Energy-Efficient Autonomous Resource Selection for Power-Saving Users in NR V2X
Soleymani DM, Ravichandran L, Gholami MR, Del Galdo G, Harounabadi M (2021)
Publication Type: Conference contribution
Publication year: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2021-September
Pages Range: 972-978
Conference Proceedings Title: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Event location: Virtual, Helsinki, FIN
ISBN: 9781728175867
DOI: 10.1109/PIMRC50174.2021.9569365
Abstract
Energy efficiency has recently drawn significant attention in diverse applications, such as vehicle-to-everything (V2X) communications. This paper investigates a joint energy efficiency and sum-rate maximization problem in autonomous resource selection in the 5G new radio (NR) vehicular communication while catering for reliability and latency requirements. An autonomous resource allocation problem is formulated as a ratio of sum-rate to energy consumption, where the objective is to maximize the total energy efficiency of power-saving users subject to the reliability and latency requirements. The energy efficiency problem is a mixed-integer programming optimization problem that is computationally complex when the number of users increases. Therefore, a heuristic algorithm, density of traffic-based resource allocation (DeTRA), is proposed to solve the problem. The traffic density per traffic type is considered a metric to split the radio resources and trigger an appropriate resource selection strategy. The simulation results show that the proposed algorithm outperforms the existing schemes in terms of energy efficiency.
Involved external institutions
Germany (DE)
Sweden (SE)How to cite
APA:
Soleymani, D.M., Ravichandran, L., Gholami, M.R., Del Galdo, G., & Harounabadi, M. (2021). Energy-Efficient Autonomous Resource Selection for Power-Saving Users in NR V2X. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC (pp. 972-978). Virtual, Helsinki, FIN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Soleymani, Dariush Mohammad, et al. "Energy-Efficient Autonomous Resource Selection for Power-Saving Users in NR V2X." Proceedings of the 32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021, Virtual, Helsinki, FIN Institute of Electrical and Electronics Engineers Inc., 2021. 972-978.
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