作者
Matthew Szeto, Edward Andert, Aviral Shrivastava, Martin Reisslein, Chung-Wei Lin, Christ Richmond
发表日期
2023/9/9
期刊
ACM Transactions on Embedded Computing Systems
卷号
22
期号
5s
页码范围
1-23
出版商
ACM
简介
5G Millimeter Wave (mmWave) technology holds great promise for Connected Autonomous Vehicles (CAVs) due to its ability to achieve data rates in the Gbps range. However, mmWave suffers from a high beamforming overhead and requirement of line of sight (LOS) to maintain a strong connection. For Vehicle-to-Infrastructure (V2I) scenarios, where CAVs connect to roadside units (RSUs), these drawbacks become apparent. Because vehicles are dynamic, there is a large potential for link blockages. These blockages are detrimental to the connected applications running on the vehicle, such as cooperative perception and remote driver takeover. Existing RSU selection schemes base their decisions on signal strength and vehicle trajectory alone, which is not enough to prevent the blockage of links. Many modern CAVs motion planning algorithms routinely use other vehicle’s near-future path plans, either by explicit …
学术搜索中的文章
M Szeto, E Andert, A Shrivastava, M Reisslein, CW Lin… - ACM Transactions on Embedded Computing Systems, 2023