
SSE 450–55OSE 480–84ESE 4160–169DSE 4290–299JSE 4580–599
SSE 556–60OSE 585–89ESE 5170–179DSE 5300–319JSE 5600–619
SSE 661–64OSE 690–94ESE 6180–189DSE 6320–329JSE 6620–639
OSE 795–99ESE 7190–199DSE 7330–339JSE 7640–659
OSE 8100–104ESE 8200–209DSE 8340–349JSE 8660–679
OSE 9105–109ESE 9210–219DSE 9350–359JSE 9680–699
OSE 10110–114ESE 10220–229DSE 10360–369JSE 10700–719
OSE 11115–119ESE 11230–239DSE 11370–379JSE 11720–739
OSE 12120–124ESE 12240–249DSE 12380–389JSE 12740–759
OSE 13125–128ESE 13250–256DSE 13390–399JSE 13760–779
DSE 14400–409JSE 14780–799
DSE 15410–419JSE 15800–819
DSE 16420–429JSE 16820–839
DSE 17430–439JSE 17840–859
DSE 18440–449JSE 18860–879
DSE 19450–459JSE 19880–899
DSE 20460–469JSE 20900–919
DSE 21470–479JSE 21920–939
DSE 22480–489JSE 22940–959
DSE 23490–499JSE 23960–979
DSE 24500–512JSE 24980–999
TABLE VI.

Extended index of KSE and XSE (SE above 1000 bps/Hz)

SEI 121000–1999SEI 132000–2999SEI 133000–3999SEI 144000–4999SEI 155000–6999
EXTSEEXTSEEXTSEEXTSEEXTSE
IndexRANGEIndexRANGEIndexRANGEIndexRANGEIndexRANGE
1KSE 11000–10492KSE 12000–20493KSE 13000–30494KSE 14000–4049XSE 15000–5099
1KSE 21050–10992KSE 22050–20993KSE 23050–30994KSE 24050–4099XSE 25100–5199
1KSE 31100–11402KSE 32100–21403KSE 33100–31404KSE 34100–4140XSE 35200–5299
1KSE 41150–11992KSE 42150–21993KSE 43150–31994KSE 44150–4199XSE 45300–5399
1KSE 51200–12492KSE 52200–22493KSE 53200–32494KSE 54200–4249XSE 55400–5499
1KSE 61250–12992KSE 62250–22993KSE 63250–32994KSE 64250–4299XSE 65500–5599
1KSE 71300–13492KSE 72300–23493KSE 73300–33494KSE 74300–4349XSE 75600–5699
1KSE 81350–13992KSE 82350–23993KSE 83350–33994KSE 83350–4399XSE 85700–5799
1KSE 91400–14492KSE 92400–24493KSE 93400–34494KSE 94400–4449XSE 95800–5899
1KSE 101450–14992KSE 102450–24993KSE 103450–34994KSE 104450–4499XSE 105900–5999
1KSE 111500–15492KSE 112500–25493KSE 113500–35494KSE 114500–4549XSE 116000–6099
1KSE 121550–15992KSE 122550–25993KSE 123550–35994KSE 124550–4599XSE 126100–6199
1KSE 131600–16492KSE 132600–26493KSE 133600–36494KSE 134600–4649XSE 136200–6299
1KSE 141650–16992KSE 142650–26993KSE 143650–36994KSE 144650–4699XSE 146300–6399
1KSE 151700–17492KSE 152700–27493KSE 153700–37494KSE 154700–4749XSE 156400–6499
1KSE 161750–17992KSE 162750–27993KSE 163750–37994KSE 164750–4799XSE 166500–6599
1KSE 171800–18492KSE 172800–28493KSE 173800–38494KSE 174800–4849XSE 176600–6699
1KSE 181850–18992KSE 182850–28993KSE 183850–38994KSE 184850–4899XSE 186700–6799
1KSE 191900–19492KSE 192900–29493KSE 193900–39494KSE 194900–4949XSE 196800–6899
1KSE 201950–19992KSE 202950–29993KSE 203950–39994KSE 204950–4999XSE 206900–6999
C.
MCS SE Classification C: Four Letter Scheme
TABLE VII.

Four letter scheme in MCS SE classification scheme

TitleWhole TitleSE (bps/Hz)Relative B categories
1SDSESingle Digits Spectral Efficiency0–9BSE, LSE, MSE
2DDSEDouble Digits Spectral Efficiency10–99HSE, VSE, USE, SSE, OSE
3TDSETriple Digits Spectral Efficiency100–999ESE, DSE, JSE
4QDSEQuadruple Digits Spectral Efficiency1000–9999M-KSE, XSE
D.
MCS SE Classification D: Comparative Scheme
TABLE VIII.

Comparison scheme of MCS SE classification scheme

TitleWhole TitleSE (bps/Hz)Relation with other categories
1LlowernoneAll levers below a specific class
2HhighernoneAll levers above a specific class
VI.
Sample of Making References
A.
Making reference to the standard

This standard is giving the original title “OCC-STD 21001”, established by the developer institution. When adopted into other standard systems such as China's Industry standard, National Standard, ISO standard and ITU standard, the title and number may be reassigned. Before then, “OCC-STD 21001” is the only source for MCS SE classifications.

In the future, when making references to the classification schemes, it is recommended that a note is included in the document that the SE classifications are defined in “OCC-STD 21001 (2021)” developed by Nanjing Bofeng Communication Technologies Ltd.

B.
Examples Referring Specific Classification Levels
  • In 2023, the company is expected to deliver communications systems utilizing innovative modulation schemes that can provide VSE level spectral efficiency defined in “OCC-STD 21001”.

  • Comparing MCS spectral efficiency, the two products belong to two generations with Sample A is only at the VSE level while Sample B contains USE modulation technology.

  • Industry consensus is that the KSE level spectral efficiency technology is only a few years away.

  • Some experts anticipate that entering the next decade, communication systems can reach the QDSE level Spectral Efficiency as defined in the Four Letter Classification System in “OCC-STD 21001”.

C.
Recommended Use of Comparative Scheme
  • When use these two expressions, they shall be accompanied with reference to a specific SE class level.

  • Example:

  • So far, the most advanced wireless communication system have MCS spectral efficiencies lower than the VSE level as defined in “OCC-STD 21001”.

  • It is expected that products with higher spectral efficiency than the VSE level will enter service by 2025.

  • The new system has backward compatibility design providing continuous support to MCS SE levels of.

D.
Referring Specific SE Rate

When referring specific SE rate, the following statement are examples:

  • “Bofeng.com offers two radio systems that operate at SSE level spectral efficiency as defined in “OCC-STD 21001”. Radio A system has 48-SE modulation scheme and Radio B system has 64-SE capabilities.

  • Product specification: MCS SE: 32-SE, 48-SE and 64-SE. This description indicates the system contains three types of MCS supporting three SE rates.

