Abstract
Intelligent connected vehicles (ICVs) are usually expected to run a huge number of emerging smart applications (e.g., autonomous driving, safety early warning, natural language processing, etc.) for assisting both the drivers and passengers in vehicular environments. These kinds of applications typically require significant computing power to perform computation-intensive and latency-sensitive tasks generated by the vehicle sensors for low-latency response. However, the limited computation capacity of on-board computers makes it difficult to satisfy the computation requirements of quality-of-experience (QoE)-demanding applications. To tackle the challenge, fog/edge computing is proposed as innovative computing paradigms to extend computing capacity to the network edge to meet the requirements. This Special Section in IEEE Access focuses on innovative technologies and solutions enabled communication and edge computing toward ICVs.
Highlights
Intelligent connected vehicles (ICVs) are usually expected to run a huge number of emerging smart applications for assisting both the drivers and passengers in vehicular environments
Fog/edge computing is proposed as innovative computing paradigms to extend computing capacity to the network edge to meet the requirements. This Special Section in IEEE ACCESS focuses on innovative technologies and solutions enabled communication and edge computing toward ICVs
In the article ‘‘Deep learning-based channel prediction for edge computing networks toward intelligent connected vehicles,’’ by Liu et al, a novel channel prediction model based on deep learning approach is proposed for improving the performance of forecasting the channel state information (CSI) in the field of edge computing networks
Summary
Intelligent connected vehicles (ICVs) are usually expected to run a huge number of emerging smart applications (e.g., autonomous driving, safety early warning, natural language processing, etc.) for assisting both the drivers and passengers in vehicular environments. SPECIAL SECTION ON COMMUNICATION AND FOG/EDGE COMPUTING TOWARD INTELLIGENT CONNECTED VEHICLES (ICVS)
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