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Low-Complexity Distributed Beamforming for Relay Networks With Real-Valued Implementation

Zhang, L, Liu, W and Li, J (2013) Low-Complexity Distributed Beamforming for Relay Networks With Real-Valued Implementation IEEE Transactions on Signal Processing, 61 (20). pp. 5039-5048.

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The distributed beamforming problem for amplify-and-forward relay networks is studied. Maximizing output SNR (signal-to-noise ratio) for distributed beamforming can be considered as a generalized eigenvector problem (GEP) and the principal eigenvector and its eigenvalue can be derived with a standard closed-form solution. In this paper, four classes of beamforming algorithms are derived based on different design criteria and constraints, including maximizing output SNR subject to a constraint on the total transmitted signal power, minimizing the total transmitted signal power subject to certain level of output SNR, minimizing the relay node number subject to constraints on the total signal power and output SNR, and a robust algorithm to deal with channel estimation errors. All of the algorithms have a low computational complexity due to the proposed real-valued implementation.

Item Type: Article
Subjects : Electronic Engineering
Divisions : Surrey research (other units)
Authors :
Liu, W
Li, J
Date : 15 October 2013
DOI : 10.1109/TSP.2013.2274957
Copyright Disclaimer : © 2013 IEEE
Uncontrolled Keywords : Relays, Signal to noise ratio, Array signal processing, Robustness, Algorithm design and analysis, Peer-to-peer computing, Distributed beamforming, Relay networks, Generalized eigenvector problem, Robust algorithm
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:58
Last Modified : 25 Jan 2020 00:35

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