Optimal joint sensing threshold and sub-channel power allocation in multi-channel cognitive radio

Xin Liu, Guoan Bi, Rui Lin, Yong Liang Guan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

An optimal joint sensing threshold and sub-band power allocation is proposed for multi-channel cognitive radio (CR) system by formulating a mixed-variable optimization problem to maximize the total throughput of the CR while constraining the total interference to the PU, the total power of the CR, and the probabilities of false alarm and detection of each sub-channel. Based on the bi-level optimization method, the proposed optimization problem is divided into two single-variable convex optimization sub-problems: the upper level for threshold optimization and the lower level for power optimization. The simulation results show that the proposed joint optimization can achieve desirable improvement on the throughput with different sub-channel gains.

Original languageEnglish
Title of host publicationWired/Wireless Internet Communication - 11th International Conference, WWIC 2013, Proceedings
Pages251-261
Number of pages11
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event11th International Conference on Wired/Wireless Internet Communications, WWIC 2013 - St. Petersburg, Russian Federation
Duration: Jun 5 2013Jun 7 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7889 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Wired/Wireless Internet Communications, WWIC 2013
Country/TerritoryRussian Federation
CitySt. Petersburg
Period6/5/136/7/13

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • cognitive radio
  • energy detection
  • joint optimization

Fingerprint

Dive into the research topics of 'Optimal joint sensing threshold and sub-channel power allocation in multi-channel cognitive radio'. Together they form a unique fingerprint.

Cite this