Vector quantization and signal compression
Vector quantization and signal compression
Network beamforming using relays with perfect channel information
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
Distributed beamforming and power allocation for cooperative networks
IEEE Transactions on Wireless Communications - Part 2
IEEE Transactions on Wireless Communications - Part 2
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Feedback rate-capacity loss tradeoff for limited feedback MIMO systems
IEEE Transactions on Information Theory
Hi-index | 0.00 |
This paper investigates beamforming with limited feedback in regenerative cooperative networks where relays demodulate and forward the received symbols. We propose an optimal beamforming vector maximizing the received signal-to-noise (SNR) at the destination and derive an upper bound on performance for limited feedback scheme. Given the fixed number of feedback bits, the gap in performance between beamforming with quantized and perfect channel state information (CSI) at high SNRs is proved to be constant. The results indicate that this scheme is very attractive in terms of performance-complexity tradeoff.