Power Optimization for Spectrum Sharing in Vehicular Networks
L. Thulasimani1, A. Antinita Shilpha Daly2
1Dr. L. Thulasimani*, ECE Department, PSG College of Technology, Coimbatore, India.
2A. Antinita Shilpha Daly, ECE Department, PSG College of Technology, Coimbatore, India.
Manuscript received on March 25, 2021. | Revised Manuscript received on April 01, 2021. | Manuscript published on April 30, 2021. | PP: 10-13 | Volume-10 Issue-6, April 2021 | Retrieval Number: 100.1/ijitee.F87030410621| DOI: 10.35940/ijitee.F8703.0410621
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: V2V, V2I, Resource allocation, Power optimization.