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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

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

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

We consider the problem of channel estimation for uplink multiuser massive MIMO systems, where, in order to significantly reduce the hardware cost and power consumption, one-bit analog-to-digital converters (ADCs) are used at the base…

Information Theory · Computer Science 2017-04-18 Feiyu Wang , Jun Fang , Hongbin Li , Shaoqian Li

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

Accurate channel estimation is essential for achieving the performance gains offered by reconfigurable intelligent surface (RIS)-aided wireless communications. A variety of channel estimation methods have been proposed for such systems;…

Signal Processing · Electrical Eng. & Systems 2022-01-25 Sumin Jeong , Arman Farhang , Nemanja Stefan Perović , Mark Flanagan

Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with…

Information Theory · Computer Science 2015-06-18 Ahmed Alkhateeb , Omar El Ayach , Geert Leus , Robert W. Heath

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

The problem of MIMO channel estimation at millimeter wave frequencies, both in a single-user and in a multi-user setting, is tackled in this paper. Using a subspace approach, we develop a protocol enabling the estimation of the right (resp.…

Information Theory · Computer Science 2019-06-24 Stefano Buzzi , Carmen D'Andrea

This paper addresses a simplified frequency offset estimator for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over frequency selective fading channels. By exploiting the good correlation…

Information Theory · Computer Science 2017-03-22 Yanxiang Jiang , Hlaing Minn , Xiaohu You , Xiqi Gao

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

Millimeter wave (mmWave) systems operating over a wide bandwidth and using a large number of antennas impose a heavy burden on power consumption. In a massive multiple-input multiple-output (MIMO) uplink, analog-to-digital con- verters…

Information Theory · Computer Science 2017-02-28 Jinseok Choi , Brian L. Evans , Alan Gatherer

In massive multiple-input multiple-output (MIMO) systems, acquisition of the channel state information at the transmitter side (CSIT) is crucial. In this paper, a practical CSIT estimation scheme is proposed for frequency division duplexing…

Networking and Internet Architecture · Computer Science 2016-10-13 Zhiyi Zhou , Xu Chen , Dongning Guo , Michael L. Honig

Millimeter wave (mmWave) massive multiple-input multiple-output (massive MIMO) is one of the most promising technologies for the fifth generation and beyond wireless communication system. However, a large number of antennas incur high power…

Information Theory · Computer Science 2023-01-27 Ruizhe Wang , Hong Ren , Cunhua Pan , Jun Fang , Mianxiong Dong , Octavia A. Dobre

High resolution analog to digital converters (ADCs) are conventionally used at the receiver terminals to store an accurate digital representation of the received signal, thereby allowing for reliable decoding of transmitted messages.…

Information Theory · Computer Science 2021-12-07 Abbas Khalili , Farhad Shirani , Elza Erkip , Yonina C. Eldar

Adopting one-bit analog-to-digital convertors (ADCs) for massive multiple-input multiple-output (MIMO) implementations has great potential in reducing the hardware cost and power consumption. However, distortions caused by quantization…

Information Theory · Computer Science 2021-02-12 Mingjie Shao , Wing-Kin Ma

We present an analytical framework for the channel estimation and the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs) and i.i.d. Rayleigh fading. First, we provide…

Information Theory · Computer Science 2021-11-17 Italo Atzeni , Antti Tölli

In spatially distributed multiuser antenna systems, the received signal contains multiple carrier-frequency offsets (CFOs) arising from mismatch between the oscillators of transmitters and receivers. This results in a time-varying rotation…

Information Theory · Computer Science 2007-07-13 Yuanning Yu , Athina P. Petropulu , H. Vincent Poor

Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multiple-output (MIMO) systems. To resolve these difficulties,…

Information Theory · Computer Science 2022-01-03 Yalin Wang , Xihan Chen , Yunlong Cai , Benoit Champagne , Lajos Hanzo

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