Orbital Computing as the Integrating Node of Multi-Domain Operations

The exponential growth of satellite-borne sensor data has created a structural mismatch between collection capability and the downlink bandwidth available to military communication satellites. This paper examines orbital computing, defined as the processing of sensor data directly aboard satellites or across LEO constellation nodes, as a technical and doctrinal solution to this challenge. The analysis shows that onboard artificial intelligence, region-of-interest extraction, compression, and optimized bandwidth-computing resource allocation can reduce raw-data transmission by up to 100-fold in advanced processing cases, while also lowering dependence on ground-station processing. These effects compress the Observe-Orient phases of Boyd’s OODA-loop by shortening the sensor-to-decision chain and accelerating the delivery of decision-relevant information to command nodes. Beyond bandwidth efficiency, the paper argues that military satellites equipped with onboard artificial intelligence constitute the structurally necessary integrating node of multi-domain operations, because they provide persistent cross-domain visibility over land, air, maritime, cyber/electromagnetic, and space activities. This finding aligns with NATO multi-domain operations doctrine and the United States JADC2 strategy, positioning orbital computing as a key enabler of decision superiority in 21st-century warfare.