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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

Although it is often used in the orthogonal frequency division multiplexing (OFDM) systems, application of massive multiple-input multiple-output (MIMO) over the orthogonal time frequency space (OTFS) modulation could suffer from enormous…

Signal Processing · Electrical Eng. & Systems 2020-03-17 Yushan Liu , Shun Zhang , Feifei Gao , Jianpeng Ma , Xianbin Wang

The focus of this letter is on the reduction of the large pilot overhead in orthogonal frequency division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) systems. We propose a novel joint channel estimation and…

Information Theory · Computer Science 2022-12-16 Danilo Lelin Li , Arman Farhang

By means of the emerging technique of dynamic Time Division Duplex (TDD), the switching point between uplink and downlink transmissions can be optimized across a multi-cell system in order to reduce the impact of inter-cell interference. It…

Information Theory · Computer Science 2015-05-07 A. M. Fouladgar , O. Simeone , O. Sahin , P. Popovski , S. Shamai

The use of large-scale antenna systems in future commercial wireless communications is an emerging technology that uses an excess of transmit antennas to realize high spectral efficiency. Achieving potential gains with large-scale antenna…

Information Theory · Computer Science 2015-07-21 Song Noh , Michael D. Zoltowski , David J. Love

Channel state information (CSI) at the base station (BS) is crucial to achieve beamforming and multiplexing gains in multiple-input multiple-output (MIMO) systems. State-of-the-art limited feedback schemes require feedback overhead that…

Information Theory · Computer Science 2018-10-17 Panos N. Alevizos , Xiao Fu , Nicholas D. Sidiropoulos , Yang Ye , Aggelos Bletsas

Multiple-input-multiple-output (MIMO) systems of current LTE releases are capable of adaptation in the azimuth only. Recently, the trend is to enhance system performance by exploiting the channel's degrees of freedom in the elevation, which…

Information Theory · Computer Science 2016-04-21 Qurrat-Ul-Ain Nadeem , Abla Kammoun , Merouane Debbah , Mohamed-Slim Alouini

This paper optimizes the beamforming design of a downlink multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system to maximize the weighted communication sum-rate under a prescribed transmit covariance…

Signal Processing · Electrical Eng. & Systems 2023-09-18 Chenhao Yang , Xin Wang , Wei Ni , Yi Jiang

In this paper, we consider a two-cell interfering two-user multiple-input multiple-output multiple access channel (MIMO-MAC) with limited feedback. We first investigate the multiplexing gain of such channel when users have perfect channel…

Information Theory · Computer Science 2010-10-06 Namyoon Lee , Wonjae Shin , Bruno Clerckx

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

As intelligent reflecting surface (IRS) has emerged as a new and promising technology capable of configuring the wireless environment favorably, channel estimation for IRS-assisted multiple-input multiple-output (MIMO) systems has garnered…

Information Theory · Computer Science 2025-12-22 Zhen Qin , Zhihui Zhu

The acquisition of channel state information (CSI) in Frequency Division Duplex (FDD) massive MIMO has been a formidable challenge. In this paper, we address this problem with a novel CSI feedback framework enabled by the partial…

Information Theory · Computer Science 2022-01-27 Haifan Yin , David Gesbert

Massive multiple-input multiple-output (MIMO) systems achieve high sum spectral efficiency by offering an order of magnitude increase in multiplexing gains. In time division duplexing systems, however, the reuse of uplink training pilots…

Information Theory · Computer Science 2016-10-14 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

Channel reciprocity can significantly reduce the overhead of obtaining channel-state information at the transmitter (CSIT). However, true reciprocity only exists in time division duplex (TDD). In this paper, we propose a novel tracking…

Signal Processing · Electrical Eng. & Systems 2023-05-03 Rei Richter , Itsik Bergel , Yair Noam , Ephi Zehavi

Multiple input multiple output (MIMO) system transmission is a popular diversity technique to improve the reliability of a communication system where transmitter, communication channel and receiver are the important elements. Data…

Signal Processing · Electrical Eng. & Systems 2020-05-06 Subrato Bharati , Prajoy Podder , Niketa Gandhi , Ajith Abraham

On the time-varying channel estimation, the traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise vector, which is dependent on DL channel covariance matrix…

Information Theory · Computer Science 2019-05-08 Muye Li , Shun Zhang , Nan Zhao , Weile Zhang , Xianbin Wang

Obtaining down link (DL) channel state information (CSI) at the base station (BS) is challenging for frequencydivision-duplex (FDD) massive MIMO (MM) systems. Considerable overhead is required for DL training and feedback. Instead studies…

Information Theory · Computer Science 2020-11-17 Patrick C. F. Eggers , Stanislav S. Zhekov

To get channel state information (CSI) at a base station (BS), most of researches on massive multiple-input multiple-output (MIMO) systems consider time division duplexing (TDD) to get benefit from the uplink and downlink channel…

Information Theory · Computer Science 2022-06-28 Hyeongtaek Lee , Hyuckjin Choi , Hwanjin Kim , Sucheol Kim , Chulhee Jang , Yongyun Choi , Junil Choi

This thesis considers channel estimation and multiuser (MU) data transmission for massive MIMO systems with fully digital/hybrid structures in mmWave channels. It contains three main contributions. In this thesis, we first propose a…

Information Theory · Computer Science 2018-12-03 Lou Zhao

Massive multiple input and multiple output (MIMO) systems with orthogonal frequency division multiplexing (OFDM) are foundational for downlink multi-user (MU) communication in future wireless networks, for their ability to enhance spectral…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Erdeng Zhang , Shuntian Zheng , Sheng Wu , Haoge Jia , Zhe Ji , Ailing Xiao