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Massive MIMO is a new technique for wireless communications that claims to offer very high system throughput and energy efficiency in multi-user scenarios. The cost is to add a very large number of antennas at the base station. Theoretical…

Information Theory · Computer Science 2015-07-23 Àlex Oliveras Martínez , Elisabeth De Carvalho , Jesper Ødum Nielsen

This paper investigates the maximal achievable rate for a given blocklength and error probability over quasi-static multiple-input multiple-output (MIMO) fading channels, with and without channel state information (CSI) at the transmitter…

Information Theory · Computer Science 2014-04-17 Wei Yang , Giuseppe Durisi , Tobias Koch , Yury Polyanskiy

The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO. Since its inception, the coherent interference caused by pilot contamination has been believed to create a…

Information Theory · Computer Science 2017-11-10 Emil Björnson , Jakob Hoydis , Luca Sanguinetti

This work proposes a novel outer bound for the Gaussian cognitive interference channel in strong interference at the primary receiver based on the capacity of a multi-antenna broadcast channel with degraded message set. It then shows that…

Information Theory · Computer Science 2015-03-19 Stefano Rini , Daniela Tuninetti , Natasha Devroye

We demonstrate that separating beamforming (i.e., downlink precoding and uplink combining) and channel estimation in multi-user MIMO wireless systems incurs no loss of optimality under general conditions that apply to a wide variety of…

Information Theory · Computer Science 2025-07-15 Lorenzo Miretti , Slawomir Stańczak , Giuseppe Caire

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

This paper shows how the application of stochastic geometry to the analysis of wireless networks is greatly facilitated by (i) a clear separation of time scales, (ii) the abstraction of small-scale effects via ergodicity, and (iii) an…

Information Theory · Computer Science 2017-08-04 Geordie George , Ratheesh K. Mungara , Angel Lozano , Martin Haenggi

The use of multiple antenna arrays in transmission and reception has become an integral part of modern wireless communications. To quantify the performance of such systems, the evaluation of bounds on the error probability of realistic…

Information Theory · Computer Science 2017-11-28 Apostolos Karadimitrakis , Aris L. Moustakas , Romain Couillet

The prospect of base station (BS) cooperation leading to joint combining at widely separated antennas has led to increased interest in macrodiversity systems, where both sources and receive antennas are geographically distributed. In this…

Information Theory · Computer Science 2012-09-21 Dushyantha A. Basnayaka , Peter J. Smith , Phillipa A. Martin

We consider a multiple-input, multiple-output (MIMO) wideband Rayleigh block fading channel where the channel state is unknown to both the transmitter and the receiver and there is only an average power constraint on the input. We compute…

Information Theory · Computer Science 2007-07-13 Siddharth Ray , Muriel Medard , Lizhong Zheng

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

Massive multiple-input multiple-output (MIMO) systems have been drawing considerable interest due to the growing throughput demands on wireless networks. In the uplink, massive MIMO systems are commonly studied assuming that each base…

Information Theory · Computer Science 2018-11-28 Nir Shlezinger , Yonina C. Eldar

Pilot contamination is known to be one of the main bottlenecks for massive multi-input multi-output (MIMO) networks. For moderately large antenna arrays (of importance to recent/emerging deployments) and correlated MIMO, pilot contamination…

Information Theory · Computer Science 2018-07-24 Nadisanka Rupasinghe , Yavuz Yapici , Jorge Iscar , Ismail Guvenc

We study a multiple-input multiple-output (MIMO) multiple access channel (MAC) from several multi-antenna transmitters to a multi-antenna receiver. The fading channels between the transmitters and the receiver are modeled by random…

Information Theory · Computer Science 2011-05-04 Jakob Hoydis , Romain Couillet , Merouane Debbah

The multiple access channel (MAC) with many-user is a general model for massive machine type communications. In this paradigm, the number of users may be comparable or even larger than the coding blocklength $n$. In contrast, classical MAC…

Information Theory · Computer Science 2019-08-12 Fan Wei , Yongpeng Wu , Wen Chen , Yanlin Geng , Giuseppe Caire

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 work studies the capacity region of a two-user ergodic interference channel with fading, where only one of the users is subject to interference from the other user, and the channel state information (CSI) is only available at the…

Information Theory · Computer Science 2009-11-06 Yan Zhu , Dongning Guo

Antenna current optimization is often used to analyze the optimal performance of antennas. Antenna performance can be quantified in e.g., minimum Q-factor and efficiency. The performance of MIMO antennas is more involved and, in general, a…

Classical Physics · Physics 2025-09-23 Casimir Ehrenborg , Mats Gustafsson

Massive multi-input multi-output (MIMO) uses a very large number of low-power transmit antennas to serve much smaller numbers of users. The most widely proposed type of massive MIMO transmit beamforming is zero-forcing, which is based on…

Information Theory · Computer Science 2017-12-12 Long D. Nguyen , Hoang D. Tuan , Trung Q. Duong , H. Vincent Poor

We identify the role of equal strength interference links as bottlenecks on the ergodic sum capacity of a $K$ user phase-fading interference network, i.e., an interference network where the fading process is restricted primarily to…

Information Theory · Computer Science 2016-11-17 Syed A. Jafar