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Related papers: Downlink Massive MU-MIMO with Successively-Regular…

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In this paper, we consider massive multiple-input multiple-output (MIMO) systems for both downlink and uplink scenarios, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at the…

Information Theory · Computer Science 2016-11-17 Yeon-Geun Lim , Chan-Byoung Chae , Giuseppe Caire

Cell-free Massive multiple-input multiple-output (MIMO) ensures ubiquitous communication at high spectral efficiency (SE) thanks to increased macro-diversity as compared cellular communications. However, system scalability and performance…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

In this paper we first derived the mathematical expression for lower bound spectral efficiency (SE) calculation for zero-force (ZF), and minimum mean square error (MMSE). Secondly, we calculated the simulation SE with three algorithms for…

Signal Processing · Electrical Eng. & Systems 2019-02-14 Tasher Ali Sheikh , Joyatri Bora , Md. Anwar Hussain

In this paper, we propose network massive multiple- input multiple-output (MIMO) systems, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at a cell-boundary through the same radio…

Information Theory · Computer Science 2012-09-20 Changwoo Lee , Chan-Byoung Chae , Taehyung Kim , Sooyong Choi , Juho Lee

We consider the Multiple Input Single Output (MISO) Gaussian Broadcast channel with $N_t$ antennas at the base station (BS) and $N_u$ single-antenna users in the downlink. We propose a novel user grouping precoder which improves the sum…

Information Theory · Computer Science 2016-11-17 Saif Khan Mohammed , Erik G. Larsson

Recently, a structure of an optimal linear precoder for multi cell downlink systems has been described in [1, Eq (3.33)]. Other references (e.g., [2,3]) have used simplified versions of the precoder to obtain promising performance gains.…

Information Theory · Computer Science 2023-07-19 Axel Müller , Romain Couillet , Emil Björnson , Sebastian Wagner , Mérouane Debbah

This paper proposes a new linear precoding scheme for downlink transmission in MIMOME channels, referred to as secure regularized zero forcing. The scheme modifies regularized zero forcing precoding, such that the beamformers further…

Information Theory · Computer Science 2019-12-03 Saba Asaad , Ali Bereyhi , Ralf R. Müller , Rafael F. Schaefer

This work investigates the downlink performance of a multi-cell massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) in the receiving and…

Information Theory · Computer Science 2023-03-08 Qurrat-Ul-Ain Nadeem , Anas Chaaban

Cell-free (CF) multiuser multiple-input multiple-output (MU-MIMO) systems are an emerging technology that provides service simultaneously to multiple users but suffers from multiuser interference (MUI). In this work, we propose a robust…

Information Theory · Computer Science 2025-02-27 A. Flores , R. de Lamare

In this paper, the design of robust linear precoders for the massive multi-input multi-output (MIMO) downlink with imperfect channel state information (CSI) is investigated. The imperfect CSI for each UE obtained at the BS is modeled as…

Information Theory · Computer Science 2019-04-23 An-An Lu , Xiqi Gao , Wen Zhong , Chengshan Xiao , Xin Meng

This paper revisits linear precoding, namely match-filter (MF) and zero-forcing (ZF), in a semantic multiple-input multiple-output (MIMO) system empowered by generative AI. The aim is to examine whether interference, channel state…

Signal Processing · Electrical Eng. & Systems 2026-04-03 Chunmei Xu , Yi Ma , Rahim Tafazolli

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as \emph{cache-aided massive MIMO}, for multi-cell downlink transmission to multiple cache-enabled receivers.…

Information Theory · Computer Science 2022-04-12 Lin Xiang , Xiao Wei , Laura Cottatellucci , Robert Schober , Tao Jiang

In a cooperative multiple-antenna downlink cellular network, maximization of a concave function of user rates is considered. A new linear precoding technique called soft interference nulling (SIN) is proposed, which performs at least as…

Information Theory · Computer Science 2013-05-10 Chris T. K. Ng , Howard Huang

In this paper, we consider a downlink (DL) massive multiple-input multiple-output (MIMO) system, where different users have different mobility profiles. To support this system, we propose to use a hybrid orthogonal time frequency space…

Information Theory · Computer Science 2023-10-16 Ruoxi Chong , Mohammadali Mohammadi , Hien Quoc Ngo , Simon L. Cotton , Michail Matthaiou

The polarization domain provides an extra degree of freedom (DoF) for improving the performance of multiple-input multiple-output (MIMO) systems. This paper takes advantage of this additional DoF to alleviate practical issues of successive…

Integer-forcing (IF) precoding, also known as downlink IF, is a promising new approach for communication over multiple-input multiple-output (MIMO) broadcast channels. Inspired by the integer-forcing linear receiver for multiple-access…

Information Theory · Computer Science 2019-05-07 Danilo Silva , Gabriel Pivaro , Gustavo Fraidenraich , Behnaam Aazhang

This paper studies the coexistence between a downlink multiuser massive multi-input-multi-output (MIMO) communication system and MIMO radar. The performance of the massive MIMO system with maximum ratio ($\MR$), zero-forcing ($\ZF$), and…

Information Theory · Computer Science 2023-12-20 Mohamed Elfiatoure , Mohammadali Mohammadi , Hien Quoc Ngo , Peter J. Smith , Michail Matthaiou

We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a simple multiuser zero-forcing (ZF) linear precoding…

Information Theory · Computer Science 2013-04-18 Saeed Kaviani , Witold A. Krzymien

The signal-to-leakage-and-noise ratio (SLNR) precoder is widely used for MU-MIMO systems in many works, and observed with improved performance from zeroforcing (ZF) precoder. Our work proofs SLNR precoder is completely equivalent to…

Information Theory · Computer Science 2012-06-20 Fang Yuan , Chenyang Yang

Low-resolution digital-to-analog converter (DAC) has shown great potential in facilitating cost- and power-efficient implementation of massive multiple-input multiple-output (MIMO) systems. We investigate the performance of a massive MIMO…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Fengkui Gong , Hua Zhang , Xiaohu You