[1]穆晓敏,徐茹茹,张松伟,等.干扰约束下基于用户需求的多信道频谱接入机制[J].郑州大学学报(工学版),2019,40(03):26-30.[doi:10.13705/j.issn.1671-6833.2017.06.023]
　Mu Xiaomin,Xu Ruru,Zhang Songwei,et al.Demand-Aware Multichannel Opportunistic Spectrum Access Mechanism under Interference Constraint[J].Journal of Zhengzhou University (Engineering Science),2019,40(03):26-30.[doi:10.13705/j.issn.1671-6833.2017.06.023]
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干扰约束下基于用户需求的多信道频谱接入机制()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
40
期数:
2019年03期
页码:
26-30
栏目:
出版日期:
2019-04-30

文章信息/Info

Title:
Demand-Aware Multichannel Opportunistic Spectrum Access Mechanism under Interference Constraint
作者:
穆晓敏; 徐茹茹; 张松伟; 韩刚涛
郑州大学信息工程学院
Author(s):
Mu Xiaomin; Xu Ruru; Zhang Songwei; Han Gangtao
School of Information Engineering, Zhengzhou University
关键词:
认知无线电; 机会频谱接入; 用户需求; 干扰; 势能博弈; 纳什均衡
Keywords:
Cognitive Radio; Opportunistic spectrum access; User needs; interference; potential energy game; Nash Equilibrium
DOI:
10.13705/j.issn.1671-6833.2017.06.023
文献标志码:
A
摘要:
本文研究了分布式认知网络中多信道机会频谱接入问题，定义用户满意度函数测度用户满意度效果，并基于博弈论构建了信道选择中的优化问题。在定义用户收益函数时，引入干扰约束，目的是在兼顾满意度的同时最小化用户间干扰，以提高网络性能。文中证明了该博弈问题是至少具有一个纯策略纳什均衡的精确势能博弈，且纳什均衡点是上述优化问题的最优解；数值仿真结果表明兼顾满意度和干扰约束，可以使得整个网络的总干扰显著降低，同时提高了公平性，提升了系统的总体性能。
Abstract:
In the article, the problem that demand-aware multichannel opportunistic spectrum access in cognitive radio networks is researched and users’ satisfaction function is defined to measure users’ satisfaction effect, and an optimization problem in channel selection based on game theory is constructed. Interference constraint was drawn in the definition of users’ income function, aiming at giving consideration to both sides between minimizing users’interference and maximizing users’ satisfaction, and improve network per-formance at the same time. In this paper, It is verified that the game is an accurate potential game with at least one pure strategy Nash equilibrium and the Nash equilibrium is the optimal solution of the above optimization problem, and finally the simulation results are given to verify theoretical analysis is correct. It is shown that taking the satisfaction and the interference into account simultaneously can reduce the total interference of the whole network remarkably, get higher user satisfaction and the best fairness as well, and can improve the overall performance of the system.

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更新日期/Last Update: 2019-04-16