Title :
Low-overhead cooperative beamforming under imperfect quantized SNR of source-to-relay links
Author :
Wu, Jwo-Yuh ; Hu, Chung-Hsuan ; Wang, Tsang-Yi
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
We consider a cooperative beamforming system with the amplify-and-forward protocol. To reduce the signaling overhead, each relay 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; eigenvalues and eigenfunctions; probability; radio links; BSC bit-flipping distributions; S-R link; beamforming design criterion; beamforming weights; binary symmetric channel; closed-form suboptimal beamformer; computer simulations; crossover probability; error-corrupted one-bit messages; generalized eigenvalue problem; low-overhead cooperative beamforming system; quantized SNR; signaling overhead reduction; source-to-relay links; Array signal processing; Computer simulation; Measurement; Protocols; Relays; Signal to noise ratio; Wireless sensor networks; Cooperative communications; amplify and forward; beamforming; overhead reduction; quantization; relay;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
Print_ISBN :
978-1-4673-1070-3
DOI :
10.1109/SAM.2012.6250529