Journal of Jilin University(Engineering and Technology Edition) ›› 2020, Vol. 50 ›› Issue (1): 315-323.doi: 10.13229/j.cnki.jdxbgxb20180998

Previous Articles    

Dynamic game algorithm for spectrum sharing based on priority of secondary users

Cui-ran LI(),Yong-sheng YU,Jian-li XIE   

  1. School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2018-09-29 Online:2020-01-01 Published:2020-02-06

RICH HTML

 5   

PDF (PC)

186

Abstract:

A dynamic game algorithm for cognitive spectrum sharing is proposed, to solve the spectrum sharing problem in the spectrum market, in which there exist multiple primary users and secondary users that belong to primary service and secondary service respectively. The Priority strategy is introduced to meet the spectrum requirements of mission-critical users and high real-time service users of secondary service. The spectrum price satisfying allocation attribute of scarce resources is obtained by considering the revenue of primary service and the satisfaction of secondary service. The non-cooperative game is used to model the competition process between secondary users to maximize the utilities of secondary users. The simulation results of static game, dynamic game and dynamic game stability show that the algorithm is reasonable and effective in spectrum sharing.

Key words: communication technology, cognitive radio, spectrum sharing, non-cooperative game, priority

CLC Number: 

  • TN929.5

Fig.1

System model"

Table 1

Saaty scale"

aiji:j重要程度aiji:j重要程度
1同等重要7强烈重要
3稍微重要9极端重要
5明显重要

Fig.2

Iteration flow chart"

Fig.3

Optimal spectrum request bandwidth and Nash equilibrium point"

Fig.4

Total spectrum bandwidth that primary service leases out under different number of primary users"

Fig.5

Revenue of primary service corresponding to different values of parameter τ"

Fig.6

Stable and unstable regions of dynamic game"

Fig.7

Process of dynamic game converging to Nash equilibrium"

Fig.8

Impact of secondary user priority on spectrum request bandwidth"