VII.
Potential Impact on Future Network Standardization

Future Network is an International Standardization project created and managed by ISO/IEC. The project has produced technical reports in ISO/IEC TR 29181 series and is in the process setting architectures and protocols. The project is known for its distinctive “clean slate design” approach and works on fundamental structural innovations to allow Future Network deliver its promises.

Making MCS-SE classification system a Future Network standardization item can benefit the project in many ways. Firstly, ISO/IEC Future Network will become the first international standards adopting a MCS SE classification system; Secondly, Other standardization bodies may adopt this system or make normative reference to this standard; Thirdly, ISO/IEC Future Network becomes the first standard indicating future trends in MCS SE development; Fourthly, the inclusion of three digits and four digits MCS SE in Future Network standards will reflect the huge potential of network performance and capabilities; and finally, the successful adoption of this standard will open the door of ISO/IEC Future Network standards to future technologies that achieve higher and higher MCS SE.

ISO/IEC Future Network should prepare itself for future breakthrough in SE technology and make plans to adapt Future Network to the fast changing “Post Shannon Era” technological revolutions.

References
[1] T. M. Cover and J. A. Thomas, Elements of Information Theory. Hoboken, NJ, USA: Wiley, 2006.
CoverT. M. ThomasJ. A. Elements of Information Theory Hoboken, NJ, USA Wiley 2006
[2] L. Daoben, Waveform Coding Theory of High Spectral Efficiency-OVTDM and Its Application. Beijing, China: Scientific, 2013.
DaobenL. Waveform Coding Theory of High Spectral Efficiency-OVTDM and Its Application Beijing, China Scientific 2013
[3] L. Daoben, “A novel high spectral efficiency waveform coding–OVFDM,” China Commun., vol. 12, no. 2, pp. 61–73, Feb. 2015.
DaobenL. “A novel high spectral efficiency waveform coding–OVFDM,” China Commun. 12 2 61 73 Feb. 2015
[4] S. G. Wilson, Digital Modulation and Coding. Englewood Cliffs, NJ, USA: Prentice-Hall, 1996.
WilsonS. G. Digital Modulation and Coding Englewood Cliffs, NJ, USA Prentice-Hall 1996
[5] L. Daoben, “A novel high spectral efficiency waveform coding-OVTDM,” Int. J. Wireless Commun. Mobile Comput., vol. 2, nos. 1–4, pp. 11–26, Dec. 2014.
DaobenL. “A novel high spectral efficiency waveform coding-OVTDM,” Int. J. Wireless Commun. Mobile Comput. 2 1–4 11 26 Dec. 2014
[6] L. Daoben, Statistical Theory of Signal Detection and Estimation, 2nd ed. Beijing, China: Scientific, 2005
DaobenL. Statistical Theory of Signal Detection and Estimation 2nd ed. Beijing, China Scientific 2005
[7] J. G. Proakis, Digital Communications. New York, NY, USA: McGraw-Hill, 2001.
ProakisJ. G. Digital Communications New York, NY, USA McGraw-Hill 2001
[8] G. J. Foschini, “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs Tech. J., vol. 1, no. 2, pp. 41–59, 1996.
FoschiniG. J. “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs Tech. J. 1 2 41 59 1996
[9] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Commun., vol. 6, no. 3, pp. 311–335, Mar. 1998
FoschiniG. J. GansM. J. “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Commun. 6 3 311 335 Mar. 1998
[10] S. Wu, L. Kuang, Z. Ni, J. Lu, D. D. Huang, and Q. Guo, “Low-complexity iterative detection for large-scale multiuser MIMO-OFDM systems using approximate message passing,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 902–915, Oct. 2014.
WuS. KuangL. NiZ. LuJ. HuangD. D. GuoQ. “Low-complexity iterative detection for large-scale multiuser MIMO-OFDM systems using approximate message passing,” IEEE J. Sel. Topics Signal Process. 8 5 902 915 Oct. 2014
[11] N. Wu, W. Yuan, H. Wang, Q. Shi, and J. Kuang, “Frequency-domain iterative message passing receiver for faster-than-Nyquist signaling in doubly selective channels,” IEEE Wireless Commun. Lett., vol. 5, no. 6, pp. 584–587, Dec. 2016.
WuN. YuanW. WangH. ShiQ. KuangJ. “Frequency-domain iterative message passing receiver for faster-than-Nyquist signaling in doubly selective channels,” IEEE Wireless Commun. Lett. 5 6 584 587 Dec. 2016
[12] J. CØspedes, P. M. Olmos, M. SÆnchez-FernÆndez, and F. Perez-Cruz, “Expectation propagation detection for high-order high-dimensional MIMO systems,” IEEE Trans. Commun., vol. 62, no. 8, pp. 2840–2849, Aug. 2014.
CØspedesJ. OlmosP. M. SÆnchez-FernÆndezM. Perez-CruzF. “Expectation propagation detection for high-order high-dimensional MIMO systems,” IEEE Trans. Commun. 62 8 2840 2849 Aug. 2014
[13] A. L. Swindlehurst, E. Ayanoglu, P. Heydari, and F. Capolino, “Millimeterwave massive MIMO: The next wireless revolution?” IEEE Commun. Mag., vol. 52, no. 9, pp. 56–62, Sep. 2014.
SwindlehurstA. L. AyanogluE. HeydariP. CapolinoF. “Millimeterwave massive MIMO: The next wireless revolution?” IEEE Commun. Mag. 52 9 56 62 Sep. 2014
[14] H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Trans. Commun., vol. 61, no. 4, pp. 1436–1449, Apr. 2013.
NgoH. Q. LarssonE. G. MarzettaT. L. “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Trans. Commun. 61 4 1436 1449 Apr. 2013
[15] Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM Wireless Communication Technology With MATLAB. Beijing, China: Publishing House of Electronics Industry, 2013.
ChoY. S. KimJ. YangW. Y. KangC. G. MIMO-OFDM Wireless Communication Technology With MATLAB Beijing, China Publishing House of Electronics Industry 2013
