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In this paper, we introduce the novel use of linear spatial precoding based on fixed and known parameters of multiple-input multiple-output (MIMO) channels to improve the performance of space-time coded MIMO systems. We derive linear…

Information Theory · Computer Science 2007-07-13 Tharaka A. Lamahewa , Rodney A. Kennedy , Thushara D. Abhayapala , Van K. Nguyen

In this paper, the performance of multi-user Multiple-Input Multiple-Output (MIMO) systems is evaluated in terms of SINR and capacity. We focus on the case of a downlink single-cell scenario where different precoders have been studied.…

Information Theory · Computer Science 2019-03-28 Mattia Rebato , Luca Rose , Michele Zorzi

This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precoding design jointly considers the issues of power control,…

Networking and Internet Architecture · Computer Science 2018-12-27 Shuai Zhang , Lu Liu , Yu Cheng , Xianghui Cao , Sheng Zhou , Zhisheng Niu , Hangguan Shan

Precoding is a method of compensating the channel at the transmitter. This work presents a novel method of data detection in turbo coded single user massive multiple input multiple output (MIMO) systems using precoding. We show via computer…

Information Theory · Computer Science 2020-08-03 K. Vasudevan , Gyanesh Kumar Pathak , A. Phani Kumar Reddy

Presence of multiple antennas on both sides of a communication channel promises significant improvements in system throughput and power efficiency. In effect, a new class of large multiple-input multiple-output (MIMO) communication systems…

Information Theory · Computer Science 2014-01-28 Maksym A. Girnyk , Mikko Vehkaperä , Lars K. Rasmussen

Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-division-duplexing mode, each base station (BS) can acquire…

Signal Processing · Electrical Eng. & Systems 2021-07-30 Deokhwan Han , Namyoon Lee

In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with the number of antennas, limiting practical deployment. In…

Signal Processing · Electrical Eng. & Systems 2026-03-13 Seunghyeong Yoo , Mintaek Oh , Jeonghun Park , Namyoon Lee , Jinseok Choi

In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficiency. The presented method accounts for channel estimation…

Signal Processing · Electrical Eng. & Systems 2024-11-06 Donia Ben Amor , Michael Joham , Wolfgang Utschick

In this paper, a new multi-cell MMSE precoder is proposed for massive MIMO systems. We consider a multi-cell network where each cell has $K$ users and $B$ orthogonal pilot sequences are available, with $B = \beta K$ and $\beta \ge 1$ being…

Information Theory · Computer Science 2015-09-08 Xueru Li , Emil Björnson , Erik G. Larsson , Shidong Zhou , Jing Wang

Large-scale MIMO systems can yield a substantial improvement in spectral efficiency for future communication systems. Due to the finer spatial resolution achieved by a huge number of antennas at the base stations, these systems have shown…

Information Theory · Computer Science 2014-10-15 Abla Kammoun , Axel Müller , Emil Björnson , Mérouane Debbah

To keep massive MIMO systems cost-efficient, power amplifiers with rather small output dynamic ranges are employed. They may distort the transmit signal and degrade the performance. This paper proposes a distortion aware precoding scheme…

Signal Processing · Electrical Eng. & Systems 2019-05-15 Ali Bereyhi , Saba Asaad , Ralf R. Müller , Symeon Chatzinotas

We consider the downlink of a cell-free massive multiple-input multiple-output (MIMO) system with \textcolor{red}{single}-antenna access points (APs) and single-antenna users. An iterative robust minimum mean-square error (RMMSE) precoder…

Information Theory · Computer Science 2021-04-21 V. M. T. Palhares , A. Flores , R. C. de Lamare

This article is on the energy efficient precoder design in multi-user multiple-input-multiple-output (MU-MIMO) systems which is also robust with respect to the imperfect channel state information (CSI) at the transmitters. In other words,…

Information Theory · Computer Science 2018-11-16 Hossein Vaezy , Mohammad Javad Omidi , Halim Yanikomeroglu

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as cache-aided massive MIMO, for advanced downlink cellular communications. In addition to reaping the…

Signal Processing · Electrical Eng. & Systems 2019-03-25 Xiao Wei , Lin Xiang , Laura Cottatellucci , Tao Jiang , Robert Schober

We propose a subspace constrained precoding scheme that exploits the spatial channel correlation structure in massive MIMO cellular systems to fully unleash the tremendous gain provided by massive antenna array with reduced channel state…

Information Theory · Computer Science 2016-11-17 An Liu , Vincent Lau

This paper presents a robust precoder design for resilient cell-free massive MIMO (CF-mMIMO) systems that minimizes the weighted sum of desired signal mean square error (MSE) and residual interference leakage power under a total transmit…

Information Theory · Computer Science 2025-12-02 Saeed Mashdour , André R. Flores , Rodrigo C. de Lamare

We consider the problem of maximizing the harvested power in Multiple Input Multiple Output (MIMO) Simultaneous Wireless Information and Power Transfer (SWIPT) systems with power splitting reception. Different from recently proposed…

Information Theory · Computer Science 2018-05-03 Deepak Mishra , George C. Alexandropoulos

Assume that a multi-user multiple-input multiple-output (MIMO) communication system must be designed to cover a given area with maximal energy efficiency (bit/Joule). What are the optimal values for the number of antennas, active users, and…

Information Theory · Computer Science 2014-05-02 Emil Björnson , Luca Sanguinetti , Jakob Hoydis , Mérouane Debbah

Massive multiple-input multiple-output (MIMO) is a key technology for 5G wireless communications with a promise of significant capacity increase. The use of low-resolution data converters is crucial for massive MIMO to make the overall…

Information Theory · Computer Science 2019-02-13 Yavuz Yapıcı , Sung Joon Maeng , İsmail Güvenç , Huaiyu Dai , Arupjyoti Bhuyan

Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear precoder design in multi-user (MU) multiple-input multiple-output (MIMO) systems. It decouples the precoder design problem and makes closed-form solution…

Information Theory · Computer Science 2010-08-05 Peng Cheng , Meixia Tao , Wenjun Zhang