Performance Improvements in Cooperative Downloading: Encoding and Strategies for Heterogeneous Vehicular Networks

Author:

Niebisch Michael1,Pfaller Daniel2,German Reinhard1,Djanatliev Anatoli1

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg,Computer Networks and Communication Systems,Erlangen,Germany

2. AUDI AG,Ingolstadt,Germany

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Vehicular Cooperative Downloading with Continuous Seeding Through Deep Reinforcement Learning;2023 IEEE Latin-American Conference on Communications (LATINCOM);2023-11-15

2. On the Benefits of Opportunistic WiFi in Cooperative Downloading;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

3. CoDiPy: Performance Evaluation of Vehicular Cooperative Downloading in Python;2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob);2022-10-10

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