[16] Y. D. Zhang, M. G. Amin, and B. Himed, “Altitude estimation of maneuvering targets in MIMO over-the-horizon radar,” in Proc. IEEE 7th IEEE Sensor Array Multichannel Signal Process. Workshop (SAM), Jun. 2012, pp. 257–260
ZhangY. D. AminM. G. HimedB. “Altitude estimation of maneuvering targets in MIMO over-the-horizon radar,” in Proc. IEEE 7th IEEE Sensor Array Multichannel Signal Process. Workshop (SAM) Jun. 2012 257 260
[17] E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, “Massive MIMO for next generation wireless systems,” IEEE Commun. Mag., vol. 52, no. 2, pp. 186–195, Feb. 2014.
LarssonE. G. EdforsO. TufvessonF. MarzettaT. L. “Massive MIMO for next generation wireless systems,” IEEE Commun. Mag. 52 2 186 195 Feb. 2014
[18] U. Gustavsson et al., “On the impact of hardware impairments on massive MIMO,” in Proc. IEEE Global Telecommun. Conf. Workshops (GC Wkshps), Austin, TX, USA, Dec. 2014, pp. 294–300.
GustavssonU. “On the impact of hardware impairments on massive MIMO,” in Proc. IEEE Global Telecommun. Conf. Workshops (GC Wkshps) Austin, TX, USA Dec. 2014 294 300
[19] E. Björnson, M. Matthaiou, and M. Debbah, “Massive MIMO with nonideal arbitrary arrays: Hardware scaling laws and circuit-aware design,” IEEE Trans. Wireless Commun., vol. 14, no. 8, pp. 4353–4368, Aug. 2015.
BjörnsonE. MatthaiouM. DebbahM. “Massive MIMO with nonideal arbitrary arrays: Hardware scaling laws and circuit-aware design,” IEEE Trans. Wireless Commun. 14 8 4353 4368 Aug. 2015
[20] J. E. Mazo and H. J. Landau, “On the minimum distance problem for faster-than-Nyquist signaling,” IEEE Trans. Inf. Theory, vol. 34, no. 6, pp. 1420–1427, Nov. 1988.
MazoJ. E. LandauH. J. “On the minimum distance problem for faster-than-Nyquist signaling,” IEEE Trans. Inf. Theory 34 6 1420 1427 Nov. 1988
[21] F. Rusek and J. B. Anderson, “CTH04-1: On information rates for faster than Nyquist signaling,” in Proc. IEEE GLOBECOM, Nov./Dec. 2006, pp. 1–5.
RusekF. AndersonJ. B. “CTH04-1: On information rates for faster than Nyquist signaling,” in Proc. IEEE GLOBECOM Nov./Dec. 2006 1 5
[22] F. Rusek and J. B. Anderson, “Multistream faster than Nyquist signaling,” IEEE Trans. Commun., vol. 57, no. 5, pp. 1329–1340, May 2009.
RusekF. AndersonJ. B. “Multistream faster than Nyquist signaling,” IEEE Trans. Commun. 57 5 1329 1340 May 2009
[23] J. B. Anderson, F. Rusek, and V. Öwall, “Faster-than-Nyquist signaling,” Proc. IEEE, vol. 101, no. 8, pp. 1817–1830, Aug. 2013.
AndersonJ. B. RusekF. ÖwallV. “Faster-than-Nyquist signaling,” Proc. IEEE 101 8 1817 1830 Aug. 2013
[24] A. Prlja and J. B. Anderson, “Reduced-complexity receivers for strongly narrowband inter symbol interference introduced by faster-than-Nyquist signaling,” IEEE Trans. Commun., vol. 60, no. 9, pp. 2591–2601, Sep. 2012.
PrljaA. AndersonJ. B. “Reduced-complexity receivers for strongly narrowband inter symbol interference introduced by faster-than-Nyquist signaling,” IEEE Trans. Commun. 60 9 2591 2601 Sep. 2012
[25] S. Sugiura, “Frequency-domain equalization of faster-than-Nyquist signaling,” IEEE Wireless Commun. Lett., vol. 2, no. 5, pp. 555–558, Oct. 2013.
SugiuraS. “Frequency-domain equalization of faster-than-Nyquist signaling,” IEEE Wireless Commun. Lett. 2 5 555 558 Oct. 2013
[26] J. Fan, S. Guo, X. Zhou, Y. Ren, G. Y. Li, and X. Chen, “Faster-than Nyquist signaling: An overview,” IEEE Access, vol. 5, pp. 1925–1940, 2017.
FanJ. GuoS. ZhouX. RenY. LiG. Y. ChenX. “Faster-than Nyquist signaling: An overview,” IEEE Access 5 1925 1940 2017
[27] K. Takeuchi, M. Vehkapera, T. Tanaka, and R. R. Muller, “Large-system analysis of joint channel and data estimation for MIMO DS-CDMA systems,” IEEE Trans. Inf. Theory, vol. 58, no. 3, pp. 1385–1412, Mar. 2012.
TakeuchiK. VehkaperaM. TanakaT. MullerR. R. “Large-system analysis of joint channel and data estimation for MIMO DS-CDMA systems,” IEEE Trans. Inf. Theory 58 3 1385 1412 Mar. 2012
[28] D. Dasalukunte, V. Öwall, F. Rusek, and J. B. Anderson, Faster than Nyquist Signaling: Algorithms to Silicon. Dordrecht, The Netherlands: Springer, 2014.
DasalukunteD. ÖwallV. RusekF. AndersonJ. B. Faster than Nyquist Signaling: Algorithms to Silicon Dordrecht, The Netherlands Springer 2014
[29] E. Bedeer, M. H. Ahmed, and H. Yanikomeroglu, “A very low complexity successive symbol-by-symbol sequence estimator for faster-than-Nyquist signaling,” IEEE Access, vol. 5, pp. 7414–7422, 2017.
BedeerE. AhmedM. H. YanikomerogluH. “A very low complexity successive symbol-by-symbol sequence estimator for faster-than-Nyquist signaling,” IEEE Access 5 7414 7422 2017
[30] A. D. Liveris and C. N. Georghiades, “Exploiting faster-than-Nyquist signaling,” IEEE Trans. Commun., vol. 51, no. 9, pp. 1502–1511, Sep. 2003.
LiverisA. D. GeorghiadesC. N. “Exploiting faster-than-Nyquist signaling,” IEEE Trans. Commun. 51 9 1502 1511 Sep. 2003
[31] Y. J. D. Kim and J. Bajcsy, “Iterative receiver for faster-than-Nyquist broadcasting,” Electron. Lett., vol. 48, no. 24, pp. 1561–1562, Nov. 2012.
KimY. J. D. BajcsyJ. “Iterative receiver for faster-than-Nyquist broadcasting,” Electron. Lett. 48 24 1561 1562 Nov. 2012
[32] Y. J. D. Kim, J. Bajcsy, and D. Vargas, “Faster-than-Nyquist broadcasting in Gaussian channels: Achievable rate regions and coding,” IEEE Trans. Commun., vol. 64, no. 3, pp. 1016–1030, Mar. 2016.
KimY. J. D. BajcsyJ. VargasD. “Faster-than-Nyquist broadcasting in Gaussian channels: Achievable rate regions and coding,” IEEE Trans. Commun. 64 3 1016 1030 Mar. 2016
未来网络通讯的频谱效率分类方案
  • 王中生

