Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays

Handle URI:
http://hdl.handle.net/10754/564933
Title:
Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays
Authors:
Alsharoa, Ahmad M.; Ghazzai, Hakim ( 0000-0002-8636-4264 ) ; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, the problem of power allocation for a multiple-input multiple-output two-way system is investigated in underlay Cognitive Radio (CR) set-up. In the CR underlay mode, secondary users are allowed to exploit the spectrum allocated to primary users in an opportunistic manner by respecting a tolerated temperature limit. The secondary networks employ an amplify-and-forward two-way relaying technique in order to maximize the sum rate under power budget and interference constraints. In this context, we formulate an optimization problem that is solved in two steps. First, we derive a closed-form expression of the optimal power allocated to terminals. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the power allocated to secondary relays. Simulation results demonstrate the efficiency of the proposed solution and analyze the impact of some system parameters on the achieved performance. © 2014 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical & Electronics Engineers (IEEE)
Journal:
2014 IEEE International Conference on Communications (ICC)
Conference/Event name:
2014 1st IEEE International Conference on Communications, ICC 2014
Issue Date:
Jun-2014
DOI:
10.1109/ICC.2014.6883547
Type:
Conference Paper
ISBN:
9781479920037
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlsharoa, Ahmad M.en
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:25:34Zen
dc.date.available2015-08-04T07:25:34Zen
dc.date.issued2014-06en
dc.identifier.isbn9781479920037en
dc.identifier.doi10.1109/ICC.2014.6883547en
dc.identifier.urihttp://hdl.handle.net/10754/564933en
dc.description.abstractIn this paper, the problem of power allocation for a multiple-input multiple-output two-way system is investigated in underlay Cognitive Radio (CR) set-up. In the CR underlay mode, secondary users are allowed to exploit the spectrum allocated to primary users in an opportunistic manner by respecting a tolerated temperature limit. The secondary networks employ an amplify-and-forward two-way relaying technique in order to maximize the sum rate under power budget and interference constraints. In this context, we formulate an optimization problem that is solved in two steps. First, we derive a closed-form expression of the optimal power allocated to terminals. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the power allocated to secondary relays. Simulation results demonstrate the efficiency of the proposed solution and analyze the impact of some system parameters on the achieved performance. © 2014 IEEE.en
dc.publisherInstitute of Electrical & Electronics Engineers (IEEE)en
dc.subjectMultiple-input multiple-outputen
dc.subjectparticle swarm optimizationen
dc.subjecttwo-way cognitive radioen
dc.titleNear-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relaysen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2014 IEEE International Conference on Communications (ICC)en
dc.conference.date10 June 2014 through 14 June 2014en
dc.conference.name2014 1st IEEE International Conference on Communications, ICC 2014en
dc.conference.locationSydney, NSWen
kaust.authorAlsharoa, Ahmad M.en
kaust.authorGhazzai, Hakimen
kaust.authorAlouini, Mohamed-Slimen
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