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Fundamental Limits of Coded Caching in Request-Robust D2D Communication Networks.

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This study introduces request-robust D2D coded caching to handle varying user demands. A new scheme improves delivery rates, outperforming existing methods in most scenarios.

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coded cachingdevice-to-deviceorder-optimal schemerequest-robust

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Area of Science:

  • Wireless Communication
  • Information Theory
  • Network Coding

Background:

  • Device-to-Device (D2D) coded caching enhances communication efficiency.
  • Prior D2D caching models assume all users request content simultaneously, which is unrealistic.
  • Real-world scenarios involve a subset of users requesting content, necessitating robust caching strategies.

Purpose of the Study:

  • To address the limitations of existing D2D coded caching by introducing the "request-robust D2D coded caching" problem.
  • To minimize average and worst-case delivery rates in D2D networks with partial user requests.
  • To develop and analyze caching schemes that are resilient to varying user demands.

Main Methods:

  • Formulation of the request-robust D2D coded caching problem with K users and N files, where only r users are requesters.
  • Proposal of a novel scheme based on uncoded cache placement, exploiting common demands and one-shot delivery.
  • Derivation of information-theoretic converse bounds under uncoded cache placement.
  • Adaptation and performance analysis of existing schemes (Yapar et al.) for the request-robust scenario.

Main Results:

  • A new caching scheme is proposed for request-robust D2D coded caching.
  • The adapted scheme by Yapar et al. is shown to be order optimal within a factor of two (uncoded placement) and four (general case).
  • Numerical evaluations demonstrate the proposed scheme's superiority over existing D2D caching methods in request-robust settings for most cache sizes.

Conclusions:

  • The proposed scheme effectively addresses the request-robust D2D coded caching problem.
  • The developed scheme offers significant performance improvements in terms of delivery rates compared to existing methods.
  • This work advances D2D caching by providing a practical solution for scenarios with non-simultaneous user demands.