Abstract
This paper investigates the semi-persistent scheduling (SPS) strategy for enhanced vehicle-to-everything (eV2X) services, which aims to meet the low latency and high reliability (LLHR) demands. To increase available spectrum and improve resource utilization, millimeter wave (mmWave) and non-orthogonal multiple access (NOMA) are considered. We first formulate the optimization problem of scheduling and resource allocation to minimize the SPS period. To solve this problem, the LLHR power control algorithm is proposed to provide evaluation indicators for user scheduling. Then, the beam division and user clustering algorithm is designed to reduce the complexity of the matching between users and resource blocks. After that, the matching problem with peer effects is solved by the proposed union-based matching algorithm. Complexity analysis is presented, and simulation results show that the scheduling period of eV2X systems can be improved by the proposed SPS strategy compared with the conventional mmWave SPS schemes.
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Acknowledgment
This work was supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province under grant number SJKY19_2285.
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Shi, F., Wang, B., Shi, R., Tang, J., Hu, J. (2020). MmWave-NOMA-Based Semi-persistent Scheduling for Enhanced V2X Services. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_15
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DOI: https://doi.org/10.1007/978-3-030-41114-5_15
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