On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Convex Optimization
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Joint Design of Tx-Rx Beamformers in MIMO Downlink Channel
IEEE Transactions on Signal Processing
Linear Transceiver Design in Nonregenerative Relays With Channel State Information
IEEE Transactions on Signal Processing
Optimal power allocation for relayed transmissions over Rayleigh-fading channels
IEEE Transactions on Wireless Communications
Capacity scaling laws in MIMO relay networks
IEEE Transactions on Wireless Communications
Cooperative relaying in multi-antenna fixed relay networks
IEEE Transactions on Wireless Communications
Optimal Design of Non-Regenerative MIMO Wireless Relays
IEEE Transactions on Wireless Communications
MIMO Configurations for Relay Channels: Theory and Practice
IEEE Transactions on Wireless Communications
Power Allocation Schemes for Amplify-and-Forward MIMO-OFDM Relay Links
IEEE Transactions on Wireless Communications
Distributed power allocation strategies for parallel relay networks
IEEE Transactions on Wireless Communications
On the capacity of MIMO relay channels
IEEE Transactions on Information Theory
Capacity bounds and power allocation for wireless relay channels
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
An introduction to convex optimization for communications and signal processing
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Hi-index | 35.69 |
A joint power allocation (PA) scheme for a class of MIMO relay systems is presented in this paper. Based on the maximization of the capacity or minimization of the mean-square error (MSE), two joint PA optimization problems are first formulated. Since the cost functions thus obtained are in general not convex, a tight lower bound of the capacity and a similar upper bound of the MSE are derived, and employed to modify the two cost functions so as to obtain a convex optimization problem. It is confirmed through computer simulations that the proposed PA scheme out-performs the existing method in terms of both the capacity and the MSE of MIMO relay systems.