Enhancing Device-to-Device direct discovery based on predicted user density patterns-Reference-Cited by-同舟云学术

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Enhancing Device-to-Device direct discovery based on predicted user density patterns

Published:2019-03 Issue: Volume:151 Page:245-259
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Ben Mosbah Aziza,Hammami Seif Eddine,Moungla Hassine^ORCID,Afifi Hossam,Kamal Ahmed E.^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference37 articles.

1. Feasibility Study for Proximity Services (ProSe);3GPP,2013

2. Study on LTE Device to Device Proximity Services; Radio Aspects;3GPP,2015

3. Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC);3GPP,2015

4. A tutorial on support vector regression;Smola;Stat. Comput.,2004

5. Optimizing the UE transmission probability for D2Ddirect discovery;Griffith,2016

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1. Distributed neighbor discovery with mobility adaptive probing for beyond 5G D2D communications;Computer Networks;2024-08

2. A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges;Sensors;2023-02-20

3. The Enhanced Machine Learning Model for Device Prediction in Device-To-Device (D2D) Communications;International Journal of Research In Science & Engineering;2022-11-30

4. A Device-to-Device direct discovery algorithm to mitigate the collision caused by hidden users;Physical Communication;2022-06

5. Signaling Overhead Reduction Techniques in Device-to-Device Communications: Paradigm for 5G and Beyond;IEEE Access;2021

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