    新型网络与检测控制国家实验室

    西安工业大学

    中国陕西省西安市未央区学府中路 No.2 号

  • 张庆松

    新型网络与检测控制国家实验室

    西安工业大学

    中国陕西省西安市未央区学府中路 No.2 号

摘要:作为一个由 ISO/IEC 创建和管理的国际标准化项 目,未来网络已产生了 ISO/IEC TR 29181 系列的技术 报告,并正处于设置体系架构和协议的阶段。该项目以 其独特的“全新设计”方式而闻名,并致力于基本的结构创新,以使得未来网络实现其所承诺的目标。同时,未来网络的标准化工作将为 SE 技术的未来突破做好准 备,并制定计划,使未来网络适应快速变化的“后香农时 代”技术革命。本标准参考射频频带分类机制,对 MCS 系统的频谱效率进行分类,便于对信息系统的频谱效率进行分类、讨论、评价和比较。

关键词:未来网络通讯; 频谱效率分类方案; 国际标准

1.
介绍

本文是超限未来网络的第一项国际标准提案 (草案),该提案(草案)的开发,依托于 JTC 1/SC 6/WG 7 工作团队,申请负责人是张庆松博 士(南京博峰),提案的提议人是王中生教授 (西安工业大学),开发过程中作为联络人的 团队是 ITU-R 和 ICAO,同时联合 ECMA、3GPP 和 IEEE 三个组织进行合作开发。

本文按照以下三份文件的规定进行拟定:

  • ISO/IEC TR 29181:未来网络:问题陈述和 要求,第 1-9 部分;

  • ITU-R SM.856-1:新频谱效率技术和系统 (1992–1997);

  • ITU-R SM.1046-3:无线电系统频谱使用效率 的定义(2017-09-06)。

本文作为一份“工业、创新和基础建设”领 域的国际标准提案(草案),提供了调制编码 方案频谱效率 MCS SE(Modulation and Coding Scheme Spectral Efficiency)的分类方案,包括 以下六个方面:

  • MCS SE 的定义;

  • MCS SE 的分类方法;

  • MCS SE 的命名体系;

  • SECS 推荐使用的示例;

  • 对未来网络标准化的潜在影响;

  • 频谱效率 SE 和频谱利用效率之间的不同点。

2.
开发背景

频谱效率是衡量信息通信系统发展水平的一 个关键指标,它可以反应甚至影响诸多关键性 能指标,包括频谱资源的有效利用率、信息传 输率、信道容量等等。频谱效率越高,资源受 限频谱的资源利用率就越高,同时传输速率越 高,那么信息吞吐量也就越大。因此,提高频 谱效率是信息通信技术(ICT)创新最关键的目 标之一。

随着数字信息和计算机科学技术的发展,信 息通信系统的频谱效率水平也在不断提高。20 年前的通信系统频谱效率还处于很低的水平, 仅有 1 到 2 个比特。经过 20 年的发展,部分技 术领域已经采用了 10 比特的频谱效率技术,更 有一些领域已经将 12 比特频谱效率纳入下一代 技术标准规划中。

但是,上述这一发展速度并不是直线上升的。 根据历史经验和技术特点分析, 由于多进制正 交调幅(M-QAM)调制和反调制技术的先天限 制,未来的信息和通讯系统的频谱效率水平的 发展速度将放缓,预计在 20 年内达到 16 比特, 45 年内达到 20 比特,而突破这一限制也是提高 频谱效率的关键机制。与此同时,也不能排除 由于信息通信物理基础层新理论和新技术的出 现,而导致频谱效率的快速提高的可能性。

在后香农时代,高频谱效率将会成为信息通 讯技术(ICT)水平的主要表现形式。在接下来 的十到二十年内,对通信技术频谱效率的讨论 和评价标准将超过 20 比特,达到几百比特甚至 几千比特。通讯产品也将会促进频谱效率作为 主要技术水平及服务能力的标志。

在 现 有 的 国 际 电 信 联 盟 ( ITU )标准 RSM.1046-3 中规定了频谱利用效率的定义和 使用各种系统频谱的评估方法,但没有提供调 制编码方案(MCS)频谱效率的分类机制。而 这种机制,对未来通信系统频谱效率的讨论、 分析、评估、选择和管理是必需的。

例如,在一些技术或政策文件中,经常可以 看到对“低频谱效率”和“高频谱效率”的讨 论,但没有技术规范来定义和解释这两个概念。 多少比特的频谱效率是“低频谱效率”? 多少位 的频谱效率是“高频谱效率”? 相当一部分的划 分方式中,将 10 比特系统称为“高频谱效率”, 那么 16 比特、20 比特、32 比特甚至 128 比特 的频谱效率如何归类呢? 因此,仅仅只有“低频 谱效率”和“高频谱效率”这两级分类标准是不 能满足未来发展趋势和更精确的频谱效率分类 的需要的。

在无线电频谱管理中,对频谱资源有多种分 类方案,这里我们列举其中四种方案:①将频 率资源(RE)划分为千赫兹、兆赫、千兆赫兹和 太赫兹;②基于波长,将频率资源(RE)分为 超长波、长波、中波、短波、超短波、微波等 类别;③按频率分类的方法,即超低频(VLF)、 低频、中频、中高频、高频、极高频(VHF)、 超高频(UHF)等;④以英文字母为标志,将 频谱资源 RE 分为 L-波段、S-波段、C-波段、 X-波段、Ku-波段、K-波段、Ka-波段等。

本标准参考射频频带分类机制,对 MCS 系 统的频谱效率进行分类,便于对信息系统的频 谱效率进行分类、讨论、评价和比较。

3.
术语规定
3.1
缩写
表 1

术语缩写示例

缩写全称中文名称
MCSModulation and Coding Scheme调制编码方案
MIMOMultiple Input Multiple Output多入多出技术
FNFuture Network未来网络
OFDMOrthogonal Frequency Division Multiplexing正交频分复用
OCCSOver-Capacity Communication Systems超容量通讯系统
OVXDMOverlapped X Domain Division Multiplexing重叠 X 分域复用系统
OVTDMOverlapped Time Domain Division Multiplexing重叠时分域复用系统
QAMQuadrature Amplitude Modulation正交调幅
REResource Element资源元素
RSERelative Spectral Efficiency相对频谱效率
SESpectral Efficiency频谱效率
SEISpectral Efficiency Index频谱效率指标
SUESpectrum Utilization Efficiency频谱使用效率
TSEITypical SE Indicator经典频谱效率指示器
3.2
术语定义

超容量通讯:信息交换的容量超过香农限制。

OVXDM:一种创新的调制编码方式,利用 时间、频率、空间等多个域以及编码的重叠和 多路复用,以达到更高的频谱效率,无编码开 销,更高的编码增益和解码的低复杂度。

调制编码方案的频谱效率:根据通信系统的 调制和编码方案,每一资源单元(RE 以 H 为单 位)每秒发送的最大有用信息量。

频谱使用率:频率带宽、几何(地理)空间 和 时 间 的 乘 积 , 不 包 含 其 他 潜 在 因 子 :U = B · S ·T

香农限制:又称香农容量,在十九世纪四十 年代由 Claude Shannon 定义,为单一信道在一 定噪声水平下设定理论上最高的信息传输速率 的极限。

未来网络:一个由 ISO/IEC 开发和管理的国 际标准项目,它是基于全新的网络系统设计方 法。出版物包括 ISO/IEC TR 29181 和 ISO/IEC 21558-21559。

