斯塔克伯格竞赛
计算机科学
数学优化
基站
利润(经济学)
功率(物理)
干扰(通信)
发射机功率输出
收入
功率消耗
博弈论
运筹学
计算机网络
微观经济学
经济
工程类
发射机
数学
频道(广播)
物理
会计
量子力学
作者
Erqing Zhang,Sixing Yin,Huisheng Ma
出处
期刊:Sensors
[MDPI AG]
日期:2019-12-20
卷期号:20 (1): 58-58
被引量:11
摘要
Ultra-reliable low-latency communication (URLLC) is one of the three usage scenarios anticipated for 5G, which plays an important role in advanced applications of vehicle-to-everything (V2X) communications. In this paper, the Stackelberg game-based power allocation problem was investigated in V2X communications underlaying cellular networks. Assuming that the macro-cellular base station (MBS) sets the interference prices to protect itself from the V2X users (VUEs), the Stackelberg game was adopted to analyze the interaction between MBS and VUEs, where the former acts as a leader and the latter act as followers. For MBS, we aimed at maximizing its utility from interference revenue while considering the cost of interference. Meanwhile, the VUEs aimed at maximizing their utilities per unit power consumption. We analyzed the Stackelberg model and obtained the optimal prices for MBS and optimal transmit powers for VUEs. Simulation results demonstrated the superiority of the proposed Stackelberg game-based power allocation scheme in comparison with the traditional power allocation strategy. Meanwhile, the proposed scheme achieved a better trade-off between economic profit and power consumption.
科研通智能强力驱动
Strongly Powered by AbleSci AI