Graduate School and Research Center in Digital Sciences

Optimal coded caching under statistical QoS information

Parrinello, Emanuele; Ünsal, Ayse; Elia, Petros

ISIT 2019, IEEE International Symposium on Information Theory, 7-12 July 2019, Paris, France

The work studies the K-user shared-link broadcast channel with coded caching, where each user’s file-request comes with a certain Quality-of-Service (QoS) requirement, thus allowing – in the context of multi-layered coding – users to download only those file layers that are necessary to meet their own QoS requirements. The work characterizes the exact optimal worst-case delivery time, under the assumption of uncoded cache placement that is oblivious to the individual QoS requirement of each user. The work derives a new index coding based information theoretic converse, which interestingly tells us exactly how to optimally cache.

Document Doi Bibtex

Title:Optimal coded caching under statistical QoS information
Type:Conference
Language:English
City:Paris
Country:FRANCE
Date:
Department:Communication systems
Eurecom ref:5890
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Bibtex: @inproceedings{EURECOM+5890, doi = {http://dx.doi.org/10.1109/ISIT.2019.8849569}, year = {2019}, title = {{O}ptimal coded caching under statistical {Q}o{S} information}, author = {{P}arrinello, {E}manuele and {\"{U}}nsal, {A}yse and {E}lia, {P}etros}, booktitle = {{ISIT} 2019, {IEEE} {I}nternational {S}ymposium on {I}nformation {T}heory, 7-12 {J}uly 2019, {P}aris, {F}rance }, address = {{P}aris, {FRANCE}}, month = {07}, url = {http://www.eurecom.fr/publication/5890} }
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