4.
MCS SE 分类原则
4.1
频谱效率(SE)和超高频谱效率(USE)的区分

本标准中定义的 SE(频谱效率)不应该与 ITU-RSM.1046-3 (2017)中的频谱效率混淆。下面的表格所列的是它们之间的区别:

表 2

本标准与 ITU 标准对比

比较对象本标准ITU
1来源ISO/IECITU-RSM.1046-3
2术语Spectral EfficiencySpectrum Efficiency
3缩写词MCS SEUSE
4因子波特率 bps/HzU=B·S·T
5考虑因素
  • 容量

  • 资源元素 (赫兹 Hz)

  • 时间 (秒)

  • 带宽

  • 几何空间 (空间)

  • 时间

6改进方法
  • 调制

  • 通道编码

  • 天线指向性

  • 地理空间

  • 频率公用

  • 正交频率使用

  • 分时技术

  • 时间划分

7SE 增益潜力空域限制了 SE 增益SE 增益是有限的
8视角通讯系统用户
9服务对所有开放拒绝其他的使用

本标准定义的 MCS 频谱效率是指通过调制 和信道编码等技术手段,而获得的每赫兹频率 资源每秒传输的有效信息位数。

MCS 的频谱效率值是相对固定的,只要知道 所使用的调制机制和信道编码方法,就可以推 导出 MCS 频谱效率在理论上的性能水平。由于 调制机制和信道编码方法种类较少,于是一些主流技术的应用非常广泛,如调制领域中的 M-QAM 技术以及信道编码领域中的 Turbo 码 和 LDPC 码。因此,MCS 频谱效率可以作为衡 量 ICT 在不同领域性能水平的一个通用且重要 的指标。

4.2
确定 SE 的范围

目前,通信系统的 SE 不高于 10bps/Hz,一些系统可能在大约 5 年后达到 12bps/Hz。在如 此低的 SE 比率下,没有必要对 SE 水平进行标 准分类。

然而,人们期望这样的一个标准能够指向未 来的趋势,为技术发展提供方向,并具有持续 数十年的市场相关性。由于有技术趋势表明在 频谱效率方面有潜在的突破,本标准考虑了在 数百和数千 bps/Hz 范围内的频谱效率。

4.3
MCS SE 分类架构

MCS SE 分类系统包括下表中描述的三种方案:

表 3

MCS SE 分类系统描述方案

方案特征版本目的
A两个字母#-SE表示特定产品 SE 能力
B三个字母VSE将 SE 按级别类别分组
C四个字母DDSE提供一个可替代的、更简单的SE 分类
D二级Lower更广泛的级别
5.
MCS 频谱效率分类方案
5.1
MCS SE 类 A:两个字母方案

两个字母的 MCS SE 分类系统只使用两个字母“SE”和数字显示特定的 bps/Hz. 它不是用 于引用级别或类,而是用于指示产品的特定 SE 性能。

表达式描述:带“-”后跟“SE”的比特数(省略 “s/Hz”),表示“特定 bps/Hz 下的频谱效率”。

例如:

  • “56-SE” 表示 56bps/Hz 的频谱效率。

  • “256-SE” 表示 256bps/Hz 的频谱效率。

  • “1008-SE” 表示 1008bps/Hz 的频谱效率。

5.2
MCS SE 类 B:三字母名称方案
表 4

MCS SE 分类方案中的三字母方案

SE 索引索引名全称SE 范围(bps/Hz)TSEI* (bps/Hz)
SEI 1BSEBasic Spectral Efficiency基本频谱效率0.1~2.02
SEI 2LSELow Spectral Efficiency低频谱效率2.1~5.95
SEI 3MSEMedium Spectral Efficiency中频谱效率6~10.910
SEI 4HSEHigh Spectral Efficiency高频谱效率11~1515
SEI 5VSEVery-High Spectral Efficiency极高频谱效率16~2020
SEI 6USEUltra-High Spectral Efficiency超高频谱效率21~3232
SEI 7SSESuper Spectral Efficiency超级频谱效率33~6464
SEI 8OSEOne-hundred level spectral efficiency100 级频谱效率65~128128
SEI 9ESEExtreme Spectral Efficiency极大频谱效率129~256256
SEI 10DSE500 Spectral Efficiency500 频谱效率257~512512
SEI 11JSEJump Level spectral efficiency跃迁能级频谱效率513~999768
SEI 121-KSE1K Spectral efficiency1000 频谱效率1000~19991024
SEI 132-KSE2K Spectral efficiency2000 频谱效率2000~29992048
SEI 143-KSE3K Spectral efficiency3000 频谱效率3000~39993072
SEI 154-KSE4K Spectral efficiency4000 频谱效率4000~49994096
SEI 16XSEX Spectral efficiencyX 频谱效率5000~69996144
*

TSEI 该等级下的典型SE 指标.

随着频谱效率的提高,三字母方案之间的差 距也随之扩大。例如,在 SEI4 和 SEI5 中,只 有 4 字节差将高电平和低电平分开。在 SEI9 中, 间隙超过 200 字节,而在 SEI12 中,间隙增加 到 1000 字节。

对于三个字母方案的上部,预计需要更加准 确的 SE 参考资料或是比较方式。在这种情况下, 当技术发展需要这样的改变时,三字母方案可 以使用下列八条规则进行拓展:

  • 规则 1. SEI1~6 不需要拓展;

  • 规则 2. 拓展的分组被分为两张索引表,一张是如表 5 所示的 SE 低于 1000bps/Hz 的情况, 另一张是如表 6 所示的 SE 高于 1000bps/Hz 的情况;

  • 规则 3. 一个简单的两位十进制数被添加到 索引名字中来表示拓展数字;

  • 规则 4. 对于 SSE 和 OSE 索引,5bps/Hz 作为扩展单元的基础;

  • 规则 5. 对于 ESE 和 DSE 索引,10bps/Hz 作为扩展单元的基础;

  • 规则 6. 对于 JSE 索引,20bps/Hz 作为扩展单元的基础;

  • 规则 7. 对于 KSE 索引,50bps/Hz 作为扩展单元的基础;

