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Call for Papers: Networking, Caching and Computation Issues in UAV-Enabled B5G Wireless Communication

Virtual Reality (VR) and automotive vehicles are emerging rapidly in recent years due to their ability to gain a real immersive experience and bring great convenience in our life. These emerging applications have posed significant demands not only on ultra-high data rate but also on high caching and computation capabilities. However, the growth in communication capability alone is no longer sustainable for wireless networks. Meanwhile, the current wireless communication network is still far from the practical requirements of the innovative applications. Therefore, the integration of networking, caching and computation into one system becomes a natural trend. By incorporating caching functionality into the network, it can provide not only low latency (less than 20ms) and ultra-high transmission rate requirement (on the order of Gigabytes), but also efficient content retrieval and powerful capability of data processing. Caching can play a fundamental role in this emerging era in communication networks, by increasing the performance of the offered services, reducing operating and capital expenditures.

Potential topics include but are not limited to the following:

  • Trends and challenges of integrating networking, caching and computing
  • UAV in B5G wireless communications
  • Network design and architecture in B5G wireless communications
  • Performance evaluation and modelling in B5G wireless communications
  • Security, privacy and trust in UAV-Enabled B5G wireless communications
  • Computation offloading in UAV-Enabled B5G wireless communications
  • Content caching and delivery in UAV-Enabled B5G wireless communications
  • Joint optimization of caching and computing in UAV-Enabled B5G wireless communications
  • Ultra-reliable and low-latency in UAV-Enabled B5G wireless communications
  • Mobile Edge computation (MEC) in UAV-Enabled B5G wireless communications
  • Reliability, mobility and connectivity in UAV-Enabled B5G wireless communications
  • Energy efficiency in UAV-Enabled B5G wireless communications
  • Novel artificial intelligence algorithms in UAV-Enabled B5G wireless communications

Deadline for submissions
5 May 2020

Lead Guest Editor: Chunguo Li, Southeast University, Nanjing, China

Guest Editors:
Yunfei Chen, University of Warwick, UK
Zheng Chang, University of Jyvaskyla, Jyvaskyla, Finland
Nan Zhao, Dalian University of Technology, Dalian, China
Mu Zhou, Chongqing University of Posts and Telecommunications, China
Pan Cao, University of Hertfordshire, Herts, UK