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Millimeter Wave (mmWave) massive Multiple Input Multiple Output (MIMO) systems realizing directive beamforming require reliable estimation of the wireless propagation channel. However, mmWave channels are characterized by high variability…

Information Theory · Computer Science 2019-06-07 Evangelos Vlachos , George C. Alexandropoulos , John Thompson

Channel estimation is challenging for millimeter-wave (mmWave) massive MIMO with hybrid precoding, since the number of radio frequency (RF) chains is much smaller than that of antennas. Conventional compressive sensing based channel…

Information Theory · Computer Science 2018-07-10 Chen Hu , Linglong Dai , Talha Mir , Zhen Gao , Jun Fang

We propose super-resolution MIMO channel estimators for millimeter-wave (mmWave) systems that employ hybrid analog and digital beamforming and generalized spatial modulation, respectively. Exploiting the inherent sparsity of mmWave…

Information Theory · Computer Science 2018-01-24 Hongyun Chu , Le Zheng , Xiaodong Wang

Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method…

Information Theory · Computer Science 2016-06-28 Hadi Ghauch , Taejoon Kim , Mats Bengtsson , Mikael Skoglund

In this paper, we study blind channel-and-signal estimation by exploiting the burst-sparse structure of angular-domain propagation channels in massive MIMO systems. The state-of-the-art approach utilizes the structured channel sparsity by…

Information Theory · Computer Science 2019-09-04 Hang Liu , Xiaojun Yuan , Ying-Jun Angela Zhang

In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision analog-to-digital converters (ADCs). To design channel…

Signal Processing · Electrical Eng. & Systems 2018-09-13 Yucheng Wang , Wei Xu , Hua Zhang , Xiaohu You

Millimeter wave multiple-input multiple-output (MIMO) communication systems must operate over sparse wireless links and will require large antenna arrays to provide high throughput. To achieve sufficient array gains, these systems must…

Signal Processing · Electrical Eng. & Systems 2019-04-17 Wei Zhang , Taejoon Kim , David J. Love

In mmWave massive multiple-input multiple-output (mMIMO) systems, hybrid digital/analog beamforming has been recognized as an economic means to overcome the severe mmWave propagation loss. To facilitate beamforming for mmWace mMIMO, there…

Signal Processing · Electrical Eng. & Systems 2019-12-19 Shijian Gao , Xiang Cheng , Liuqing Yang

The high path loss associated with millimeter wave (mmWave) frequency communication can be compensated by large scale antenna arrays such as multiple-input multiple-output (MIMO) systems. The hybrid beamforming architecture which uses fewer…

Signal Processing · Electrical Eng. & Systems 2022-11-17 Evangelos Vlachos , Aryan Kaushik , Muhammad Z. Shakir

This paper proposes a channel estimation method for hybrid wideband multiple-input-multiple-output (MIMO) systems in high-frequency bands, including millimeter-wave (mmWave) and sub-terahertz (sub-THz), in the presence of beam squint…

Signal Processing · Electrical Eng. & Systems 2025-06-17 Kabuto Arai , Koji Ishibashi

In this paper, a framework of beamspace channel estimation in millimeter wave (mmWave) massive MIMO system is proposed. The framework includes the design of hybrid precoding and combining matrix as well as the search method for the largest…

Signal Processing · Electrical Eng. & Systems 2019-01-08 Wenyan Ma , Chenhao Qi

Training beam design for channel estimation with infinite-resolution and low-resolution phase shifters (PSs) in hybrid analog-digital milimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems is considered in this paper.…

Signal Processing · Electrical Eng. & Systems 2025-06-03 Xiaochun Ge , Wenqian Shen , Chengwen Xing , Lian Zhao , Jianping An

We address the problem of fast time-varying channel estimation in millimeter-wave (mmWave) MIMO systems with imperfect channel state information (CSI) and facilitate efficient channel reconstruction. Specifically, leveraging the low-rank…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Tianyu Jiang , Yan Yang , Hongjin Liu , Runyu Han , Bo Ai , Mohsen Guizani

Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and combiners, though, is usually based on knowledge of the channel. Prior work on…

Information Theory · Computer Science 2016-11-15 Kiran Venugopal , Ahmed Alkhateeb , Nuria González Prelcic , Robert W. Heath

Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that of antennas. To date, several channel estimation schemes…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Chen Hu , Zhaocheng Wang

Millimeter-wave massive MIMO with lens antenna array can considerably reduce the number of required radio-frequency (RF) chains by beam selection. However, beam selection requires the base station to acquire the accurate information of…

Information Theory · Computer Science 2017-08-28 Xinyu Gao , Linglong Dai , Shuangfeng Han , Chih-Lin I , Xiaodong Wang

Millimeter (mm) wave massive MIMO has the potential for delivering orders of magnitude increases in mobile data rates, with compact antenna arrays providing narrow steerable beams for unprecedented levels of spatial reuse. A fundamental…

Signal Processing · Electrical Eng. & Systems 2018-12-05 Maryam Eslami Rasekh , Upamanyu Madhow

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

In this paper, a channel estimator for wideband millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with hybrid architectures and low-resolution analog-to-digital converters (ADCs) is proposed. To account for the…

Signal Processing · Electrical Eng. & Systems 2022-07-14 In-soo Kim , Junil Choi
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