DocumentCode
3414362
Title
Distributed peer-to-peer multiplexing using ad hoc relay networks
Author
Fazeli-Dehkordy, Siavash ; Gazor, Saeed ; ShahbazPanahi, Shahram
Author_Institution
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
2373
Lastpage
2376
Abstract
We consider an ad hoc network consisting of d source-destination pairs and R relaying nodes. Each source wishes to transmit its data to its corresponding destination through the relay network. Each relay in the network transmits a properly scaled version of its received signal thereby cooperating with other relays to deliver each source´s data to the corresponding destination. Assuming a minimal cooperation among the relaying nodes, we design a distributed beamformer such that the total relay transmit power dissipated by all relays is minimized while, at the same time, the quality of services at all destinations are guaranteed to be above certain pre-defined thresholds. We show that using a semi-definite relaxation approach, the power minimization problem can be turned into a semi-definite programming (SDP) optimization, and therefore, it can be solved efficiently using interior point methods. Our results show that the distributed relay multiplexing is possible and may be beneficial depending on the channel conditions.
Keywords
ad hoc networks; multiplexing; peer-to-peer computing; ad hoc networks; distributed beamformer; distributed multiplexing; interior point methods; peer-to-peer multiplexing; relay networks; relaying nodes; semidefinite programming optimization; semidefinite relaxation; source-destination pairs; Ad hoc networks; Array signal processing; Minimization methods; Mobile antennas; Mobile communication; Optimization methods; Peer to peer computing; Relays; Transmitters; Transmitting antennas; Distributed beamforming; convex feasibility problem; distributed signal processing; relay networks; semidefinite programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518124
Filename
4518124
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