Performance analysis of hybrid UAV networks for probabilistic content caching
| Autor: | Aziz Altaf Khuwaja, Gan Zheng, Yongxu Zhu, Wei Liu, Yunfei Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
021103 operations research
Content popularity Computer Networks and Communications Computer science business.industry TL TK 0211 other engineering and technologies Probabilistic logic Content delivery ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Channel models Computer Science Applications Backhaul (telecommunications) Base station Traffic congestion Control and Systems Engineering Electrical and Electronic Engineering business Information Systems Computer network Efficient energy use |
| ISSN: | 1932-8184 |
| Popis: | Caching content in small-cell networks can reduce the traffic congestion in backhaul. In this article, we develop a hybrid caching network comprising of unmanned aerial vehicles (UAVs) and ground small-cell base stations (SBSs), where UAVs are preferred because of their flexibility and elevated platform for line of sight. First, we derive the association probability for the ground user affiliated with a UAV and ground SBS. Then, we derive the successful content delivery probability by considering both the intercell and intracell interference. We also analyze the energy efficiency of the hybrid network and compare it with the separate UAV and ground networks. We further propose the caching scheme to improve the successful content delivery by managing the content popularity, where the part of the caching capacity in each UAV and ground SBS is reserved to store the most popular content (MPC), while the remaining stores less popular contents. Numerical results unveil that the proposed caching scheme has an improvement of 26.6% in content delivery performance over the MPC caching, which overlooks the impact of content diversity during caching.\ud |
| Databáze: | OpenAIRE |
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