Content Caching and Delivery in Heterogeneous Vehicular Networks
Connected and automated vehicles (CAVs), which enable information exchange and content delivery in real time, are expected to revolutionize current transportation systems. However, the emerging CAV applications such as content delivery pose stringent requirements on latency, throughput, and global connectivity. To empower multifarious CAV content delivery, heterogeneous vehicular networks (HetVNets), which integrate the terrestrial networks with aerial networks and space networks, can guarantee reliable, flexible, and globally seamless service provisioning. In addition, edge caching can facilitate content delivery by caching popular files in the HetVNet access points (APs) to relieve the backhaul traffic with a lower delivery delay. In this talk, we investigate the content caching and delivery schemes in the caching-enabled HetVNet. First, we study the content caching in terrestrial HetVNets with intermittent network connections. A coding-based caching scheme is designed and a matching-based content placement algorithm is proposed to minimize the content delivery delay. Second, UAV-aided caching is considered to assist vehicular content delivery in aerial-ground vehicular networks (AGVN) and a joint caching and trajectory optimization (JCTO) problem is investigated to jointly optimize content caching, content delivery, and UAV trajectory. To enable real-time decision-making in highly dynamic vehicular networks, we propose a deep supervised learning scheme to solve the JCTO problem. Third, we investigate caching-assisted cooperative content delivery in space-air-ground integrated vehicular networks (SAGVNs), where the vehicle-to-AP association, bandwidth allocation, and content delivery ratio are jointly optimized. To address the tightly coupled optimization variables, we propose a load- and mobility-aware cooperative delivery scheme to solve the joint optimization problem with the consideration of user fairness, load balancing, and vehicle mobility.
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- Date: 30 Mar 2021
- Time: 07:00 PM to 08:00 PM
- All times are (GMT-05:00) Canada/Eastern
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- 350 Victoria Street
- Toronto, Ontario
- Canada M5B 2K3
- Starts 19 March 2021 11:33 AM
- Ends 30 March 2021 11:33 PM
- All times are (GMT-05:00) Canada/Eastern
- No Admission Charge
Speakers
Content Caching and Delivery in Heterogeneous Vehicular Networks
Biography:
Huaqing Wu received the B.E. and M.E. degrees in Electrical Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2014 and 2017, respectively. She is currently working toward the Ph.D. degree at the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. Her current research interests include vehicular networks with emphasis on edge caching, wireless resource management, space-air-ground integrated networks, and application of artificial intelligence (AI) for wireless networks. She has authored/co-authored more than 30 technical papers which are published in prestigious refereed journals (IEEE JSAC, TWC, WCM, etc.) and conferences (IEEE ICC, Globecom, VTC, etc.).
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