作者: Lianxin Yang , Dan Wu , Yu Zhang , Chao Yue , Yan Wu
DOI: 10.1109/LCOMM.2019.2952846
关键词:
摘要: In this letter, we study the link selection problem for interference mitigation under dynamic channel conditions in D2D multicast content sharing networks. We firstly transform into a stochastic game, which utility of each player (i.e., cluster head) is designed as maximum expected weighted suffered by receivers cluster. Then, propose simple and uncoupled algorithm based on learning to obtain Nash Equilibrium points. Importantly, proposed only requires little intra-cluster information feedback. Theoretical analyses numerical results validate effectiveness our conditions.