Open AccessPower Optimization for Spectrum Sharing in Vehicular Networks
Author(s) -
L. Thulasimani,
A. Antinita Shilpha Daly
Publication year - 2021
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f8703.0410621
Subject(s) - computer science , reliability (semiconductor) , vehicular ad hoc network , vehicular communication systems , markov chain , computer network , power (physics) , distributed computing , graph , real time computing , wireless ad hoc network , telecommunications , wireless , machine learning , theoretical computer science , physics , quantum mechanics
The main goal of vehicular communication is to provide a more safe and efficient vehicular operation. The challenge in a Vehicle-to-Everything (V2X) network is to provide reliable connectivity for the Vehicle-to-Vehicle (V2V) links and high data rate connectivity for the Vehicle-to-Infrastructure (V2I) links at the same time. This requirement leads to spectrum sharing in vehicular communication. As the vehicular systems increases, the transmit power levels increases in the environment which in turn causes harmful effects on the atmosphere. The objective of this paper is to analyze the graph-based spectrum sharing algorithms that are available for vehicular communication and to develop a power optimization algorithm based on Hidden Markov Model (HMM) and to incorporate it into these algorithms in such a way to achieve better sum capacity for the V2I links along with a guaranteed reliability for the V2V links.