Demand-Oriented Allocation with Fairness in Multi-Operator Dynamic Spectrum Sharing Systems
Mengying Wang, Wei Wang, Wenjing Xu, Jiameng Bi, Qiang John Ye · 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) · 2022
Inter-operator spectrum sharing with guaranteed operator fairness is a challenging issue due to the differentiated service requirements and operator priorities. In this paper, we introduce an incentive mechanism to promote spectrum sharing and propose a fair spectrum allocation algorithm by considering the demand and response from different operators. Specifically, we design a new fairness factor based on operator spectrum demand and utility which can affect the spectrum pricing to change spectrum allocation schemes. The spectrum allocation problem is formulated as a two-stage Stackelberg game and the proposed algorithm solves the problem by finding the Nash equilibrium of each sub-game according to convex optimization theory. Simulation results show that under maximum fairness coefficient, the proposed algorithm can improve operator satisfaction by 30% on average.