Relay Selection Algorithm with Simplified Precoding for MIMO Multiple Relay Channels

Authors:
Yujie Han;Youhua Fu;Luxi Yang
Affiliations:
School of Information Science and Engineering, Southeast University, Nanjing, China;School of Information Science and Engineering, Southeast University, Nanjing, China;School of Information Science and Engineering, Southeast University, Nanjing, China
Venue:
Wireless Personal Communications: An International Journal
Year:
2012

Citing 8
Cited 0

Wireless Communications

Wireless Communications
Introduction to Space-Time Wireless Communications

Introduction to Space-Time Wireless Communications
MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks

IEEE Transactions on Signal Processing
Linear Transceiver Design in Nonregenerative Relays With Channel State Information

IEEE Transactions on Signal Processing
Optimal Design of Non-Regenerative MIMO Wireless Relays

IEEE Transactions on Wireless Communications
Improving amplify-and-forward relay networks: optimal power allocation versus selection

IEEE Transactions on Wireless Communications
Joint optimization of relay-precoders and decoders with partial channel side information in cooperative networks

IEEE Journal on Selected Areas in Communications
Grassmannian beamforming for MIMO amplify-and-forward relaying

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Considering an Amplify-and-Forward (AF) cooperative network with the help of multiple relay nodes, a relay selection algorithm with simplified precoder is proposed for the two-hop relay channels. This new algorithm based on the approximate received signal-noise rate (SNR), which chooses only one relay with the maximal received SNR gain to assist in transmission, can significantly reduce the required system consumption, achieve excellent bit-error-rate (BER) and average throughput, and maintain full diversity order. Simulation results demonstrate that the performance of the proposed scheme with a low complexity approaches to the optimal iteration method. And for practical situation with distance attenuation factor, the performance gain of our scheme is also in evident.