Individual Preference Aware Caching Policy Design in Wireless D2D Networks

Ming Chun Lee*, Andreas F. Molisch

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations

    Abstract

    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.

    Original languageEnglish
    Article number9098073
    Pages (from-to)5589-5604
    Number of pages16
    JournalIEEE Transactions on Wireless Communications
    Volume19
    Issue number8
    DOIs
    StatePublished - Aug 2020

    Keywords

    • cooperative caching
    • device-to-device (D2D) communications
    • individual user preference
    • Wireless caching network

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