Energy-Efficient Spectrum Sharing for Cellular V2X Communications

Increasingly scarce spectrum resources prompt spectrum sharing to be quite a potential solution to improve efficiency in the scenario of cellular vehicle-to-everything (CV2X), yet the respective quality of service (QoS) of different kinds of communication links should not be overlooked or confused. Besides, in response to the demand for green communication, the energy efficiency (EE) at the system level should be taken into consideration. Therefore, an energy-efficient spectrum sharing scheme with controllable interference is proposed in this paper, focusing on reusing spectrum between two typical technologies with different QoS requirements in C-V2X, more specifically, vehicle-to-infrastructure (V2I) with required capacity and vehicle-to-vehicle (V2V) with specific reliability. As an algorithm to achieve the optimal solution by imitating the natural evolution, a modified genetic algorithm (GA) with infeasible solution repairing is adopted to maximize the system EE thanks to its capability to cope with complex problems and reach the global optimal solution. Simulation results show that GA obtains a satisfactory convergence and the proposed spectrum sharing scheme effectively promotes the system EE.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10827175
Primary Topic
Advanced MIMO Systems Optimization
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article
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article

Energy-Efficient Spectrum Sharing for Cellular V2X Communications

Yuxin Zhu, Lin Zhu, Junhui Zhao, Yi Gong et al.
Advanced MIMO Systems Optimization
article

Energy-Efficient Spectrum Sharing for Cellular V2X Communications

Yuxin Zhu, Lin Zhu, Junhui Zhao, Yi Gong, Wenqi Yang
article en

Abstract

Increasingly scarce spectrum resources prompt spectrum sharing to be quite a potential solution to improve efficiency in the scenario of cellular vehicle-to-everything (CV2X), yet the respective quality of service (QoS) of different kinds of communication links should not be overlooked or confused. Besides, in response to the demand for green communication, the energy efficiency (EE) at the system level should be taken into consideration. Therefore, an energy-efficient spectrum sharing scheme with controllable interference is proposed in this paper, focusing on reusing spectrum between two typical technologies with different QoS requirements in C-V2X, more specifically, vehicle-to-infrastructure (V2I) with required capacity and vehicle-to-vehicle (V2V) with specific reliability. As an algorithm to achieve the optimal solution by imitating the natural evolution, a modified genetic algorithm (GA) with infeasible solution repairing is adopted to maximize the system EE thanks to its capability to cope with complex problems and reach the global optimal solution. Simulation results show that GA obtains a satisfactory convergence and the proposed spectrum sharing scheme effectively promotes the system EE.

Beijing Jiaotong University (CN), Southern University of Science and Technology (CN), Jiangxi College of Applied Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Advanced MIMO Systems Optimization
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