DocumentCode :
687832
Title :
Joint relay selection and power allocation in cooperative FSO networks
Author :
Hui Zhou ; Donglin Hu ; Shiwen Mao ; Agrawal, Pulin
Author_Institution :
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
fYear :
2013
fDate :
9-13 Dec. 2013
Firstpage :
2418
Lastpage :
2423
Abstract :
Cooperative diversity is considered as an effective means for combating weather turbulence in FSO networks. We investigate the problem of maximizing the FSO network-wide throughput under constraint of a given power budget and a number of FSO transceivers. The problem is formulated as a Mixed Integer Nonlinear Programming (MINLP) problem. We propose both centralized and distributed algorithms using bipartite matching and convex optimization to obtain highly competitive solutions. The proposed algorithms are shown to outperform the non-cooperative scheme and an existing relay selection protocol with considerable gains through simulations.
Keywords :
integer programming; nonlinear programming; optical communication; optical transceivers; FSO transceivers; MINLP problem; bipartite matching; centralized algorithms; convex optimization; cooperative FSO networks; cooperative diversity; distributed algorithms; joint relay selection; mixed integer nonlinear programming problem; power allocation; power budget; relay selection protocol; weather turbulence; Base stations; Distributed algorithms; Meteorology; Relays; Resource management; Throughput; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GLOCOM.2013.6831436
Filename :
6831436
Link To Document :
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