Intelligent Spectrum Assignment Based on Dynamical Cooperation for 5G-Satellite Integrated Networks

The development of 5G-satellite integrated networks suffers from limited spectrum resources. In this paper, we investigate how to assign spectrum intelligently based on dynamical cooperation among primary users (PUs) and cognitive users (CUs) for 5G-satellite integrated networks. Firstly, we propose the cooperative transmission ability model. The effective time for users to communicate with satellites is formally measured. Based on this model, then, we formulate the intelligent spectrum assignment problem. Next, we propose the spectrum assignment mechanism PU4CU to maximize the throughput of CUs, including our random-based and greedy-based algorithms. Finally, we propose the stable matching-based cooperative spectrum assignment algorithm with the aim of maximizing the overall throughput, where CUs not only request spectrum from PUs but also transmit a part of the traffic of PUs. Extensive simulation results demonstrate that our three algorithms significantly improve spectrum utilization ratio and system performance.