Results 121 to 130 of about 16,042 (204)

Eight port millimeter wave HMSIW MIMO antenna array for V2V communication. [PDF]

Sci Rep
Srivastava G, Kumar A, Kumar V, Mohan A, Kumar S, Kumar OP.   +5 more
europepmc   +1 more source

Outage performance analysis for vehicular communications assisted by intelligent reflecting surfaces

物联网学报
To address the vehicle-to-vehicle (V2V) link failure caused by severe shadowing in vehicular networks, roadside-based intelligent reflecting surfaces (IRS) were considered to assist the V2V communications, and the outage performance of the vehicular ...
ZHOU Momiao, WU Fan, SUN Yanshi, WANG Kan   +3 more
doaj  

DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]

Sci Rep
Neelima S, Sree SR, Ramakrishnaiah N.
europepmc   +1 more source

DAF-Aided ISAC Spatial Scattering Modulation for Multi-Hop V2V Networks. [PDF]

Sensors (Basel)
Fan Y, Wu J, Guo Y, Yang J, Zhao L, Yan W, Yang S, Ma H, Zhu C.   +8 more
europepmc   +1 more source

Machine learning-based detection and mitigation of cyberattacks in adaptive cruise control systems. [PDF]

Sci Rep
Zhang YT, Yang L, Zhang H, Wan N, Wu ZW, Chen J, Chang J.   +6 more
europepmc   +1 more source

Vehicle-to-Vehicle Secure Communication Protocol Based on Digital Vehicle Identification Number. [PDF]

Sensors (Basel)
Escapa Gordón P, Matellán Olivera V, Suárez Corona A.   +2 more
europepmc   +1 more source

Modeling and analyzing V2V communication limitations impacts on connected and automated vehicle platoons. [PDF]

PLoS One
Dai Y, Hu L, Liu Y, Yang A.
europepmc   +1 more source

Deep learning-based caching optimization for VR 360° videos in vehicular edge computing. [PDF]

Sci Rep
Khan S, Zhang J, Soothar KK, Ahmad I, Ahmad S, Ali I.   +5 more
europepmc   +1 more source

A cognitive internet of things resource allocation method based on multi-agent reinforcement learning algorithm. [PDF]

Sci Rep
Wang R, Shen Y, Wang D, Li W.
europepmc   +1 more source

Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]

Sci Rep
Liu Q, Ma Y.
europepmc   +1 more source