L
Lorenzo Ferrari
Researcher at Qualcomm
Publications - 19
Citations - 203
Lorenzo Ferrari is an academic researcher from Qualcomm. The author has contributed to research in topics: Synchronization & Synchronization networks. The author has an hindex of 7, co-authored 19 publications receiving 136 citations. Previous affiliations of Lorenzo Ferrari include Arizona State University & University of California, Davis.
Papers
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Journal ArticleDOI
LayBack: SDN Management of Multi-Access Edge Computing (MEC) for Network Access Services and Radio Resource Sharing
Prateek Shantharama,Akhilesh S. Thyagaturu,Nurullah Karakoc,Lorenzo Ferrari,Martin Reisslein,Anna Scaglione +5 more
TL;DR: It is found that for non-uniform call arrivals, the computation of the function blocks with resource sharing among operators increases a revenue rate measure by more than 25% compared to the conventional CRAN where each operator utilizes only its own resources.
Journal ArticleDOI
PulseSS: A Pulse-Coupled Synchronization and Scheduling Protocol for Clustered Wireless Sensor Networks
TL;DR: The PulseSS protocol is proposed in this paper for simultaneous synchronization and scheduling of communication activities in clustered wireless sensor networks (WSNs), by emulating the emergent behavior of pulse-coupled oscillator (PCO) networks in mathematical biology.
Journal ArticleDOI
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing
TL;DR: This work forms a decentralized partially observable Markov decision process with a novel reward structure that provides long term proportional fairness in terms of throughput and incorporates these features into a distributed reinforcement learning framework for contention-based spectrum access.
Journal ArticleDOI
A Multi-Layer Multi-Timescale Network Utility Maximization Framework for the SDN-Based LayBack Architecture Enabling Wireless Backhaul Resource Sharing
Mu Wang,Nurullah Karakoc,Lorenzo Ferrari,Prateek Shantharama,Akhilesh S. Thyagaturu,Martin Reisslein,Anna Scaglione +6 more
TL;DR: A novel backhaul optimization methodology is introduced in the context of the recently proposed LayBack SDN backhaul architecture with four layers, namely a radio node (eNB) layer, a gateway layer, an operator layer, and central coordination in an SDN orchestrator layer.
Proceedings ArticleDOI
Layered Cooperative Resource Sharing at a Wireless SDN Backhaul
TL;DR: The work presented proposes a scalable decomposition of the resource allocation problem across different layers and time-scales, and requires introducing a unifying Software Defined Network orchestrator sited where their respective traffic streams meet: at the wireless network backhaul.