Publications associées à Radio resource management

A bistable inhibitory optoGPCR for multiplexed optogenetic control of neural circuits

Information is transmitted between brain regions through the release of neurotransmitters from long-range projecting axons. Understanding how the activity of such long-range connections contributes to behavior requires efficient methods for reversibly mani ...

Nature Portfolio2024

Channel-Aware 5G RAN Slicing with Customizable Schedulers

Haitham Al Hassanieh

This paper focuses on 5G RAN slicing, where the 5G radio resources must be divided across slices (or enterprises) so as to achieve high spectrum efficiency, fairness and isolation across slices, and the ability for each slice to customize how the radio res ...

USENIX ASSOC2023

Increasing Cellular Network Energy Efficiency for Railway Corridors

Andreas Peter Burg, Ruben Merz, Adrian Schumacher

Modern trains act as Faraday cages making it challenging to provide high cellular data capacities to passengers. A solution is the deployment of linear cells along railway tracks, forming a cellular corridor. To provide a sufficiently high data capacity, m ...

IEEE2022

Beam Selection and Tracking for Amplify-and-Forward Repeaters

Andreas Peter Burg, Ruben Merz, Adrian Schumacher

Mobile network operators constantly have to upgrade their cellular network to satisfy the public's hunger for increasing data capacity. However, regulatory limits regarding allowed electromagnetic field strength on existing cell sites often limit or preven ...

IEEE2022

Assessment of the Electromagnetic Field Exposure due to 5G Base Stations using a Monte-Carlo Method: Initial Results

Anja Skrivervik, Tingyong Jiang

The realistic assessment of the Electromagnetic Field exposure due to wireless telecommunication base stations is critical to protect the population from harm due to excessive exposure, and allow wireless service providers to use the available technology i ...

IEEE2021

Multi-task Neural Network for Robust Multiple Speaker Embedding Extraction

Jean-Marc Odobez, Petr Motlicek, Weipeng He

This paper introduces a novel approach for extracting speaker embeddings from audio mixtures of multiple overlapping voices. This approach is based on a multi-task neural network. The network first extracts a latent feature for each direction. This feature ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Network coded multipath and related techniques

Emre Telatar, Arno Schneuwly, Derya Malak

Techniques are disclosed for adaptive coding and scheduling of packets in wireless networks. The adaptive coding and scheduling can be achieved by utilizing a discrete water filling (DWF) scheme. In an example, a computer-implemented method to adaptively c ...

2020

Courtesy As a Means to Coordinate

Boi Faltings, Panayiotis Danassis

We investigate the problem of multi-agent coordination under rationality constraints. Specifically, role allocation, task assignment, resource allocation, etc. Inspired by human behavior, we propose a framework (CA^3NONY) that enables fast convergence to e ...

International Foundation for Autonomous Agents and Multiagent Systems2019

Four-Port Broadband Orthomode Transducer Enabling Arbitrary Interelement Spacing

Juan Ramon Mosig, Anja Skrivervik, Emile Jacques de Rijk, Tomislav Debogovic, Maria Garcia Vigueras, Santiago Capdevila Cascante, Esteban Menargues Gomez

This paper reports a novel methodology to design broadband orthomode transducers with two arbitrarily spaced ports carrying orthogonal linear polarizations. The component is based on a combination of two Boifot junctions through a series of power dividers ...

Institute of Electrical and Electronics Engineers2018

Compact Orthomode Transducer with Broadband Beamforming Capability

Juan Ramon Mosig, Anja Skrivervik, Emile Jacques de Rijk

A compact and broadband orthomode transducer (OMT) with two dual linearly polarized ports is reported here for the first time. The component is based on a combination of two ridged Boifot junctions through a series of power dividers that act as an embedded ...

IEEE2018