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Related papers: Massive MIMO: How many antennas do we need?

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This paper considers broadcast channels with L antennas at the base station and m single-antenna users, where each user has perfect channel knowledge and the base station obtains channel information through a finite rate feedback. The key…

Information Theory · Computer Science 2007-07-13 Wei Dai , Youjian , Liu , Brian Rider

In this paper, we investigate cell-free massive MIMO (CF-mMIMO) systems in which access points (APs) are equipped with fluid antennas (FAs) and develop a comprehensive framework for channel estimation, antenna port selection, and uplink…

Information Theory · Computer Science 2025-12-30 Maryam Olyaee , Giovanni Interdonato , Stefano Buzzi

We consider a massive MIMO system based on Time Division Duplexing (TDD) and channel reciprocity, where the base stations (BSs) learn the channel vectors of their users via the pilots transmitted by the users in the uplink (UL). It is…

Information Theory · Computer Science 2017-07-03 Saeid Haghighatshoar , Giuseppe Caire

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

Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO enables substantial spatial multiplexing gains by simultaneously…

Signal Processing · Electrical Eng. & Systems 2022-04-13 Ly V. Nguyen , Nhan T. Nguyen , Nghi H. Tran , Markku Juntti , A. Lee Swindlehurst , Duy H. N. Nguyen

We carry out a theoretical analysis of the uplink (UL) of a massive MIMO system with per-user channel correlation and Rician fading, using two processing approaches. Firstly, we examine the linear minimum-mean-square-error receiver under…

Information Theory · Computer Science 2018-09-07 Ikram Boukhedimi , Abla Kammoun , Mohamed-Slim Alouini

Distributed massive multiple-input multiple-output (MIMO) combines the array gain of coherent MIMO processing with the proximity gains of distributed antenna setups. In this paper, we analyze how transceiver hardware impairments affect the…

Information Theory · Computer Science 2015-06-04 Emil Björnson , Michail Matthaiou , Antonios Pitarokoilis , Erik G. Larsson

In this paper we analyze a constant multiple-input multiple-output interference channel where a set of active users are cooperating through interference alignment while a set of secondary users desire access to the channel. We derive the…

Information Theory · Computer Science 2012-07-19 Behrang Nosrat-Makouei , Jeffrey G. Andrews , Robert W. Heath

This work studies multiuser detection for one-bit massive multiple-input multiple-output (MIMO) systems in order to diminish the power consumption at the base station (BS). A low-complexity near-maximum-likelihood (nML) multiuser detection…

Information Theory · Computer Science 2018-06-11 Panos Alevizos

In this paper, the performance of uplink spectral efficiency in massive multiple input multiple output (MIMO) over spacially correlated Ricean fading channel is presented. The maximum ratio combining (MRC) receiver is employed at the base…

Information Theory · Computer Science 2017-07-20 Juan Cao , Dongming Wang , Jiamin Li , Qiang Sun

This paper investigates the impact of the number of antennas (8 to 64) and the array configuration on massive MIMO channel parameters estimation for multiple propagation scenarios at 3.5 GHz. Different measurement environments are…

Signal Processing · Electrical Eng. & Systems 2019-03-21 Thomas Choi , François Rottenberg , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

This paper considers uplink massive MIMO systems with 1-bit analog-to-digital converters (ADCs) and develops a deep-learning based channel estimation framework. In this framework, the prior channel estimation observations and deep neural…

Information Theory · Computer Science 2020-05-11 Yu Zhang , Muhammad Alrabeiah , Ahmed Alkhateeb

In this paper, we study the problem of user activity detection and large-scale fading coefficient estimation in a random access wireless uplink with a massive MIMO base station with a large number $M$ of antennas and a large number of…

Information Theory · Computer Science 2021-09-22 Alexander Fengler , Saeid Haghighatshoar , Peter Jung , Giuseppe Caire

We study the uplink performance of massive multiple-input multiple-output (MIMO) when users are equipped with multiple antennas. To this end, we consider a generalized channel model that accounts for line-of-sight propagation and spatially…

Information Theory · Computer Science 2020-09-02 Konstantinos Dovelos , Michail Matthaiou , Hien Quoc Ngo , Boris Bellalta

Massive MIMO systems, where base stations are equipped with hundreds of antennas, are an attractive way to handle the rapid growth of data traffic. As the number of user equipments (UEs) increases, the initial access and handover in…

Signal Processing · Electrical Eng. & Systems 2018-06-20 Luca Sanguinetti , Antonio A. D'Amico , Michele Morelli , Merouane Debbah

The main focus and contribution of this paper is a novel network-MIMO TDD architecture that achieves spectral efficiencies comparable with "Massive MIMO", with one order of magnitude fewer antennas per active user per cell. The proposed…

Information Theory · Computer Science 2016-11-15 Hoon Huh , Giuseppe Caire , Haralabos C. Papadopoulos , Sean A. Ramprashad

In this paper, we answer a fundamental question: when the total number of antennas per square kilometer is fixed, what is the optimal network deployment? A denser network with a less number of antennas per base station (BS) or the opposite…

Networking and Internet Architecture · Computer Science 2017-10-26 Xuefeng Yao , Ming Ding , David Lopez Perez , Zihuai Lin , Guoqiang Mao

This work considers an uplink wireless communication system where multiple users with multiple antennas transmit data frames over dynamic channels. Previous studies have shown that multiple transmit and receive antennas can substantially…

Signal Processing · Electrical Eng. & Systems 2024-06-25 Sajad Daei , Gabor Fodor , Mikael Skoglund

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

Large-scale MIMO systems with a massive number N of individually controlled antennas pose significant challenges for minimum mean square error (MMSE) channel estimation, based on uplink pilots. The major ones arise from the computational…

Information Theory · Computer Science 2024-10-07 Giacomo Bacci , Antonio Alberto D'Amico , Luca Sanguinetti
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