Výsledky vyhledávání - "Shue Chen, Chung"

Designing Medium Access Control Protocol Sequences Through Deep Reinforcement Learning

Autor: Adjih, Cédric, Shue Chen, Chung, Gobin, Chetanveer, Hmedoush, Iman

Publikováno v: EuCNC & 6G Summit 2023-European Conference on Networks and Communications & 6G Summit
EuCNC & 6G Summit 2023-European Conference on Networks and Communications & 6G Summit, Jun 2023, Gothenburg, Sweden

International audience; This work aims to design protocol sequences through deep reinforcement learning (DRL). Protocol sequences are periodic binary sequences that define multiple access control among users, introduced for systems considering collis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::eeed47fcc04107995272bdcae0f7bdb7
https://inria.hal.science/hal-04070131/document

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Maximizing Downlink User Connection Density in NOMA-aided NB-IoT Networks Through a Graph Matching Approach

Autor: Mishra, Shashwat, Salaun, Lou, Gorce, Jean-Marie, Shue Chen, Chung

Publikováno v: IEEE VTC2022-Fall-IEEE 96th Vehicular Technology Conference
IEEE VTC2022-Fall-IEEE 96th Vehicular Technology Conference, Sep 2022, London, United Kingdom

International audience; We develop a framework for maximizing the number of transmitted packets for devices in a Narrowband Internet of Things (NB-IoT) network using non-orthogonal multiple access (NOMA) in the downlink. The base station (BS) chooses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9883956d6e1eeda2d88b7e75b6d77bc
https://doi.org/10.1109/vtc2022-fall57202.2022.10012847

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Design of Coded Slotted ALOHA with Interference Cancellation Errors

Autor: Dumas, Charles, Salaün, Lou, Hmedoush, Iman, Adjih, Cédric, Shue Chen, Chung

Publikováno v: IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology, 2021

International audience; Coded Slotted ALOHA (CSA) is a random access scheme based on the application of packet erasure correcting codes to transmitted packets and the use of successive interference cancellation at the receiver. CSA has been widely st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::829e439a1118bc93ce0e50037c2f66d3
https://hal.inria.fr/hal-03266615

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Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Methods for Time-to-Event Analysis Through the IPEC Score

Autor: Fernández, Camila, Shue Chen, Chung, Gaillard, Pierre, Silva, Alonso

Publikováno v: SFdS 2020-52èmes Journées de Statistiques de la Société Française de Statistique
SFdS 2020-52èmes Journées de Statistiques de la Société Française de Statistique, Jun 2021, Nice, France. pp.1-6

International audience; In this paper, we make an experimental comparison of semi-parametric (Cox proportional hazards model, Aalen additive model), parametric (Weibull AFT model), and machine learning methods (Random Survival Forest, Gradient Boosti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b9c45ba97836510b53930025bbce0fc1
https://hal.inria.fr/hal-03221512/document

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Distributed Resilient Platoon Control of Vehicular Cyber Physical Systems Subject to DoS Attacks

Autor: Yuan Zhao, Zhongchang Liu, Shing Wong Wing, Shue Chen Chung

Publikováno v: 2020 39th Chinese Control Conference (CCC).

This paper investigates the platoon control problem for vehicular cyber physical systems (VCPSs) subject to Denial-of-Service (DoS) attacks which often cause significant transmitted data packet delay or dropout by jamming the communication channels a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c848be29a8d9c8aae1d5eb62096b2e0
https://doi.org/10.23919/ccc50068.2020.9188815

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