Effective and fair cognitive terminal assignment scheme for cooperative spectrum sensing

WU Zhiqiang; LIU Qianli; LIU Jiabin; FENG Qing; XIAO Shanpeng; LIU Shang

doi:10.11959/j.issn.1000-0801.2024160

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Effective and fair cognitive terminal assignment scheme for cooperative spectrum sensing

Research and Development | 更新时间：2024-08-05

- Effective and fair cognitive terminal assignment scheme for cooperative spectrum sensing
- Telecommunications Science Vol. 40, Issue 6, Pages: 100-113(2024)
- 作者机构：
  
  1.北京大学武汉人工智能研究院，湖北武汉 430075
  2.西藏大学珠峰研究院，西藏拉萨 850000
  3.中国人民解放军军事科学院系统工程研究院，北京 100082
  4.北京理工大学信息与电子学院，北京 100081
  5.中国移动通信有限公司研究院，北京 100053
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2022YFE0136800);The National Natrual Science Foundation of China(U20A20162);Knowledge Innovation of Wuhan Science and Technology Bureau - Dawn Special Program(2023010201020490);Office of Wuhan Cyberspace Affairs Commission(2023005);The Stable Supporting Fund of National Key Laboratory of Underwater Acoustic Technology(JCKYS2023604SSJS009);Tibet Science and Technology Plan High-tech Social Development Field Unveiled and Leading Project(XZ202303ZY0009G)
- DOI：10.11959/j.issn.1000-0801.2024160
  CLC： TN929.5
- Received：11 December 2023，
  
  Revised：2024-03-05，
  
  Published：20 June 2024
- 稿件说明：
移动端阅览
吴志强,刘千里,刘佳斌等.协作频谱感知中的高效和公平认知节点分配方案[J].电信科学,2024,40(06):100-113.

WU Zhiqiang,LIU Qianli,LIU Jiabin,et al.Effective and fair cognitive terminal assignment scheme for cooperative spectrum sensing[J].Telecommunications Science,2024,40(06):100-113.
吴志强,刘千里,刘佳斌等.协作频谱感知中的高效和公平认知节点分配方案[J].电信科学,2024,40(06):100-113. DOI： 10.11959/j.issn.1000-0801.2024160.

WU Zhiqiang,LIU Qianli,LIU Jiabin,et al.Effective and fair cognitive terminal assignment scheme for cooperative spectrum sensing[J].Telecommunications Science,2024,40(06):100-113. DOI： 10.11959/j.issn.1000-0801.2024160.

摘要

协作频谱感知是认知无线电网络的基础和关键阶段，频谱检测过程中的节点分配策略将直接决定联合频谱感知的结果。介绍了多种分配认知终端的方法，旨在提高频谱感知的效率和公平性。针对不同子频带的感知效率，提出了一种称为由频点占用导致的无效传输参数（inefficient transport parameter，ITP）指标来评估通信性能，给出了感知效率优化问题的闭式表达解，设计的场景包括终端对相同频带有不同的感知性能和相同的感知性能。针对不同子频带间的感知公平性，提出了两种分配算法：弓形分配算法和类划分分配算法。子频带间的公平性通过评估子带中最差的感知性能进行衡量。为了适用于实际场景，加入了频段属性参数来增强公平性，该参数考虑了主用户使用不同频段的优先级及抗干扰能力。仿真结果表明，所提出的策略显著改善了认知无线电网络中的ITP，特别是在子频带利用率不同的情况下，提出的弓形分配算法在公平性不明显降低的情况下，复杂度有明显改善。

Abstract

Cooperative spectrum sensing is regarded as the foundation and a key stage of cognitive radio networks. The node allocation strategy during the spectrum detection process was directly determined by the results of joint spectrum sensing. Various methods for allocating cognitive terminals to enhance the efficiency and fairness of spectrum sensing were introduced. Aiming at the perceptual efficiency of different sub-bands

an indicator called the inefficient transmission parameter (ITP) was proposed to evaluate communication performance

and a closed-form expression solution to the perceptual efficiency optimization problem was provided. The designed scenarios included terminal pairs with the same frequencies having different perceptual properties and the same perceptual properties. For the perceived fairness among different sub-bands

two allocation algorithms were proposed: the arcuate allocation algorithm and the class division allocation algorithm. Fairness between sub-bands was measured by evaluating the worst perceived performance in the sub-band. In order to be applicable to actual scenarios

the frequency band property parameter was added to enhance fairness. This parameter was taken into account the priority and anti-interference ability of the main user using different frequency bands. Simulation results show that the proposed strategy significantly improves ITP in cognitive radio networks

especially when sub-band utilization is different

and the proposed arcuate allocation algorithm significantly improves the perceived fairness of the system.

关键词

Keywords

references

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