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Related papers: Power Inversion of the Massive MIMO Channel

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The capacity of discrete-time, non-coherent, multipath fading channels is considered. It is shown that if the delay spread is large in the sense that the variances of the path gains do not decay faster than geometrically, then capacity is…

Information Theory · Computer Science 2016-11-18 Tobias Koch , Amos Lapidoth

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

When there are a large number of antennas in massive MIMO systems, the transmitted wideband signal will be sensitive to the physical propagation delay of electromagnetic waves across the large array aperture, which is called the…

Information Theory · Computer Science 2018-07-04 Bolei Wang , Feifei Gao , Shi Jin , Hai Lin , Geoffrey Ye Li

We consider downlink precoding in a frequency-selective multi-user massive MIMO system with highly efficient but non-linear power amplifiers at the base station (BS). A low-complexity precoding algorithm is proposed, which generates…

Information Theory · Computer Science 2016-11-17 Sudarshan Mukherjee , Saif Khan Mohammed

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

We consider a multiuser system where a single transmitter equipped with multiple antennas (the base station) communicates with multiple users each with a single antenna. Regularized channel inversion is employed as the precoding strategy at…

Information Theory · Computer Science 2013-07-18 Rusdha Muharar , Randa Zakhour , Jamie Evans

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 the downlink of a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We consider a channel model that takes into account several practical…

Information Theory · Computer Science 2022-06-17 Özgecan Özdogan , Emil Björnson

Accurate fading characterization and channel capacity determination are of paramount importance in both conventional and emerging communication systems. The present work addresses the nonlinearity of the propagation medium and its effects…

Information Theory · Computer Science 2016-12-30 Paschalis C. Sofotasios , Sami Muhaidat , Mikko Valkama , Mounir Ghogho , George K. Karagiannidis

The inherent nature of polar codes being channel specific makes it difficult to use them in a setting where the communication channel changes with time. In particular, to be able to use polar codes in a wireless scenario, varying…

Information Theory · Computer Science 2017-04-04 P. K. Deekshith , K. R. Sahasranand

Multiple-input multiple-output (MIMO) or multi-antenna communication is a key technique to achieve high spectral efficiency in wireless systems. For the point-to-point MIMO channel, it is a well-known result that the channel singular value…

Information Theory · Computer Science 2016-11-17 Liang Liu , Rui Zhang

In this paper, we investigate downlink power control in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays. The base station (BS) in each cell consists of multiple antenna arrays, which are deployed in…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Emil Björnson , Erik G. Larsson , Nan Yang

This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or…

Information Theory · Computer Science 2016-11-18 Chuili Kong , Caijun Zhong , Anastasios K. Papazafeiropoulos , Michail Matthaiou , Zhaoyang Zhang

Massive multiple-input multiple-output (MIMO) systems achieve high sum spectral efficiency by offering an order of magnitude increase in multiplexing gains. In time division duplexing systems, however, the reuse of uplink training pilots…

Information Theory · Computer Science 2016-10-14 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

In this paper, we investigate optimal downlink power allocation in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays (DAAs) under correlated and uncorrelated channel fading. In DAA massive MIMO, the base…

Information Theory · Computer Science 2020-10-27 Noman Akbar , Emil Bjornson , Nan Yang , Erik G. Larsson

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

A study of channel hardening in a large-scale antenna system has been carried out by means of indoor channel measurements over four frequency bands, namely 1.472 GHz, 2.6 GHz, 3.82 GHz and 4.16 GHz. NTNU's Reconfigurable Radio Network…

Information Theory · Computer Science 2019-05-17 Golsa Ghiaasi , Jens Abraham , Egil Eide , Torbjörn Ekman

This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming perfect and…

Information Theory · Computer Science 2015-06-19 Qi Zhang , Shi Jin , Kai-Kit Wong , Hongbo Zhu , Michail Matthaiou

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

We study downlink (DL) channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in a time-division duplex. The users must know their effective channel gains to decode their received DL data signals.…

Information Theory · Computer Science 2021-09-07 Amin Ghazanfari , Trinh Van Chien , Emil Björnson , Erik G. Larsson