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Benefits of cache assignment on degraded broadcast channels

  • Stanford University
  • Université Paris-Saclay
  • Pennsylvania State University

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Résumé

The degraded K-receiver broadcast channel (BC) is studied when receivers are aided with cache memories. Lower and upper bounds are derived on the capacity-memory tradeoff, i.e., on the largest rate that can be achieved as a function of the receivers' cache sizes. The lower bounds are achieved by two new coding schemes that benefit from non-uniform cache assignment. The paper also provides lower and upper bounds on the global capacity-memory tradeoff of degraded BCs, i.e., on the largest capacity-memory tradeoff that can be attained by optimizing the receivers cache-assignment subject to a total cache memory budget. The bounds coincide when the total cache memory budget is sufficiently small or sufficiently large, with the thresholds depending on the BC statistics. For a small total cache budget M, it is optimal to assign all the cache memory to the weakest receiver. In this regime, the global capacity-memory tradeoff grows as M/D, where D denotes the total number of files in the system. For a large total cache budget, it is optimal to assign a positive cache memory to every receiver, where weaker receivers are assigned larger cache memories than stronger receivers. When the total cache budget M exceeds a threshold, then the global capacity-memory tradeoff grows as 1/K.M/D.A uniform cache-assignment policy is suboptimal.

langue originaleAnglais
titre2017 IEEE International Symposium on Information Theory, ISIT 2017
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages1222-1226
Nombre de pages5
ISBN (Electronique)9781509040964
Les DOIs
étatPublié - 9 août 2017
Modification externeOui
Evénement2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Allemagne
Durée: 25 juin 201730 juin 2017

Série de publications

NomIEEE International Symposium on Information Theory - Proceedings
Volume0
ISSN (imprimé)2157-8095

Une conférence

Une conférence2017 IEEE International Symposium on Information Theory, ISIT 2017
Pays/TerritoireAllemagne
La villeAachen
période25/06/1730/06/17

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