Loading [MathJax]/extensions/MathZoom.js
Hybrid Beamforming for Millimeter Wave Massive Multiuser MIMO Systems Using Regularized Channel Diagonalization | IEEE Journals & Magazine | IEEE Xplore

Hybrid Beamforming for Millimeter Wave Massive Multiuser MIMO Systems Using Regularized Channel Diagonalization


Abstract:

This letter presents a novel hybrid analog-digital beamforming design for massive multiuser MIMO downlink transmission in sparse millimeter wave channels. The proposed hy...Show More

Abstract:

This letter presents a novel hybrid analog-digital beamforming design for massive multiuser MIMO downlink transmission in sparse millimeter wave channels. The proposed hybrid regularized channel diagolnalization (HRCD) scheme combines analog (RF) phase-only beamforming with linear digital (baseband) precoding based on regularized channel diagonalization. Being a hybrid beamforming design utilizing simple non-iterative processing, HRCD provides a low complexity solution that is capable of outperforming several other hybrid schemes including those based on block diagonalization, as shown through simulations. Furthermore, it is also shown that the performance remains strong even with the use of finite-resolution phase shifters.
Published in: IEEE Wireless Communications Letters ( Volume: 8, Issue: 3, June 2019)
Page(s): 705 - 708
Date of Publication: 14 December 2018

ISSN Information:

Citations are not available for this document.

I. Introduction

Millimeter wave (mm-wave) communications and the massive MIMO technology hold the key to achieving the massive data rate requirements of the upcoming fifth generation (5G) mobile communication systems and beyond. The mm-wave spectrum offers the potential to fulfill the large bandwidth requirements of 5G services. However, transmission over the mm-wave channel poses some serious challenges as well such as heavy path losses and the sparse propagation characteristics, i.e., the availability of only a small number of channel paths between the base station (BS) and the user equipment (UE). Use of large-dimensional antenna arrays at the BS along with smaller UE arrays can provide the beamforming (BF) gain needed for acceptable signal-to-noise ratio (SNR) levels. Fortunately, the very short wavelengths of mm-waves make it a viable solution by allowing a large number of antennas to be packed within a tiny footprint [1].

Cites in Papers - |

Cites in Papers - IEEE (26)

