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Cache-Aided General Linear Function Retrieval.

Kai Wan1, Hua Sun2, Mingyue Ji3

  • 1Electrical Engineering and Computer Science Department, Technische Universität Berlin, 10587 Berlin, Germany.

Entropy (Basel, Switzerland)
|December 30, 2020
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Summary
This summary is machine-generated.

This study introduces a novel coded caching scheme for efficient network traffic reduction. The new method outperforms existing uncoded caching techniques for retrieving linear combinations of data.

Keywords:
coded cachinglinear function retrievaluncoded cache placement

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Area of Science:

  • Information Theory
  • Computer Engineering
  • Telecommunications

Background:

  • Coded caching reduces network load by caching content during low-traffic periods and using multicast transmissions during high-traffic times.
  • Existing coded caching schemes primarily focus on retrieving single files or element-wise linear functions.

Purpose of the Study:

  • To extend coded caching to settings where users retrieve multiple linear combinations of server data.
  • To design a novel coded caching scheme for this generalized linear function retrieval problem.

Main Methods:

  • The paper proposes a new coded caching scheme tailored for retrieving multiple linear combinations of data.
  • The scheme is compared against uncoded caching strategies using unicast transmissions and full file recovery.

Main Results:

  • The novel coded caching scheme demonstrates superior performance compared to uncoded caching methods.
  • The proposed scheme effectively handles the retrieval of multiple linear combinations of data.

Conclusions:

  • The developed coded caching scheme is effective for retrieving linear combinations of data, outperforming existing methods.
  • This work advances coded caching by addressing more complex data retrieval scenarios.