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