Performance Simulation of a 5G Hybrid Beamforming Millimeter-Wave System

Millimeter-wave systems are the next step to increase the data rate of 5G mobile communication networks. Hybrid analog-digital beamforming is one of the core technologies to enable millimeter-wave communication. Both the theoretical basics and the hardware design have been investigated in recent years. Current research projects like the European SERENA project strive to develop platforms to demonstrate the performance gain of complete systems. We present a simulation based analysis of a planned proof-of-concept system to evaluate the influence of design decisions and hardware impairments. We use a geometry-based stochastic channel simulator and simulate both certain hardware aspects and signal processing parts. We focus on the signal processing parts directly related to the hybrid architecture used for multi user MIMO precoding like the initial link acquisition and the data precoding. We use our own state-of-the-art algorithms for these parts.

[1]  Giuseppe Caire,et al.  Fully-/Partially-Connected Hybrid Beamforming Architectures for mmWave MU-MIMO , 2019, IEEE Transactions on Wireless Communications.

[2]  Giuseppe Caire,et al.  Fully-Connected vs. Sub-Connected Hybrid Precoding Architectures for mmWave MU-MIMO , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[3]  Stefan Parkvall,et al.  5G New Radio: Unveiling the Essentials of the Next Generation Wireless Access Technology , 2018, IEEE Communications Standards Magazine.

[4]  Telmo R. Fernandes,et al.  Will COTS RF Front-Ends Really Cope With 5G Requirements at mmWave? , 2018, IEEE Access.

[5]  Giuseppe Caire,et al.  A Scalable and Statistically Robust Beam Alignment Technique for Millimeter-Wave Systems , 2018, IEEE Transactions on Wireless Communications.

[6]  Giuseppe Caire,et al.  On the Ergodic Rate Lower Bounds With Applications to Massive MIMO , 2017, IEEE Transactions on Wireless Communications.

[7]  Mikko Valkama,et al.  Cost of Increased Bandwidth Efficiency in 5G NR , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[8]  Theodore S. Rappaport,et al.  Small-Scale, Local Area, and Transitional Millimeter Wave Propagation for 5G Communications , 2017, IEEE Transactions on Antennas and Propagation.

[9]  Vasanthan Raghavan,et al.  Single-User Versus Multi-User Precoding for Millimeter Wave MIMO Systems , 2017, IEEE Journal on Selected Areas in Communications.

[10]  Christos Masouros,et al.  Hybrid Analog-Digital Millimeter-Wave MU-MIMO Transmission With Virtual Path Selection , 2017, IEEE Communications Letters.

[11]  Andreas F. Molisch,et al.  Hybrid Beamforming for Massive MIMO: A Survey , 2017, IEEE Communications Magazine.

[12]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

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

[14]  Lars Thiele,et al.  QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials , 2014, IEEE Transactions on Antennas and Propagation.