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Transmit antenna muting (TAM) in multiple-user multiple-input multiple-output (MU-MIMO) networks allows reducing the power consumption of the base station (BS) by properly utilizing only a subset of antennas in the BS. In this paper, we…

Signal Processing · Electrical Eng. & Systems 2023-06-09 Nuwanthika Rajapaksha , Jafar Mohammadi , Stefan Wesemann , Thorsten Wild , Nandana Rajatheva

A cellular multiple-input multiple-output (MIMO) downlink system is studied in which each base station (BS) transmits to some of the users, so that each user receives its intended signal from a subset of the BSs. This scenario is referred…

Information Theory · Computer Science 2013-02-12 Saeed Kaviani , Osvaldo Simeone , Witold A Krzymień , Shlomo Shamai

This paper considers a deterministic physical model of massive multiple-input multiple-output (MIMO) systems with uniform linear antenna arrays. It is known that the maximum spatial degrees of freedom is achieved by spacing antenna elements…

Information Theory · Computer Science 2016-01-22 Keigo Takeuchi

We consider the multi-cell uplink (network MIMO) where M base-stations (BSs) communicate simultaneously with M user terminals (UTs). Although the potential benefit of multi-cell cooperation increases with M, the overhead related to learning…

Information Theory · Computer Science 2011-04-13 Jakob Hoydis , Mari Kobayashi , Merouane Debbah

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

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

This paper investigates the sum-rate gains brought by power allocation strategies in multicell massive multipleinput multiple-output systems, assuming time-division duplex transmission. For both uplink and downlink, we derive tractable…

Information Theory · Computer Science 2015-06-11 Qi Zhang , Shi Jin , Matthew McKay , David Morales-Jimenez , Hongbo Zhu

Massive multi-user (MU) multiple-input multiple-output (MIMO) systems are one possible key technology for next generation wireless communication systems. Claims have been made that massive MU-MIMO will increase both the radiated energy…

In this paper, we consider the multi-user detection problem in a multiple-input multiple-output (MIMO) system, where the number of receive antennas at the base station (BS) grows infinitely large. We propose a new performance metric, called…

Signal Processing · Electrical Eng. & Systems 2021-07-22 Ruichen Jiang , Ya-Feng Liu

Stacked intelligent metasurfaces (SIMs) have emerged as a disruptive technology for future wireless networks. To investigate their capabilities, we study the sum rate maximization problem in an SIM-based multiuser (MU) multiple-input…

Signal Processing · Electrical Eng. & Systems 2025-08-22 Eduard E. Bahingayi , Shuying Lin , Murat Uysal , Marco Di Renzo , Le-Nam Tran

This paper investigates antenna selection at a base station with large antenna arrays and low-resolution analog-to-digital converters. For downlink transmit antenna selection for narrowband channels, we show (1) a selection criterion that…

Signal Processing · Electrical Eng. & Systems 2019-07-02 Jinseok Choi , Junmo Sung , Narayan Prasad , Xiao-Feng Qi , Brian L. Evans , Alan Gatherer

In this paper, we propose a novel algorithm to maximize the sum rate in interference-limited scenarios where each user decodes its own message with the presence of unknown interferences and noise considering the…

Information Theory · Computer Science 2015-03-23 Hussein Al-Shatri , Xiang Li , Rakash SivaSiva Ganesan , Anja Klein , Tobias Weber

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 address the max-min fairness design problem for a MU-MISO system with partial Channel State Information (CSI) at the Base Station (BS), consisting of an imperfect channel estimate and statistical knowledge of the estimation error, and…

Information Theory · Computer Science 2015-02-16 Hamdi Joudeh , Bruno Clerckx

We study a multi-cell multi-user MIMO full-duplex network, where each base station (BS) has multiple antennas with full-duplex capability supporting single-antenna users with either full-duplex or half-duplex radios. We characterize the up-…

Information Theory · Computer Science 2016-06-17 Jingwen Bai , Ashutosh Sabharwal

We propose to operate massive multiple-input multiple output (MIMO) cellular base stations (BSs) in unlicensed bands. We denote such system as massive MIMO unlicensed (mMIMO-U). We design the key procedures required at a cellular BS to…

In this paper, the downlink of a typical massive MIMO system is studied when each base station is composed of three antenna arrays with directional antenna elements serving 120 degrees of the two-dimensional space. A lower bound for the…

Information Theory · Computer Science 2018-04-27 Shahram Shahsavari , Parisa Hassanzadeh , Alexei Ashikhmin , Elza Erkip

This paper demonstrates the feasibility of respiration pattern estimation utilizing a communication-centric cellfree massive MIMO OFDM Base Station (BS). The sensing target is typically positioned near the User Equipment (UE), which…

Signal Processing · Electrical Eng. & Systems 2025-02-18 Haoqiu Xiong , Robbert Beerten , Zhuangzhuang Cui , Yang Miao , Sofie Pollin

Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations (BSs) brings…

Information Theory · Computer Science 2014-03-27 Yong Zeng , Rui Zhang , Zhi Ning Chen

We consider a single user (SU) massive MIMO system with multiple antennas at the transmitter (base station) and a single antenna at the user terminal (UT). Taking transceiver power consumption into consideration, for a given spectral…

Information Theory · Computer Science 2014-10-21 Sudarshan Mukherjee , Saif Khan Mohammed
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