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We analyze out-of-band (OOB) emissions in the massive multi-user (MU) multiple-input multiple-output (MIMO) downlink. We focus on systems in which the base station (BS) is equipped with low-resolution digital-to-analog converters (DACs) and…

Information Theory · Computer Science 2017-12-05 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Christoph Studer

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

The next generation of wireless communications systems will employ new frequency bands such as those in the upper midband, millimeter-wave and sub-terahertz frequency bands. The high energy consumption of analog-to-digital converters…

Information Theory · Computer Science 2025-05-27 D. Melo , L. Landau , R. de Lamare

We address the problem of analyzing and classifying in groups the downlink channel environment in a millimeter-wavelength cell, accounting for path loss, multipath fading, and User Equipment (UE) blocking, by employing a hybrid propagation…

Information Theory · Computer Science 2020-02-06 Thomas Ketseoglou , Matthew. C. Valenti , Ender Ayanoglu

In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-user massive multiple-input multiple-output (MIMO) systems in the presence of an active eavesdropper. We consider a time-division duplex system…

Information Theory · Computer Science 2015-05-07 Yongpeng Wu , Robert Schober , Derrick Wing Kwan Ng , Chengshan Xiao , Giuseppe Caire

This paper is to design and optimize a non-orthogonal and noncoherent massive multiple-input multiple-output (MIMO) framework towards enabling scalable ultra-reliable low-latency communications (sURLLC) in wireless systems beyond 5G. In…

Signal Processing · Electrical Eng. & Systems 2020-02-19 He Chen , Zheng Dong , Jian-Kang Zhang , Branka Vucetic

Deep learning (DL) has emerged as a solution for precoding in massive multiple-input multiple-output (mMIMO) systems due to its capacity to learn the characteristics of the propagation environment. However, training such a model requires…

Signal Processing · Electrical Eng. & Systems 2025-07-25 Jérôme Emery , Ali Hasanzadeh Karkan , Jean-François Frigon , François Leduc-Primeau

Massive multiple-input multiple-output (MIMO) is envisioned to offer considerable capacity improvement, but at the cost of high complexity of the hardware. In this paper, we propose a low-complexity hybrid precoding scheme to approach the…

Information Theory · Computer Science 2016-11-17 Le Liang , Wei Xu , Xiaodai Dong

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

Deploying antenna arrays with an asymptotically large aperture will be central to achieving the theoretical gains of massive MIMO in beyond-5G systems. Such extra-large MIMO (XL-MIMO) systems experience propagation conditions which are not…

Information Theory · Computer Science 2021-03-02 Lucas N. Ribeiro , Stefan Schwarz , Martin Haardt

In this paper we address the linear precoding and decoding design problem for a bidirectional orthogonal frequencydivision multiplexing (OFDM) communication system, between two multiple-input multiple-output (MIMO) full-duplex (FD) nodes.…

Information Theory · Computer Science 2018-02-09 Omid Taghizadeh , Vimal Radhakrishnan , Ali Cagatay Cirik , Rudolf Mathar , Lutz Lampe

In a massive MIMO system with large arrays, the channel becomes spatially non-stationary. We study the impact of spatial non-stationarity characterized by visibility regions (VRs) where the channel energy is significant on a portion of the…

Signal Processing · Electrical Eng. & Systems 2018-10-24 Anum Ali , Elisabeth de Carvalho , Robert W. Heath

Massive multi-user (MU) multiple-input multiple-output (MIMO) systems are one possible key technology for next generation wireless communication systems. Claims have been made that massive MU-MIMO will increase both the radiated energy…

This paper studies the optimal bit allocation for shape-gain vector quantization of wireless channels in multiuser (MU) multiple-input multiple-output (MIMO) downlink systems based on linear precoding. Our design minimizes the mean…

Information Theory · Computer Science 2011-11-30 Muhammad Nazmul Islam , Raviraj Adve , Behrouz Khoshnevis

We consider a downlink multiuser massive MIMO system comprising multiple heterogeneous base stations with hybrid precoding architectures. To enhance the energy efficiency of the network, we propose a novel coordinated hybrid precoding…

Signal Processing · Electrical Eng. & Systems 2019-08-12 Ganapati Hegde , Christos Masouros , Marius Pesavento

Precoding for multiple-input, multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For 2 transmit antennas and QAM constellations, an approximately optimal…

Information Theory · Computer Science 2015-03-17 K. Pavan Srinath , B. Sundar Rajan

In this paper, we study a multi-user visible light communication (VLC) system assisted with optical reflecting intelligent surface (ORIS). Joint precoding and alignment matrices are designed to maximize the average signal-to-interference…

Information Theory · Computer Science 2023-12-14 Mahmoud Atashbar , Hamed Alizadeh Ghazijahani , Yong Liang Guan , Zhaojie Yang

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

Hybrid precoding plays a key role in realizing massive multiple-input multiple-output (MIMO) transmitters with controllable cost. MIMO precoders are required to frequently adapt based on the variations in the channel conditions. In hybrid…

Signal Processing · Electrical Eng. & Systems 2023-01-03 Ortal Lavi , Nir Shlezinger

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