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

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&#...

Full description

Bibliographic Details
Main Authors: John Paul M. Torregoza, Rentsen Enkhbat, Won-Joo Hwang
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://dx.doi.org/10.1155/2010/285714
id doaj-4aa8322ef41747bbbff53366cfb29833
record_format Article
spelling doaj-4aa8322ef41747bbbff53366cfb298332020-11-25T00:29:20ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-01201010.1155/2010/285714Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell NetworksJohn Paul M. TorregozaRentsen EnkhbatWon-Joo HwangCognitive 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. http://dx.doi.org/10.1155/2010/285714
collection DOAJ
language English
format Article
sources DOAJ
author John Paul M. Torregoza
Rentsen Enkhbat
Won-Joo Hwang
spellingShingle John Paul M. Torregoza
Rentsen Enkhbat
Won-Joo Hwang
Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
EURASIP Journal on Wireless Communications and Networking
author_facet John Paul M. Torregoza
Rentsen Enkhbat
Won-Joo Hwang
author_sort John Paul M. Torregoza
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 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.
url http://dx.doi.org/10.1155/2010/285714
work_keys_str_mv AT johnpaulmtorregoza jointpowercontrolbasestationassignmentandchannelassignmentincognitivefemtocellnetworks
AT rentsenenkhbat jointpowercontrolbasestationassignmentandchannelassignmentincognitivefemtocellnetworks
AT wonjoohwang jointpowercontrolbasestationassignmentandchannelassignmentincognitivefemtocellnetworks
_version_ 1725331936102055936