arXiv subjects

Jorge Baranda

Publications and source records attributed to Jorge Baranda.

9 recordsLinked to original sources

arXiv2026

Modular Multi-Domain Digital Twin Architecture: Sustainable Intent-Driven 6G Management

Future 6G networks will operate across distributed and heterogeneous domain infrastructures, making conventional single-domain management insufficient for proactive, trustworthy automation. Network Digital Twins (NDTs) enable what-if analysis, AI-assisted optimization, and risk-free validation of control actions before deployment, yet monolithic end-to-end twins remain impractical due to scalability, fidelity, and cross-domain coordination challenges. Accordingly, this paper proposes a Digital Twin-enabled 6G architecture that exposes NDT capabilities as a specialized service domain within a multi-domain orchestration framework built on a state-of-the-art service-based 6G architecture. A DT Orchestrator interprets \textit{predictive} and \textit{prescriptive} what-if queries and composes domain-specific DT modules and simulators on demand, while decision authority remains with the requesting entity. Furthermore, a generalized workflow covers telemetry synchronization, simulation-based decision support, and closed-loop execution. The framework is demonstrated through a green-networking use case that couples a system-level O-RAN cellular digital twin component with a two-stage solar-allocation simulator, evaluated over a 105-base-station deployment in Poznan using simulative datasets. Joint coverage and renewable optimization reduces daily grid consumption by 28.5\% with 32 solar panels at the diminishing-returns threshold, with 17 base stations identified as both coverage-active and high-priority solar candidates as evidence that cross-domain NDT coordination enables sustainable, intent-driven 6G network management.

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arXiv2025

On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks

The integration of Terrestrial Networks (TNs) with Non-Terrestrial Networks (NTNs) poses unique architectural and functional challenges due to heterogeneous propagation conditions, dynamic topologies and limited on-board processing capabilities. This paper examines architectural and functional split strategies that are consistent with O-RAN principles for future integrated TN-NTN systems. A taxonomy of split options is proposed that distributes RAN and core functions between satellites and ground nodes, and trade-offs in terms of performance, latency, autonomy and deployment are analysed. In particular, we evaluate configurations ranging from pure on-board DU deployments to full gNB and UPF integration into satellites, including variations based on intra- and inter-satellite processing. In addition, the placement of Near-RT and Non-RT RAN Intelligent Controllers (RICs) is discussed, proposing flexible split strategies between space and ground to optimise the performance and scalability of the control loop. A comprehensive mapping between architectural splits and RIC placement options is provided, emphasising implementation constraints and interoperability considerations. The paper concludes by identifying key challenges and outlining future directions to enable standardised, modular and efficient TN-NTN convergence in the context of the O-RAN.

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arXiv2022

Intent-Based Orchestration for Application Relocation in a 5G Cloud-native Platform

The need of mobile network operators for cost-effectiveness is driving 5G and beyond networks towards highly flexible and agile deployments to adapt to dynamic and resource-constrained scenarios while meeting a myriad of user network stakeholders' requirements. In this setting, we consider that zero-touch orchestration schemes based on cloud-native deployments equipped with end-to-end monitoring capabilities provide the necessary technology mix to be a solution candidate. This demonstration, built on top of an end-to-end cloud-native 5G experimental platform with over-the-air transmissions, shows how dynamic orchestration can relocate container-based end-user applications to fulfil intent-based requirements. Accordingly, we provide an experimental validation to showcase how the platform enables the desired flexible and agile 5G deployments.

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arXiv2021

Multi-Provider NFV Network Service Delegation via Average Reward Reinforcement Learning

In multi-provider 5G/6G networks, service delegation enables administrative domains to federate in provisioning NFV network services. Admission control is fundamental in selecting the appropriate deployment domain to maximize average profit without prior knowledge of service requests' statistical distributions. This paper analyzes a general federation contract model for service delegation in various ways. First, under the assumption of known system dynamics, we obtain the theoretically optimal performance bound by formulating the admission control problem as an infinite-horizon Markov decision process (MDP) and solving it through dynamic programming. Second, we apply reinforcement learning to practically tackle the problem when the arrival and departure rates are not known. As Q-learning maximizes the discounted rewards, we prove it is not an efficient solution due to its sensitivity to the discount factor. Then, we propose the average reward reinforcement learning approach (R-Learning) to find the policy that directly maximizes the average profit. Finally, we evaluate different solutions through extensive simulations and experimentally using the 5Growth platform. Results confirm that the proposed R-Learning solution always outperforms Q-Learning and the greedy policies. Furthermore, while there is at most 9% optimality gap in the ideal simulation environment, it competes with the MDP solution in the experimental assessment.

