2018
DOI: 10.1109/tit.2017.2768517
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Coded Caching Under Arbitrary Popularity Distributions

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Cited by 137 publications
(170 citation statements)
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“…Although we have characterized the expected NDT for F-RANs under uniform popularity distribution within a constant gap from the lower bound, it is still an open problem to characterize the expected NDT under arbitrary popularity distribution with caches at receivers. Although the proposed achievable scheme can be generalized for arbitrary popularity distribution, the problem remains challenging because it is hard to find a tight lower bound even in the case of a single transmitter [5]. Another important direction to extend our work is considering the case of coded placement, in which the transmitters and receivers are not restricted to store uncoded fragments of the library files.…”
Section: Discussionmentioning
confidence: 99%
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“…Although we have characterized the expected NDT for F-RANs under uniform popularity distribution within a constant gap from the lower bound, it is still an open problem to characterize the expected NDT under arbitrary popularity distribution with caches at receivers. Although the proposed achievable scheme can be generalized for arbitrary popularity distribution, the problem remains challenging because it is hard to find a tight lower bound even in the case of a single transmitter [5]. Another important direction to extend our work is considering the case of coded placement, in which the transmitters and receivers are not restricted to store uncoded fragments of the library files.…”
Section: Discussionmentioning
confidence: 99%
“…where the constraint (30) comes from the total number of bits in the library. (31) is to maintain the total cache sizes at the transmitters 5 , while (32) is to maintain the total cache sizes at receivers.…”
Section: A Bound On the Ndt Of The Fronthaul Transmissionmentioning
confidence: 99%
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“…We consider the case N = 10 files and K = 15 users. We provide the ratememory regions in [ 6]. We observe that, for the special situation considered here, the new proposed scheme obtains a significant improvement with respect to the previous best SOTA.…”
Section: Corollary 11 For a Caching Problem With K Users And N Filementioning
confidence: 99%
“…The rate-memory tradeoff of multi-layer coded caching networks is studied in [11], [12]. The authors in [13], [14] derive an information-theoretic lower bound on the expected transmission rate for arbitrary content popularity. It is worth noting that the benefit of coded caching comes at a price of coordination since the data centre needs to know the number of users in order to construct the coded messages.…”
Section: Introductionmentioning
confidence: 99%