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The combination of Terahertz (THz) and massive multiple-input multiple-output (MIMO) is promising to meet the increasing data rate demand of future wireless communication systems thanks to the huge bandwidth and spatial degrees of freedom.…

Information Theory · Computer Science 2024-08-14 Jiabao Gao , Xiaoming Cheng , Geoffrey Ye Li

We consider a time division duplex (TDD) $n_t \times n_r$ multiple-input multiple-output (MIMO) system with channel state information (CSI) at both the transmitter and receiver. We propose X- and Y-Codes to achieve high multiplexing and…

Information Theory · Computer Science 2009-12-11 Saif Khan Mohammed , Emanuele Viterbo , Yi Hong , Ananthanarayanan Chockalingam

Channel estimation is one of the key issues in practical massive multiple-input multiple-output (MIMO) systems. Compared with conventional estimation algorithms, deep learning (DL) based ones have exhibited great potential in terms of…

Information Theory · Computer Science 2021-08-24 Jiabao Gao , Mu Hu , Caijun Zhong , Geoffrey Ye Li , Zhaoyang Zhang

In this paper, downlink (DL) precoding and power allocation strategies are identified for a time-division-duplex (TDD) multi-cell multi-user massive Full-Dimension MIMO (FD-MIMO) network. Utilizing channel reciprocity, DL channel state…

Information Theory · Computer Science 2018-09-27 Rubayet Shafin , Lingjia Liu

In this paper, we propose a novel method for efficient implementation of a massive Multiple-Input Multiple-Output (massive MIMO) system with Frequency Division Duplexing (FDD) operation. Our main objective is to reduce the large overhead…

Information Theory · Computer Science 2017-10-24 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

This paper investigates downlink channel estimation in frequency-division duplex (FDD)-based massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink feedback in FDD systems,…

Information Theory · Computer Science 2016-08-24 Yinsheng Liu , Yinjun Liu , Qimei Cui , Riku Jantti

The downlink transmission in multi-user multiple-input multiple-output (MIMO) systems has been extensively studied from both communication-theoretic and information-theoretic perspectives. Most of these papers assume perfect/imperfect…

Information Theory · Computer Science 2008-05-05 Jubin Jose , Alexei Ashikhmin , Phil Whiting , Sriram Vishwanath

Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-ouput (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hardware cost and power consumption compared to its full-RF…

Information Theory · Computer Science 2020-11-26 Chenghao Feng , Wenqian Shen , Xinyu Gao , Jianping An , Lajos Hanzo

The fundamental diversity-multiplexing tradeoff of the three-node, multi-input, multi-output (MIMO), quasi-static, Rayleigh faded, half-duplex relay channel is characterized for an arbitrary number of antennas at each node and in which…

Information Theory · Computer Science 2011-07-01 Sanjay Karmakar , Mahesh K. Varanasi

Recent applications of the Full Duplex (FD) technology focus on enabling simultaneous control communication and data transmission to reduce the control information exchange overhead, which impacts end-to-end latency and spectral efficiency.…

Information Theory · Computer Science 2021-09-17 Md Atiqul Islam , George C. Alexandropoulos , Besma Smida

In this work, we present new results for the application of rate splitting multiple access (RSMA) to the downlink (DL) of a massive multiple-input-multiple-output (MaMIMO) system operating in frequency-division-duplex (FDD) mode. Due to the…

Signal Processing · Electrical Eng. & Systems 2023-01-31 Donia Ben Amor , Michael Joham , Wolfgang Utschick

Future multi-input multi-output (MIMO) wireless communications systems will use beamforming as a first-step towards realizing the capacity requirements necessitated by the exponential increase in data demands. The focus of this work is on…

Information Theory · Computer Science 2017-07-27 Dennis Ogbe , David J. Love , Vasanthan Raghavan

We address the problem of analyzing and classifying in groups the downlink channel environment in a millimeter-wavelength cell, accounting for path loss, multipath fading, and User Equipment (UE) blocking, by employing a hybrid propagation…

Information Theory · Computer Science 2020-02-06 Thomas Ketseoglou , Matthew. C. Valenti , Ender Ayanoglu

We consider the Massive Multiple-Input Multiple-Output (MIMO) downlink with maximum-ratio and zero-forcing processing and time-division duplex (TDD) operation. To decode, the terminals must know their instantaneous effective channel gain.…

Information Theory · Computer Science 2016-12-28 Hien Quoc Ngo , Erik G. Larsson

This paper proposes a new transmission strategy for the multiuser massive multiple-input multiple-output (MIMO) systems, including uplink/downlink channel estimation and user scheduling for data transmission. A discrete Fourier transform…

Information Theory · Computer Science 2016-01-12 Hongxiang Xie , Feifei Gao , Shun Zhang , Shi Jin

In this paper, a novel covariance-based channel feedback mechanism is investigated for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The concept capitalizes on the notion of user statistical…

Information Theory · Computer Science 2019-10-08 Shuang Qiu , David Gesbert , Da Chen , Tao Jiang

Recently, channel extrapolation has been widely investigated in frequency division duplex (FDD) massive MIMO systems. However, in time division duplex (TDD) fifth generation (5G) new radio (NR) systems, the channel extrapolation problem…

Signal Processing · Electrical Eng. & Systems 2023-10-16 Yubo Wan , An Liu

In this letter, we proposed a shared-antenna full-duplex massive MIMO model for the multiuser MIMO system. This model exploits a single antenna array at the base station (BS) to transmit and receive the signals simultaneously. It has the…

Information Theory · Computer Science 2015-10-02 Pengbo Xing , Ju Liu , Chao Zhai , Xinhua Wang , Lina Zheng

In moderate- to high-mobility scenarios, CSI varies rapidly and becomes temporally non-stationary, leading to severe performance degradation in the massive MIMO transmissions. To address this issue, we propose a tensor-structured approach…

Signal Processing · Electrical Eng. & Systems 2025-04-15 Hongwei Hou , Yafei Wang , Yiming Zhu , Xinping Yi , Wenjin Wang , Dirk T. M. Slock , Shi Jin

Communications in high-mobility environments have caught a lot of attentions recently. In this paper, fast time-varying channels for massive multiple-input multiple-output (MIMO) systems are addressed. We derive the exact channel power…

Signal Processing · Electrical Eng. & Systems 2019-07-02 Yinghao Ge , Weile Zhang , Feifei Gao , Shun Zhang , Xiaoli Ma
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