异构网络中多无线电多信道环境下信道状态预测算法研究

黄川; 郑宝玉

doi:10.3724/SP.J.1146.2008.01516

异构网络中多无线电多信道环境下信道状态预测算法研究

doi: 10.3724/SP.J.1146.2008.01516

黄川,
郑宝玉^①

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出版历程
- 收稿日期: 2008-11-14
- 修回日期: 2009-10-09
- 刊出日期: 2010-01-19

Research on Channel State Prediction Algorithm under Multi-radio Multi-channel Environment in Heterogeneous Networks

Huang Chuan,
Zheng Bao-yu^①

摘要

摘要: 该文针对异构网络环境未知性的特点，基于部分可测马尔科夫(POMDP)模型，结合认知无线电频谱侦测技术，提出了一种新的多无线电多信道环境下信道状态预测算法。该算法通过对信道状态历史信息的分析，推导出信道信念状态(belief state)的初始分布和转移概率，并以此选择出具有最佳回报的信道以供接入，从而达到提高信道利用率的目的。仿真结果表明算法性能要优于传统算法。
- 异构网络; 多无线电多信道; 部分可测马尔科夫模型(POMDP); 频谱侦测
Abstract: Due to heterogeneous network environment with the characteristics of uncertainty for unlicensed users, based on the theory of Partially Observable Markov Decision Process (POMDP) model, a novel multi-radio multi-channel channel state prediction algorithm is proposed using spectrum sensing techniques of cognitive radio. By the analysis of the channel state historical information, the initial distribution of the belief state and transition probability is derivated and the channel with optimal reward is selected for unlicensed user to improve the spectrum utilization. The simulation results demonstrate that the proposed algorithm has better performance than classical algorithms.

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