  • 规则 8. 对于 XSE 索引,100bps/Hz 作为扩展单元的基础。

表 5

低于 1000SE 的拓展

SEI 733–64SEI 865~128SEI-9129–256SEI 10257~512SEI 11513~999
EXTSEEXTSEEXTSEEXTSEEXTSE
IndexRANGEIndexRANGEIndexRANGEIndexRANGEIndexRANGE
SSE 133–38OSE 165–69ESE 1129–139DSE 1257–269JSE 1513–539
SSE 239–43OSE 270–74ESE 2140–149DSE 2270–279JSE 2540–559
SSE 344–49OSE 375–79ESE 3150–159DSE 3280–289JSE 3560–579
SSE 450–55OSE 480–84ESE 4160–169DSE 4290–299JSE 4580–599
SSE 556–60OSE 585–89ESE 5170–179DSE 5300–319JSE 5600–619
SSE 661–64OSE 690–94ESE 6180–189DSE 6320–329JSE 6620–639
OSE 795–99ESE 7190–199DSE 7330–339JSE 7640–659
OSE 8100–104ESE 8200–209DSE 8340–349JSE 8660–679
OSE 9105–109ESE 9210–219DSE 9350–359JSE 9680–699
OSE 10110–114ESE 10220–229DSE 10360–369JSE 10700–719
OSE 11115–119ESE 11230–239DSE 11370–379JSE 11720–739
OSE 12120–124ESE 12240–249DSE 12380–389JSE 12740–759
OSE 13125–128ESE 13250–256DSE 13390–399JSE 13760–779
DSE 14400–409JSE 14780–799
DSE 15410–419JSE 15800–819
DSE 16420–429JSE 16820–839
DSE 17430–439JSE 17840–859
DSE 18440–449JSE 18860–879
DSE 19450–459JSE 19880–899
DSE 20460–469JSE 20900–919
DSE 21470–479JSE 21920–939
DSE 22480–489JSE 22940–959
DSE 23490–499JSE 23960–979
DSE 24500–512JSE 24980–999
表 6

KSE 和 XSE 拓展索引

SEI 121000–1999SEI 132000–2999SEI 133000–3999SEI 144000–4999SEI 155000–6999
EXTSEEXTSEEXTSEEXTSEEXTSE
IndexRANGEIndexRANGEIndexRANGEIndexRANGEIndexRANGE
1KSE 11000–10492KSE 12000–20493KSE 13000–30494KSE 14000–4049XSE 15000–5099
1KSE 21050–10992KSE 22050–20993KSE 23050–30994KSE 24050–4099XSE 25100–5199
1KSE 31100–11402KSE 32100–21403KSE 33100–31404KSE 34100–4140XSE 35200–5299
1KSE 41150–11992KSE 42150–21993KSE 43150–31994KSE 44150–4199XSE 45300–5399
1KSE 51200–12492KSE 52200–22493KSE 53200–32494KSE 54200–4249XSE 55400–5499
1KSE 61250–12992KSE 62250–22993KSE 63250–32994KSE 64250–4299XSE 65500–5599
1KSE 71300–13492KSE 72300–23493KSE 73300–33494KSE 74300–4349XSE 75600–5699
1KSE 81350–13992KSE 82350–23993KSE 83350–33994KSE 83350–4399XSE 85700–5799
1KSE 91400–14492KSE 92400–24493KSE 93400–34494KSE 94400–4449XSE 95800–5899
1KSE 101450–14992KSE 102450–24993KSE 103450–34994KSE 104450–4499XSE 105900–5999
1KSE 111500–15492KSE 112500–25493KSE 113500–35494KSE 114500–4549XSE 116000–6099
1KSE 121550–15992KSE 122550–25993KSE 123550–35994KSE 124550–4599XSE 126100–6199
1KSE 131600–16492KSE 132600–26493KSE 133600–36494KSE 134600–4649XSE 136200–6299
1KSE 141650–16992KSE 142650–26993KSE 143650–36994KSE 144650–4699XSE 146300–6399
1KSE 151700–17492KSE 152700–27493KSE 153700–37494KSE 154700–4749XSE 156400–6499
1KSE 161750–17992KSE 162750–27993KSE 163750–37994KSE 164750–4799XSE 166500–6599
1KSE 171800–18492KSE 172800–28493KSE 173800–38494KSE 174800–4849XSE 176600–6699
1KSE 181850–18992KSE 182850–28993KSE 183850–38994KSE 184850–4899XSE 186700–6799
1KSE 191900–19492KSE 192900–29493KSE 193900–39494KSE 194900–4949XSE 196800–6899
1KSE 201950–19992KSE 202950–29993KSE 203950–39994KSE 204950–4999XSE 206900–6999
5.3
MCS SE 类 C:四个字母方案
表 7

MCS SE 分类方案中的四字母方案

标题完整标题SE (bps/Hz)相对与 B 类
1SDSESingle Digits Spectral Efficiency单字节频谱效率0–9BSE,LSE,MSE
2DDSEDouble Digits Spectral Efficiency双字节频谱效率10–99HSE,VSE,USE,SSE,OSE
3TDSETriple Digits Spectral Efficiency三字节频谱效率100–999ESE,DSE,JSE
4QDSEQuadruple Digits Spectral Efficiency四字节频谱效率1000–9999M-KSE,XSE
5.4
MCS SE 类 D:比较方案
表 8

MCS SE 分类方案中的比较方案

标题完整标题SE (bps/Hz)与其他范畴的关系
1L所有低于特定类别的等级
2H所有高于特定类别的等级
6.
对本标准的描述

对本项标准内容的引用描述,可以参考以下形式。

6.1
参考标准

本标准的原名是“OCC-STD 21001”,由开发机构制定。在纳入中国行业标准、国家标准、 ISO 标准、国际电联标准等其他标准体系时,可对标题和编号进行重新分配。在此之前, “OCC-STD 21001”是 MCS SE 分类的唯一来源。

今后在参考分类方案时,建议在文件中注明 SE 分类在南京博丰通信技术有限公司开发的 “OCC-STD 21001(2021)”中进行定义。

6.2
参考特定分类级别的示例
  • (1)在 2023 年,该公司有望交付使用创新 调制方案的通信系统,可以提供 “OCC-STD 21001”中定义的 VSE 级频谱效率。

  • (2)比较 MCS 的频谱效率,两个产品属于 两代,A 样本仅在 VSE 水平,B 样本包含 USE 调制技术。

  • (3)行业共识是,KSE 级的频谱效率技术 只需要几年的时间。

  • (4)一些专家预计,进入下一个十年,通信 系统可以达到“OCC-STD 21001”四字母分类系 统中定义的 QDSE 级频谱效率。

6.3
推荐使用的比较方案

当使用这两个表达方式时,它们应该伴随着一个具体的 SE 分类水平,以便于比较。

  • (1)到目前为止,最先进的无线通信系统的 MCS 频谱效率低于“OCC-STD 21001”中定义的 VSE 水平。

  • (2)预计到 2025 年,频谱效率高于 VSE 水 平的产品将投入使用。

  • (3)新系统具有向后兼容设计,提供对 MCS SE 级的持续支持。

6.4
用以参考的专用 SE 比率

当参考专用 SE 比率时,下面两种情况为例:

