output
20102026
most citedA Survey on Device-to-Device Communication in Cellular Networks

1.8k citations

Showing 2022Show all

6 papers · 1 filter

cs.HC2022

Realistic Modeling of Human Timings for Wearable Cognitive Assistance

Manuel O. J. Olguín Muñoz, Vishnu N. Moothedath, Jaya Prakash Champati +3

Wearable Cognitive Assistance (WCA) applications present a challenge to benchmark and characterize due to their human-in-the-loop nature. Employing user testing to optimize system…

cond-mat.mtrl-sci2022★ 78 cited

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: A machine learning approach

Sachit Mishra, Rajat Srivastava, Atta Muhammad +4

Hybrid electric vehicles and portable electronic systems use supercapacitors for energy storage owing to their fast charging discharging rates, long life cycle, and low maintenance…

cs.NI2022★ 14 cited

Fair Throughput Optimization with a Dynamic Network of Drone Relays

Edgar Arribas, Vincenzo Mancuso, Vicent Cholvi

Aiding the ground cellular network with aerial base stations carried by drones has experienced an intensive raise of interest in the past years. Reconfigurable air-to-ground channe…

cs.RO2022★ 11 cited

Optimizing UAV Recharge Scheduling for Heterogeneous and Persistent Aerial Service

Edgar Arribas, Vicent Cholvi, Vincenzo Mancuso

The adoption of UAVs in communication networks is becoming reality thanks to the deployment of advanced solutions for connecting UAVs and using them as communication relays. Howeve…

eess.SP2022★ 30 cited

SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems

Jacopo Pegoraro, Jesus Omar Lacruz, Michele Rossi +1

A well established method to detect and classify human movements using Millimeter-Wave ( mmWave) devices is the time-frequency analysis of the small-scale Doppler effect (termed mi…

cs.CR2022★ 16 cited

Securing Federated Sensitive Topic Classification against Poisoning Attacks

Tianyue Chu, Alvaro Garcia-Recuero, Costas Iordanou +2

We present a Federated Learning (FL) based solution for building a distributed classifier capable of detecting URLs containing GDPR-sensitive content related to categories such as…