MIMO-OFDM non-regenerative relay channel estimation using compressed sensing

In this paper, a compressed sensing (CS)-based channel estimation technique is developed for MIMO-OFDM networks with Amplify-and-Forward (AF) relaying method. The impacts of multiple antennas as well as existing a direct link between source and destination are studied. The proposed CS-based method utilizes the inherent sparse characteristic of wireless channel and improves the bandwidth efficiency as it requires a few measurement units for channel estimation. The simulation results show that the proposed CS-based method outperforms the Least Squares (LS)-based channel estimation.

[1]  Xiaojing Huang,et al.  Compressed Sensing Based Channel Estimation for Two-Way Relay Networks , 2012, IEEE Wireless Communications Letters.

[2]  Mazen O. Hasna,et al.  Iterative Compressive Estimation and Decoding for Network-Channel-Coded Two-Way Relay Sparse ISI Channels , 2012, IEEE Communications Letters.

[3]  Abolfazl Mehbodniya,et al.  Sparse Channel Estimation for MIMO-OFDM Amplify-and-Forward Two-Way Relay Networks , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[4]  Zhu Han,et al.  Compressive Sensing Based High-Resolution Channel Estimation for OFDM System , 2012, IEEE Journal of Selected Topics in Signal Processing.

[5]  Franz Hlawatsch,et al.  A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[6]  Bo Wang,et al.  On the capacity of MIMO relay channels , 2005, IEEE Transactions on Information Theory.

[7]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[8]  Yiqing Zhou,et al.  Sparse channel estimation for OFDM based two-way relay networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[9]  Ying-Chang Liang,et al.  On Channel Estimation for OFDM Based Two-Way Relay Networks , 2009, 2009 IEEE International Conference on Communications.

[10]  Robert D. Nowak,et al.  Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels , 2010, Proceedings of the IEEE.

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

[12]  Deanna Needell,et al.  CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.

[13]  Shengli Zhou,et al.  Application of compressive sensing to sparse channel estimation , 2010, IEEE Communications Magazine.

[14]  Y. Gaur,et al.  Performance Comparison of OMP and CoSaMP Based Channel Estimation in AF-TWRN Scenario , 2012, 2012 Third International Conference on Computer and Communication Technology.

[15]  Robert D. Nowak,et al.  Compressed channel sensing , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[16]  S. Frick,et al.  Compressed Sensing , 2014, Computer Vision, A Reference Guide.

[17]  E.J. Candes.  Compressive Sampling , 2022 .

[18]  Michael A. Saunders,et al.  Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..

[19]  Stephen J. Wright,et al.  Computational Methods for Sparse Solution of Linear Inverse Problems , 2010, Proceedings of the IEEE.

[20]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

[21]  Abolfazl Mehbodniya,et al.  Compressed Channel Estimation for Sparse Multipath Non-Orthogonal Amplify-and-Forward Cooperative Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).