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Cabellos-Aparicio, Albert - Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya
UPGRADE is the European Journal for the Informatics Professional, published bimonthly at
Physical Channel Characterization for Medium-Range Nano-Networks using Flagellated Bacteria
Diffusion-based Physical Channel Identification in Molecular Nanonetworks
Nanonetworks: Motivation In order to overcome their limitations, these nano-devices can be interconnected to
Active measurement tool for the EuQoS project Rene Serral-Graci`a Albert Cabellos-Aparicio Hector Julian-Bertomeu
Diffusion-based Channel Characterization in Molecular Nanonetworks
When providing end-to-end QoS (Quality of Service), the provider of the service states to each network provider the amount of QoS traffic
Large-Scale Measurement Experiments of P2P-TV Systems Insights on Fairness and Locality
LISP-TREE: A DNS Hierarchy to Support the LISP Mapping System
A Collaborative P2P Scheme for NAT Traversal Server Discovery based on
Characterization of Graphene-based Nano-antennas in the Terahertz Band
Internet Protocol version 6 Overview* Albert Cabellos-Aparicio, Jordi Domingo-Pascual
Verifying IP Meters from Sampled Measurements Carlos Veciana-Nogus, Albert Cabellos-Aparicio, Jordi Domingo-
Exploring the Physical Channel of Diffusion-based Molecular Communication by Simulation
Abstract--Recent research results have shown how measurements of bandwidth metrics using traditional tools and
An Experimental Evaluation of Packet-Level Measurements of Hidden Traffic Load
CoreCast: How Core/Edge Separation Can Help Improving Inter-Domain Live Streaming
Physical Channel Characterization for Medium-Range Nanonetworks using Catalytic Nanomotors
N3Sim: A Simulation Framework for Diffusion-based Molecular Communication
Visin General del Protocolo IPv6* Albert Cabellos-Aparicio, Jordi Domingo-Pascual
Scattering of terahertz radiation on a graphene-based nano-antenna
Simulation-based Evaluation of the Diffusion-based Physical Channel in Molecular Nanonetworks
Analysis of the impact of sampling on NetFlow traffic classification