A General Rate Splitting Scheme for Hybrid Precoding in mmWave Systems

To reduce the high hardware cost in millimeter wave (mmWave) systems, hybrid analog/digital precoding structure is employed. Combination of hybrid precoding and massive-element antennas enables mmWave communication to provide a significant throughput gain. However, multiuser interference remains a bottleneck for performance improvement in mmWave systems. In this paper, in order to tackle the multiuser interference, we first introduce a general rate splitting (RS) strategy for mmWave downlink transmission. Then, we analyze the achievable rate regions under joint decoding and successive decoding schemes, respectively. After that, a novel hybrid precoding scheme that aims at maximizing the achievable sum rate under successive decoding is investigated. The proposed algorithm formulates the precoder design problem into a standard semidefinite programming (SDP), which can be solved iteratively with sub-gradient search. Finally, simulation results show that the proposed RS scheme and the hybrid precoding design bring considerable improvements over existing algorithms in rich scattering environments.

[1]  Robert W. Heath,et al.  Hybrid precoding for millimeter wave cellular systems with partial channel knowledge , 2013, 2013 Information Theory and Applications Workshop (ITA).

[2]  Nikos D. Sidiropoulos,et al.  Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups , 2008, IEEE Transactions on Signal Processing.

[3]  David Gesbert,et al.  Degrees of Freedom of Time Correlated MISO Broadcast Channel With Delayed CSIT , 2012, IEEE Transactions on Information Theory.

[4]  Ali M. Niknejad,et al.  Design considerations for 60 GHz CMOS radios , 2004, IEEE Communications Magazine.

[5]  Bruno Clerckx,et al.  Multiuser Millimeter Wave Beamforming Strategies With Quantized and Statistical CSIT , 2017, IEEE Transactions on Wireless Communications.

[6]  Wei Yu,et al.  Hybrid digital and analog beamforming design for large-scale MIMO systems , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[7]  Wei Yu,et al.  Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays , 2016, IEEE Journal of Selected Topics in Signal Processing.

[8]  Robert W. Heath,et al.  Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays , 2015, IEEE Journal on Selected Areas in Communications.

[9]  Xiqi Gao,et al.  Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.

[10]  Slawomir Stanczak,et al.  Multigroup multicast with application-layer coding: Beamforming for maximum weighted sum rate , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[11]  Shlomo Shamai,et al.  Linearly Precoded Rate Splitting: Optimality and Non-Optimality for MIMO Broadcast Channels , 2018, ArXiv.

[12]  Aria Nosratinia,et al.  Antenna selection in MIMO systems , 2004, IEEE Communications Magazine.

[13]  Symeon Chatzinotas,et al.  Multicast multigroup beamforming under per-antenna power constraints , 2014, 2014 IEEE International Conference on Communications (ICC).

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

[15]  Zhi-Quan Luo,et al.  Semidefinite Relaxation of Quadratic Optimization Problems , 2010, IEEE Signal Processing Magazine.

[16]  Khaled Ben Letaief,et al.  Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems , 2016, IEEE Journal of Selected Topics in Signal Processing.

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

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