A non-cooperative game-based distributed beam scheduling framework for 5G millimeter-wave cellular networks

作     者：Zhang, Xiang Sarkar, Shamik Bhuyan, Arupjyoti Kasera, Sneha Kumar Ji, Mingyue 

作者机构：The Department of Electrical and Computer Engineering University of Utah Salt Lake CityUT84112 United States The School of Computing University of Utah Salt Lake CityUT84112 United States The INL Wireless Security Institute Idaho National Laboratory Idaho FallsID83415 United States 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2020年

核心收录：

主　　题：Game theory 

摘      要：This paper studies the problem of distributed beam scheduling for 5G millimeter-Wave (mm-Wave) cellular networks where base stations (BSs) belonging to different operators share the same spectrum without centralized coordination among them. Our goal is to design efficient distributed scheduling algorithms to maximize the network utility, which is a function of the achieved throughput by the user equipment (UEs), subject to the average and instantaneous power consumption constraints of the BSs. We propose a Media Access Control (MAC) and a power allocation/adaptation mechanism utilizing the Lyapunov stochastic optimization framework and non-cooperative games. In particular, we first decompose the original utility maximization problem into two sub-optimization problems for each time frame, which are a convex optimization problem and a non-convex optimization problem, respectively. By formulating the distributed scheduling problem as a non-cooperative game where each BS is a player attempting to optimize its own utility, we provide a distributed solution to the non-convex sub-optimization problem via finding the Nash Equilibrium (NE) of the game whose weights are determined optimally by the Lyapunov optimization framework. Finally, we conduct simulation under various network settings to show the effectiveness of the proposed game-based beam scheduling algorithm in comparison to that of several reference schemes. © 2020, CC BY-NC-ND.