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Canonical Massive MIMO uses time division duplex (TDD) to exploit channel reciprocity within the coherence time, avoiding feedback of channel state information (CSI), as is required for precoding at the base station. We extend the idea of…

Information Theory · Computer Science 2018-04-18 Maximilian Arnold , Xiaojie Wang , Stephan ten Brink

This paper presents a mutual coupling based calibration method for time-division-duplex massive MIMO systems, which enables downlink precoding based on uplink channel estimates. The entire calibration procedure is carried out solely at the…

Information Theory · Computer Science 2017-02-22 Joao Vieira , Fredrik Rusek , Ove Edfors , Steffen Malkowsky , Liang Liu , Fredrik Tufvesson

In order to unlock the full advantages of massive multiple input multiple output (MIMO) in the downlink, channel state information (CSI) is required at the base station (BS) to optimize the beamforming matrices. In frequency division duplex…

Information Theory · Computer Science 2021-07-09 Yusha Liu , Osvaldo Simeone

This paper considers an uplink cellular system, in which each base station (BS) is equipped with a large number of antennas to serve multiple single-antenna user equipments (UEs) simultaneously. Uplink training with pilot reusing is adopted…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi zhang , Cong Shen

In this paper, we propose a new channel estimation scheme for TDD/FDD massive MIMO systems by reconstructing uplink/downlink channel covariance matrices (CCMs) with the aid of array signal processing techniques. Specifically, the angle…

Information Theory · Computer Science 2017-10-03 Hongxiang Xie , Feifei Gao , Shi Jin , Jun Fang , Ying-Chang Liang

Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the performance of cellular networks. Massive MIMO has the…

Signal Processing · Electrical Eng. & Systems 2018-04-18 Yan Huang , Brian Jalaian , Stephen Russell , Hooman Samani

One of the biggest challenges in operating massive multiple-input multiple-output systems is the acquisition of accurate channel state information at the transmitter. To take up this challenge, time division duplex is more favorable thanks…

Information Theory · Computer Science 2024-10-30 Xiwen Jiang , Alexis Decurninge , Kalyana Gopala , Florian Kaltenberger , Maxime Guillaud , Dirk Slock , Luc Deneire

We present a framework for joint amplification and phase shift optimization of the repeater gain in dynamic time-division duplex (TDD) repeater-assisted massive MIMO networks. Repeaters, being active scatterers with amplification and phase…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Martin Andersson , Anubhab Chowdhury , Erik G. Larsson

Non-linear transceivers and non-reciprocity of downlink and uplink channels are two major challenges in the deployment of massive multiple-input-multiple-output (MIMO) systems. We consider an over-the-air (OTA) approach for digital…

Signal Processing · Electrical Eng. & Systems 2025-08-26 Ashkan Sheikhi , Ove Edfors , Juan Vidal Alegría

Large-scale distributed Multiuser MIMO (MU-MIMO) is a promising wireless network architecture that combines the advantages of "massive MIMO" and "small cells." It consists of several Access Points (APs) connected to a central server via a…

Networking and Internet Architecture · Computer Science 2015-04-02 Ryan Rogalin , Ozgun Bursalioglu , Haralabos Papadopoulos , Giuseppe Caire , Andreas Molisch , Antonios Michaloliakos , Vlad Balan , Konstantinos Psounis

Massive multiple-input multiple-output (MIMO) is one of the key technologies in future generation networks. Owing to their considerable spectral and energy efficiency gains, massive MIMO systems provide the needed performance to cope with…

Information Theory · Computer Science 2017-10-09 Salah Eddine Hajri , Mohamad Assaad , Maialen Larrañaga

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

We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

Information Theory · Computer Science 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

Massive multi-input multi-output (Massive MIMO) has been recognized as a key technology to meet the demand for higher data capacity and massive connectivity. Nevertheless, the number of active users is restricted due to training overhead…

Information Theory · Computer Science 2018-03-19 Salah Eddine Hajri , Maialen Larrañaga , Mohamad Assaad

The communication between a multiple-antenna transmitter and multiple receivers (users) with either a single or multiple-antenna each can be significantly enhanced by providing the channel state information at the transmitter (CSIT) of the…

Information Theory · Computer Science 2009-11-05 Umer Salim , David Gesbert , Dirk Slock

Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition. In the current communication architecture, the downlink…

Information Theory · Computer Science 2022-08-26 Muhammad Karam Shehzad , Luca Rose , Stefan Wesemann , Mohamad Assaad , Syed Ali Hassan

Knowledge of second-order statistics of channels (e.g. in the form of covariance matrices) is crucial for the acquisition of downlink channel state information (CSI) in massive MIMO systems operating in the frequency division duplexing…

Signal Processing · Electrical Eng. & Systems 2019-10-25 Lorenzo Miretti , Renato L. G. Cavalcante , Slawomir Stanczak

Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel…

Information Theory · Computer Science 2016-02-19 Alexis Decurninge , Maxime Guillaud , Dirk Slock

This paper addresses the problem of uplink transmit power optimization in distributed massive multiple-input multiple-output systems, where remote radio heads (RRHs) are equipped with 1-bit analog-to-digital converters (ADCs). First, in a…

Signal Processing · Electrical Eng. & Systems 2024-07-23 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

In frequency division duplex (FDD) massive MIMO systems, a major challenge lies in acquiring the downlink channel state information}\ (CSI) at the base station (BS) from limited feedback sent by the user equipment (UE). To tackle this…

Signal Processing · Electrical Eng. & Systems 2025-09-11 Rajesh Shrestha , Mingjie Shao , Mingyi Hong , Wing-Kin Ma , Xiao Fu