Optimizing achievable throughput for cognitive radio network using swarm intelligence
Cognitive radio (CR) technology allows a secondary or cognitive user (CU) to opportunistically access frequency band of a primary user (PU) when it is not in use. However, a CU needs to perform spectrum sensing periodically to avoid causing harmful interference and thereby protecting the quality of...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
2011
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/46099/ http://apps.webofknowledge.com.ezproxy.utm.my/UseSpellSuggestion.do?action=takeSuggestion&product=WOS&SID=Q1X85YxXCtZZKDY62ie&search_mode=GeneralSearch&update_back2search_link_param=yes&viewType=summary&qid=17 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.46099 |
---|---|
record_format |
eprints |
spelling |
my.utm.460992017-08-29T00:36:19Z http://eprints.utm.my/id/eprint/46099/ Optimizing achievable throughput for cognitive radio network using swarm intelligence A. Rashid, Rozeha Sarijari, M. Adib Fisal, N. Ariffin, S. H. S. Yusof, S. K. S. S. Baguda, Yakubu TK Electrical engineering. Electronics Nuclear engineering Cognitive radio (CR) technology allows a secondary or cognitive user (CU) to opportunistically access frequency band of a primary user (PU) when it is not in use. However, a CU needs to perform spectrum sensing periodically to avoid causing harmful interference and thereby protecting the quality of service of PUs. A conventional frame structure for CR operation consists of sensing time slot and data transmission time slot which run consecutively. Basically, a longer sensing time produces a higher probability of detection and therefore, better PU protection. However, longer sensing time will reduce the amount of time for data transmission and hence affects the achievable throughput of a CU. In this paper, we study the fundamental tradeoff between sensing time and achievable throughput of the CUs. Based on energy detection scheme, we propose and investigate the feasibility of using Particle Swarm Optimization (PSO) in the design of sensing slot duration to maximize the achievable throughput for CUs for a given frame duration. The results show an encouraging 8.89% increase in throughput with respect to the probability of false alarm, a reduced sensing time by 80% while achieving 97.8% of normalized throughput for CU system with PSO. 2011 Conference or Workshop Item PeerReviewed A. Rashid, Rozeha and Sarijari, M. Adib and Fisal, N. and Ariffin, S. H. S. and Yusof, S. K. S. and S. Baguda, Yakubu (2011) Optimizing achievable throughput for cognitive radio network using swarm intelligence. In: The 17th Asia-Pacific Conference On Communications (Apcc 2011). http://apps.webofknowledge.com.ezproxy.utm.my/UseSpellSuggestion.do?action=takeSuggestion&product=WOS&SID=Q1X85YxXCtZZKDY62ie&search_mode=GeneralSearch&update_back2search_link_param=yes&viewType=summary&qid=17 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering A. Rashid, Rozeha Sarijari, M. Adib Fisal, N. Ariffin, S. H. S. Yusof, S. K. S. S. Baguda, Yakubu Optimizing achievable throughput for cognitive radio network using swarm intelligence |
description |
Cognitive radio (CR) technology allows a secondary or cognitive user (CU) to opportunistically access frequency band of a primary user (PU) when it is not in use. However, a CU needs to perform spectrum sensing periodically to avoid causing harmful interference and thereby protecting the quality of service of PUs. A conventional frame structure for CR operation consists of sensing time slot and data transmission time slot which run consecutively. Basically, a longer sensing time produces a higher probability of detection and therefore, better PU protection. However, longer sensing time will reduce the amount of time for data transmission and hence affects the achievable throughput of a CU. In this paper, we study the fundamental tradeoff between sensing time and achievable throughput of the CUs. Based on energy detection scheme, we propose and investigate the feasibility of using Particle Swarm Optimization (PSO) in the design of sensing slot duration to maximize the achievable throughput for CUs for a given frame duration. The results show an encouraging 8.89% increase in throughput with respect to the probability of false alarm, a reduced sensing time by 80% while achieving 97.8% of normalized throughput for CU system with PSO. |
format |
Conference or Workshop Item |
author |
A. Rashid, Rozeha Sarijari, M. Adib Fisal, N. Ariffin, S. H. S. Yusof, S. K. S. S. Baguda, Yakubu |
author_facet |
A. Rashid, Rozeha Sarijari, M. Adib Fisal, N. Ariffin, S. H. S. Yusof, S. K. S. S. Baguda, Yakubu |
author_sort |
A. Rashid, Rozeha |
title |
Optimizing achievable throughput for cognitive radio network using swarm intelligence |
title_short |
Optimizing achievable throughput for cognitive radio network using swarm intelligence |
title_full |
Optimizing achievable throughput for cognitive radio network using swarm intelligence |
title_fullStr |
Optimizing achievable throughput for cognitive radio network using swarm intelligence |
title_full_unstemmed |
Optimizing achievable throughput for cognitive radio network using swarm intelligence |
title_sort |
optimizing achievable throughput for cognitive radio network using swarm intelligence |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/46099/ http://apps.webofknowledge.com.ezproxy.utm.my/UseSpellSuggestion.do?action=takeSuggestion&product=WOS&SID=Q1X85YxXCtZZKDY62ie&search_mode=GeneralSearch&update_back2search_link_param=yes&viewType=summary&qid=17 |
_version_ |
1643651935900794880 |
score |
13.160551 |