  • (1)“Bofeng.com”提供两个无线电系统, 按照“OCC-STD 21001”中定义的 SSE 级频谱效 率运行。射频 A 系统具有 48-SE 调制方案,射 频 B 系统具有 64-SE 调制能力

  • (2)产品规格:MCS SE:32-SE、48-SE 和 64-SE。说明系统包含三种类型的 MCS,支持 三种 SE 速率。

7.
对未来网络标准化的潜在影响

未来网络是一个由 ISO/IEC 创建和管理的国 际标准化项目。该项目已经产生了 ISO/IEC TR 29181 系列的技术报告,并正处于设置体系架构 和协议的阶段。该项目以其独特的“全新设计” 方式而闻名,并致力于基本的结构创新,以使 得未来网络实现其所承诺的目标。

将 MCS-SE 分类系统作为未来网络标准化项 目,对项目的建设有多方面的好处。首先, ISO/IEC 未来网络将成为第一个采用 MCS SE 分类系统的国际标准;第二,其他标准化机构 可以采用该体系或对本标准进行规范引用;第 三,ISO/IEC 未来网络成为第一个预示 MCS SE 未来发展趋势的标准;第四,未来网络标准中 包含三比特和四比特的 MCS SE 将反映出网络 表现和容量的巨大潜力;最后,该标准的成功 采用将打开 ISO/IEC 未来网络标准的大门,以 实现越来越高的 MCS SE 的未来技术。

