A projected gradient based game theoretic approach for multi-user power control in cognitive radio network

Yun-zheng TAO; Chun-yan WU; Yu-zhen HUANG; Ping ZHANG

doi:10.1631/FITEE.1700067

Your Location：

Home >

Browse articles >

A projected gradient based game theoretic approach for multi-user power control in cognitive radio network

Special Feature on 5G Wireless Communication Systems and Technologies | Updated：2022-05-19

- A projected gradient based game theoretic approach for multi-user power control in cognitive radio network
- 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
- Frontiers of Information Technology & Electronic Engineering Vol. 19, Issue 3, Pages: 367-378(2018)
- 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：
- DOI：10.1631/FITEE.1700067
  CLC： TN92
- Received：23 January 2017，
  
  Revised：2018-;3-;8，
  
  Published：2018-03
- Accepted：
Scan QR Code
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：

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.

关键词

Keywords

references

K Arrow , , , L Hurwicz , , , H Uzawa . . Constraint qualifications in maximization problems . . Nav Res Log Q , , 1961 . . 8 ( ( 2 ): ): 175 - - 191 . . DOI: 10.1002/nav.3800080206 http://doi.org/10.1002/nav.3800080206 . .

E Bedeer , , , O Dobre , , , M Ahmed , , , 等 . . A multiobjective optimization approach for optimal link adaptation of OFDM-based cognitive radio systems with imperfect spectrum sensing . . IEEE Trans Wirel Commun , , 2014 . . 13 ( ( 4 ): ): 2339 - - 2351 . . DOI: 10.1109/TWC.2014.022114.131948 http://doi.org/10.1109/TWC.2014.022114.131948 . .

A Goldsmith . . Wireless Communications , , : : Cambridge, UK Cambridge University Press , , 2005 . . .

Z Han , , , D Niyato , , , T Basar , , , 等 . . Game Theory in Wireless and Communication Networks , , : : Cambridge, UK Cambridge University Press , , 2012 . . .

P Kolodzy . . Interference temperature: a metric for dynamic spectrum utilization . . Int J Netw Manag , , 2006 . . 16 ( ( 2 ): ): 103 - - 113 . . DOI: 10.1002/nem.608 http://doi.org/10.1002/nem.608 . .

LB Le , , , E Hossain . . Resource allocation for spectrum underlay in cognitive radio networks . . IEEE Trans Wirel Commun , , 2008 . . 7 ( ( 12 ): ): 5306 - - 5315 . . DOI: 10.1109/T-WC.2008.070890 http://doi.org/10.1109/T-WC.2008.070890 . .

Y Lin , , , K Liu , , , H Hsieh . . Design of power control protocols for spectrum sharing in cognitive radio networks: a game-theoretic perspective . . IEEE Int Conf on Communications , , 2010 . . 1 - - 6 . . DOI: 10.1109/ICC.2010.5502441 http://doi.org/10.1109/ICC.2010.5502441 . .

B Mercier , , , V Fodor , , , R Thobaben , , , 等 . . Sensor networks for cognitive radio: theory and system design . . Proc ICT Mobile and Wireless Communications Summit , , 2008 . . 10 - - 17 . . DOI: 10.1109/ICECTECH.2011.5941743 http://doi.org/10.1109/ICECTECH.2011.5941743 . .

J Neel , , , J Reed , , , R Gilles . . Convergence of cognitive radio networks . . IEEE Wirel Communication and Networking Conf , , 2004 . . 2250 - - 2255 . . DOI: 10.1109/WCNC.2004.1311438 http://doi.org/10.1109/WCNC.2004.1311438 . .

J Rosen . . The gradient projection method for nonlinear programming . . Part Ⅰ Linear constraints. J Soc Ind Appl Math , , 1960 . . 8 ( ( 1 ): ): 181 - - 217 . . DOI: 10.1137/0108011 http://doi.org/10.1137/0108011 . .

J Rosen . . Existence and uniqueness of equilibrium points for concave n -person games . . Econometrica , , 1965 . . 33 ( ( 3 ): ): 520 - - 534 . . DOI: 10.2307/1911749 http://doi.org/10.2307/1911749 . .

Z Wang , , , L Jiang , , , C He . . A novel price-based power control algorithm in cognitive radio networks . . IEEE Commun Lett , , 2013 . . 17 ( ( 1 ): ): 43 - - 46 . . DOI: 10.1109/LCOMM.2012.120612.121587 http://doi.org/10.1109/LCOMM.2012.120612.121587 . .

B Wild , , , K Ramchandran . . Detecting primary receivers for cognitive radio applications . . 1st IEEE Int Symp on New Frontiers in Dynamic Spectrum Access Networks , , 2005 . . 124 - - 130 . . DOI: 10.1109/DYSPAN.2005.1542626 http://doi.org/10.1109/DYSPAN.2005.1542626 . .

Y Wu , , , D Tsang . . Distributed multichannel power allocation algorithm for spectrum sharing cognitive radio networks . . IEEE Wireless Communications and Networking Conf , , 2008 . . 1436 - - 1441 . . DOI: 10.1109/WCNC.2008.258 http://doi.org/10.1109/WCNC.2008.258 . .

G Yang , , , B Li , , , X Tan , , , 等 . . Adaptive power control algorithm in cognitive radio based on game theory . . IET Commun , , 2015 . . 9 ( ( 15 ): ): 1807 - - 1811 . . DOI: 10.1049/iet-com.2014.1109 http://doi.org/10.1049/iet-com.2014.1109 . .

P Zhou , , , Y Chang , , , J Copeland . . Reinforcement learning for repeated power control game in cognitive radio networks . . IEEE J Sel Areas Commun , , 2012 . . 30 ( ( 1 ): ): 54 - - 69 . . DOI: 10.1109/JSAC.2012.120106 http://doi.org/10.1109/JSAC.2012.120106 . .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