Performance Analysis of Amplify-and-Forward Multiple-Relay MIMO Systems With ZF Reception

This paper deals with performance analysis of a cooperative multiple-input-multiple-output (MIMO) network with spatial multiplexing, wherein multiple half-duplex relays perform noncoherent (i.e., without channel state information) amplify-and-forward (AF) relaying, and the destination employs a linear zero-forcing equalizer. The correlation among the noise samples at the destination, the non-Gaussian nature of the dual-hop channel, and the fact that the relays are located in different positions significantly complicates the performance analysis of the system. In the high-signal-to-noise-ratio (SNR) regime, we derive a simple and accurate approximation of the symbol error probability (SEP) at the destination. In the special case of a relaying cluster, such a result allows discussion of the best placement of the relays and the performance gain of cooperation over the direct (i.e., without relaying) transmission. The theoretical analysis is validated by comparison with semianalytical Monte Carlo simulations.

[1]  Kyoung-Jae Lee,et al.  MMSE Based Transceiver Designs in Closed-Loop Non-Regenerative MIMO Relaying Systems , 2010, IEEE Transactions on Wireless Communications.

[2]  Anna Scaglione,et al.  Decentralized space-time block coding for two-way relay networks , 2010, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

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

[4]  Anna Scaglione,et al.  Randomized space-time block coding for distributed amplify-and-forward cooperative relays , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Francesco Verde,et al.  Performance Analysis of Distributed Space–Time Block Coding Schemes in Middleton Class-A Noise , 2013, IEEE Transactions on Vehicular Technology.

[6]  Kyoung-Jae Lee,et al.  Performance Analysis of MMSE-Based Amplify and Forward Spatial Multiplexing MIMO Relaying Systems , 2011, IEEE Transactions on Communications.

[7]  Deqiang Chen User Cooperation Diversity , 2003 .

[8]  Branka Vucetic,et al.  Performance analysis of beamforming in two hop amplify and forward relay networks with antenna correlation , 2009, IEEE Transactions on Wireless Communications.

[9]  D. G. Nel,et al.  A solution to the multivariate behrens-fisher problem , 1986 .

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

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

[12]  Mandy Eberhart,et al.  Digital Communication Over Fading Channels , 2016 .

[13]  Khaled Ben Letaief,et al.  System Design, DMT Analysis, and Penalty for Non-Coherent Relaying , 2012, IEEE Transactions on Communications.

[14]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[15]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[16]  Donatella Darsena,et al.  Subspace-based blind channel identification of SISO-FIR systems with improper random inputs , 2004, Signal Process..

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

[18]  A. James Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[19]  Helmut Bölcskei,et al.  Capacity scaling laws in MIMO relay networks , 2006, IEEE Transactions on Wireless Communications.

[20]  Caijun Zhong,et al.  Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems , 2008, IEEE Transactions on Information Theory.

[21]  Mazen O. Hasna,et al.  A performance study of dual-hop transmissions with fixed gain relays , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[22]  Jean-Claude Belfiore,et al.  Optimal Space–Time Codes for the MIMO Amplify-and-Forward Cooperative Channel , 2005, IEEE Transactions on Information Theory.

[23]  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 .

[24]  Kyoung-Jae Lee,et al.  MMSE-Based MIMO Cooperative Relaying Systems: Closed-Form Designs and Outage Behavior , 2012, IEEE Journal on Selected Areas in Communications.

[25]  Francesco Verde Design of randomized space-time block codes for amplify-and-forward cooperative relaying , 2012, 2012 5th International Symposium on Communications, Control and Signal Processing.

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

[27]  Yifei Yuan,et al.  IMT-advanced relay standards [WiMAX/LTE Update] , 2010, IEEE Communications Magazine.

[28]  Luc Vandendorpe,et al.  Performance analysis of linear receivers in a MIMO relaying system , 2009, IEEE Communications Letters.

[29]  John M. Cioffi,et al.  On the distribution of SINR for the MMSE MIMO receiver and performance analysis , 2006, IEEE Transactions on Information Theory.

[30]  Feller William,et al.  An Introduction To Probability Theory And Its Applications , 1950 .

[31]  Francesco Verde,et al.  Performance analysis of randomised space-time block codes for amplify-and-forward cooperative relaying , 2013, IET Commun..

[32]  Andrea J. Goldsmith,et al.  Multi-hop MIMO relay networks: diversity-multiplexing trade-off analysis , 2010, IEEE Transactions on Wireless Communications.

[33]  Inkyu Lee,et al.  Transceiver Designs for Multipoint-to-Multipoint MIMO Amplify-and-Forward Relaying Systems , 2014, IEEE Transactions on Wireless Communications.

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