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首页 > 过刊浏览>2021年第44卷第9期 >117-131. DOI:10.11835/j.issn.1000-582X.2021.09.012
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基于超模博弈的认知无线Ad hoc网络分布式功率控制技术
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中图分类号:

TP393

基金项目:

中国工程物理研究院基础研究基金（CX20200010）；国家自然科学基金资助项目（61771410，61871084，61601084）。


Distributed power control technique of cognitive radio Ad hoc network based on supermodel game
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    摘要:

    考虑一种交织（Interweave）模式下的单跳认知无线Ad hoc网络（CRAHN）应用场景，针对次用户（SU）组成的Ad hoc网络提出一种分布式功率控制技术，以最大化提高次网络容量。SU网络通过频谱感知来探测主用户（PU）所在授权频段的使用情况。一旦授权频段空闲，次网络中的SU将利用授权频谱进行并发通信，目标是通过优化各SU的发射功率，以达到次网络频谱效率最大化。首先根据应用场景给出了网络容量优化近似模型，为了解决该非凸问题，将网络容量优化模型建立为等效博弈模型，并在不同的SINR条件下证明了Nash均衡的存在性和唯一性，最终提出基于Gradient Play的分布式功率控制算法来实现资源最优分配。仿真结果表明，该算法可在保证收敛性的同时、支持一定的并发通信用户数、提高该网络系统的频谱效率。

    Abstract:

    In this paper, a distributed power control technique is proposed for Ad hoc network composed of secondary users (SU) within a single-hop cognitive radio Ad hoc network (CRAHN) application scenario in Interweave mode to maximize the capacity of the secondary network. Once authorized spectrum becomes idle, SUs in the secondary network will use authorized spectrum for concurrent communication, which aims at optimizing the transmission power of each SU so as to optimize the network spectrum efficiency. We first introduce the optimization approximation model of network capacity according to the given application scenario. In order to solve the non-convex problem, we establish the equivalent game model based on the network capacity optimization problem. Then we prove the existence and uniqueness of Nash equilibrium under the condition of different SINR. Finally, we propose a distributed power control algorithm based on Gradient Play method to realize optimal resource allocation. Simulation results show that the proposed algorithm can support a certain number of concurrent communication users and improve the spectral efficiency of the network system to a certain degree.

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李湘鲁,侯冬,田杰.基于超模博弈的认知无线Ad hoc网络分布式功率控制技术[J].重庆大学学报,2021,44(9):117-131.

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  • 收稿日期:2020-01-12
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