Encoding and Decoding for mmWave Massive MIMO Systems

Millimeter-wave (mmWave) and massive multipleinput multiple-output (MIMO) are novel technologies to achieve a satisfactory data rate (up to Giga bits per second) needed by fifth generation (5G) communication systems. There are differences between the signal processing required in high and low frequencies such as hardware limitations and channel models. This paper presents the potential mmWave massive MIMO architecture. It also reviews the up-to-date receivers' structure proposed in mmWave massive MIMO systems. In addition, the paper presents the limitations and differences between the existing algorithms like the maximum ratio combining (MRC), the equal gain combining (EGC) and the iterative block decision feedback equalization (IB-DFE).

[1]  Rahim Tafazolli,et al.  MultiSphere: Massively Parallel Tree Search for Large Sphere Decoders , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[2]  Adão Silva,et al.  Hybrid Iterative Space-Time Equalization for Multi-User mmW Massive MIMO Systems , 2017, IEEE Transactions on Communications.

[3]  Rui Dinis,et al.  Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[4]  J. Torsner,et al.  Internet of Things in the 5G Era: Enablers, Architecture, and Business Models , 2016, IEEE Journal on Selected Areas in Communications.

[5]  Shuangfeng Han,et al.  Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G , 2015, IEEE Communications Magazine.

[6]  B. Sundar Rajan,et al.  High-Rate Space–Time Coded Large-MIMO Systems: Low-Complexity Detection and Channel Estimation , 2008, IEEE Journal of Selected Topics in Signal Processing.

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

[8]  Zhen Gao,et al.  Precoding for mmWave massive MIMO , 2017 .

[9]  Rui Dinis,et al.  A Simplified Massive MIMO Approach Using Precoding , 2017, 2017 IEEE International Conference on Computer and Information Technology (CIT).

[10]  Mahmoud A. M. Albreem An Efficient Lattice Sphere Decoding Technique for Multi-Carrier Systems , 2015, Wirel. Pers. Commun..

[11]  Geoffrey Ye Li,et al.  A survey of energy-efficient wireless communications , 2013, IEEE Communications Surveys & Tutorials.

[12]  Xiaohu You,et al.  Hybrid precoding for millimeter wave massive MIMO with analog combining , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[13]  Joseph R. Cavallaro,et al.  FPGA design of a coordinate descent data detector for large-scale MU-MIMO , 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

[14]  Michael D. Zoltowski,et al.  Low Complexity Detection Algorithms in Large-Scale MIMO Systems , 2016, IEEE Transactions on Wireless Communications.

[15]  Markus Rupp,et al.  A low-complexity equalizer for massive MIMO systems based on array separability , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

[16]  Linglong Dai,et al.  Channel estimation for mmWave massive MIMO based access and backhaul in ultra-dense network , 2016, 2016 IEEE International Conference on Communications (ICC).

[17]  B. Sundar Rajan,et al.  A Low-complexity near-ML performance achieving algorithm for large MIMO detection , 2008, 2008 IEEE International Symposium on Information Theory.

[18]  Nevio Benvenuto,et al.  Block iterative DFE for single carrier modulation , 2002 .

[19]  Zhu Han,et al.  Design and Optimization on Training Sequence for mmWave Communications: A New Approach for Sparse Channel Estimation in Massive MIMO , 2017, IEEE Journal on Selected Areas in Communications.

[20]  Ananthanarayanan Chockalingam,et al.  Channel Hardening-Exploiting Message Passing (CHEMP) Receiver in Large-Scale MIMO Systems , 2013, IEEE Journal of Selected Topics in Signal Processing.

[21]  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.

[22]  Hongwen Yang,et al.  Hybrid Precoding for mmWave Massive MIMO Systems With Partially Connected Structure , 2017, IEEE Access.

[23]  Zhongfeng Wang,et al.  Low Complexity Message Passing Detection Algorithm for Large-Scale MIMO Systems , 2018, IEEE Wireless Communications Letters.

[24]  Robert W. Heath,et al.  Achievable rates of multi-user millimeter wave systems with hybrid precoding , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[25]  Xin Meng,et al.  Omnidirectional Precoding and Combining Based Synchronization for Millimeter Wave Massive MIMO Systems , 2017, IEEE Transactions on Communications.

