Performance Evaluation of Beam Shapes in a Two-Step-Precoded Massive MIMO System

Massive MIMO is known as a promising technology for multiuser multiplexing in the fifth generation mobile communication system to accommodate the rapidly-increasing traffic. It has a large number of antenna elements and thus provides very sharp beams. As seen in hybrid beamforming, there have already been many papers on the concatenation of two precoders (beamformers). The inner precoder, i.e., a multi-beam former, performs a linear transformation between the element space and the beam space. The outer precoder forms nulls in the limited beam space spanned by selected beams to suppress the inter-user interference. In this two-step precoder, the beam shape is expected to determine the system performance. In this paper, we evaluate the achievable throughput performance for different beam-shaping schemes: a discrete Fourier transform (DFT) beam, Chebyshev weighted beams, and Taylor weighted beam. Simulations show that the DFT beam provides the best performance except the case of imperfect precoding and cell edge SNR of 30 dB. key words: 5G, massive MIMO, higher frequency band, two-step beamforming

[1]  Xiongwen Zhao,et al.  Channel Measurements, Modeling, Simulation and Validation at 32 GHz in Outdoor Microcells for 5G Radio Systems , 2017, IEEE Access.

[2]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[3]  J.N. Sahalos,et al.  On the design of a single-layer wideband Butler matrix for switched-beam UMTS system applications [Wireless Corner] , 2006, IEEE Antennas and Propagation Magazine.

[4]  F. Tseng,et al.  Design of array and line-source antennas for Taylor patterns with a null , 1979 .

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

[6]  Toshihiko Nishimura,et al.  Performance evaluation on beam shapes of a large MIMO system , 2018, 2018 International Workshop on Antenna Technology (iWAT).

[7]  Satoshi Suyama,et al.  Joint Processing of Analog Fixed Beamforming and CSI-Based Precoding for Super High Bit Rate Massive MIMO Transmission Using Higher Frequency Bands , 2015, IEICE Trans. Commun..

[8]  Taeyoung Kim,et al.  Tens of Gbps support with mmWave beamforming systems for next generation communications , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

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

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

[11]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[12]  Domenick Barbiere A Method for Calculating the Current Distribution of Tschebyscheff Arrays , 1952, Proceedings of the IRE.

[13]  Steven D. Blostein,et al.  MIMO Channel Capacity in Co-Channel Interference , 2002 .

[14]  Takefumi Hiraguri,et al.  Transmission Rate by User Antenna Selection for Block Diagonalization Based Multiuser MIMO System , 2014, IEICE Trans. Commun..

[15]  Toshihiko Nishimura,et al.  High data-rate transmission with eigenbeam-space division multiplexing (E-SDM) in a MIMO channel , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

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

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

[18]  Yongming Huang,et al.  A limited feedback scheme for 3D multiuser MIMO based on Kronecker product codebook , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).