Title | ||
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Joint Content-Prefetching, Transmission Scheduling, and Rate Adaptation in Vehicular Networks |
Abstract | ||
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Content prefetching at road side units (RSUs) in vehicular networks can improve users’ experience by reducing the average data access latency. Prefetching algorithms proposed in the literature usually rely on a fixed modulation scheme, that corresponds to the lowest possible data rate for RSU-to-vehicles transmission. As a consequence, the network bandwidth is often inefficiently used. In this art... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TVT.2022.3147979 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Prefetching,Unicast,Trajectory,Broadcasting,Adaptation models,Numerical models,Data models | Journal | 71 |
Issue | ISSN | Citations |
4 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sara Berri | 1 | 0 | 1.35 |
Jun Zhang | 2 | 3772 | 190.36 |
Brahim Bensaou | 3 | 1043 | 101.38 |
Houda Labiod | 4 | 0 | 0.34 |