21 citations · 38 across the 6 of their papers we have counts for
7 papers
Fundamental Limits of Topology-Aware Shared-Cache Networks
Emanuele Parrinello, Antonio Bazco-Nogueras, Petros Elia
This work studies a well-known shared-cache coded caching scenario where each cache can serve an arbitrary number of users, analyzing the case where there is some knowledge about s…
Low-Subpacketization Multi-Antenna Coded Caching for Dynamic Networks
MohammadJavad Salehi, Emanuele Parrinello, Hamidreza Bakhshzad Mahmoodi +1
Multi-antenna coded caching combines a global caching gain, proportional to the total cache size in the network, with an additional spatial multiplexing gain that stems from multip…
Low-Complexity High-Performance Cyclic Caching for Large MISO Systems
MohammadJavad Salehi, Emanuele Parrinello, Seyed Pooya Shariatpanahi +2
Multi-antenna coded caching is known to combine a global caching gain that is proportional to the cumulative cache size found across the network, with an additional spatial multipl…
Fundamental Limits of Stochastic Shared Caches Networks
Adeel Malik, Berksan Serbetci, Emanuele Parrinello +1
The work establishes the exact performance limits of stochastic coded caching when users share a bounded number of cache states, and when the association between users and caches,…
Fundamental Limits of Caching in Heterogeneous Networks with Uncoded Prefetching
Emanuele Parrinello, Ayse Unsal, Petros Elia
The work explores the fundamental limits of coded caching in heterogeneous networks where multiple () senders/antennas, serve different users which are associated (linked) to…
Coded Caching with Shared Caches: Fundamental Limits with Uncoded Prefetching
Emanuele Parrinello, Ayşe Ünsal, Petros Elia
The work identifies the fundamental limits of coded caching when the K receiving users share Λ K helper-caches, each assisting an arbitrary number of different users. The mai…
Coded Distributed Computing with Node Cooperation Substantially Increases Speedup Factors
Emanuele Parrinello, Eleftherios Lampiris, Petros Elia
This work explores a distributed computing setting where nodes are assigned fractions (subtasks) of a computational task in order to perform the computation in parallel. In thi…