A novel harmony search based spectrum allocation technique for cognitive radio networks

Javier Del Ser*, Marja Matinmikko, Sergio Gil-Lopez, Miia Mustonen

*Corresponding author for this work

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

13 Citations (Scopus)

Abstract

This paper outlines the application of the heuristic Harmony Search (HS) algorithm for efficient spectrum allocation in cognitive radio networks under a minimum Bit Error Rate (BER) criterion. Our proposed algorithm provides a higher degree of diversity in the search process by virtue of its particular improvisation procedure, as opposed to evolutionary computation techniques used so far for this optimization problem. In our work both centralized and distributed implementations of our approach are proposed and detailed. The first set of simulation results made for one single HS instance running over a fixed network show, on one hand, that our approach achieves nearoptimum spectral channel assignments at a very low computational complexity. On the other hand, satisfactory results obtained for a distributed implementation of our algorithm pave the way for future research aimed at comparing our approach with avantgarde genetically-inspired spectrum allocation techniques.

Original languageEnglish
Title of host publicationProceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Pages233-237
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 - York, United Kingdom
Duration: 19 Sept 201022 Sept 2010

Publication series

NameProceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10

Conference

Conference2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Country/TerritoryUnited Kingdom
CityYork
Period19/09/1022/09/10

Fingerprint

Dive into the research topics of 'A novel harmony search based spectrum allocation technique for cognitive radio networks'. Together they form a unique fingerprint.

Cite this