1 Wang T, Li G, Ding J, et al. 5G spectrum: is china ready?[J]. IEEE Communications Magazine, 2015, 53(7): 58-65.
2 Yang C, Li J, Guizani M, et al. Advanced spectrum sharing in 5G cognitive heterogeneous networks[J]. IEEE Wireless Communications,2016,23(2): 94-101.
3 Zhang L, Xiao M, Wu G, et al. A survey of advanced techniques for spectrum sharing in 5G networks[J]. IEEE Wireless Communications, 2017, 24(5): 44-51.
4 Sohul M M, Yao M, Abdallah A S, et al. Quality of service assurance-based auction for spectrum sharing systems[J]. Analog Integrated Circuits & Signal Processing, 2017, 91(2): 203-216.
5 Gao L, Duan L, Huang J. Two-sided matching based cooperative spectrum sharing[J]. IEEE Transactions on Mobile Computing, 2017, 16(2): 538-551.
6 Niyato D, Hossain E. Competitive spectrum sharing in cognitive radio networks: a dynamic game approach[J]. IEEE Transactions on Wireless Communications, 2008, 7(7): 2651-2660.
7 黄丽亚, 刘臣, 王锁萍. 改进的认知无线电频谱共享博弈模型[J]. 通信学报, 2010, 31(2): 136-140.
Huang Li-ya, Liu Chen, Wang Suo-ping. Improved spectrum sharing model in cognitive radios based on game theory[J]. Journal on Communications, 2010, 31(2): 136-140.
8 韩松, 李鑫滨, 马锴,等. 改进的认知无线电系统中频谱共享博弈算法[J]. 北京理工大学学报, 2017, 37(7):758-764.
Han Song, Li Xin-bin, Ma Kai, et al. Improved game-theoretic algorithm for spectrum sharing in cognitive radio[J]. Transactions of Beijing Institute of Technology, 2017, 37(7): 758-764.
9 谢健骊. 认知的铁路移动通信网络分簇频谱感知与共享研究[D]. 兰州：兰州交通大学电子与信息工程学院, 2014.Xie Jian-li. Research on clustering spectrum sensing and sharing for cognitive railway mobile communication network[D]. Lanzhou:School of Electronics and Information Engineering, Lanzhou Jiaotong University, 2014.
10 Ahmad I, Wan C, Chang K. LTE-Railway user priority-based cooperative resource allocation schemes for coexisting public safety and railway networks[J]. IEEE Access, 2017, 5: 7985-8000.
11 李翠然, 钟章队, 谢健骊. 认知的铁路应急自组织网络研究[J]. 铁道学报, 2013, 35(1): 60-65.
Li Cui-ran, Zhong Zhang-dui, Xie Jian-li. Research on railway emergency Ad Hoc network based on cognitive radio[J]. Journal of the China Railway Society, 2013, 35(1): 60-65.
12 Zhong Z D, Ai B, Zhu G, et al. Dedicated Mobile Communications for High-speed Railway[M]. Berlin: Springer, 2018.
13 Niyato D, Hossain E. Spectrum trading in cognitive radio networks: a market equilibrium based approach[J]. IEEE Wireless Communications, 2008, 15(6): 71-80.
14 Lin P, Jia J, Zhang Q, et al. Dynamic spectrum sharing with multiple primary and secondary users[J]. IEEE Transactions on Vehicular Technology, 2011, 60(4): 1756-1765.
15 Agiza H N, Bischi G I, Kopel M. Multistability in a dynamic Cournot game with three oligopolists[J]. Mathematics and Computers in Simulation, 1999, 51(1/2): 63-90.
[1] Yi LIU,Ling-ling XIAO,Gai-jing WANG,Wu-jun ZHANG. Resource allocation algorithm based joint optimization for D2D communications in cellular networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 306-314.
[2] Wen-jun LI,Qiang HUA,Li-dong TAN,Yue SUN. An improved algorithm for combination of DV-HOP and RSSI [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(5): 1689-1695.
[3] Hong-yan WANG,Yun-fei FANG,Sheng-qi ZHU,Bing-nan PEI. DOA estimation method considering mutual coupling effect in presence of non⁃uniform noise [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(5): 1706-1714.
[4] Yong LIU,Fang⁃shun DENG,Xiao⁃lin LIU,Si⁃jie MIN,Peng WANG. Frequency estimation of minimum shift keying signal based on dual chaotic oscillator [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1357-1362.
[5] Hong⁃zhi WANG,Fang⁃da JIANG,Ming⁃yue ZHOU. Power allocation of cognitive radio system based on genetic particle swarm optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1363-1368.
[6] ZHOU Yan-guo,ZHANG Hai-lin,CHEN Rui-rui,ZHOU Tao. Two-level game approach based resource allocation scheme in cooperative networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1879-1886.
[7] SUN Xiao-ying, HU Ze-zheng, YANG Jin-peng. Assessment method of electromagnetic pulse sensitivity of vehicle engine system based on hierarchical Bayesian networks [J]. 吉林大学学报(工学版), 2018, 48(4): 1254-1264.
[8] DONG Ying, CUI Meng-yao, WU Hao, WANG Yu-hou. Clustering wireless rechargeable sensor networks charging schedule based on energy prediction [J]. 吉林大学学报(工学版), 2018, 48(4): 1265-1273.
[9] DING Ning, CHANG Yu-chun, ZHAO Jian-bo, WANG Chao, YANG Xiao-tian. High-speed CMOS image sensor data acquisition system based on USB 3.0 [J]. 吉林大学学报(工学版), 2018, 48(4): 1298-1304.
[10] MOU Zong-lei, SONG Ping, ZHAI Ya-yu, CHEN Xiao-xiao. High accuracy measurement method for synchronous triggering pulse transmission delay in distributed test system [J]. 吉林大学学报(工学版), 2018, 48(4): 1274-1281.
[11] CHEN Rui-rui, ZHANG Hai-lin. Performance analysis of 3D millimeter wave communications [J]. 吉林大学学报(工学版), 2018, 48(2): 605-609.
[12] GUAN Ji-shi, SHI Yao-wu, QIU Jian-wen, SHAN Ze-biao, SHI Hong-wei. New algorithm to estimate characteristic exponent of α-stable distribution [J]. 吉林大学学报(工学版), 2018, 48(2): 618-624.
[13] ZHANG Chao-yi, LI Jin-hai, YAN Yue-peng. Improved Tong detection algorithm with double thresholds [J]. 吉林大学学报(工学版), 2018, 48(2): 610-617.
[14] SUN Xiao-ying, WANG Zhen, YANG Jin-peng, HU Ze-zheng, CHEN Jian. Electromagnetic susceptibility assessment of electronic throttle based on Bayesian network [J]. 吉林大学学报(工学版), 2018, 48(1): 281-289.
[15] WANG Jin-peng, CAO Fan, HE Xiao-yang, ZOU Nian-yu. Multi carrier system joint receiving method based on MAI and ICI [J]. 吉林大学学报(工学版), 2018, 48(1): 301-305.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd