Individual Preference Aware Caching Policy Design in Wireless D2D Networks

Ming Chun Lee*, Andreas F. Molisch

*Corresponding author for this work

研究成果: Article同行評審

摘要

Cache-aided wireless device-to-device (D2D) networks allow significant throughput increase, depending on the concentration of the popularity distribution of files. Many studies assume that all users have the same preference distribution; however, this may not be true in practice. This work investigates whether and how the information about individual preferences can benefit cache-aided D2D networks. We examine a clustered network and derive a network utility that considers both the user distribution and channel fading effects into the analysis. We also formulate a utility maximization problem for designing caching policies. This maximization problem can be applied to optimize several important quantities, including throughput, energy efficiency (EE), cost, and hit-rate, and to solve different tradeoff problems. We provide a general approach that can solve the proposed problem under the assumption that users coordinate, then prove that the proposed approach can obtain the stationary point under a mild assumption. Using simulations of practical setups, we show that performance can improve significantly with proper exploitation of individual preferences. We also show that different types of tradeoffs exist between different performance metrics and that they can be managed through caching policy and cooperation distance designs.

原文English
文章編號9098073
頁(從 - 到)5589-5604
頁數16
期刊IEEE Transactions on Wireless Communications
19
發行號8
DOIs
出版狀態Published - 八月 2020

指紋 深入研究「Individual Preference Aware Caching Policy Design in Wireless D2D Networks」主題。共同形成了獨特的指紋。

引用此