ISO/IEC 未来网络应该为 SE 技术的未来突破 做好准备,并制定计划,使未来网络适应快速 变化的“后香农时代”技术革命。

参考文献
[1] T. M. Cover and J. A. Thomas, Elements of Information Theory. Hoboken, NJ, USA: Wiley, 2006.
CoverT. M. ThomasJ. A. Elements of Information Theory Hoboken, NJ, USA Wiley 2006
[2] L. Daoben, Waveform Coding Theory of High Spectral Efficiency-OVTDM and Its Application. Beijing, China: Scientific, 2013.
DaobenL. Waveform Coding Theory of High Spectral Efficiency-OVTDM and Its Application Beijing, China Scientific 2013
[3] L. Daoben, “A novel high spectral efficiency waveform coding–OVFDM,” China Commun., vol. 12, no. 2, pp. 61–73, Feb. 2015.
DaobenL. “A novel high spectral efficiency waveform coding–OVFDM,” China Commun. 12 2 61 73 Feb. 2015
[4] S. G. Wilson, Digital Modulation and Coding. Englewood Cliffs, NJ, USA: Prentice-Hall, 1996.
WilsonS. G. Digital Modulation and Coding Englewood Cliffs, NJ, USA Prentice-Hall 1996
[5] L. Daoben, “A novel high spectral efficiency waveform coding-OVTDM,” Int. J. Wireless Commun. Mobile Comput., vol. 2, nos. 1–4, pp. 11–26, Dec. 2014.
DaobenL. “A novel high spectral efficiency waveform coding-OVTDM,” Int. J. Wireless Commun. Mobile Comput. 2 1–4 11 26 Dec. 2014
[6] L. Daoben, Statistical Theory of Signal Detection and Estimation, 2nd ed. Beijing, China: Scientific, 2005
DaobenL. Statistical Theory of Signal Detection and Estimation 2nd ed. Beijing, China Scientific 2005
[7] J. G. Proakis, Digital Communications. New York, NY, USA: McGraw-Hill, 2001.
ProakisJ. G. Digital Communications New York, NY, USA McGraw-Hill 2001
[8] G. J. Foschini, “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs Tech. J., vol. 1, no. 2, pp. 41–59, 1996.
FoschiniG. J. “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs Tech. J. 1 2 41 59 1996
[9] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Commun., vol. 6, no. 3, pp. 311–335, Mar. 1998
FoschiniG. J. GansM. J. “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Commun. 6 3 311 335 Mar. 1998
[10] S. Wu, L. Kuang, Z. Ni, J. Lu, D. D. Huang, and Q. Guo, “Low-complexity iterative detection for large-scale multiuser MIMO-OFDM systems using approximate message passing,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 902–915, Oct. 2014.
WuS. KuangL. NiZ. LuJ. HuangD. D. GuoQ. “Low-complexity iterative detection for large-scale multiuser MIMO-OFDM systems using approximate message passing,” IEEE J. Sel. Topics Signal Process. 8 5 902 915 Oct. 2014
[11] N. Wu, W. Yuan, H. Wang, Q. Shi, and J. Kuang, “Frequency-domain iterative message passing receiver for faster-than-Nyquist signaling in doubly selective channels,” IEEE Wireless Commun. Lett., vol. 5, no. 6, pp. 584–587, Dec. 2016.
WuN. YuanW. WangH. ShiQ. KuangJ. “Frequency-domain iterative message passing receiver for faster-than-Nyquist signaling in doubly selective channels,” IEEE Wireless Commun. Lett. 5 6 584 587 Dec. 2016
[12] J. CØspedes, P. M. Olmos, M. SÆnchez-FernÆndez, and F. Perez-Cruz, “Expectation propagation detection for high-order high-dimensional MIMO systems,” IEEE Trans. Commun., vol. 62, no. 8, pp. 2840–2849, Aug. 2014.
CØspedesJ. OlmosP. M. SÆnchez-FernÆndezM. Perez-CruzF. “Expectation propagation detection for high-order high-dimensional MIMO systems,” IEEE Trans. Commun. 62 8 2840 2849 Aug. 2014
[13] A. L. Swindlehurst, E. Ayanoglu, P. Heydari, and F. Capolino, “Millimeterwave massive MIMO: The next wireless revolution?” IEEE Commun. Mag., vol. 52, no. 9, pp. 56–62, Sep. 2014.
SwindlehurstA. L. AyanogluE. HeydariP. CapolinoF. “Millimeterwave massive MIMO: The next wireless revolution?” IEEE Commun. Mag. 52 9 56 62 Sep. 2014
[14] H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Trans. Commun., vol. 61, no. 4, pp. 1436–1449, Apr. 2013.
NgoH. Q. LarssonE. G. MarzettaT. L. “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Trans. Commun. 61 4 1436 1449 Apr. 2013
[15] Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM Wireless Communication Technology With MATLAB. Beijing, China: PublishingHouse of Electronics Industry, 2013.
ChoY. S. KimJ. YangW. Y. KangC. G. MIMO-OFDM Wireless Communication Technology With MATLAB Beijing, China PublishingHouse of Electronics Industry 2013
[16] Y. D. Zhang, M. G. Amin, and B. Himed, “Altitude estimation of maneuvering targets in MIMO over-the-horizon radar,” in Proc. IEEE 7th IEEE Sensor Array Multichannel Signal Process. Workshop (SAM), Jun. 2012, pp. 257–260
ZhangY. D. AminM. G. HimedB. “Altitude estimation of maneuvering targets in MIMO over-the-horizon radar,” in Proc. IEEE 7th IEEE Sensor Array Multichannel Signal Process. Workshop (SAM) Jun. 2012 257 260
[17] E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, “Massive MIMO for next generation wireless systems,” IEEE Commun. Mag., vol. 52, no. 2, pp. 186–195, Feb. 2014.
LarssonE. G. EdforsO. TufvessonF. MarzettaT. L. “Massive MIMO for next generation wireless systems,” IEEE Commun. Mag. 52 2 186 195 Feb. 2014
[18] U. Gustavsson et al., “On the impact of hardware impairments on massive MIMO,” in Proc. IEEE Global Telecommun. Conf. Workshops (GC Wkshps), Austin, TX, USA, Dec. 2014, pp. 294–300.
GustavssonU. “On the impact of hardware impairments on massive MIMO,” in Proc. IEEE Global Telecommun. Conf. Workshops (GC Wkshps) Austin, TX, USA Dec. 2014 294 300
[19] E. Björnson, M. Matthaiou, and M. Debbah, “Massive MIMO with nonideal arbitrary arrays: Hardware scaling laws and circuit-aware design,” IEEE Trans. Wireless Commun., vol. 14, no. 8, pp. 4353–4368, Aug. 2015.
BjörnsonE. MatthaiouM. DebbahM. “Massive MIMO with nonideal arbitrary arrays: Hardware scaling laws and circuit-aware design,” IEEE Trans. Wireless Commun. 14 8 4353 4368 Aug. 2015
[20] J. E. Mazo and H. J. Landau, “On the minimum distance problem for faster-than-Nyquist signaling,” IEEE Trans. Inf. Theory, vol. 34, no. 6, pp. 1420–1427, Nov. 1988.
MazoJ. E. LandauH. J. “On the minimum distance problem for faster-than-Nyquist signaling,” IEEE Trans. Inf. Theory 34 6 1420 1427 Nov. 1988
[21] F. Rusek and J. B. Anderson, “CTH04-1: On information rates for faster than Nyquist signaling,” in Proc. IEEE GLOBECOM, Nov./Dec. 2006, pp. 1–5.
RusekF. AndersonJ. B. “CTH04-1: On information rates for faster than Nyquist signaling,” in Proc. IEEE GLOBECOM Nov./Dec. 2006 1 5
[22] F. Rusek and J. B. Anderson, “Multistream faster than Nyquist signaling,” IEEE Trans. Commun., vol. 57, no. 5, pp. 1329–1340, May 2009.
RusekF. AndersonJ. B. “Multistream faster than Nyquist signaling,” IEEE Trans. Commun. 57 5 1329 1340 May 2009
[23] J. B. Anderson, F. Rusek, and V. Öwall, “Faster-than-Nyquist signaling,” Proc. IEEE, vol. 101, no. 8, pp. 1817–1830, Aug. 2013.
AndersonJ. B. RusekF. ÖwallV. “Faster-than-Nyquist signaling,” Proc. IEEE 101 8 1817 1830 Aug. 2013
[24] A. Prlja and J. B. Anderson, “Reduced-complexity receivers for strongly narrowband intersymbol interference introduced by faster-than-Nyquist signaling,” IEEE Trans. Commun., vol. 60, no. 9, pp. 2591–2601, Sep. 2012.
PrljaA. AndersonJ. B. “Reduced-complexity receivers for strongly narrowband intersymbol interference introduced by faster-than-Nyquist signaling,” IEEE Trans. Commun. 60 9 2591 2601 Sep. 2012
[25] S. Sugiura, “Frequency-domain equalization of faster-than-Nyquist signaling,” IEEE Wireless Commun. Lett., vol. 2, no. 5, pp. 555–558, Oct. 2013.
SugiuraS. “Frequency-domain equalization of faster-than-Nyquist signaling,” IEEE Wireless Commun. Lett. 2 5 555 558 Oct. 2013
[26] J. Fan, S. Guo, X. Zhou, Y. Ren, G. Y. Li, and X. Chen, “Faster-thanNyquist signaling: An overview,” IEEE Access, vol. 5, pp. 1925–1940,2017.
FanJ. GuoS. ZhouX. RenY. LiG. Y. ChenX. “Faster-thanNyquist signaling: An overview,” IEEE Access 5 1925 1940 2017
[27] K. Takeuchi, M. Vehkapera, T. Tanaka, and R. R. Muller, “Large-system analysis of joint channel and data estimation for MIMO DS-CDMA systems,” IEEE Trans. Inf. Theory, vol. 58, no. 3, pp. 1385–1412, Mar. 2012.
TakeuchiK. VehkaperaM. TanakaT. MullerR. R. “Large-system analysis of joint channel and data estimation for MIMO DS-CDMA systems,” IEEE Trans. Inf. Theory 58 3 1385 1412 Mar. 2012
[28] D. Dasalukunte, V. Öwall, F. Rusek, and J. B. Anderson, Faster than Nyquist Signaling: Algorithms to Silicon. Dordrecht, The Netherlands: Springer, 2014.
DasalukunteD. ÖwallV. RusekF. AndersonJ. B. Faster than Nyquist Signaling: Algorithms to Silicon Dordrecht, The Netherlands Springer 2014
[29] E. Bedeer, M. H. Ahmed, and H. Yanikomeroglu, “A very low complexity successive symbol-by-symbol sequence estimator for faster-than-Nyquist signaling,” IEEE Access, vol. 5, pp. 7414–7422, 2017.
BedeerE. AhmedM. H. YanikomerogluH. “A very low complexity successive symbol-by-symbol sequence estimator for faster-than-Nyquist signaling,” IEEE Access 5 7414 7422 2017
[30] A. D. Liveris and C. N. Georghiades, “Exploiting faster-than-Nyquist signaling,” IEEE Trans. Commun., vol. 51, no. 9, pp. 1502–1511, Sep. 2003.
LiverisA. D. GeorghiadesC. N. “Exploiting faster-than-Nyquist signaling,” IEEE Trans. Commun. 51 9 1502 1511 Sep. 2003
[31] Y. J. D. Kim and J. Bajcsy, “Iterative receiver for faster-than-Nyquist broadcasting,” Electron. Lett., vol. 48, no. 24, pp. 1561–1562, Nov. 2012.
KimY. J. D. BajcsyJ. “Iterative receiver for faster-than-Nyquist broadcasting,” Electron. Lett. 48 24 1561 1562 Nov. 2012
[32] Y. J. D. Kim, J. Bajcsy, and D. Vargas, “Faster-than-Nyquist broadcasting in Gaussian channels: Achievable rate regions and coding,” IEEE Trans. Commun., vol. 64, no. 3, pp. 1016–1030, Mar. 2016.
KimY. J. D. BajcsyJ. VargasD. “Faster-than-Nyquist broadcasting in Gaussian channels: Achievable rate regions and coding,” IEEE Trans. Commun. 64 3 1016 1030 Mar. 2016
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