Wireless Coded Caching With Shared Caches Can Overcome the Near-Far Bottleneck

Author(s):  
Hui Zhao ◽  
Antonio Bazco-Nogueras ◽  
Petros Elia
Keyword(s):  
2021 ◽  
pp. 1-1
Author(s):  
Monolina Dutta ◽  
Anoop Thomas
Keyword(s):  

2021 ◽  
pp. 1-1
Author(s):  
Shreya Shrestha Meel ◽  
B. Sundar Rajan
Keyword(s):  

Author(s):  
Javier Díaz ◽  
Pablo Ibáñez ◽  
Teresa Monreal ◽  
Víctor Viñals ◽  
José M. Llabería

2020 ◽  
Vol 66 (12) ◽  
pp. 7635-7651
Author(s):  
Eleftherios Lampiris ◽  
Petros Elia
Keyword(s):  

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 25
Author(s):  
Kai Wan ◽  
Hua Sun ◽  
Mingyue Ji ◽  
Daniela Tuninetti ◽  
Giuseppe Caire

Coded Caching, proposed by Maddah-Ali and Niesen (MAN), has the potential to reduce network traffic by pre-storing content in the users’ local memories when the network is underutilized and transmitting coded multicast messages that simultaneously benefit many users at once during peak-hour times. This paper considers the linear function retrieval version of the original coded caching setting, where users are interested in retrieving a number of linear combinations of the data points stored at the server, as opposed to a single file. This extends the scope of the authors’ past work that only considered the class of linear functions that operate element-wise over the files. On observing that the existing cache-aided scalar linear function retrieval scheme does not work in the proposed setting, this paper designs a novel coded caching scheme that outperforms uncoded caching schemes that either use unicast transmissions or let each user recover all files in the library.


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