Select All
1.
Fulai Liu, Chongyuan Li, Yuchen Wu, Luyao Suo, Ruiyan Du, "Deep Learning-Based Hybrid Precoder and Combiner Approach for MIMO-OFDM Systems", IEEE Sensors Journal, vol.25, no.5, pp.8942-8949, 2025.
2.
Fulai Liu, Baozhu Shi, Ruiyan Du, "A TPSAS-Based TSDD Hybrid Precoding Algorithm for FD-MIMO Systems", IEEE Transactions on Communications, vol.73, no.1, pp.573-585, 2025.
3.
Guanghui Chen, Zheng Wang, Yi Jia, Yongming Huang, Luxi Yang, "An Efficient Architecture Search for Scalable Beamforming Design in Cell-Free Systems", IEEE Transactions on Vehicular Technology, vol.73, no.7, pp.10241-10253, 2024.
4.
Sander Cornelis, Nele Noels, Marc Moeneclaey, "Weighted Sumrate Maximizing Hybrid Precoder for MU-MISO-OFDM", IEEE Access, vol.12, pp.30700-30722, 2024.
5.
Hsin-Hsiang Tseng, Yung-Fang Chen, Shu-Ming Tseng, "Hybrid Beamforming and Resource Allocation Designs for mmWave Multi-User Massive MIMO-OFDM Systems on Uplink", IEEE Access, vol.11, pp.133070-133085, 2023.
6.
Hsiao-feng Lu, "Near-Optimal Designs of Hybrid Precoding and Combining for Massive MIMO Systems From Lattice Decoding", IEEE Transactions on Vehicular Technology, vol.72, no.8, pp.10521-10533, 2023.
7.
Jihoon Choi, Hyukjun Oh, "Hybrid Precoding and Combining Based on Rate Balancing for Wideband mmWave Multiuser MIMO Systems", IEEE Access, vol.11, pp.12987-12999, 2023.
8.
Xin Chen, Zhiyong Luo, Congduan Li, "Robust Beamforming for Massive MIMO System with Arbitrary Array Geometry", 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT), pp.198-203, 2022.
9.
Woohyeong Park, Jihoon Choi, "Hybrid Precoding and Combining Strategy for MMSE-Based Rate Balancing in mmWave Multiuser MIMO Systems", IEEE Access, vol.10, pp.88043-88057, 2022.
10.
Fawad Ahmad, Waqas Bin Abbas, Salman Khalid, Farhan Khalid, Ibrar Khan, Fahad Aldosari, "Performance Enhancement of mmWave MIMO Systems Using Machine Learning", IEEE Access, vol.10, pp.73068-73078, 2022.
11.
Alireza Morsali, Afshin Haghighat, Benoit Champagne, "Deep Learning-Based Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems", IEEE Access, vol.10, pp.72348-72362, 2022.
12.
Shiguo Wang, Mingyue He, Jin Wang, Rong Ran, Hong Ji, Victor C. M. Leung, "A Family of Hybrid Precoding Schemes for Millimeter-Wave Massive MIMO Systems", IEEE Systems Journal, vol.16, no.3, pp.4881-4891, 2022.
13.
Woo-Hee Lim, Suwon Jang, Woohyeong Park, Jihoon Choi, "ZF-Based Downlink Hybrid Precoding and Combining for Rate Balancing in mmWave Multiuser MIMO Systems", IEEE Access, vol.9, pp.162731-162742, 2021.
14.
Shiwen He, Yan Zhang, Jiaheng Wang, Jian Zhang, Ju Ren, Yaoxue Zhang, Weihua Zhuang, Xuemin Shen, "A Survey of Millimeter-Wave Communication: Physical-Layer Technology Specifications and Enabling Transmission Technologies", Proceedings of the IEEE, vol.109, no.10, pp.1666-1705, 2021.
15.
Irfan Ahmed, Muhammad Khalil Shahid, Hedi Khammari, Mehedi Masud, "Machine Learning Based Beam Selection With Low Complexity Hybrid Beamforming Design for 5G Massive MIMO Systems", IEEE Transactions on Green Communications and Networking, vol.5, no.4, pp.2160-2173, 2021.
16.
Yu Liu, Xiujun Zhang, Shidong Zhou, "Joint Real-Time Phase Shifter Network Calibration and Beam Tracking for mmWave Communication", IEEE Wireless Communications Letters, vol.10, no.9, pp.1979-1983, 2021.
17.
Guilherme Martignago Zilli, Wei-Ping Zhu, "Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems", IEEE Transactions on Vehicular Technology, vol.70, no.6, pp.5775-5788, 2021.
18.
Irfan Ahmed, Khalil Shahid, F. Debretsion, Hedi Khammari, Khawla Alnajjar, "Energy Efficiency of Multiuser Sparse Massive MIMO System using Orthogonalized Hybrid Beamforming", 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp.1-6, 2021.
19.
Samar Ibrahim Farghaly, Hussein Eltaibee Seleem, Mustafa Mahmoud Abd-Elnaby, Amr Hussein Hussein, "Pencil and Shaped Beam Patterns Synthesis Using a Hybrid GA/l₁ Optimization and Its Application to Improve Spectral Efficiency of Massive MIMO Systems", IEEE Access, vol.9, pp.38202-38220, 2021.
20.
José P. González-Coma, Óscar Fresnedo, Luis Castedo, "Rank Constrained Precoding for the Downlink of mmWave Massive MIMO Hybrid Systems", IEEE Access, vol.9, pp.28459-28470, 2021.
21.
Yu Liu, Xiujun Zhang, Shidong Zhou, "Tracking Clustered Channels for MmWave Multiuser Mobile Communication", IEEE Wireless Communications Letters, vol.10, no.4, pp.825-829, 2021.
22.
Minghao Yuan, Hua Wang, Yiwei Sun, "BD-UCD-Based Nonlinear Hybrid Precoding for Millimeter Wave Massive Multiuser MIMO Systems", IEEE Communications Letters, vol.25, no.3, pp.1010-1014, 2021.
23.
Guilherme Martignago Zilli, Wei-Ping Zhu, "Constrained Channel Decomposition-Based Hybrid Beamforming for mmWave Massive MIMO Systems", IEEE Open Journal of the Communications Society, vol.1, pp.1707-1720, 2020.
24.
Yang Zhang, Jianhe Du, Yuanzhi Chen, Xingwang Li, Khaled M. Rabie, Rupak Kharel, "Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems", IEEE Access, vol.8, pp.129153-129168, 2020.
25.
Alireza Morsali, Afshin Haghighat, Benoit Champagne, "Generalized Framework for Hybrid Analog/Digital Signal Processing in Massive and Ultra-Massive-MIMO Systems", IEEE Access, vol.8, pp.100262-100279, 2020.
26.
Xiaoyi Cui, Qiang Li, "Hybrid Beamforming With Finite-Resolution Phase Shifters for Multiuser Millimeter-Wave Downlink", IEEE Wireless Communications Letters, vol.9, no.2, pp.219-222, 2020.

