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13 articles
ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks
Intrusion detection systems (IDSs) for 5G networks must handle complex, high-volume traffic. Although opaque "black-box" models can achieve high accuracy, their lack of transparency hinders trust and effective operational response. We propose ExAI5G, a framework that prioritizes interpretability by integrating a Transformer-based deep learning IDS with logic-based explainable AI (XAI) techniques.
IOWN Global Forum Targets AI Infrastructure
IOWN Global Forum targets datacenter interconnects to scatter AI infrastructure. Fast WAN consortium thinks neoclouds are ripe for hookups.
MWC26: Value in motion and when AI became operational | PwC
MWC26 insights on AI becoming operational—how telecom leaders are scaling AI, building connected ecosystems and unlocking value in motion.
IOWN Global Forum targets datacenter interconnects to scatter AI infrastructure
Fast WAN consortium thinks neoclouds are ripe for hookups The IOWN Global Forum will likely focus on datacenter interconnect use cases in the, to help diverse providers of AI infrastructure ply their trade.…
Spatiotemporal Analysis of VIIRS Satellite Observations and Network Traffic During the 2025 Manitoba Wildfires
arXiv:2604.14392v1 Announce Type: new Abstract: Climate change has intensified extreme weather and wildfire conditions globally. Canada experienced record-breaking wildfires in 2023 and 2025, burning millions of hectares and severely impacting the Prairie provinces, with Manitoba facing its worst season in 30 years. These events highlight the urgent need to understand and mitigate escalating fire risks. While existing research largely focuses on wildfire management approaches, few studies have explored the relationship between user network traffic and wildfire activity, despite the potential of such correlations to provide valuable spatiotemporal insights into wildfire dynamics. This paper investigates the relationship between wildfire intensity and network performance during the 2025 Manitoba wildfire season, using Visible Infrared Imaging Radiometer Suite (VIIRS) satellite-derived Fire Radiative Power data and large-scale Speedtest measurements. We found statistically significant correlations between wildfire intensity and several network performance metrics in both the province-wide and region-wide case studies, as measured by Spearman's correlation coefficients ($\rho$) and corresponding p-values. Throughput-related metrics showed inverse correlations with wildfire intensity (e.g., download speed: $\rho = -0.214$, $p\_value = 0.004$), whereas latency-related metrics showed positive correlations (e.g., round-trip time latency: $\rho = 0.162$, $p\_value = 0.0308$). The findings suggest satellite fire indicators and network performance metrics together can reveal vulnerabilities during extreme environmental events and support diaster response and recovery efforts.
Orange pairs with Nokia to push AI RAN development
Orange and Nokia have partnered to jointly develop AI-RAN use cases, supported by Nvidia’s AI infrastructure. The French telco has become the latest mobile operator to work with Nokia on AI-RAN. 16 Mar 2026 Nvidia wants to reinvent the RAN All eyes on bringing AI to the RAN for the 6G future According to Nokia, […]
Not all networks can handle AI traffic – and experts are sounding alarms
Y'all been focusing on compute and forgot about how the data moves around AI is reshaping the demands on network infrastructure, and many organizations are not prepared – including some of the so-called neocloud providers offering AI services.…
Amazon pays $11.5B to satisfy satellite-envy while cowering in Musk's shadow
Amazon's deal includes 24 operational satellites, spectrum licenses, and an Apple partnership.
Poste CEO Says Telecom Italia Is ‘Perfect Fit’ for Digital Hub
Poste Italiane SpA decided to buy full ownership of Telecom Italia SpA to capture all the potential benefits of working with the former phone monopoly, Chief Executive Officer Matteo Del Fante said.
Self-Securing AI Will Define Telecom Security in 2026
Self-Securing AI Will Define Telecom Security in 2026
Optical networks to bridge the AI compute-consumption gap | Computer Weekly
Optical networks to bridge the AI compute-consumption gap | Computer Weekly Robert Kneschke - stock.adobe.co By - Aaron Tan, Informa TechTarget Published: 08 Apr 2026 6:25 Artificial intelligence (AI) is often imagined as an ethereal network of algorithms and advanced computing chips in the cloud. But behind the scenes, the ability to generate a poem, render a video or run complex predictive models relies on pulses of light travelling through glass fibres across oceans and continents. As big tech firms and enterprises race to build multibillion-dollar datacentres to fuel the demand for AI, the telecoms infrastructure connecting them is under imme
Africa’s digital future depends on closing the infrastructure gap - Moneyweb
The choices made now will determine how much of the digital economy's value remains on the continent.
Adversarial Attacks in AI-Driven RAN Slicing: SLA Violations and Recovery
Next-generation (NextG) cellular networks are designed to support emerging applications with diverse data rate and latency requirements, such as immersive multimedia services and large-scale Internet of Things deployments. A key enabling mechanism is radio access network (RAN) slicing, which dynamically partitions radio resources into virtual resource blocks to efficiently serve heterogeneous traffic classes, including enhanced mobile broadband (eMBB), massive machine-type communications (mMTC),...