MMSE-Based Non-Regenerative Parallel MIMO Relaying with Simplified Receiver

This paper considers a cooperative MIMO relaying system in which the source sends information to the destination with the aid of multiple relays, each equipped with multiple antennas. We design optimal linear relaying matrices that minimize the mean square error between the source and the received signal vectors under a total transmitted power constraint imposed on all the relays. The optimal matrices are obtained by solving the corresponding Karush-Kuhn-Tucker (KKT) conditions. Simulation results show significant advantages of the newly designed relaying matrices over other competing approaches in terms of bit-error rate (BER) performance. Moreover, this strategy enables the self- demultiplexing of the spatial substreams without the need for a MIMO combiner at the destination, so that a simplified receiver structure can be used without performance loss. In addition, the new design can serve as a suboptimal solution for multiuser MIMO relaying applications.

[1]  Ernst Bonek,et al.  A stochastic MIMO channel model with joint correlation of both link ends , 2006, IEEE Transactions on Wireless Communications.

[2]  Anna Scaglione,et al.  Redundant filterbank precoders and equalizers. I. Unification and optimal designs , 1999, IEEE Trans. Signal Process..

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

[4]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[5]  Kyoung-Jae Lee,et al.  Joint MMSE Transceiver Design for MIMO Amplify-and-Forward Relay Systems with Multiple Relays , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

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

[7]  Olga Muñoz Medina,et al.  Linear transceiver design in nonregenerative relays with channel state information , 2007 .

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

[9]  Muhammad R. A. Khandaker,et al.  Optimal Joint Source and Relay Beamforming for Parallel MIMO Relay Networks , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[10]  Takahiro Asai,et al.  A relaying scheme using QR decomposition with phase control for MIMO wireless networks , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[11]  John S. Thompson,et al.  MIMO Configurations for Relay Channels: Theory and Practice , 2007, IEEE Transactions on Wireless Communications.

[12]  Chengwen Xing,et al.  This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Robust Joint Design of Linear Relay Precoder and Destination Equalizer for Dual-Hop Amplify-and , 2009 .

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

[14]  Wei-Ping Zhu,et al.  A nearly optimal amplify-and-forward relaying scheme for two-hop MIMO multi-relay networks , 2010, IEEE Communications Letters.

[15]  H. Poor,et al.  Iterative transceiver design for MIMO AF relay networks with multiple sources , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[16]  Benoît Champagne,et al.  Non-regenerative MIMO relaying strategies — from single to multiple cooperative relays , 2010, 2010 International Conference on Wireless Communications & Signal Processing (WCSP).

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

[18]  Arogyaswami Paulraj,et al.  Design and analysis of linear distributed MIMO relaying algorithms , 2006 .

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