[26]  Syed Ali Hassan,et al.  Encoding and detection in mmWave massive MIMO , 2017 .

[27]  Xiaoli Ma,et al.  Element-Based Lattice Reduction Algorithms for Large MIMO Detection , 2013, IEEE Journal on Selected Areas in Communications.

[28]  B. Sundar Rajan,et al.  Low-Complexity Detection in Large-Dimension MIMO-ISI Channels Using Graphical Models , 2011, IEEE Journal of Selected Topics in Signal Processing.

[29]  Robert W. Heath,et al.  MIMO Precoding and Combining Solutions for Millimeter-Wave Systems , 2014, IEEE Communications Magazine.

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

[31]  Mahmoud A. M. Albreem,et al.  A review: detection techniques for LTE system , 2016, Telecommun. Syst..

[32]  B. Rajan,et al.  Improved large-MIMO detection based on damped belief propagation , 2010, 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo).

[33]  Adão Silva,et al.  Iterative Multiuser Equalization for Subconnected Hybrid mmWave Massive MIMO Architecture , 2017, Wirel. Commun. Mob. Comput..

[34]  Abhay Kumar Sah,et al.  Likelihood-Based Tree Search for Low Complexity Detection in Large MIMO Systems , 2017, IEEE Wireless Communications Letters.

[35]  Mohd Fadzli Mohd Salleh,et al.  Lattice Sphere Decoding for Data Transmission Systems with Special Channel Matrices , 2014, Wirel. Pers. Commun..

[36]  Mahmoud Elkhodr,et al.  The Internet of Things: Vision & challenges , 2013, IEEE 2013 Tencon - Spring.

[37]  Adão Silva,et al.  Two-stage space-time receiver structure for multiuser hybrid mmW massive MIMO systems , 2016, 2016 IEEE Conference on Standards for Communications and Networking (CSCN).

[38]  Ananthanarayanan Chockalingam,et al.  Channel hardening-exploiting message passing (CHEMP) receiver in large MIMO systems , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[39]  Shahid Mumtaz,et al.  Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey , 2018, IEEE Communications Surveys & Tutorials.

[40]  Chau Yuen,et al.  Turbo-Like Beamforming Based on Tabu Search Algorithm for Millimeter-Wave Massive MIMO Systems , 2015, IEEE Transactions on Vehicular Technology.

[41]  Ananthanarayanan Chockalingam,et al.  Layered Tabu Search Algorithm for Large-MIMO Detection and a Lower Bound on ML Performance , 2011, IEEE Trans. Commun..

[42]  Jianhua Lu,et al.  Low-Complexity Iterative Detection for Large-Scale Multiuser MIMO-OFDM Systems Using Approximate Message Passing , 2014, IEEE Journal of Selected Topics in Signal Processing.

[43]  Cong Ling,et al.  Sequential lattice reduction , 2016, 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP).

[44]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[45]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[46]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

[47]  B. Sundar Rajan,et al.  A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems , 2008, IEEE Journal on Selected Areas in Communications.

[48]  Mahmoud A. M. Albreem,et al.  5G wireless communication systems: Vision and challenges , 2015, 2015 International Conference on Computer, Communications, and Control Technology (I4CT).

[49]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[50]  Zhengang Pan,et al.  Alternating beamforming methods for hybrid analog and digital MIMO transmission , 2015, 2015 IEEE International Conference on Communications (ICC).

[51]  Akbar M. Sayeed,et al.  Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements , 2013, IEEE Transactions on Antennas and Propagation.

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

[53]  B. Sundar Rajan,et al.  High-Rate Space-Time Coded Large MIMO Systems: Low-Complexity Detection and Performance , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[54]  Christian Sturm,et al.  Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing , 2011, Proceedings of the IEEE.

[55]  Abhay Kumar Sah,et al.  An MMP-Based Approach for Detection in Large MIMO Systems Using Sphere Decoding , 2017, IEEE Wireless Communications Letters.

[56]  Mohd Fadzli Mohd Salleh,et al.  Regularized Lattice Sphere Decoding for Block Data Transmission Systems , 2015, Wirel. Pers. Commun..

[57]  Markku J. Juntti,et al.  On Approximate Matrix Inversion Methods for Massive MIMO Detectors , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).