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Multi-user Multiple-Input Multiple-Output (MIMO) offers big advantages over conventional point-to-point MIMO: it works with cheap single-antenna terminals, a rich scattering environment is not required, and resource allocation is simplified…

Information Theory · Computer Science 2016-11-18 Erik G. Larsson , Ove Edfors , Fredrik Tufvesson , Thomas L. Marzetta

We consider channel estimation for an uplink massive multiple-input multiple-output (MIMO) system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to-digital converters and a spatial Sigma-Delta…

Signal Processing · Electrical Eng. & Systems 2021-07-15 Shilpa Rao , Gonzalo Seco-Granados , Hessam Pirzadeh , Josef A. Nossek , A. Lee Swindlehurst

The growth of interest in massive MIMO systems is accompanied with hardware cost and computational complexity. Antenna selection is an efficient approach to overcome this cost-plus-complexity issue which also enhances the secrecy…

Information Theory · Computer Science 2018-05-31 Ali Bereyhi , Saba Asaad , Rafael F. Schaefer , Ralf R. Müller

We present a unified model for connected antenna arrays with a large number of tightly integrated (i.e., coupled) antennas in a compact space within the context of massive multiple-input multiple-output (MIMO) communication. We refer to…

Information Theory · Computer Science 2023-05-09 Mohamed Akrout , Volodymyr Shyianov , Faouzi Bellili , Amine Mezghani , Robert W. Heath

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

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

This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input multiple-output (MIMO) system. Each receive antenna of the base station (BS) is assumed to be equipped with a pair of…

Information Theory · Computer Science 2017-08-02 Yongzhi Li , Cheng Tao , Gonzalo Seco-Granados , Amine Mezghani , A. Lee Swindlehurst , Liu Liu

Reconfigurable antennas (RAs) are a promising technology to enhance the capacity and coverage of wireless communication systems. However, RA systems have two major challenges: (i) High computational complexity of mode selection, and (ii)…

Information Theory · Computer Science 2022-11-28 Fariba Armandoust , Ehsan Tohidi , Martin Kasparick , Li Wang , Ahmet Hasim Gokceoglu , Slawomir Stanczak

Spatial multiplexing (SM) gains in multiple input multiple output (MIMO) cellular networks are limited when used in combination with ultra-dense small cell networks. This limitation is due to large spatial correlation among channel pairs.…

Information Theory · Computer Science 2016-11-15 Amir H. Jafari , Vijay Venkateswaran , David Lopez-Perez , Jie Zhang

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

Millimeter-wave (mmWave) multiple-input multiple-out (MIMO) systems relying on lens antenna arrays are capable of achieving a high antenna-gain at a considerably reduced number of radio frequency (RF) chains via beam selection. However, the…

Information Theory · Computer Science 2020-04-20 Wenqian Shen , Xiangyuan Bu , Xinyu Gao , Chengwen Xing , Lajos Hanzo

Large-scale multiple-input multiple-output (MIMO) with high spectrum and energy efficiency is a very promising key technology for future 5G wireless communications. For large-scale MIMO systems, accurate channel state information (CSI)…

Information Theory · Computer Science 2015-11-30 Zhen Gao , Linglong Dai , Zhaocheng Wang

MIMO communication may provide high spectral efficiency through the deployment of a very large number of antenna elements at the base stations. The gains from massive MIMO communication come from the use of multi-user MIMO on the uplink and…

Information Theory · Computer Science 2013-07-16 Kien T. Truong , Robert W. Heath

Generalized spatial modulation (GSM) is a spectral-efficient technique used in multiple-input multiple-output (MIMO) wireless communications when the number of radio frequency chains at the transmitter is less than the number of transmit…

Information Theory · Computer Science 2020-08-11 Lakshit Singla , Lakshmi Natarajan

Spatial diversity technique enables improvement in quality and reliability of wireless link. Antenna diversity along with understanding effects of channel on transmitted signal and methods to overcome the channel impairment plays an…

Information Theory · Computer Science 2016-05-11 Gopika K , M Mathurakani

Massive Multiple-Input Multiple-Output (MIMO)communications uses a large number of antennas at the base station to increase the data rate and user density in future wireless systems. For simulation, it has become common practice to use…

Information Theory · Computer Science 2018-04-18 Maximilian Arnold , Marc Gauger , Stephan ten Brink

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

In a realistic wireless environment, the multi-antenna channel usually exhibits spatially correlation fading. This is more emphasized when a large number of antennas is densely deployed, known as holographic massive MIMO (multiple-input…

Information Theory · Computer Science 2022-02-03 Özlem Tuğfe Demir , Emil Björnson , Luca Sanguinetti

In this paper we examine convergence properties of massive MIMO systems with the aim of determining the number of antennas required for massive MIMO gains. We consider three characteristics of a channel matrix and study their asymptotic…

Information Theory · Computer Science 2015-01-30 Peter J. Smith , Callum T. Neil , Mansoor Shafi , Pawel A. Dmochowski

Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order…

Information Theory · Computer Science 2016-11-16 Eduardo Castañeda , Adão Silva , Atílio Gameiro , Marios Kountouris
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