A Unified Framework for Caching in Arbitrary Networks

Yawei Lu, Wei Chen, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Proactive caching holds the promise of improving network throughput and lowering transmission costs in content-centric networks. However, how to encode data in cache-aided networks is still an open problem. In this paper, a two-phase caching system is investigated, in which users are equipped with buffers and user requests are characterized by a probability measure. Based on content division, a unified framework for caching in arbitrary networks is presented. From the perspective of linear space, optimization problems are formulated to obtain the optimal linear coded joint placement and delivery (LCJPD) policy. A low-complexity algorithm is also proposed to give a sub-optimal LCJPD policy. Simulation results demonstrate that caching in networks can significantly reduce the transmission cost.

Original languageEnglish (US)
Title of host publication2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668115
DOIs
StatePublished - Jan 31 2019
Event23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
Duration: Nov 19 2018Nov 21 2018

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2018-November

Conference

Conference23rd IEEE International Conference on Digital Signal Processing, DSP 2018
CountryChina
CityShanghai
Period11/19/1811/21/18

All Science Journal Classification (ASJC) codes

  • Signal Processing

Keywords

  • Proactive caching in networks
  • linear coded joint placement and delivery
  • transmission cost

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  • Cite this

    Lu, Y., Chen, W., & Poor, H. V. (2019). A Unified Framework for Caching in Arbitrary Networks. In 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018 [8631684] (International Conference on Digital Signal Processing, DSP; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2018.8631684