Multiple peer-to-peer communications using a network of relays
IEEE Transactions on Signal Processing
Optimization of power constrained multi-source uplink relay networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
Transceiver optimization for multiuser MIMO systems
IEEE Transactions on Signal Processing
Transmit beamforming for physical-layer multicasting
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
Distributed beamforming and power allocation for cooperative networks
IEEE Transactions on Wireless Communications - Part 2
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Fading relay channels: performance limits and space-time signal design
IEEE Journal on Selected Areas in Communications
Grassmannian beamforming for MIMO amplify-and-forward relaying
IEEE Journal on Selected Areas in Communications
Optimization of power constrained multi-source uplink relay networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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Beamforming and relaying are two methods of improving wireless system performance. Until now, these techniques have been considered separately. In this paper, a single source (basestation) with multiple antennas broadcasts to multiple single-antenna destinations through a network of single-antenna relays. A transmit precoder is first proposed to optimize the system for a set of fixed relay gains and phases (beamforming weights). Next, by straightforwardly generalizing results from the recent literature, these distributed relay beam-forming weights are optimized for this transmit precoder. The process is performed iteratively, and both problems are solved using semidefinite relaxation. For the special case of a single destination, we also provide a closed-form solution for relay optimization using a fixed linear precoder at the transmitter. Simulation results quantify the tradeoffs between the number of antennas at the basestation versus the number of relays, in terms of total relay network transmit power savings.