计算机科学
继电器
传输(电信)
计算机网络
方案(数学)
物理层
无线
博弈论
讨价还价问题
无线网络
资源配置
资源管理(计算)
纳什均衡
分布式计算
电信
数学优化
数学
功率(物理)
量子力学
物理
数学分析
数理经济学
作者
Xiaozheng Gao,Dusit Niyato,Kai Yang,Jianping An
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:9 (1): 152-164
被引量:18
标识
DOI:10.1109/jiot.2021.3096652
摘要
In wireless-powered device-to-device (D2D) networks with backscatter-aided passive relays, the cooperation among D2D pairs is of special necessity. With the cooperation among D2D pairs, the devices can act as passive relays to enhance the signal reception, and share their active transmission time to improve the resource utilization. Therefore, how the D2D pairs form coalitions and how to reallocate the active transmission time to the D2D pairs after forming coalitions should be studied. In this article, we develop a hierarchical cooperative game framework for the network to investigate how the D2D pairs cooperate with each other. Specifically, in the upper layer of the game, we employ the coalition game to formulate how the D2D pairs form coalitions and analyze the stability of the coalition structure and the complexity of the proposed strategy. In the lower layer of the game, we employ the bargaining game to investigate how the D2D pairs share the active transmission time, and analytically evaluate the complexity of deriving the Nash bargaining solution. Simulation results demonstrate the effectiveness of our proposed scheme. The results also show that the computational complexity of our proposed scheme is only a small fraction of that of the exclusive search-based scheme. Nevertheless, compared with the exclusive search-based scheme, the total effective amount of the transmitted data in the proposed cooperative scheme reduces no more than 2%, which is very minor.
科研通智能强力驱动
Strongly Powered by AbleSci AI