Matrix analysis
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Space-Time Block Coding for Wireless Communications
Space-Time Block Coding for Wireless Communications
Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
SIAM Journal on Optimization
Robust Signal Processing for Wireless Communications No. 2
Robust Signal Processing for Wireless Communications No. 2
LTE, The UMTS Long Term Evolution: From Theory to Practice
LTE, The UMTS Long Term Evolution: From Theory to Practice
MIMO minimum total MSE transceiver design with imperfect CSI at both ends
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Ergodic capacity analysis of amplify-and-forward MIMO dual-hop systems
IEEE Transactions on Information Theory
Optimizations of a MIMO Relay Network
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Linear transmit processing in MIMO communications systems
IEEE Transactions on Signal Processing - Part I
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
Statistically Robust Design of Linear MIMO Transceivers
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
Iterative transmitter and receiver optimization for CDMA networks
IEEE Transactions on Wireless Communications
Capacity scaling laws in MIMO 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
Distributed beamforming in wireless relay networks with quantized feedback
IEEE Journal on Selected Areas in Communications
EURASIP Journal on Advances in Signal Processing
Robust Filter-and-forward Beamforming Design for Two-way Multi-antenna Relaying Networks
Mobile Networks and Applications
Weighted Sum Rate Maximization for Downlink Multiuser Relay Network with Direct Link
Wireless Personal Communications: An International Journal
Hi-index | 35.68 |
This paper addresses the problem of robust linear relay precoder and destination equalizer design for a dual-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay system, with Gaussian random channel uncertainties in both hops. By taking the channel uncertainties into account, two robust design algorithms are proposed to minimize the mean-square error (MSE) of the output signal at the destination. One is an iterative algorithm with its convergence proved analytically. The other is an approximated closed-form solution with much lower complexity than the iterative algorithm. Although the closed-form solution involves a minor relaxation for the general case, when the column covariance matrix of the channel estimation error at the second hop is proportional to identity matrix, no relaxation is needed and the proposed closed-form solution is the optimal solution. Simulation results show that the proposed algorithms reduce the sensitivity of the AF MIMO relay systems to channel estimation errors, and perform better than the algorithm using estimated channels only. Furthermore, the closed-form solution provides a comparable performance to that of the iterative algorithm.