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Periodic cooperative spectrum sensing optimization for multichannel cognitive radio network

  • Xin Liu*
  • , Min Jia
  • *Corresponding author for this work
  • Dalian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to improve spectrum sensing performance of multichannel cognitive radio (CR) network, the optimization of periodic cooperative spectrum sensing is investigated. We seek to obtain spectrum efficiency maximization (SEM) and energy efficiency maximization (EEM) of cooperative spectrum sensing through jointly optimizing sensing time, subchannel allocation and transmission power. We have formulated a class of optimization problems and obtained the optimal solutions by alternating direction optimization and Dinkelbach’s optimization. The simulation results have indicated that SEM can achieve higher spectrum efficiency while EEM may get higher energy efficiency.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
EditorsQilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang
PublisherSpringer Verlag
Pages525-532
Number of pages8
ISBN (Print)9789811065705
DOIs
StatePublished - 2019
Event6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China
Duration: 14 Jul 201716 Jul 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume463
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Country/TerritoryChina
CityHarbin
Period14/07/1716/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Cognitive radio
  • Cooperative spectrum sensing
  • Energy efficiency
  • Spectrum efficiency

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