Enhanced cognitive Radio Resource Management for LTE systems

Handle URI:
http://hdl.handle.net/10754/362454
Title:
Enhanced cognitive Radio Resource Management for LTE systems
Authors:
Alqerm, Ismail; Shihada, Basem ( 0000-0003-4434-4334 ) ; Shin, Kang G.
Abstract:
The explosive growth in mobile Internet and related services has increased the need for more bandwidth in cellular networks. The Long-Term Evolution (LTE) technology is an attractive solution for operators and subscribers to meet such need since it provides high data rates and scalable bandwidth. Radio Resource Management (RRM) is essential for LTE to provide better communication quality and meet the application QoS requirements. Cognitive resource management is a promising solution for LTE RRM as it improves network efficiency by exploiting radio environment information, intelligent optimization algorithms to configure transmission parameters, and mitigate interference. In this paper, we propose a cognitive resource management scheme to adapt LTE network parameters to the environment conditions. The scheme optimizes resource blocks assignment, modulation selection and bandwidth selection to maximize throughput and minimize interference. The scheme uses constrained optimization for throughput maximization and interference control. It is also enhanced by learning mechanism to reduce the optimization complexity and improve the decision-making quality. Our evaluation results show that our scheme achieved significant improvements in throughput and LTE system capacity. Results also show the improvement in the user satisfaction over other techniques in LTE RRM.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
IEEE
Journal:
Wireless and Mobile Computing, Networking and Communications (WiMob), 2013 IEEE 9th International Conference on
Conference/Event name:
2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013
Issue Date:
Oct-2013
DOI:
10.1109/WiMOB.2013.6673414
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6673414
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlqerm, Ismailen
dc.contributor.authorShihada, Basemen
dc.contributor.authorShin, Kang G.en
dc.date.accessioned2015-04-09T06:23:33Zen
dc.date.available2015-04-09T06:23:33Zen
dc.date.issued2013-10en
dc.identifier.doi10.1109/WiMOB.2013.6673414en
dc.identifier.urihttp://hdl.handle.net/10754/362454en
dc.description.abstractThe explosive growth in mobile Internet and related services has increased the need for more bandwidth in cellular networks. The Long-Term Evolution (LTE) technology is an attractive solution for operators and subscribers to meet such need since it provides high data rates and scalable bandwidth. Radio Resource Management (RRM) is essential for LTE to provide better communication quality and meet the application QoS requirements. Cognitive resource management is a promising solution for LTE RRM as it improves network efficiency by exploiting radio environment information, intelligent optimization algorithms to configure transmission parameters, and mitigate interference. In this paper, we propose a cognitive resource management scheme to adapt LTE network parameters to the environment conditions. The scheme optimizes resource blocks assignment, modulation selection and bandwidth selection to maximize throughput and minimize interference. The scheme uses constrained optimization for throughput maximization and interference control. It is also enhanced by learning mechanism to reduce the optimization complexity and improve the decision-making quality. Our evaluation results show that our scheme achieved significant improvements in throughput and LTE system capacity. Results also show the improvement in the user satisfaction over other techniques in LTE RRM.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6673414en
dc.rights© Copyright 2015 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.en
dc.titleEnhanced cognitive Radio Resource Management for LTE systemsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalWireless and Mobile Computing, Networking and Communications (WiMob), 2013 IEEE 9th International Conference onen
dc.conference.date7 October 2013 through 9 October 2013en
dc.conference.name2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013en
dc.conference.locationLyonen
dc.eprint.versionPost-printen
dc.contributor.institutionDept. of Electrical Engineering and Computer Science, University of Michigan, USAen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorShihada, Basemen
kaust.authorAlqerm, Ismailen
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