Satellite-Terrestrial Integrated Fog Networks: Architecture, Technologies, and Challenges
arXiv:2503.17912 · doi:10.1109/MWC.011.2400262
Abstract
In the evolution of sixth-generation (6G) mobile communication networks, satellite-terrestrial integrated networks emerge as a promising paradigm, characterized by their wide coverage and reliable transmission capabilities. By integrating with cloud-based terrestrial mobile communication networks, the limitations of low Earth orbit (LEO) satellites, such as insufficient onboard computing capabilities and limited inter-satellite link capacity, can be addressed. In addition, to efficiently respond to the diverse integrated tasks of communication, remote sensing, and navigation, LEO constellations need to be capable of autonomous networking. To this end, this article presents a satellite-terrestrial integrated fog network for 6G. Its system architecture and key technologies are introduced to achieve flexible collaboration between fog satellites and terrestrial cloud computing centers. In particular, key techniques with diverse challenges and their corresponding solutions are discussed, including integrated waveform design and resource management based on fog satellite onboard processing, as well as mobility management and native artificial intelligence based on cloud-fog collaboration. Finally, future challenges and open issues are outlined.
Accepted by IEEE Wireless Communications
References in corpus (6)
- Fog Computing based Radio Access Networks: Issues and Challenges
- Joint Network Function Placement and Routing Optimization in Dynamic Software-defined Satellite-Terrestrial Integrated Networks
- Joint Beam Direction Control and Radio Resource Allocation in Dynamic Multi-beam LEO Satellite Networks
- Distributed Satellite-Terrestrial Cooperative Routing Strategy Based on Minimum Hop-Count Analysis in Mega LEO Satellite Constellation
- Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
- Timing Advance Estimation in Low Earth Orbit Satellite Networks