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David Rico Menéndez

Publications and source records attributed to David Rico Menéndez.

2 recordsLinked to original sources

Latency Components in 5G for Edge Application Discovery and Proximity Services: Targets, Measurements, and Practical Working Points

This technical note surveys latency contributors that matter when deploying edge-enabled applications and proximity services in 5G. Rather than proposing a new mechanism, we focus on building a reproducible latency catalogue grounded on: (i) theoretical targets and ranges reported in standards, and (ii) representative empirical measurements from the literature (or explicit derivations from such measurements). We cover user-plane components (radio access, transport and core traversal, UPF processing, and direct sidelink data paths) as well as discovery and setup contributors (DNS and EASDF behavior, inter-NF signaling costs in the service-based core, proximity discovery timing, and security/link establishment). For several control-plane functions, standards define procedures and APIs but do not fix execution time in milliseconds; in these cases we document the gap and report only ranges or proxy instantiations with clear assumptions.

cs.NI↗

NextSense: A Semi-Synthetic Sensing Data generation Platform

Emerging integrated sensing and communication (ISAC) applications require large volumes of data, but collecting such datasets in real networks is costly, time consuming, and often infeasible due to limited access to low level measurements. In this paper we present NextSense, an open and modular semi-synthetic data generation platform that consists of a 5G stack, a channel emulator, and an UE emulator. The platform allows users full customization on radio configuration, channel and mobility, and traffic profiles through an API and GUI, and produces multi-perspective outputs that combine symbol-level IQ samples, protocol traces, and key performance indicators across UE, RAN, and CN. This paper describes the NextSense's architecture, and validates its ability to act as a faithful proxy for real measurements in sensing use cases.

cs.NI↗