Stochastic Design and Analysis of User-Centric Wireless Cloud Caching Networks
| Autor: | Masoumeh Nasiri-Kenari, Merouane Debbah, Seyed Mohammad Azimi-Abarghouyi |
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| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Computer science business.industry Applied Mathematics Distributed computing Probabilistic logic 020206 networking & telecommunications Cloud computing 02 engineering and technology Computer Science Applications 0202 electrical engineering electronic engineering information engineering Key (cryptography) Wireless Cache Electrical and Electronic Engineering business Selection (genetic algorithm) |
| Zdroj: | IEEE Transactions on Wireless Communications. 19:4978-4993 |
| ISSN: | 1558-2248 1536-1276 |
| DOI: | 10.1109/twc.2020.2988559 |
| Popis: | This paper develops a stochastic geometry-based approach for the modeling, analysis, and optimization of wireless cloud caching networks comprised of multiple-antenna radio units (RUs) inside clouds with coordinated multi-point transmissions and guard zones. We consider Poisson cluster processes to model RUs and users, and the probabilistic content placement to cache files in RUs. Accordingly, we study the exact hit probability for a user of interest for two strategies; closest selection, where the user is served by the closest RU that has its requested file, and best power selection, where the serving RU having the requested file provides the maximum instantaneous received power at the user. As key steps for the analyses, the Laplace transform of out of cloud interference, the desired link distance distribution in the closest selection, and the desired link received power distribution in the best power selection are derived. Also, we approximate the derived exact hit probabilities for both the closest and the best power selections in such a way that the related objective functions for the content caching design of the network can lead to tractable concave optimization problems. Solving the optimization problems, we propose algorithms to efficiently find their optimal content placements. Finally, we investigate the impact of different parameters on the caching performance. |
| Databáze: | OpenAIRE |
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