认知无线网络中一种基于投影梯度的多用户功率控制方法

陶运铮; 吴春燕; 黄育侦; 张平

doi:10.1631/FITEE.1700067

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认知无线网络中一种基于投影梯度的多用户功率控制方法

5G无线通信系统与技术专题 | Updated：2022-05-19

- 认知无线网络中一种基于投影梯度的多用户功率控制方法
- A projected gradient based game theoretic approach for multi-user power control in cognitive radio network
- 信息与电子工程前沿（英文） 2018年19卷第3期页码：367-378
- Affiliations：
  
  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
- Author bio：
  
  Yun-zheng TAO, E-mail: yunzhengtao@bupt.edu.cn
  [ "Chun-yan WU, E-mail: chunyanwuarkiro@163.com" ]
  [ "Yu-zhen HUANG, E-mail: yzh_huang@sina.com" ]
  [ "Ping ZHANG, E-mail: pzhang@bupt.edu.cn" ]
- Funds：
  
  Project supported by the National Natural Science Foundation of China (Nos. 61227801 and 61629101), Huawei Communications Technology Lab, China, and the Open Research Foundation of Xi'an Jiaotong University, China (No. sklms2015015)
- DOI：10.1631/FITEE.1700067
  中图分类号： TN92
- 收稿：2017-01-23，
  
  修回：2018-;3-;8，
  
  纸质出版：2018-03
- Accepted：
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陶运铮, 吴春燕, 黄育侦, 等. 认知无线网络中一种基于投影梯度的多用户功率控制方法[J]. 信息与电子工程前沿（英文）, 2018,19(3):367-378.

Yun-zheng TAO, Chun-yan WU, Yu-zhen HUANG, et al. A projected gradient based game theoretic approach for multi-user power control in cognitive radio network[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(3): 367-378.
陶运铮, 吴春燕, 黄育侦, 等. 认知无线网络中一种基于投影梯度的多用户功率控制方法[J]. 信息与电子工程前沿（英文）, 2018,19(3):367-378. DOI： 10.1631/FITEE.1700067.

Yun-zheng TAO, Chun-yan WU, Yu-zhen HUANG, et al. A projected gradient based game theoretic approach for multi-user power control in cognitive radio network[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(3): 367-378. DOI： 10.1631/FITEE.1700067.

摘要

5G网络被认为能够支持未来爆炸性增长的数据需求，这主要得益于不断增长的高速移动用户数量以及人与物之间的交互预期。认知无线电（cognitive radio

CR）是提高频谱利用率的有效技术之一，可适应日益增长的数据流量和稀缺的频谱资源。本文研究了基于衬垫式频谱共享的认知无线网络中的次用户功率控制问题。与现有文献大多通过假设单一主用户或者单一信道来简化问题不同，本文研究了多主用户多次用户多信道这一更符合实际的场景。我们将功率控制问题描述为一个具有耦合约束的非合作博弈，其帕累托最优性和最大次网络吞吐量可通过纳什均衡解得。为得到该纳什均衡解，首先提出一种基于投影梯度的动态模型，证明该模型的平衡点等价于原博弈的纳什均衡，并提出一种集中式算法求解该平衡点。仿真结果验证了所提出算法的收敛性、有效性和优势，并且在网络规模增大的情况下验证了算法的鲁棒性。

Abstract

The fifth generation (5G) networks have been envisioned to support the explosive growth of data demand caused by the increasing traditional high-rate mobile users and the expected rise of interconnections between human and things. To accommodate the ever-growing data traffic with scarce spectrum resources

cognitive radio (CR) is considered a promising technology to improve spectrum utilization. We study the power control problem for secondary users in an underlay CR network. Unlike most existing studies which simplify the problem by considering only a single primary user or channel

we investigate a more realistic scenario where multiple primary users share multiple channels with secondary users. We formulate the power control problem as a non-cooperative game with coupled constraints

where the Pareto optimality and achievable total throughput can be obtained by a Nash equilibrium (NE) solution. To achieve NE of the game

we first propose a projected gradient based dynamic model whose equilibrium points are equivalent to the NE of the original game

and then derive a centralized algorithm to solve the problem. Simulation results show that the convergence and effectiveness of our proposed solution

emphasizing the proposed algorithm

are competitive. Moreover

we demonstrate the robustness of our proposed solution as the network size increases.

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