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- A biobjective mixed integer nonlinear programming model for the cell switch-off problem considering quality of service and energy consumption
- A novel approach for flow analysis in software-based networks using L-moments theory
- Applying Evolutionary Algorithms for Cell Switch-Off to Reduce Network Energy Consumption
- Binary Particle Swarm Optimization for Selective Cell Switch-Off in Ultra-Dense 5G Networks
- Chained Orchestrator Algorithm for RAN-Slicing Resource Management: A Contribution to Ultra-Reliable 6G Communications
- Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
- Detection and Mitigation of Security Threats Using Virtualized Network Functions in Software-Defined Networks
- Detection and mitigation of DoS attacks in SDN. An experimental approach
- Detection and mitigation of DoS and DDoS attacks in iot-based stateful SDN: An experimental approach
- Enhancing Programmability in Next-Generation Networks: An Innovative Simulation Approach
- FLECO: A tool to boost the adoption of holistic cybersecurity management[Formula presented]
- Fast, Lightweight, and Efficient Cybersecurity Optimization for Tactical–Operational Management
- Improving 5 G base station placement through precise rooftop detection using super-resolution diffusion models and satellite image analysis
- Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?
- Landscape-enabled algorithmic design for the cell switch-off problem in 5G ultra-dense networks
- Leveraging L-Moments to Characterize Traffic Behavior in 4G and 5G Networks
- Leveraging OpenSimMPLS: A simulation platform for GoS/MPLS networks in research and education
- Network traffic classification through high-order L-moments and multi-objective optimization
- Optimizing load-balanced resource allocation in next-generation mobile networks: A parallelized multi-objective approach
- Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis
- Tackling the 5G Cell Switch-Off as a Sparse Multi-objective Optimization Problem: A Comparison of the State-of-the-Art
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