Latest Research in Software-Defined Networks and 5G

Top Research Topics in Software-Defined Networks and 5G

• Networking and Internet Architecture — 3 papers
• Software-Defined Networks and 5G — 3 papers
• Vehicular Ad Hoc Networks (VANETs) — 2 papers
• Advanced MIMO Systems Optimization — 1 papers
• Mobile Ad Hoc Networks — 1 papers
• Signal Processing — 1 papers
• Advanced Photonic Communication Systems — 1 papers
• Advanced Optical Network Technologies — 1 papers

Highest-Cited Papers

1. Intelligent Predictive Energy Management Of 5G Base Stations Using Reinforcement Learning Abstract
2. Phi-Scaled Temporal Code Routers Enable Adaptive Broadband Network Resilience — E8 Intelligence Research
3. Intelligent Vehicular Routing and Optimal Resource Allocation Using Deep Reinforcement Learning for Urban VANETs
4. AI-Native Open RAN: A Roadmap from xApps and rApps to Autonomous Network Agents
5. A Multi-Timescale Control Framework for Energy and SLA-Aware O-RAN Network Slicing
6. QoS-Aware RACH Preamble Slicing via Quota-Projected Branching Deep Reinforcement Learning
7. Tail‐Latency‐Aware Reinforcement Learning for Dynamic Resource Allocation in 5G Network Slicing
8. Scalability of Graph Neural Network Policies in Wireless Communication Networks
9. AEGIS: Risk-Budgeted Online Scheduling for Resilient Continuous Edge Inference
10. Coordinated Communication and Computing Resource Management Using Traffic Steering and Resource Slicing in O-RAN-Based Vehicle-to-Network Communications
11. Deep-reinforcement-learning-based intelligent deterministic routing for IPv6+ power networks
12. Green FTTR in Smart Buildings: A Comparative Framework for Energy Efficiency, QoS and QoE Evaluation
13. Hybrid Deep Reinforcement Learning with Kookaburra Optimization for QOS-Aware Bandwidth Allocation in GMPLS Optical Networks