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arXiv2021

R-Learning Based Admission Control for Service Federation in Multi-domain 5G Networks

Service federation in 5G/B5G networks enables service providers to orchestrate network services across multiple domains where admission control is a key issue. For each demand, without knowing the future ones, the admission controller either determines the domain to deploy the demand or rejects it in order to maximize the long-term average profit. In this paper, at first, under the assumption of knowing the arrival and departure rates of demands, we obtain the optimal admission control policy by formulating the problem as a Markov decision process that is solved by the policy iteration method. As a practical solution, where the rates are not known, we apply the Q-Learning and R-Learning algorithms to approximate the optimal policy. The extensive simulation results show the learning approaches outperform the greedy policy, and while the performance of Q-Learning depends on the discount factor, the optimality gap of the R-Learning algorithm is at most 3-5% independent of the system configuration.

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arXiv2020

Llums que no s\'on nom\'es llums

Visible Light Communications (VLC) is a new paradigm in wireless communications. The characteristics of this technology, which uses light-emitting diode-based lighting devices as transmitting elements, make it possible to be considered a complement to current wireless radio communication systems. ----- Les comunicacions per llum visible o 'Visible Light Communications' (VLC) s\'on un nou paradigma en comunicacions sense fils. Les caracter\'istiques que presenta aquesta tecnologia, que utilitza els dispositius d'il{\lgem{}}luminaci\'o basats en d\'iodes emissors de llum com elements transmissors, fa que es pugui considerar un complement dels actuals sistemes de comunicaci\'o inal`ambrics.

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arXiv2018

An SDR Implementation of a Visible Light Communication System Based on the IEEE 802.15.7 Standard

The aim of this paper is to present an implementation of a functional IEEE 802.15.7 real-time testbed based on the Software Defined Radio (SDR) concept. This implementation is built with low cost commercial off-the-shelf (COTS) analog devices and the use of Universal Software Radio Peripheral version 2 (USRP2) equipment combined with a generic object-oriented framework that takes advantage of several open source software libraries. The prototype is validated in a controlled laboratory environment with an over-the-air measurement campaign.

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arXiv2018

Prototyping with SDR: a quick way to play with next-gen communications systems

In this paper we present our approach regarding the implementation of new wireless radio receiver exploiting filterbank techniques, using a software-development driven approach. Since most of the common radio communications systems share a similar structure, this can be exploited creating a framework which provides a generic layout and tools to construct a reconfigurable transmitter and/or receiver. By combining the use of the Universal Software Radio Peripheral version 2 (USRP2) with a generic object-oriented framework of our own built on top of the GNU Radio software framework, we have been able to quickly implement a working proof of concept of an Uplink (UL) Filterbank Multicarrier (FBMC) receiver, both for SingleInput Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) scenario, within the project of the 7th European framework called PHYDYAS. We described here the methodology we have applied from software engineering in order to build this demonstrator, which shows the suitability of using Software Defined Radio (SDR) technologies for fast prototyping of new wireless communication systems.

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arXiv2018

Rapid Prototyping of Standard-Compliant Visible Light Communications System

This article describes the implementation of a prototype visible light communications system based on the IEEE 802.15.7 standard using low-cost commercial off-the-shelf analog devices. The aim of this article is to show that this standard provides a framework that could promote the introduction of applications into the market. Thus, these specifications could be further developed, reducing the gap between the industry and research communities. The implemented prototype makes use of software defined radio platforms to interface between the analog devices and the computer where the signal processing is performed. The use of this concept provides the system with enough flexibility and modularity to include new features in the prototype without requiring long development time.

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