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Related papers: On the Convergence of Massive MIMO Systems

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Massive MIMO systems can greatly increase spectral and energy efficiency over traditional MIMO systems by exploiting large antenna arrays. However, increasing the number of antennas at the base station (BS) makes the uplink non-coherent…

Information Theory · Computer Science 2015-07-19 Haider Ali Jasim Alshamary , Md Fahim Anjum , Tareq Al-Naffouri , Alam Zaib , Weiyu Xu

Massive Multiple Input-Multiple Output (mMIMO) technique has been considered an efficient standard to improve the transmission rate significantly for the following wireless communication systems, such as 5G and beyond. However, implementing…

Information Theory · Computer Science 2022-09-21 Victor Monzon , Vu N. Ha , Jorge Querol , Symeon Chatzinotas

Fully digital massive MIMO systems with large numbers (1000+) of antennas offer dramatically increased capacity gains from spatial multiplexing and beamforming. Designing digital receivers that can scale to these array dimensions presents…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Ali Rasteh , Amirreza Kiani , Marco Mezzavilla , Sundeep Rangan

Zero-Forcing (ZF) has been considered as one of the potential practical precoding and detection method for massive MIMO systems. One of the most important advantages of massive MIMO is the capability of supporting a large number of users in…

Information Theory · Computer Science 2016-11-17 Dengkui Zhu , Boyu Li , Ping Liang

In practical massive MIMO systems, a substantial portion of system resources are consumed to acquire channel state information (CSI), leading to a drastically lower system capacity compared with the ideal case where perfect CSI is…

Information Theory · Computer Science 2017-08-31 Jianwen Zhang , Xiaojun Yuan , Ying Jun , Zhang

We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where the channel between each transmitter and the receiver is modeled by the doubly-scattering channel model. Based on novel techniques from random matrix…

Information Theory · Computer Science 2011-05-11 Jakob Hoydis , Romain Couillet , Merouane Debbah

Noncoherent communication systems have regained interest due to the growing demand for high-mobility and low-latency applications. Most existing studies using large antenna arrays rely on the far-field approximation, which assumes locally…

Signal Processing · Electrical Eng. & Systems 2025-05-26 Aniol Martí , Luca Sanguinetti , Meritxell Lamarca , Jaume Riba

In this paper, we consider {\em media-based modulation (MBM)}, an attractive modulation scheme which is getting increased research attention recently, for the uplink of a massive MIMO system. Each user is equipped with one transmit antenna…

Information Theory · Computer Science 2016-11-02 Bharath Shamasundar , A. Chockalingam

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

In this paper, we analyze the performance of the uplink communication of massive multi-cell multiple-input multiple-output (MIMO) systems under the effects of pilot contamination and delayed channels because of terminal mobility. The base…

Information Theory · Computer Science 2016-11-17 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

We analyze the performance of multiple input/multiple output (MIMO) communications systems employing spatial multiplexing and zero-forcing detection (ZF). The distribution of the ZF signal-to-noise ratio (SNR) is characterized when either…

Information Theory · Computer Science 2014-01-03 Constantin Siriteanu , Steven Blostein , Akimichi Takemura , Hyundong Shin , Shahram Yousefi , Satoshi Kuriki

A dynamic and flexible generalized spatial modulation (GSM) framework is proposed for massive MIMO systems. Our framework is leveraged on the utilization of machine learning methods for GSM in order to improve the error performance in…

Signal Processing · Electrical Eng. & Systems 2019-03-12 Selen Gecgel , Caner Goztepe , Gunes Karabulut Kurt

Radio-frequency (RF) impairments in the transceiver hardware of communication systems (e.g., phase noise (PN), high power amplifier (HPA) nonlinearities, or in-phase/quadrature-phase (I/Q) imbalance) can severely degrade the performance of…

Information Theory · Computer Science 2016-11-17 Xinlin Zhang , Michail Matthaiou , Emil Björnson , Mikael Coldrey , Mérouane Debbah

The recent development of the massive multiple-input multiple-output (MIMO) paradigm, has been extensively based on the pursuit of favorable propagation: in the asymptotic limit, the channel vectors become nearly orthogonal and inter-user…

Information Theory · Computer Science 2015-03-03 Christos Masouros , Michail Matthaiou

This article reviews existing related work and identifies the main challenges in the key 5G area at the intersection of waveform design and large-scale multiple antenna systems, also known as Massive MIMO. The property of self-equalization…

Information Theory · Computer Science 2016-09-26 Arman Farhang , Nicola Marchetti , Fabricio Figueiredo , Joao Paulo Miranda

This paper analyzes the spectral efficiency of massive multiple-input multiple-output (MIMO) systems in both centralized and distributed configurations, referred to as C-MIMO and D-MIMO, respectively. By accounting for real environmental…

Information Theory · Computer Science 2016-11-18 Gervais N. Kamga , Minghua Xia , Sonia Aïssa

The potential benefits of multiple-antenna systems may be limited by two types of channel degradations rank deficiency and spatial fading correlation of the channel. In this paper, we assess the effects of these degradations on the…

Information Theory · Computer Science 2007-07-13 Hyundong Shin , Moe Z. Win

Massive MIMO systems have made significant progress in increasing spectral and energy efficiency over traditional MIMO systems by exploiting large antenna arrays. In this paper we consider the joint maximum likelihood (ML) channel…

Information Theory · Computer Science 2014-11-26 Haider Ali Jasim Alshamary , Tareq Al-Naffouri , Alam Zaib , Weiyu Xu

The use of large-scale antenna arrays can bring substantial improvements in energy and/or spectral efficiency to wireless systems due to the greatly improved spatial resolution and array gain. Recent works in the field of massive…

Information Theory · Computer Science 2014-12-10 Emil Björnson , Jakob Hoydis , Marios Kountouris , Mérouane Debbah

Massive multiple-input multiple-output (MIMO) is a promising technology aiming at achieving high spectral efficiency by deploying a large number of base station (BS) antennas using coherent combining. Channel aging due to user mobility is a…

Information Theory · Computer Science 2015-09-16 Anastasios K. Papazafeiropoulos
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