DocumentCode :
6577
Title :
Design of Low-Overhead Cooperative Beamforming for Information Relaying in Wireless Sensor Networks Under Imperfect Quantized SNR of Source-to-Relay Links
Author :
Jwo-Yuh Wu ; Chung-Hsuan Hu ; Tsang-Yi Wang ; Shang-Ho Tsai
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
61
Issue :
6
fYear :
2013
fDate :
15-Mar-13
Firstpage :
1368
Lastpage :
1374
Abstract :
We consider a wireless sensor network employing cooperative beamforming for information relaying. To reduce the signaling overhead, each relay node quantizes the SNR of the source-to-relay (S-R) link into one bit, which is then transmitted through a binary symmetric channel (BSC) with a known crossover probability to the destination. Given the set of the error-corrupted one-bit messages received at the destination, the beamforming design criterion is the maximization of the expected receive SNR, averaged over the conditional bit-flipping distributions of BSCs. We derive an analytic expression for the considered SNR metric, which is a complicated function of the beamforming weights. To facilitate analysis, we further derive a tractable lower bound for the conditional average SNR. By conducting maximization with respect to this lower bound, a closed-form sub-optimal beamformer can be obtained as a solution to a generalized eigenvalue problem. Computer simulations are used to illustrate the performance of the proposed scheme.
Keywords :
array signal processing; cooperative communication; wireless sensor networks; beamforming design criterion; beamforming weights; binary symmetric channel; bit flipping distribution; closed form suboptimal beamformer; computer simulation; crossover probability; error corrupted one bit message; generalized eigenvalue problem; imperfect quantized SNR; information relaying; low overhead cooperative beamforming; signaling overhead; source to relay links; wireless sensor networks; Array signal processing; Complexity theory; Measurement; Quantization; Relays; Signal to noise ratio; Wireless sensor networks; Amplify and forward; beamforming; cooperative communications; overhead reduction; quantization; relay;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2013.2238932
Filename :
6409475
Link To Document :
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