MIMO (télécommunications)

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Électrotechnique
Télécommunications
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Publications associées (30)

Training Channel Selection for Learning-based 1-bit Precoding in Massive MU-MIMO

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Sitian Li

Learning-based algorithms have gained great popularity in communications since they often outperform even carefully engineered solutions by learning from training samples. In this paper, we show that the selection of appropriate training examples can be im ...

IEEE2020

On the relaxed maximum-likelihood blind MIMO channel estimation for orthogonal space-time block codes

Kamran Kalbasi

This paper concerns the maximum-likelihood channel estimation for MIMO systems with orthogonal space-time block codes when the finite alphabet constraint of the signal constellation is relaxed. We study the channel coefficients estimation subspace generate ...

ELSEVIER2020

Joint Antenna-Channel Modelling for in-to-out-Body Propagation of Dairy Cows at 868 MHz

Denys Nikolayev

In this paper, for the first time, the in-to-out-body path loss between a capsule antenna placed inside the cows' rumen and a distant gateway was characterized at 868 MHz. Measurements were conducted on five different fistulated cows in a dairy barn. The i ...

IEEE2020

Wideband Multiport Antennas

Anja Skrivervik, Abdulkadir Uzun

In this paper, a wideband four port 2-6 GHz antenna is proposed. One-, two-, and four-port antennas are implemented and characterized between 2 and 6 GHz. The isolation between the ports is improved by connecting and optimizing the ground plane sections. T ...

2020

Progress and pitfalls of using isobaric mass tags for proteome profiling

Loïc Dayon

Introduction: Quantitative proteomics using mass spectrometry is performed via label-free or label-based approaches. Labeling strategies rely on the incorporation of stable heavy isotopes by metabolic, enzymatic, or chemical routes. Isobaric labeling uses ...

TAYLOR & FRANCIS LTD2020

Subarray antenna fed by analog beamforming network for 5G picocell applications

Anja Skrivervik

In this paper a subarray fed by an analog beamforming network for 5G picocell applications is proposed. Design requirements are presented taking into account frequency band operation, bandwidth, radiation pattern shape and both, antenna element and transmi ...

IEEE2020

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

Alexios Konstantinos Balatsoukas Stimming, Christoph Studer

Base station (BS) architectures for massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems are equipped with hundreds of antennas to serve tens of users on the same time-frequency channel. The immense number of BS antennas incurs hi ...

IEEE2019

Feedback-Aware Precoding for Millimeter Wave Massive MIMO Systems

Andreas Peter Burg, Reza Ghanaatian Jahromi

Millimeter wave (mmWave) communication is a promising solution for coping with the ever-increasing mobile data traffic because of its large bandwidth. To enable a sufficient link margin, a large antenna array employing directional beamforming, which is ena ...

IEEE2019

Recurrent Neural Network based MPC for Process Industries

Colin Neil Jones

Autonomous operation of industrial plants requires a cheap and efficient way of creating dynamic process models, which can then be used to either be part of the autonomous systems or to serve as simulators for reinforcement learning. The trends of digitali ...

IEEE2019

Stacked patch antenna and hybrid beamforming network for 5G picocell applications

Anja Skrivervik, Danelys Rodríguez Avila

This paper addresses the design of an antenna array for a portable picocell station with omnidirectional coverage. The proposed solution includes a stacked patch antenna as a single radiating element of the antenna array and a hybrid beamforming network. T ...

IEEE2019

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