Transceiver Design for Dual-Hop Nonregenerative MIMO-OFDM Relay Systems Under Channel Uncertainties

In this paper, linear transceiver design for dual-hop nonregenerative [amplify-and-forward (AF)] MIMO-OFDM systems under channel estimation errors is investigated. Second order moments of channel estimation errors in the two hops are first deduced. Then based on the Bayesian framework, joint design of linear forwarding matrix at the relay and equalizer at the destination under channel estimation errors is proposed to minimize the total mean-square-error (MSE) of the output signal at the destination. The optimal designs for both correlated and uncorrelated channel estimation errors are considered. The relationship with existing algorithms is also disclosed. Moreover, this design is extended to the joint design involving source precoder design. Simulation results show that the proposed design outperforms the design based on estimated channel state information only.

[1]  Björn E. Ottersten,et al.  Statistically Robust Design of Linear MIMO Transceivers , 2008, IEEE Transactions on Signal Processing.

[2]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series) , 2007 .

[3]  Armin Wittneben,et al.  Power Allocation Schemes for Amplify-and-Forward MIMO-OFDM Relay Links , 2007, IEEE Transactions on Wireless Communications.

[4]  Ahmed M. Eltawil,et al.  Optimizations of a MIMO Relay Network , 2008, IEEE Transactions on Signal Processing.

[5]  Josef A. Nossek,et al.  Linear transmit processing in MIMO communications systems , 2005, IEEE Transactions on Signal Processing.

[6]  Petre Stoica,et al.  Training sequence design for frequency offset and frequency-selective channel estimation , 2003, IEEE Trans. Commun..

[7]  D.L. Goeckel,et al.  Cooperative communications in mobile ad hoc networks , 2006, IEEE Signal Processing Magazine.

[8]  Helmut Bölcskei,et al.  Space-Time Wireless Systems: From Array Processing to MIMO Communications , 2008 .

[9]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[10]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

[11]  Wei Guan,et al.  Joint MMSE Transceiver Design in Non-Regenerative MIMO Relay Systems , 2008, IEEE Communications Letters.

[12]  Zhi-Quan Luo,et al.  Transceiver optimization for block-based multiple access through ISI channels , 2004, IEEE Transactions on Signal Processing.

[13]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..

[14]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

[15]  M. Ghogho,et al.  Training Design for Multipath Channel and Frequency-Offset Estimation in MIMO Systems , 2006, IEEE Transactions on Signal Processing.

[16]  Erik G. Larsson,et al.  Space-Time Block Coding for Wireless Communications , 2003 .

[17]  Wei Yu,et al.  Grassmannian beamforming for MIMO amplify-and-forward relaying , 2007, IEEE Journal on Selected Areas in Communications.

[18]  Hlaing Minn,et al.  Optimal training signals for MIMO OFDM channel estimation , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[19]  Tung-Sang Ng,et al.  Joint CFO and Channel Estimation for Multiuser MIMO-OFDM Systems With Optimal Training Sequences , 2008, IEEE Transactions on Signal Processing.

[20]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[21]  Wolfgang Utschick,et al.  Robust Tomlinson–Harashima Precoding for the Wireless Broadcast Channel , 2007, IEEE Transactions on Signal Processing.

[22]  Steven D. Blostein,et al.  MIMO Minimum Total MSE Transceiver Design With Imperfect CSI at Both Ends , 2009, IEEE Transactions on Signal Processing.

[23]  E. Masoud,et al.  Space-Time Block Coding for Wireless Communications , 2008 .

[24]  Anna Scaglione,et al.  Cooperative Randomized MIMO-OFDM Downlink for Multicell Networks: Design and Analysis , 2010, IEEE Transactions on Signal Processing.

[25]  Christian P. Robert,et al.  The Bayesian choice , 1994 .

[26]  Yonina C. Eldar,et al.  Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties , 2005, Math. Program..

[27]  Franklin D. Ohrtman,et al.  Wi-Fi Handbook: Building 802.11b Wireless Networks , 2003 .

[28]  Tung-Sang Ng,et al.  Time-Domain Signal Detection Based on Second-Order Statistics for MIMO-OFDM Systems , 2007, IEEE Transactions on Signal Processing.

[29]  Leila Musavian,et al.  Effect of Channel Uncertainty on the Mutual Information of MIMO Fading Channels , 2007, IEEE Transactions on Vehicular Technology.

[30]  Yingbo Hua,et al.  Optimal Design of Non-Regenerative MIMO Wireless Relays , 2007, IEEE Transactions on Wireless Communications.

[31]  Yue Rong,et al.  A Unified Framework for Optimizing Linear Nonregenerative Multicarrier MIMO Relay Communication Systems , 2009, IEEE Transactions on Signal Processing.

[32]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[33]  Gregori Vázquez,et al.  Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI , 2005, IEEE Transactions on Signal Processing.

[34]  Jørgen Bach Andersen,et al.  Space-Time Wireless Systems , 2006 .

[35]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[36]  Adrian Agustin,et al.  Linear Transceiver Design in Nonregenerative Relays With Channel State Information , 2007, IEEE Transactions on Signal Processing.

[37]  Robert W. Heath,et al.  MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks , 2008, IEEE Transactions on Signal Processing.

[38]  Aylin Yener,et al.  Transceiver optimization for multiuser MIMO systems , 2004, IEEE Transactions on Signal Processing.

[39]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[40]  A. Banerjee.  Convex Analysis and Optimization , 2006 .