Title :
A semi-closed-form solution to optimal decentralized beamforming for two-way relay networks
Author :
ShahbazPanahi, Shahram
Author_Institution :
Fac. of Eng. & Appl. Sci., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Abstract :
In this paper, we investigate the design of a distributed beamforming technique for two-way relay networks consisting of two transceivers and multiple relay nodes. We consider the problem of the total transmit power minimization subject to two constraints that maintain the transceivers´ SNRs above given thresholds ¿1 and ¿2. For this problem, we obtain a semi-closed-form solution for the beamforming weight vector. Our solution is based on the observation that beamforming weight vector depends on the sum of SNR thresholds ¿1 + ¿2. As long as this sum does not change, the beamforming weight vector will not change. Hence, a two-way relay vector can be equivalently modeled as a one-way relay network where ¿1 and ¿2 are replaced with 0 and ¿1 + ¿2, respectively. Based on this equivalent one-way relaying scheme, the beamforming weight vector is obtained in a closed form if a certain intermediate parameter is given. This parameter is the transmit power of the source in the equivalent one-way relaying scheme and can be obtained efficiently using a simple bisection method. Once this parameter is obtained, the beamforming weight vector can be obtained in a closed form.
Keywords :
ad hoc networks; array signal processing; beamforming weight vector; distributed beamforming technique; equivalent one-way relaying scheme; multiple relay nodes; optimal decentralized beamforming; semi-closed-form solution; transceivers; two-way relay networks; Array signal processing; Computer networks; Conferences; Design engineering; Distributed computing; Quality of service; Relays; Transceivers; Vectors; Wireless networks; Distributed beamforming; SNR balancing; ad hoc relay networks; bi-directional relaying; distributed signal processing; optimal power allocation; two-way relaying;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
Conference_Location :
Aruba, Dutch Antilles
Print_ISBN :
978-1-4244-5179-1
Electronic_ISBN :
978-1-4244-5180-7
DOI :
10.1109/CAMSAP.2009.5413328