Results 41 to 50 of about 1,567 (167)
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang +8 more
wiley +1 more source
The role of vehicular applications in the design of future 6G infrastructures
A great lack of 5G design is the traditional bottom-up development of network evolution, which has not effectively considered the requirements of applications and, particularly, vehicle to everything (V2X) applications.
Jorge Gallego-Madrid +3 more
doaj +1 more source
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi +5 more
wiley +1 more source
This article presents an adaptive unmanned aerial vehicle video streaming framework in which captured video is encoded at multiple quality levels and protected using Luby transform (LT) coding before transmission over a wireless channel to a base station. At the receiver, LT decoding and latency monitoring are used to assess delivery performance, while
Sudeep Govindan Nair +7 more
wiley +1 more source
Semantic Vehicle-to-Everything (V2X) Communications Towards 6G
Semantic Communication (SEM-COM) has emerged as one of the disruptive technologies facilitating the evolution towards sixth-generation (6G) wireless networks. This article presents the potential of SEM-COM to transform Vehicle-to-Everything (V2X) communications, with a particular emphasis on its ability to enhance communication efficiency and ...
Tengfei Lyu +3 more
openaire +2 more sources
Downlink Performance of Optical Power Domain NOMA for Beyond 5G Enabled V2X Networks
In this work, we explore the potential benefits and practical challenges associated with implementation of optical power domain non-orthogonal multiple access (OPD-NOMA) scheme for visible light communications (VLC) based vehicle-to-everything (V2X ...
Gurinder Singh +3 more
doaj +1 more source
This paper presents a review of analysis and optimisation methodologies for multishaper and multidomain Time‐Sensitive Networks (TSN), examining the integration of the time‐aware shaper (TAS) with mechanisms such as CBS, ATS and CQF. We analyse orchestration architectures for TSN federation, DetNet and wireless integration, highlighting the scalability
Voica Gavriluţ, Paul Pop
wiley +1 more source
Performance Analysis of Security Certificate Management System in Vehicle-to-Everything (V2X)
in Chinese ...
Abel C. H. Chen +3 more
openaire +2 more sources
RSU‐Assisted Resource Map Sharing to Enhance Reliability in 5G NR V2X Mode 2
Wireless blind spots (WBS) cause persistent collisions in 5G new radio vehicle‐to‐everything Mode 2 sensing‐based semi‐persistent scheduling due to hidden terminals and half‐duplex sensing. We propose roadside unit‐assisted resource map sharing service (RMSS) that shares an occupancy bitmap via PC5 or bitmap+RC via Uu for delay‐compensated ...
Seung‐Jae Yu, Cheol Mun
wiley +1 more source
Spectrum Resourse Management Method of V2X based on Deep Reinforcement Learning
Aiming at the problem of spectrum scarcity faced by Vehicle to Everything (V2X) communication, a deep reinforcement learning method is proposed to manage V2X spectrum resources.
WU Ming-hu, JIN Bo, ZHAO Nan, WANG Ru
doaj

