计算、通信、感知、量子技术国际会议将于2022年8月5日-7日在福建厦门召开，诚挚邀请大家投稿至 Workshop 24：Architecture, Protocol, and Algorithm for UAV-Assisted Vehicular Networks，投稿截止日期为2022年5月20日。

请将投稿主题命名为： ”papertitle_workshop 24”然后将文章投至ccpqt_paper@126.com。高质量的录用稿件将被推荐到SCI期刊发表。

【IEEE/CPS】 

Workshop 24：Architecture, Protocol, and Algorithm for

UAV-Assisted Vehicular Networks

Summary：

We are on the cusp of a new era of intelligent transportation. As a key enabler for intelligent transportation systems (ITS), vehicular networks encompass a broad range of information technologies including vehicle-to-everything (V2X), mobile edge computing (MEC), cloud computing, and blockchain. Although vehicular networks offer improved performance with advanced services, the explosive growth of communication devices and the rising demand for many emerging services will bring new communication challenges to the vehicular networks. It is anticipated that the communication systems integrated with unmanned aerial vehicles (UAVs) will satisfy these requirements of the next-generation vehicular networks. Due to the high flexible mobility, UAV-assisted vehicular networks will bring far-reaching and transformative benefits with significantly enhanced reliability and security, extremely higher data rates, massive and hyper-fast wireless access, as well as much smarter, longer, and greener three-dimensional (3D) communication coverage.

This special issue will focus on (but not limited to) the topics: Protocol design and analysis for UAV-assisted V2X; Resource management and mobility management; Cross-layer protocol design for UAV-assisted vehicular networks; UAV-assisted Delay-tolerant vehicular networks; Energy harvesting and management for UAV-assisted V2X; Non-orthogonal multiple access (NOMA) enhanced UAV-assisted vehicular networks; UAV-assisted vehicular networks applications and services; V2X communications in 5G and beyond; Vehicular/mobile edge/cloud computing; Peer-to-peer services in UAV-assisted vehicular networks; Performance and quality of service; Routing and transport protocol; UAV-assisted vehicular networks based on artificial intelligence (AI); Sensors for vehicular technologies; Blockchains for UAV-assisted vehicular networks; Terminal intelligence; Security and privacy-preserving schemes for UAV-assisted vehicular networks; Channel measurement and modeling for UAV-assisted vehicular networks.

Keywords：

Unmanned Aerial Vehicles, Vehicular Networks, Mobile Edge Computing, Protocol Design; Resource Management, Performance Analysis; 5G and Beyond

Chair： Daosen Zhai

Northwestern Polytechnical University

Daosen Zhai received his Ph.D. degree in communication and information systems from Xidian University, Xi’an, China, in 2017. From 2014-2015, he was a research assistant in City University of Hong Kong. Now, he is an assistant professor with the School of Electronics and Information, Northwestern Polytechnical University. His research interests focus on radio resource management in B5G and 6G, massive access techniques, air-and-ground integrated networks, and convex optimization and graph theory and their applications in wireless communications. He has published more than 60 prestigious journal and conference papers on these topics. He is the recipient of the Postdoctoral Innovative Talent Support Program of China in 2018 and the Excellent Doctoral Dissertation Award of Shaanxi Province in 2019.