Anais do Workshop de Pesquisa Experimental da Internet do Futuro (WPEIF)
O Workshop de Pesquisa Experimental da Internet do Futuro (WPEIF) tem como objetivo criar um fórum de discussões e trocas de informações, conhecimento e experiências sobre pesquisa experimental relacionada às redes do futuro e promover a pesquisa experimental neste tema dentro da comunidade de redes de computadores.
Sociedade Brasileira de Computação - SBC
Distributed Spectrum Coordination using Decoupled Permissioned Blockchains
While decentralized Dynamic Spectrum Access (DSA) improves multi-operator coordination, existing blockchain solutions are slow because they tightly couple consensus mechanisms with time-sensitive radio operations. To overcome this bottleneck, we propose a hybrid architecture that logically decouples these planes, ensuring that only normatively relevant state transitions (e.g., spectrum grants) require synchronous blockchain validation. Informational requests and routine heartbeats are processed entirely off-chain to minimize latency. By using a permissioned blockchain and smart contracts selectively, our system maintains a secure and consistent World State without stalling continuous radio operations. Experimental evaluations demonstrate that confining distributed consensus (averaging 1.8s latency) to critical operations successfully replaces implicit trust with algorithmic guarantees, remaining fully compatible with CBRS/SAS latency budgets.
Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
Unsupervised anomaly detection is widely used to detect Distributed Denial-of-Service (DDoS) attacks in cloud-native 5G networks, yet most studies assume a fixed traffic representation, either temporal or structural, without validating which feature space best matches the data. We propose a lightweight decision framework that prioritizes temporal or structural features before training, using two diagnostics: lag-1 autocorrelation of an aggregated flow signal and PCA cumulative explained variance. When the probes are inconclusive, the framework reserves a hybrid option as a future fallback rather than an empirically validated branch. Experiments on two statistically distinct datasets with Isolation Forest, One-Class SVM, and KMeans show that structural features consistently match or outperform temporal ones, with the performance gap widening as temporal dependence weakens.
Garantias de QoS em Redes de Transporte 6G: Roteamento na Origem Orientado a Filas de Serviço
Este artigo propõe o SPolKA, uma arquitetura para fatiamento de redes de transporte 6G que unifica o roteamento na fonte e o provisionamento de QoS sem estados no núcleo da rede. A solução usa aritmética polinomial para codificar a rota e a política de filas em um único rótulo na borda da rede. Protótipos em P4 usando o emulador Mininet com software switch bmv2, aprimorado com o algoritmo Weighted Deficit Round Robin (WDRR) e switches Tofino comprovam o isolamento de tráfego, métricas de desempenho e migração ágil.
Implementação de Rede Privada 5G Open Source: Uma Análise do Core Open5GS
Este trabalho investiga a implementação e avaliação experimental de uma rede privada 5G utilizando tecnologias de código aberto, com foco no núcleo de rede (5G Core). Inicialmente, é realizada uma análise comparativa das principais soluções open source, na qual se identifica que Open5GS é a solução mais utilizada devido à sua estabilidade e documentação completa, sendo amplamente citada na literatura. Com base nessa análise, propõe-se uma arquitetura experimental baseada em Open5GS, integrada ao UERANSIM para simulação da RAN. O ambiente foi implementado em infraestrutura virtualizada da OpenRAN Brasil, permitindo a validação funcional do Core 5G e a execução de testes de desempenho. Os resultados demonstram a viabilidade de soluções open source para redes 5G privadas, evidenciando seu potencial para experimentação em cenários da Internet do Futuro, com baixo custo e alta flexibilidade.
Influence of Core Decentralization on the Performance of a Private 5G Network
With the increasing relevance of private 5G networks and the development of open-source solutions, the performance evaluation of this architecture under various conditions is becoming increasingly necessary. In this context, the IBM Flextronics project at the Universidade Federal de Campina Grande (UFCG) implemented a private 5G network to conduct experiments. Given the need for testing across the infrastructures of different buildings and networks, this work proposes to evaluate the performance of a private 5G network using an Open5GS core, with one gNodeB installed on-premises in a building in close proximity to the core, and another gNodeB deployed remotely in other building at the university. The goal is to assess how decentralization of the core influences performance in terms of bitrate and latency.
Integration of BMv2 and eBPF/XDP for Dynamic Forwarding in 5G Transport Networks
This paper analyzes the impact on end-to-end latency of 5G applications by integrating eBPF/XDP-based observability mechanisms with programmable switches in the transport network. This proposal uses eBPF to monitor the UPF and identify UE traffic encapsulated in GTP-U tunnels. An orchestrator processes events related to end-to-end delay variation per-flow and dynamically updates the tables of the switches, enabling real-time route switching according to network conditions. The results indicate that the proposed dynamic forwarding mechanism significantly reduces latency under degraded conditions, achieving up to 78% improvement depending on the duration of the degradation period.
UPF Autoscaling in Private 5G Networks for Video Transmission: A Comparative Analysis of Reactive and Predictive Approaches
Industry 4.0 applications demand high reliability and low latency, driving the adoption of Service-Based Architectures in Private 5G networks. However, resource orchestration remains challenging; traditional reactive mechanisms, such as the Kubernetes Horizontal Pod Autoscaler (HPA), fail to address the session affinity of the GPRS Tunneling Protocol. This leads to unbalanced loads where active units saturate while new instances sit idle. This paper proposes a predictive scaling mechanism for the User Plane Function (UPF) that anticipates traffic and instantiates resources prior to session establishment. Validated in a virtualized testbed, the predictive approach ensures proper load balancing and prevents connection drops typical of reactive scenarios.