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Policy-Guided ML for Energy Savings: Cell On/Off Switching under Operator QoS Constraints in Real 5G Networks
arXiv:2606.05755v1 Announce Type: new Abstract: Energy efficiency is a critical concern in the deployment and operation of 5G networks, particularly due to the low utilization of 4G and 5G carriers during off-peak hours. While considerable research has focused on designing energy-efficient cell on/off switching strategies that avoid disrupting user connectivity, the integration of operator-specific policies to guarantee particular Quality of Service (QoS) levels has received limited...
Quantifying the Energy-Saving and QoS Trade-Off in Traffic Offloading for Real 4G/5G Scenarios
arXiv:2606.05752v1 Announce Type: new Abstract: Despite the potential for higher energy efficiency in 5G networks, current 5G Non-Standalone (NSA) deployments often operate suboptimally due to low utilization of 4G and 5G carriers during extended periods. Since base stations are the primary contributors to network energy consumption, implementing cell on/off switching and traffic offloading strategies is crucial for enhancing energy efficiency in current deployments. This paper investigates...
Future networks will not be built on yesterday’s rules
Europe is standing at a strategic crossroads. We can continue to regulate connectivity as if it were a narrow technical sector. Or we can finally treat it for what it is: the backbone of Europe’s economic security, industrial competitiveness and technological sovereignty.
A Practical AI-Driven Strategy for Cell On/Off Switching under Adaptable QoS Constraints
arXiv:2606.05019v1 Announce Type: new Abstract: The rapid expansion of 5G networks has intensified concerns over their sustainability, as denser Radio Access Network (RAN) deployments have increased overall power consumption. Although numerous studies have examined energy-efficient cell on/off switching, few have focused on approaches capable of dynamically adapting to operator-defined Quality of Service (QoS) requirements. In this paper, we propose a Long Short Term Memory (LSTM)based...
Amazon unveils new AI warehouse robot in $12 billion Europe push
Amazon unveils new AI warehouse robot in $12 billion Europe push DARTFORD, England June 4 : Amazon on Thursday unveiled an upgraded AI-powered mobile robot for its warehouses that can respond to conversational prompts, as part of a €10 billion ($11.6 billion) investment in its European fulfilment network. The Seattle-based e-commerce giant showcased the next-generation Proteus robot at its "Delivering the Future" event at its Dartford fulfilment centre east of London, as it works to speed up...
All the Ways Europe Is Ditching American Technology
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Plan to curb China's growing influence in EU ports takes shape
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easyJet slashes flight prices - but you'll need to act fast
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Ukraine Is Not Losing. Russia Is Not Winning.
In a field outside of Kyiv last weekend, a van was parked discreetly behind some trees. Inside the van there were no passenger seats, just a long desk, two office chairs, two laptops, extra screens. Outside appearances to the contrary, this was a mobile drone-interceptor base, one of hundreds of similar vehicles now scattered around Ukraine.
Deep learning four decades of human migration
Abstract Human migration is a fundamental driver of global demographic change, shaping population structure, labour markets and social policy across countries1,2,3. Although long-term migration patterns are often linked to economic development4, they can shift rapidly in response to shocks such as conflict, environmental crises and political change5. Despite its importance, migration remains difficult to measure consistently: existing data are sparse, concentrated in high-income settings and...