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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

This paper analyzes the downlink performance of ultra-dense networks with elevated base stations (BSs). We consider a general dual-slope pathloss model with distance-dependent probability of line-of-sight (LOS) transmission between BSs and…

Information Theory · Computer Science 2017-03-20 Italo Atzeni , Jesús Arnau , Marios Kountouris

This paper presents a new approach to intra-cell pilot contamination in crowded massive MIMO scenarios. The approach relies on two essential properties of a massive MIMO system, namely near-orthogonality between user channels and…

Information Theory · Computer Science 2015-05-22 Jesper H. Sørensen , Elisabeth de Carvalho , Petar Popovski

This paper considers three aspects of Massive MIMO (multiple-input multiple-output) communication networks that have received little attention in previous works, but are important to understand when designing and implementing this promising…

Information Theory · Computer Science 2015-09-23 Emil Björnson , Erik G. Larsson

How would a cellular network designed for maximal energy efficiency look like? To answer this fundamental question, tools from stochastic geometry are used in this paper to model future cellular networks and obtain a new lower bound on the…

Information Theory · Computer Science 2016-04-06 Emil Björnson , Luca Sanguinetti , Marios Kountouris

This paper addresses the problem of estimating sparse channels in massive MIMO-OFDM systems. Most wireless channels are sparse in nature with large delay spread. In addition, these channels as observed by multiple antennas in a neighborhood…

Applications · Statistics 2015-06-22 Mudassir Masood , Laila H. Afify , Tareq Y. Al-Naffouri

Since the seminal paper by Marzetta from 2010, Massive MIMO has changed from being a theoretical concept with an infinite number of antennas to a practical technology. The key concepts are adopted in 5G and base stations (BSs) with $M=64$…

Signal Processing · Electrical Eng. & Systems 2019-10-08 Luca Sanguinetti , Emil Björnson , Jakob Hoydis

In this work, we analyze the performance of the uplink (UL) of a massive MIMO network considering an asymptotically large number of antennas at base stations (BSs). We model the locations of BSs as a homogeneous Poisson point process (PPP)…

Information Theory · Computer Science 2018-05-07 Priyabrata Parida , Harpreet S. Dhillon

This paper addresses the problem of channel estimation in multi-cell interference-limited cellular networks. We consider systems employing multiple antennas and are interested in both the finite and large-scale antenna number regimes…

Information Theory · Computer Science 2016-11-15 Haifan Yin , David Gesbert , Miltiades Filippou , Yingzhuang Liu

Flat-fading channel models are usually invoked for analyzing the performance of massive spatial modulation multiple-input multiple-output (SM-MIMO) systems. However, in the context of broadband SM transmission, the severe…

Information Theory · Computer Science 2017-12-04 Yue Sun , Jintao Wang , Longzhuang He , Jian Song

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

We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

Information Theory · Computer Science 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

We consider the downlink of a multi-cell massive MIMO system suffering from asymptotic rate saturation due to pilot contamination. As opposed to treating pilot contamination interference as noise (TIN), we study the performance of decoding…

Information Theory · Computer Science 2022-08-09 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai

We propose a novel location-aware pilot assignment scheme to mitigate pilot contamination in massive multiple-input multiple-output (MIMO) networks, where the channels are subjected to Rician fading. Our proposed scheme utilizes the…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Shihao Yan , Nan Yang , Jinhong Yuan

Pilot contamination, defined as the interference during the channel estimation process due to reusing the same pilot sequences in neighboring cells, can severely degrade the performance of massive multiple-input multiple-output systems. In…

Information Theory · Computer Science 2018-06-05 L. Srikar Muppirisetty , Themistoklis Charalambous , Johnny Karout , Gabor Fodor , Henk Wymeersch

This work considers a multicell Massive MIMO network with $L$ cells, each comprising a BS with $M$ antennas and $K$ single-antenna user equipments. Within this setting, we are interested in deriving approximations of the achievable rates in…

Information Theory · Computer Science 2018-11-29 Luca Sanguinetti , Abla Kammoun , Merouane Debbah

In this paper, a new state-of-the-art multi-cell MMSE scheme is proposed for massive MIMO networks, which includes an uplink MMSE detector and a downlink MMSE precoder. The main novelty is that it exploits all available pilots for…

Information Theory · Computer Science 2015-05-27 Xueru Li , Emil Björnson , Erik G. Larsson , Shidong Zhou , Jing Wang

In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) multiple-input multiple-output (MIMO) network adopting the channel estimation algorithm proposed in [1] for channel…

Signal Processing · Electrical Eng. & Systems 2018-01-30 Lou Zhao , Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Mark C. Reed

Massive MIMO uses a large number of antennas to increase the spectral efficiency (SE) through spatial multiplexing of users, which requires accurate channel state information. It is often assumed that regular pilots (RP), where a fraction…

Information Theory · Computer Science 2021-05-03 Daniel Verenzuela , Emil Björnson , Xiaojie Wang , Maximilian Arnold , Stephan ten Brink

Massive multiple-input multiple-output (MIMO) is a fundamental enabler to provide high data throughput in next generation cellular networks. By equipping the base stations (BSs) with tens or hundreds of antenna elements, narrow and high…

Networking and Internet Architecture · Computer Science 2018-01-26 Paolo Baracca , Andreas Weber , Thorsten Wild , Christophe Grangeat