Multi-band cognitive radio spectrum sensing for quality-of-service traffic

Seung Jun Kim, Guobing Li, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Cognitive radios (CRs) are capable of sensing the RF spectrum to identify idle bands dynamically, and transmit opportunistically so as not to interfere with cohabiting primary users (PUs) over the same bands. In this work, spectrum sensing algorithms for CRs that support quality-of-service (QoS) traffic are investigated. Multiple bands are sensed in parallel to reduce the sensing delay, while ensuring a fixed minimum rate for CR transmissions with a given outage probability. Interference constraints are also imposed to protect PU transmissions. Both fixed sample size (FSS) as well as sequential sensing algorithms are developed to minimize the sensing delay. In the sequential sensing case, a bank of sequential probability ratio tests (SPRTs) are run in parallel to detect PU presence in all bands concurrently. Notably, the parameters for the detectors can be obtained via convex optimization. Numerical tests demonstrate that sequential sensing yields average sensing delays significantly smaller than those of FSS sensing.

Original languageEnglish (US)
Article number6002417
Pages (from-to)3506-3515
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume10
Issue number10
DOIs
StatePublished - Oct 2011

Bibliographical note

Funding Information:
This work was supported by NSF grants CCF 0830480 and CON 014658, and by a QNRF-NPRP award 09-341-2-128. G. Li was supported by China Scholarship Council (CSC), “863” Program of China under Grant 2009AA011801 and NSFC under grant 60872028, 60832007 and 60902045. Part of this work was presented at the IEEE GLOBECOM Conference held in Miami, FL during December 6–10, 2010.

Keywords

  • Cognitive radio
  • cross-layer design
  • quality-of-service
  • sequential probability ratio test
  • spectrum sensing

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