Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications

Autor: Orimogunje, Abidemi, Ninkovic, Vukan, Twahirwa, Evariste, Gashema, Gaspard, Vukobratovic, Dejan

Establishing and maintaining 5G mmWave vehicular connectivity poses a significant challenge due to high user mobility that necessitates frequent triggering of beam switching procedures. Departing from reactive beam switching based on the user device

Externí odkaz: http://arxiv.org/abs/2410.02326

Travel Matrix Enabled Delta-Based Roadside Units Deployment for Vehicular Ad Hoc Networks: A Case of Kigali City.

Autor: Twahirwa, Evariste¹ (AUTHOR), Laha, Moyukh² (AUTHOR), Rwigema, James¹ (AUTHOR), Datta, Raja² (AUTHOR)

Publikováno v: Journal of Advanced Transportation. 3/12/2022, p1-12. 12p.

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Optimal Exploitation of On-Street Parked Vehicles as Roadside Gateways for Social IoV—A Case of Kigali City

Autor: Raja Datta, Twahirwa Evariste, Willie Kasakula, James Rwigema

Publikováno v: Journal of Open Innovation: Technology, Market and Complexity, Vol 6, Iss 73, p 73 (2020)
Journal of Open Innovation: Technology, Market, and Complexity
Volume 6
Issue 3

Vehicular Ad Hoc Network (VANET) is a subclass of Mobile Ad Hoc Network that mainly consists of moving and/or stationary vehicles, connected through wireless protocols such as IEEE 802.11p and wireless access in vehicular environments (WAVE). With th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c614724cd6736579e932abbc08f2da81
https://www.mdpi.com/2199-8531/6/3/73