Cites in Papers - Other Publishers (13)

1.
Waleed Shahjehan, Rajkumar Singh Rathore, Syed Waqar Shah, Mohammad Aljaidi, Ali Safaa Sadiq, Omprakash Kaiwartya, "A Review on Millimeter-Wave Hybrid Beamforming for Wireless Intelligent Transport Systems", Future Internet, vol.16, no.9, pp.337, 2024.
2.
Lei Zhao, Junjie Li, Songkang Huang, Xiaoge Wu, Ming Jiang, "Low-complexity hybrid precoding for sub-connected millimeter wave massive MIMO systems", Signal Processing, pp.109381, 2024.
3.
Krupali Umaria, Shweta Shah, "Dual iterative algorithm for hybrid beamforming in mmWave downlink massive multi-user MIMO systems", Analog Integrated Circuits and Signal Processing, 2023.
4.
Bushra N. Alsunbuli, Widad Ismail, Nor M. Mahyuddin, "Convolutional neural network and Kalman filter-based accurate CSI prediction for hybrid beamforming under a minimized blockage effect in millimeter-wave 5G network", Applied Nanoscience, vol.13, no.2, pp.1539, 2023.
5.
Ran Zhang, Ye Wang, Youhong Feng, "A leakage?based hybrid beamforming design for multi?user mmWave massive MIMO systems", IET Communications, 2022.
6.
Ravilla Dilli, "Hybrid Beamforming in 5G NR Networks Using Multi User Massive MIMO at FR2 Frequency Bands", Wireless Personal Communications, 2022.
7.
Jian Liu, Xuan Yang, Qianfang Sun, Renmin Zhang, Yingjing Qian, "Hybrid Beamforming Grouping Sum-Rate Maximization Algorithm for Multiuser mmWave Massive MIMO Systems", International Journal of Digital Multimedia Broadcasting, vol.2022, pp.1, 2022.
8.
Ravilla Dilli, "Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies", International Journal of Wireless Information Networks, 2021.
9.
Muhammad Khalil Shahid, Filmon Debretsion, Aman Eyob, Irfan Ahmed, Tarig Faisal, "Energy Efficiency in 5G Communications – Conventional to Machine Learning Approaches", Journal of Telecommunications and Information Technology, vol.4, pp.1, 2021.
10.
Anthony Ngozichukwuka Uwaechia, Nor Muzlifah Mahyuddin, "A novel committee machine hybrid precoding and combining algorithm for mmWave massive MU-MIMO systems", Physical Communication, vol.46, pp.101326, 2021.
11.
Irfan Ahmed, Hedi Khammari, Fahad Alraddady, "A low complexity hybrid combiner design for the ill?conditioned multiuser mmWave massive MIMO uplink", IET Communications, vol.15, no.11, pp.1434, 2021.
12.
Ravilla Dilli, "Performance analysis of multi user massive MIMO hybrid beamforming systems at millimeter wave frequency bands", Wireless Networks, vol.27, no.3, pp.1925, 2021.
13.
Salman Khalid, Waqas Bin Abbas, Hyung Seok Kim, Muhammad Tabish Niaz, "Evolutionary Algorithm Based Capacity Maximization of 5G/B5G Hybrid Pre-Coding Systems", Sensors, vol.20, no.18, pp.5338, 2020.
Contact IEEE to Subscribe

References

References is not available for this document.