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One of the key features of next generation wireless communication systems will be the use of frequencies in the range 10-100GHz (aka mmWave band) in densely populated indoor and outdoor scenarios. Due to the reduced wavelength, antenna…

Information Theory · Computer Science 2016-07-26 Stefano Buzzi , Carmen D'Andrea

To support complex communication scenarios in next-generation wireless communications, this paper focuses on a generalized MIMO (GMIMO) with practical assumptions, such as massive antennas, practical channel coding, arbitrary input…

Information Theory · Computer Science 2023-11-08 Yufei Chen , Lei Liu , Yuhao Chi , Ying Li , Zhaoyang Zhang

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

This paper considers a deterministic physical model of massive multiple-input multiple-output (MIMO) systems with uniform linear antenna arrays. It is known that the maximum spatial degrees of freedom is achieved by spacing antenna elements…

Information Theory · Computer Science 2016-01-22 Keigo Takeuchi

Pixel antenna is a promising technology to enhance the wireless communication data rate by adaptively reconfiguring each antenna's radiation pattern via a so-called antenna coding technique which controls the states of switches connected to…

Information Theory · Computer Science 2025-11-18 Shenrui Lin , Shuowen Zhang

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas, deployed on co-located or distributed arrays. Huge spatial degrees-of-freedom are…

Information Theory · Computer Science 2015-04-30 Emil Björnson , Michail Matthaiou , Mérouane Debbah

Massive MIMO is a promising technique to meet the exponential growth of global mobile data traffic demand. However, contrary to the current systems, energy consumption of next generation networks is required to be load adaptive as the…

Networking and Internet Architecture · Computer Science 2015-10-05 M. M. Aftab Hossain , Cicek Cavdar , Emil Björnson , Riku Jäntti

In this paper, we address the message-passing receiver design for the 3D massive MIMO-OFDM systems. With the aid of the central limit argument and Taylor-series approximation, a computationally efficient receiver that performs joint channel…

Information Theory · Computer Science 2016-01-05 Sheng Wu , Linling Kuang , Zuyao Ni , Defeng , Huang , Qinghua Guo , Jianhua Lu

Multiple input multiple output (MIMO) system transmission is a popular diversity technique to improve the reliability of a communication system where transmitter, communication channel and receiver are the important elements. Data…

Signal Processing · Electrical Eng. & Systems 2020-05-06 Subrato Bharati , Prajoy Podder , Niketa Gandhi , Ajith Abraham

In this paper, we consider the transmit and receive antenna array gain of massive MIMO systems. In particular, we look at their dependence on the number of antennas in the array, and the antenna spacing for uniform linear and uniform…

Information Theory · Computer Science 2020-06-29 Tobias Laas , Josef A. Nossek , Wen Xu

Massive multiple-input multiple-output (MIMO) is expected to play a central role in future wireless systems. The deployment of large antenna arrays at the base station and the mobile users offers multiplexing and beamforming gains that…

Information Theory · Computer Science 2016-11-17 Ahmed Alkhateeb , Young-Han Nam , Jianzhong Zhang , Robert W. Heath

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

In this paper, we consider a prospective receiving hybrid beamforming structure consisting of several radio frequency (RF) chains and abundant antenna elements in multi-input multi-output (MIMO) systems. Due to conventional costly full…

Information Theory · Computer Science 2024-05-21 Li-Hsiang Shen , Yen-Chun Lo , Kai-Ten Feng , Sau-Hsuan Wu , Lie-Liang Yang

In this paper, we consider the multi-user detection problem in a multiple-input multiple-output (MIMO) system, where the number of receive antennas at the base station (BS) grows infinitely large. We propose a new performance metric, called…

Signal Processing · Electrical Eng. & Systems 2021-07-22 Ruichen Jiang , Ya-Feng Liu

With the inherent benefits, such as, better cell coverage and higher area throughput, extra-large scale massive multiple-input multiple-output (MIMO) has great potential to be one of the key technologies for the next generation wireless…

Information Theory · Computer Science 2020-11-10 Xi Yang , Fan Cao , Michail Matthaiou , Shi Jin

Increasing the number of transmit and receive elements in multiple-input-multiple-output (MIMO) antenna arrays imposes a substantial increase in hardware and computational costs. We mitigate this problem by employing a reconfigurable MIMO…

Signal Processing · Electrical Eng. & Systems 2020-04-22 Hamed Nosrati , Elias Aboutanios , David Smith

Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base…

Information Theory · Computer Science 2016-11-17 Xiang Gao , Ove Edfors , Fredrik Rusek , Fredrik Tufvesson

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

Approximate message passing (AMP) is an algorithmic framework for solving linear inverse problems from noisy measurements, with exciting applications such as reconstructing images, audio, hyper spectral images, and various other signals,…

Information Theory · Computer Science 2017-02-13 Junan Zhu , Ryan Pilgrim , Dror Baron

We consider transmission of system information in massive MIMO. This information needs to be reliably delivered to inactive users in the cell without any channel state information at the base station. Downlink transmission entails the use…

Information Theory · Computer Science 2017-11-21 Marcus Karlsson , Emil Björnson , Erik G. Larsson