mmWave Enabled Connected Autonomous Vehicles: A Use Case with V2V Cooperative Perception

Autor:	Mollah, Muhammad Baqer, Wang, Honggang, Karim, Mohammad Ataul, Fang, Hua
Rok vydání:	2023
Předmět:	Computer Science - Networking and Internet Architecture Computer Science - Social and Information Networks Electrical Engineering and Systems Science - Systems and Control
Zdroj:	IEEE Network, 2023
Druh dokumentu:	Working Paper
DOI:	10.1109/MNET.2023.3321520
Popis:	Connected and autonomous vehicles (CAVs) will revolutionize tomorrow's intelligent transportation systems, being considered promising to improve transportation safety, traffic efficiency, and mobility. In fact, envisioned use cases of CAVs demand very high throughput, lower latency, highly reliable communications, and precise positioning capabilities. The availability of a large spectrum at millimeter-wave (mmWave) band potentially promotes new specifications in spectrum technologies capable of supporting such service requirements. In this article, we specifically focus on how mmWave communications are being approached in vehicular standardization activities, CAVs use cases and deployment challenges in realizing the future fully connected settings. Finally, we also present a detailed performance assessment on mmWave-enabled vehicle-to-vehicle (V2V) cooperative perception as an example case study to show the impact of different configurations. Comment: 8 Pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2310.09700 Zobrazit plný text záznamu View this record from Arxiv