Channel Estimation for Millimeter Wave MIMO Systems in the Presence of CFO Uncertainties

Channel estimation at millimeter wave (mmWave) allows designing hybrid precoders and combiners to maximize performance metrics such as the spectral efficiency. A major source of difficulty when estimating the channel is the carrier frequency offset. In this paper, we propose the first joint compressive - Maximum Likelihood (ML) algorithm for joint carrier frequency offset and channel estimation at mmWave. Simulation results show that small estimation errors and near-optimal values of spectral efficiency can be achieved without incurring in significant overhead and/or computational complexity.

[1]  Robert W. Heath,et al.  Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? , 2015, IEEE Access.

[2]  Mustapha Djeddou,et al.  Improved channel estimation in mmWave communication system , 2017, 2017 Seminar on Detection Systems Architectures and Technologies (DAT).

[3]  Robert W. Heath,et al.  Spatially Sparse Precoding in Millimeter Wave MIMO Systems , 2013, IEEE Transactions on Wireless Communications.

[4]  Junho Lee,et al.  Exploiting spatial sparsity for estimating channels of hybrid MIMO systems in millimeter wave communications , 2014, 2014 IEEE Global Communications Conference.

[5]  Eldad Perahia,et al.  IEEE 802.11ad: Defining the Next Generation Multi-Gbps Wi-Fi , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

[6]  Robert W. Heath,et al.  An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems , 2015, IEEE Journal of Selected Topics in Signal Processing.

[7]  Upamanyu Madhow,et al.  Compressive Channel Estimation and Tracking for Large Arrays in mm-Wave Picocells , 2015, IEEE Journal of Selected Topics in Signal Processing.

[8]  Chin-Sean Sum,et al.  Beam Codebook Based Beamforming Protocol for Multi-Gbps Millimeter-Wave WPAN Systems , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[9]  Changming Zhang,et al.  Iterative channel estimation and phase noise compensation for SC-FDE based mmWave systems , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

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

[11]  Xiaohui Chen,et al.  Multi-stage beamforming codebook for 60GHz WPAN , 2011, 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM).

[12]  Robert W. Heath,et al.  Dictionary-free hybrid precoders and combiners for mmWave MIMO systems , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[13]  Robert W. Heath,et al.  A compressive channel estimation technique robust to synchronization impairments , 2017, 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[14]  Robert W. Heath,et al.  Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.

[15]  James V. Krogmeier,et al.  Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks , 2013, IEEE Transactions on Communications.