NDLI: Reduced-complexity distributed beamforming algorithm for individual relay power constraints

Content Provider	IEEE Xplore Digital Library
Author	Steinwandt, J. Haardt, M.
Copyright Year	2013
Description	Author affiliation: Commun. Res. Lab., Ilmenau Univ. of Technol., Ilmenau, Germany (Steinwandt, J.; Haardt, M.)
Abstract	This paper presents a distributed beamforming algorithm with a reduced computational complexity for a wireless relay network, where a source-destination pair is assisted by cooperating amplify-and-forward (AF) relays but suffers from additional interference. The relay weights are obtained by maximizing the signal-to-interference-plus-noise ratio (SINR) at the destination subject to individual relay power constraints. Mathematically, this problem is a quasi-convex constrained maximization of a fractional quadratic function, which is typically solved via semidefinite relaxation (SDR) along with a bisection search that requires several iterations. We, however, propose a method based on the SDR approach followed by a change of the optimization variables to convert the original quasi-convex problem into a convex problem. The resulting optimization problem can then be solved in one step without a bisection search, thereby significantly reducing the computational complexity. The effectiveness of the developed procedure is shown by simulations and a complexity analysis. It may also be applicable to similar problems in other applications.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	496
Ending Page	499
File Size	240395
Page Count	4
File Format	PDF
e-ISBN	9781467331463
DOI	10.1109/CAMSAP.2013.6714116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	semidefinite relaxation Array signal processing bisection method Interference Search problems Distributed beamforming Relays Computational complexity quasi-convex problem Optimization Signal to noise ratio
Content Type	Text
Resource Type	Article

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