Joint power and rate adaptation in a cognitive radio network: The rate-distance approach

David Shiung*, Chun Shen Tsai, Jeng Ji Huang

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In this paper, we study the joint power and rate adaptation in a cognitive radio network (CRN) using the rate-distance nature as the central criterion. The rate-distance nature describes the relationship between transmission rate and signal strength and can further enhance the spectrum efficiency. A general channel model considering composite effects such as distance-dependent pathloss, large-scale shadowing, and small-scale fading is considered. Through emitting a pseudo-carrier, the cognitive radio (CR) transmit-receive (T-R) pair determines the maximal allowable transmission power and thus transmission rate for maximizing the sum-rate of the CRN with guaranteed bit error rate (BER) and outage probability of signal-to-interference ratio (SIR). The proposed algorithm is suitable for real-time adaptation and a maximal sum-rate of the CRN is achieved.

Original languageEnglish
Title of host publication2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs
Publication statusPublished - 2011
EventIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
Duration: 2011 Sept 52011 Sept 8

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

OtherIEEE 74th Vehicular Technology Conference, VTC Fall 2011
Country/TerritoryUnited States
CitySan Francisco, CA
Period2011/09/052011/09/08

Keywords

  • Cognitive radio
  • power and rate
  • rate-distance

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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