Convex Optimization
IEEE Transactions on Signal Processing
Practical algorithms for a family of waterfilling solutions
IEEE Transactions on Signal Processing
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
Linear Transceiver Design in Nonregenerative Relays With Channel State Information
IEEE Transactions on Signal Processing
Distributed space-time coding for regenerative relay networks
IEEE Transactions on Wireless Communications
Distributed Space-Time Coding in Wireless Relay Networks
IEEE Transactions on Wireless Communications
Optimal Design of Non-Regenerative MIMO Wireless Relays
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
On the capacity of MIMO relay channels
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Distributed beamforming in wireless relay networks with quantized feedback
IEEE Journal on Selected Areas in Communications
Joint source/relay precoder design in amplify-and-forward relay systems using an MMSE criterion
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Hi-index | 0.01 |
This paper considers transmitter precoding in an amplify-and-forward cooperative system where multiple antennas are equipped at the source, the relay, and the destination. Existing methods for the problem only consider the design of the relay precoder. To further improve the performance, we include the source precoder into the design. Using a minimum-mean-square-error (MMSE) criterion, we propose a joint source/relay precoder design method, taking both the direct and relay links into account. It is shown that the MMSE is a highly nonlinear function of the precoding matrices, and a direct minimization is not feasible. To facilitate analysis, we propose to design the precoders toward first diagonalizing the MSE matrix of the relay link. This imposes certain structural constraints on both precoders that allow us to derive an analytically tractable MSE upper bound. By conducting minimization with respect to this bound, the solution can be obtained by an iterative water-filling technique.