Research Article
MmWave-NOMA-Based Semi-persistent Scheduling for Enhanced V2X Services
@INPROCEEDINGS{10.1007/978-3-030-41114-5_15, author={Fanwei Shi and Bicheng Wang and Ruoqi Shi and Jian Tang and Jianling Hu}, title={MmWave-NOMA-Based Semi-persistent Scheduling for Enhanced V2X Services}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2020}, month={2}, keywords={NOMA mmWave eV2X Hybrid precoding Semi-persistent scheduling}, doi={10.1007/978-3-030-41114-5_15} }- Fanwei Shi
Bicheng Wang
Ruoqi Shi
Jian Tang
Jianling Hu
Year: 2020
MmWave-NOMA-Based Semi-persistent Scheduling for Enhanced V2X Services
CHINACOM
Springer
DOI: 10.1007/978-3-030-41114-5_15
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.
