2018 IEEE International Symposium on Information Theory (ISIT) 2018
DOI: 10.1109/isit.2018.8437574
|View full text |Cite
|
Sign up to set email alerts
|

Erasure Coding for Decentralized Coded Caching

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
10
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(10 citation statements)
references
References 9 publications
0
10
0
Order By: Relevance
“…The use of maximum distance separable (MDS) codes in coded caching was studied in [9]- [12]. MDS codes can provide redundant packets to reduce the transmission load in caching networks.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The use of maximum distance separable (MDS) codes in coded caching was studied in [9]- [12]. MDS codes can provide redundant packets to reduce the transmission load in caching networks.…”
Section: Introductionmentioning
confidence: 99%
“…In [10], the authors investigated the employment of MDS codes in constructing coded multicasting messages for requests on the same file and different files. In [11] and [12], an MDS codes based decentralized coded caching was proposed, where the server first encodes each file by MDS codes and then performs random placement and delivery on the MDS coded files.…”
Section: Introductionmentioning
confidence: 99%
“…Caching furthermore facilitates indexcoded broadcasts to multiple users requesting different content, which has been shown to drastically reduce the amount of data that has to be transmitted over the SBS-to-device downlink [7]. ECCs have also been used in conjunction with index coding to ensure data availability at broadcasting devices in D2D caching networks [8] as well as to provide index-coding broadcast opportunities to subsets of users [9], [10]. All these works consider the cached content to be static for a period of time (e.g., a day) according to a given file popularity distribution.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed caching scheme is proved to be order optimal and achieves an additive parallel gain by fully exploiting the opportunity of concurrent transmission at the server and relays. The decentralized content caching and delivery is also widely applied into other contexts, including caching through coded prefetching [26], caching with diverse cache capacities [27], [28], coded caching in the finite file size regime [29], as well as a coded placement based on erasure coding over individual files [30].…”
Section: Introductionmentioning
confidence: 99%