State transition probability based sensing duration optimization algorithm in cognitive radio

ZHANG Xiao; WANG Jin-long; WU Qi-hui

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State transition probability based sensing duration optimization algorithm in cognitive radio

更新时间：2024-10-14

- State transition probability based sensing duration optimization algorithm in cognitive radio
- Vol. 32, Issue 8, Pages: 72-80(2011)
- 作者机构：
  
  解放军理工大学通信工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN925
- Published：2011
- 稿件说明：
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ZHANG Xiao, WANG Jin-long, WU Qi-hui. State transition probability based sensing duration optimization algorithm in cognitive radio[J]. 2011, 32(8): 72-80.
DOI：

ZHANG Xiao, WANG Jin-long, WU Qi-hui. State transition probability based sensing duration optimization algorithm in cognitive radio[J]. 2011, 32(8): 72-80. DOI：

摘要

为了在感知性能与系统传输效率之间对感知时隙长度进行有效折衷

在对授权信道当前分别为"占用"和"空闲"状态时的感知时隙长度与状态转移概率之间的关系进行分析的基础上

提出了一种基于授权信道状态转移概率预测的感知时隙长度优化算法。该算法能够保证在感知过程中始终用最小的感知时隙长度来满足系统对感知性能的最低要求

以最大化认知系统的能量效率与传输效率。

Abstract

The sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively

based on which

a state transition probability prediction based sensing duration optimization algorithm was proposed.The proposed algorithm can use as little sensing duration in each frame as possible to satisfy the sensing performance constraints so as to maximize the energy and transmitting efficiencies of the cognitive networks.

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Related Institution

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