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Federated learning (FL) is a distributed learning paradigm wherein users exchange FL models with a server instead of raw datasets, thereby preserving data privacy and reducing communication overhead. However, the increased number of FL…

Machine Learning · Computer Science 2024-04-30 Afsaneh Mahmoudi , Mahmoud Zaher , Emil Björnson

In this paper, we endeavour to seek a fundamental understanding of the potentials and limitations of training-based multiuser multiple-input multiple-output (MIMO) systems. In a multiuser MIMO system, users are geographically separated. So,…

Information Theory · Computer Science 2016-02-25 Xiaojun Yuan , Congmin Fan , Ying Jun Zhang

This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL). The synchronous design relies on strict synchronization…

Information Theory · Computer Science 2022-11-17 Tung T. Vu , Hien Q. Ngo , Minh N. Dao , Duy T. Ngo , Erik G. Larsson , Tho Le-Ngoc

Massive multiple-input-multiple-output (MIMO) is unquestionably a key enabler of the fifth-generation (5G) technology for mobile systems, enabling to meet the high requirements of upcoming mobile broadband services. Physical-layer…

Signal Processing · Electrical Eng. & Systems 2024-09-19 Alejandro de la Fuente , Giovanni Interdonato , Giuseppe Araniti

This paper considers a cellular system with a full-duplex base station and half-duplex users. The base station can activate one user in uplink or downlink (half-duplex mode), or two different users one in each direction simultaneously…

Information Theory · Computer Science 2018-05-01 Shahram Shahsavari , David Ramirez , Elza Erkip

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of…

Signal Processing · Electrical Eng. & Systems 2024-05-14 Özlem Tuğfe Demir , Lianet Méndez-Monsanto , Nicola Bastianello , Emma Fitzgerald , Gilles Callebaut

This work focuses on the downlink communication of a multiuser MIMO system where the base station antennas and the users' receiving antennas are all active, but at each transmission, only a subset of the receive antennas is selected by the…

Signal Processing · Electrical Eng. & Systems 2018-03-21 Azucena Duarte , Raimundo Sampaio-Neto

For multi-user transmissions over MIMO interference channels, each user designs the transmit covariance matrix to maximize its information rate. When passive radio-frequency (RF) energy harvesters are present in the network, the…

Information Theory · Computer Science 2017-04-14 Liang Dong

Although multiple works have proposed energy-efficient resource allocation schemes for Massive Multiple-Input Multiple-Output (M-MIMO) system, most approaches overlook the potential of optimizing Power Amplifier (PA) transmission power…

Signal Processing · Electrical Eng. & Systems 2025-10-13 Siddarth Marwaha , Pawel Kryszkiewicz , Eduard A. Jorswieck

The spectral efficiency (SE) of Massive MIMO (MaMIMO) systems is affected by low quality channel estimates. Rate-Splitting (RS) has recently gained some interest in multiuser multiple antenna systems as an effective means to mitigate the…

Information Theory · Computer Science 2020-03-17 Christo Kurisummoottil Thomas , Bruno Clerckx , Luca Sanguinetti , Dirk Slock

In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave (mmWave) massive MIMO (mMIMO) system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel…

Information Theory · Computer Science 2017-07-17 Wanming Hao , Ming Zeng , Zheng Chu , Shouyi Yang

Under the conditions where performance in a massive MIMO network is limited by pilot contamination, the reverse link signal-to-interference ratio (SIR) exhibits different distributions when using different pilot allocation schemes. By…

Information Theory · Computer Science 2016-06-10 Anand Sivamalai , Jamie S. Evans

A continuous goal in all communication systems is to enhance the users experience and provide them with the highest possible data rates. Recently, the concept of cell-free massive MIMO (CF-mMIMO) systems has been considered to enhance the…

Information Theory · Computer Science 2023-10-30 Ahmed Almehdhar , Mohanad Obeed , Anas Chaaban , Salam A. Zummo

This paper proposes two approaches for overcoming access points' phase misalignment effects in the downlink of cell-free massive MIMO (CF-mMIMO) systems. The first approach is based on the differential space-time block coding technique,…

Information Theory · Computer Science 2025-03-10 Marx M. M. Freitas , Stefano Buzzi , Giovanni Interdonato

In this work, we consider the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs). The UEs move around in the cell according…

Information Theory · Computer Science 2016-11-18 Luca Sanguinetti , Aris L. Moustakas , Emil Bjornson , Merouane Debbah

This paper introduces Waste Factor (W) and Waste Figure (WF) to assess power efficiency in any multiple-input multiple-output (MIMO) or single-input multiple-output (SIMO) or multiple-input single-output (MISO) cascaded communication…

Information Theory · Computer Science 2024-09-19 Mingjun Ying , Dipankar Shakya , Theodore S. Rappaport

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

Massive Multiple-Input Multiple-Output (massive MIMO) is a variant of multi-user MIMO in which the number of antennas at each Base Station (BS) is very large and typically much larger than the number of users simultaneously served. Massive…

Information Theory · Computer Science 2017-08-16 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Giuseppe Caire

Massive MIMO is a promising technique to increase the spectral efficiency (SE) of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing coherent transceiver…

Information Theory · Computer Science 2015-10-21 Emil Björnson , Erik G. Larsson , Mérouane Debbah
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