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Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple users simultaneously without causing severe interference.…

Information Theory · Computer Science 2019-02-19 Yu Han , Qi Liu , Chao-Kai Wen , Shi Jin , Kai-Kit Wong

We consider the problem of estimating channel fading coefficients (modeled as a correlated Gaussian vector) via Downlink (DL) training and Uplink (UL) feedback in wideband FDD massive MIMO systems. Using rate-distortion theory, we derive…

Information Theory · Computer Science 2022-02-04 Mahdi Barzegar Khalilsarai , Yi Song , Tianyu Yang , Giuseppe Caire

Pilot contamination has been regarded as the main bottleneck in time division duplexing (TDD) multi-cell massive multiple-input multiple-output (MIMO) systems. The pilot contamination problem cannot be addressed with large-scale antenna…

Signal Processing · Electrical Eng. & Systems 2017-11-10 Xun Zou , Hamid Jafarkhani

In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information, especially in the frequency division duplex mode. To…

Signal Processing · Electrical Eng. & Systems 2020-09-04 Yindi Yang , Shun Zhang , Feifei Gao , Chao Xu , Jianpeng Ma , Octavia A. Dobre

This letter proposes anti-jamming strategies based on pilot retransmission for a single user uplink massive MIMO under jamming attack. A jammer is assumed to attack the system both in the training and data transmission phases. We first…

Information Theory · Computer Science 2016-11-28 Tan Tai Do , Hien Quoc Ngo , Trung Q. Duong , Tobias J. Oechtering , Mikael Skoglund

In this paper we address a sum secrecy rate maximization problem for a multi-carrier and MIMO communication system. We consider the case that the receiver is capable of full-duplex (FD) operation and simultaneously sends jamming signal to a…

Information Theory · Computer Science 2018-02-19 Tianyu Yang , Omid Taghizadeh , Rudolf Mathar

We derive novel bounds for the performance of algorithms that estimate the downlink covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. The focus is…

Signal Processing · Electrical Eng. & Systems 2018-08-02 Renato Luis Garrido Cavalcante , Lorenzo Miretti , Slawomir Stanczak

We study downlink channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in time-division duplex. The users must know their effective channel gains to decode their received downlink data. Previous…

Information Theory · Computer Science 2021-11-30 Amin Ghazanfari , Trinh Van Chien , Emil Björnson , Erik G. Larsson

Massive multiple-input multiple-output (MIMO) is believed to deliver unrepresented spectral efficiency gains for 5G and beyond. However, a practical challenge arises during its commercial deployment, which is known as the ``curse of…

Information Theory · Computer Science 2022-05-27 Ziao Qin , Haifan Yin , Yandi Cao , Weidong Li , David Gesbert

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

In this paper, we study Full Duplex (FD) Multiple-Input Multiple-Output (MIMO) radios for simultaneous data communication and control information exchange. Capitalizing on a recently proposed FD MIMO architecture combining digital transmit…

Information Theory · Computer Science 2020-03-17 Md Atiqul Islam , George C. Alexandropoulos , Besma Smida

When operating massive multiple-input multiple-output (MIMO) systems with uplink (UL) and downlink (DL) channels at different frequencies (frequency division duplex (FDD) operation), acquisition of channel state information (CSI) for…

Information Theory · Computer Science 2022-09-23 Florian Euchner , Niklas Süppel , Marc Gauger , Sebastian Dörner , Stephan ten Brink

In this work, we address the challenge of accurately obtaining channel state information at the transmitter (CSIT) for frequency division duplexing (FDD) multiple input multiple output systems. Although CSIT is vital for maximizing spatial…

Signal Processing · Electrical Eng. & Systems 2024-06-25 Sajad Daei , Mikael Skoglund , Gabor Fodor

A critical hindrance in realizing frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems is the overhead associated with the downlink (DL) channel state information at the transmitter (CSIT) acquisition. To address…

Information Theory · Computer Science 2024-11-19 Namhyun Kim , Ian P. Roberts , Jeonghun Park

Transmitter channel state information (CSIT) is indispensable for the spectral efficiency gains offered by massive multiple-input multiple-output (MIMO) systems. In a frequency-division-duplexing (FDD) massive MIMO system, CSIT is typically…

Information Theory · Computer Science 2023-02-10 Deokhwan Han , Jeonghun Park , Namyoon Lee

We consider a massive MU-MIMO downlink time-division duplex system where a base station (BS) equipped with many antennas serves several single-antenna users in the same time-frequency resource. We assume that the BS uses linear precoding…

Information Theory · Computer Science 2013-10-08 Hien Quoc Ngo , Erik G. Larsson , Thomas L. Marzetta

This paper proposes a model-driven deep learning-based downlink channel reconstruction scheme for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The spatial non-stationarity, which is the key feature of…

Information Theory · Computer Science 2020-02-25 Yu Han , Mengyuan Li , Shi Jin , Chao-Kai Wen , Xiaoli Ma

We consider joint channel estimation and faulty antenna detection for massive multiple-input multiple-output (MIMO) systems operating in time-division duplexing (TDD) mode. For systems with faulty antennas, we show that the impact of faulty…

Information Theory · Computer Science 2017-09-21 Peng Zhang , Lu Gan , Cong Ling , Sumei Sun

In massive multiple-input multiple-output (MIMO) systems, the downlink transmission performance heavily relies on accurate channel state information (CSI). Constrained by the transmitted power, user equipment always transmits sounding…

Signal Processing · Electrical Eng. & Systems 2024-10-23 Yiming Zhu , Jiawei Zhuang , Gangle Sun , Hongwei Hou , Li You , Wenjin Wang

In this paper, we study the benefits of full-duplex (FD) receiver jamming in enhancing the physical-layer security of a two-tier decentralized wireless network with each tier deployed with a large number of pairs of a single-antenna…

Information Theory · Computer Science 2016-11-15 Tong-Xing Zheng , Hui-Ming Wang , Qian Yang , Moon Ho Lee