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20072023
most citedEnergy Harvesting Wireless Communications: A Review of Recent Advances

803 citations · 3.5k across the 244 of their papers we have counts for

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Showing 2017Show all

16 papers · 1 filter

cs.IT2017★ 1 cited

Fundamental Limits of Cloud and Cache-Aided Interference Management with Multi-Antenna Edge Nodes

Jingjing Zhang, Osvaldo Simeone

In fog-aided cellular systems, content delivery latency can be minimized by jointly optimizing edge caching and transmission strategies. In order to account for the cache capacity…

cs.IT2017

Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity

Seyyed Mohammadreza Azimi, Osvaldo Simeone, Avik Sengupta +1

Fog Radio Access Network (F-RAN) architectures can leverage both cloud processing and edge caching for content delivery to the users. To this end, F-RAN utilizes caches at the edge…

cs.IT2017

Multi-Tenant C-RAN With Spectrum Pooling: Downlink Optimization Under Privacy Constraints

Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai

Spectrum pooling allows multiple operators, or tenants, to share the same frequency bands. This work studies the optimization of spectrum pooling for the downlink of a multi-tenant…

stat.ML2017

Training Probabilistic Spiking Neural Networks with First-to-spike Decoding

Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran

Third-generation neural networks, or Spiking Neural Networks (SNNs), aim at harnessing the energy efficiency of spike-domain processing by building on computing elements that opera…

cs.IT2017★ 1 cited

Optimization of Massive Full-Dimensional MIMO for Positioning and Communication

Seongah Jeong, Osvaldo Simeone, Joonhyuk Kang

Massive Full-Dimensional multiple-input multiple-output (FD-MIMO) base stations (BSs) have the potential to bring multiplexing and coverage gains by means of three-dimensional (3D)…

cs.LG2017

A Brief Introduction to Machine Learning for Engineers

Osvaldo Simeone

This monograph aims at providing an introduction to key concepts, algorithms, and theoretical results in machine learning. The treatment concentrates on probabilistic models for su…