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应用科学学报 >

2011 , Vol. 29 >Issue 4: 353 - 359

DOI: https://doi.org/10.3969/j.issn.0255-8297.2011.04.004

通信工程

基于定价的认知无线网络按需多信道接入策略

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  • 1. 解放军理工大学通信工程学院，南京210007
    2. 总参第六十三研究所，南京210007
王凡，博士生，研究方向：认知无线电、频谱管理，E-mail: wangfan19841116@gmail.com；姚富强，研究员，博导，研究方向：军事通信抗干扰、电磁频谱管理，E-mail: fuqy2009@126.com

收稿日期: 2010-10-13

  修回日期: 2011-03-12

  网络出版日期: 2011-07-30

基金资助

国家自然科学基金（No.61072077）；江苏省自然科学基金（No.BK2009060）资助

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On-Demand Multiple Channels Access Strategy in Cognitive Radio Networks Based on Pricing

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  • 1. Institute of Communication Engineering, PLA University of Science and Technology, Nanjing 210007, China
    2. The 63rd Research Institute of the General Staff, Nanjing 210007, China

Received date: 2010-10-13

  Revised date: 2011-03-12

  Online published: 2011-07-30

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摘要

在认知无线电多信道接入场景中，建立满足认知用户服务质量(QoS)需求的非合作博弈模型，定义CRN有效容量的概念，提出基于定价的按需多信道接入策略，推导价格函数的数学表达式，并给出按需迭代注水算法以实现该策略中的信道和功率分配. 仿真结果表明：按需多信道接入策略和按需迭代注水算法较不考虑QoS的一般接入策略在CRN有效容量和CR用户的QoS保证率上都有较大的性能改进. 在给定场景中，按需迭代注水算法能使CR用户的QoS保证率提高10%?20%；在稳定状态下，CRN的有效容量提高38%左右.

关键词： 认知无线电; 多信道接入; 信道分配; 功率分配; 博弈论; 注水算法

本文引用格式

王凡1;2， 赵杭生2， 姚富强2， 冯少栋1， 张建照1;2 . 基于定价的认知无线网络按需多信道接入策略[J]. 应用科学学报, 2011 , 29(4) : 353 -359 . DOI: 10.3969/j.issn.0255-8297.2011.04.004

Abstract

Abstract: In the scenario of multi-channel access cognitive radio networks, considering the QoS guarantee, a
model is established based on non-cooperative game theory, and a new metric called useful CRN throughput is
defined. Based on the proposed model, an on-demand pricing based multi-channel access strategy is proposed.
A closed-form formulation of the price function is formulated. In addition, an on-demand pricing based iterative
water filling algorithm (ODPA) is introduced to implement channel and power allocation in the multi-channel
access strategy. Simulation results show that the proposed ODPA can achieve better performance in both
metrics of useful CRN throughput and QoS guarantee rate. Simulation shows that the QoS guarantee rate
is improved by 10%?20% with ODPA as compared to other pricing based water-filling algorithm without
considering the QoS requirement. The CRN throughput is improved by about 38%.

Key words： cognitive radio, multi-channel access, channel allocation, power allocation, game theory, water
filling

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