Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks

<p/> <p>Cognitive radio and femtocells are recent technology breakthroughs that aim to achieve throughput improvement by means of spectrum management and interference mitigation, respectively. However, these technologies are limited by the former's susceptibility to interference and...

Full description

Bibliographic Details
Main Authors: Enkhbat Rentsen, Hwang Won-Joo, Torregoza JohnPaulM
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/285714
id doaj-c560d561b9fc44128fe3821e1dfb0930
record_format Article
spelling doaj-c560d561b9fc44128fe3821e1dfb09302020-11-24T22:02:58ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101285714Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell NetworksEnkhbat RentsenHwang Won-JooTorregoza JohnPaulM<p/> <p>Cognitive radio and femtocells are recent technology breakthroughs that aim to achieve throughput improvement by means of spectrum management and interference mitigation, respectively. However, these technologies are limited by the former's susceptibility to interference and the latter's dependence on bandwidth availability. In this paper, we overcome these limitations by integrating cognitive radio and femtocell technology and exploring its feasibility and throughput improvement. To realize this, we propose an integrated architecture and formulate a multiobjective optimization problem with mixed integer variables for the joint power control, base station assignment, and channel assignment scheme. In order to find a pareto optimal solution, a weighted sum approach was used. Based on numerical results, the optimization framework is found to be both stable and converging. Simulation studies further show that the proposed architecture and optimization framework improve the aggregate throughput as the client population rises, hence confirming the successful and beneficial integration of these technologies.</p>http://jwcn.eurasipjournals.com/content/2010/285714
collection DOAJ
language English
format Article
sources DOAJ
author Enkhbat Rentsen
Hwang Won-Joo
Torregoza JohnPaulM
spellingShingle Enkhbat Rentsen
Hwang Won-Joo
Torregoza JohnPaulM
Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
EURASIP Journal on Wireless Communications and Networking
author_facet Enkhbat Rentsen
Hwang Won-Joo
Torregoza JohnPaulM
author_sort Enkhbat Rentsen
title Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
title_short Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
title_full Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
title_fullStr Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
title_full_unstemmed Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
title_sort joint power control, base station assignment, and channel assignment in cognitive femtocell networks
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description <p/> <p>Cognitive radio and femtocells are recent technology breakthroughs that aim to achieve throughput improvement by means of spectrum management and interference mitigation, respectively. However, these technologies are limited by the former's susceptibility to interference and the latter's dependence on bandwidth availability. In this paper, we overcome these limitations by integrating cognitive radio and femtocell technology and exploring its feasibility and throughput improvement. To realize this, we propose an integrated architecture and formulate a multiobjective optimization problem with mixed integer variables for the joint power control, base station assignment, and channel assignment scheme. In order to find a pareto optimal solution, a weighted sum approach was used. Based on numerical results, the optimization framework is found to be both stable and converging. Simulation studies further show that the proposed architecture and optimization framework improve the aggregate throughput as the client population rises, hence confirming the successful and beneficial integration of these technologies.</p>
url http://jwcn.eurasipjournals.com/content/2010/285714
work_keys_str_mv AT enkhbatrentsen jointpowercontrolbasestationassignmentandchannelassignmentincognitivefemtocellnetworks
AT hwangwonjoo jointpowercontrolbasestationassignmentandchannelassignmentincognitivefemtocellnetworks
AT torregozajohnpaulm jointpowercontrolbasestationassignmentandchannelassignmentincognitivefemtocellnetworks
_version_ 1725833692047212544