Beitrag in einem Tagungsband
Resource Scheduling for V2V Communications in Co-Operative Automated Driving
Details zur Publikation
Autor(inn)en: | Keshavamurthy, P.; Pateromichelakis, E.; Dahlhaus, D.; Zhou, C. |
Herausgeber: | IEEE |
Verlag: | IEEE |
Verlagsort / Veröffentlichungsort: | Piscataway, NJ |
Publikationsjahr: | 2020 |
Seitenbereich: | TBD |
Buchtitel: | 2020 IEEE Wireless Communications and Networking Conference (WCNC) |
ISBN: | 978-1-7281-3107-8 |
eISBN: | 978-1-7281-3106-1 |
DOI-Link der Erstveröffentlichung: |
Co-operative automated driving (CAD) use cases involve group-based
vehicle-to-vehicle (V2V) communications with a wide range of
quality-of-service (QoS) requirements. This work introduces and exploits
fifth generation mobile networks (5G) functional architecture support
for vehicle-to-everything (V2X) applications to address V2V sidelink
radio resource management (RRM) for CAD use cases. A QoS
requirement-aware sidelink resource allocation optimization problem is
formulated for multicast group V2V communications with reliability
constraints and half-duplex limitation. Furthermore, the problem is
analyzed for cloud-based sidelink RRM and a dynamic vehicular
environment. Accounting for the challenges in acquiring channel state
information (CSI), a low-complexity scheduling scheme is presented that
makes use of slowly varying large-scale channel parameters (e.g. path
loss). Simulation results show significant gains in terms of packet
delay performance while meeting the reliability requirements on V2V
links.