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This paper addresses channel estimation and data equalization on frequency-selective 1-bit quantized Multiple Input-Multiple Output (MIMO) systems. No joint processing or Channel State Information is assumed at the transmitter, and…

Information Theory · Computer Science 2021-03-09 Javier García , Jawad Munir , Kilian Roth , Josef A. Nossek

Channel estimation has long been deemed as one of the most critical problems in three-dimensional (3D) massive multiple-input multiple-output (MIMO), which is recognized as the leading technology that enables 3D spatial signal processing in…

Signal Processing · Electrical Eng. & Systems 2021-04-21 Lei Cheng , Qingjiang Shi

This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division duplexing based systems, which exploits the channel sparsity in…

Information Theory · Computer Science 2019-09-17 Anwen Liao , Zhen Gao , Hua Wang , Sheng Chen , Mohamed-Slim Alouini , Hao Yin

Millimeter-wave (mmWave) communications have gained attention as a key technology for high-capacity wireless systems, owing to the wide available bandwidth. However, mmWave signals suffer from their inherent characteristics such as severe…

Signal Processing · Electrical Eng. & Systems 2026-03-03 Hanyoung Park , Ji-Woong Choi

Millimeter wave (mmWave) communication is a promising solution for coping with the ever-increasing mobile data traffic because of its large bandwidth. To enable a sufficient link margin, a large antenna array employing directional…

Information Theory · Computer Science 2019-07-02 Reza Ghanaatian , Vahid Jamali , Andreas Burg , Robert Schober

This paper develops a linear minimum mean-square error (LMMSE) channel estimator for single and multicarrier systems that takes advantage of the mutual coupling in antenna arrays. We model the mutual coupling through multiport networks and…

Information Theory · Computer Science 2023-04-18 Bamelak Tadele , Volodymyr Shyianov , Faouzi Bellili , Amine Mezghani

This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input multiple-output (MIMO) system. Each receive antenna of the base station (BS) is assumed to be equipped with a pair of…

Information Theory · Computer Science 2017-08-02 Yongzhi Li , Cheng Tao , Gonzalo Seco-Granados , Amine Mezghani , A. Lee Swindlehurst , Liu Liu

In this paper, we propose a novel channel estimation algorithm based on the Least Square Estimation (LSE) and Sparse Message Passing algorithm (SMP), which is of special interest for Millimeter Wave (mmWave) systems, since this algorithm…

Information Theory · Computer Science 2016-09-13 Chongwen Huang , Lei Liu , Chau Yuen , Sumei Sun

In this paper, we propose a feedback-efficient hybrid precoding framework for wideband millimeter-wave (mmWave) multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To mitigate the high cost of…

Information Theory · Computer Science 2026-05-05 Po-Heng Chou , Jia-Qing Lin , Wan-Jen Huang , Ronald Y. Chang

In order to cope with the large path-loss exponent of mm-Wave channels, a high beamforming gain is needed. This can be achieved with small hardware complexity and high hardware power efficiency by Hybrid Digital-Analog (HDA) beamforming,…

Information Theory · Computer Science 2016-02-10 Saeid Haghighatshoar , Giuseppe Caire

We propose equalization-based data detection algorithms for all-digital millimeter-wave (mmWave) massive multiuser multiple-input multiple-out (MU-MIMO) systems that exploit sparsity in the beamspace domain to reduce complexity. We provide…

Signal Processing · Electrical Eng. & Systems 2020-03-19 Seyed Hadi Mirfarshbafan , Christoph Studer

Recently, intelligent reflecting surface (IRS)-assisted communication has gained considerable attention due to its advantage in extending the coverage and compensating the path loss with low-cost passive metasurface. This paper considers…

Signal Processing · Electrical Eng. & Systems 2023-10-03 Silei Wang , Qiang Li , Jingran Lin

Millimeter wave (mmWave) full-duplex (FD) is a promising technique for improving capacity by maximizing the utilization of both time and the rich mmWave frequency resources. Still, it has restrictions due to FD self-interference (SI) and…

Information Theory · Computer Science 2023-03-28 Songjie Yang , Wanting Lyu , Yunis Xanthos , Zhongpei Zhang , Chadi Assi , Chau Yuen

Large-scale multiple-antenna systems with large bandwidth are fundamental for future wireless communications, where the base station employs a large antenna array. In this scenario, one problem faced is the large energy consumption as the…

Information Theory · Computer Science 2020-05-19 Z. Shao , L. Landau , R. C. de Lamare

Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications. Channel estimators that require knowledge of the array…

Information Theory · Computer Science 2024-10-30 Rui Hu , Jun Tong , Jiangtao Xi , Qinghua Guo , Yanguang Yu

We investigate a general channel estimation problem in the massive multiple-input multiple-output (MIMO) system which employs the hybrid analog/digital precoding structure with limited radio-frequency (RF) chains. By properly designing RF…

Information Theory · Computer Science 2017-12-27 Leyuan Pan , Le Liang , Wei Xu , Xiaodai Dong

This paper investigates the problem of estimating sparse channels in massive MIMO systems. Most wireless channels are sparse with large delay spread, while some channels can be observed having sparse common support (SCS) within a certain…

Information Theory · Computer Science 2017-04-24 Zhengdao Yuan , Chuanzong Zhang , Zhongyong Wang , Qinghua Guo

The multi-panel array, as a state-of-the-art antenna-in-package technology, is very suitable for millimeter-wave (mmWave)/terahertz (THz) systems, due to its low-cost deployment and scalable configuration. But in the context of nonuniform…

Information Theory · Computer Science 2022-09-13 Hanlin Xiu , Zhen Gao , Anwen Liao , Yikun Mei , Dezhi Zheng , Shufeng Tan , Marco Di Renzo , Lajos Hanzo

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technique for the future 5G wireless communications. Due to a large number of antennas but a much smaller number of radio frequency…

Information Theory · Computer Science 2017-10-31 Anwen Liao , Zhen Gao , Yongpeng Wu , Hua Wang , Mohamed-Slim Alouini

This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna systems that require minimal cost and power. Previous studies…

Information Theory · Computer Science 2016-05-04 Chao-Kai Wen , Chang-Jen Wang , Shi Jin , Kai-Kit Wong , Pangan Ting