5GNetOptima: Unified Processing, Latency, and Bandwidth Optimization in Next-Generation Networks

This paper describes *5GNetOptima*, an advanced optimization framework developed for efficient resource management in 5G network slicing. *5GNetOptima* is designed to enhance the performance of key 5G services, specifically targeting enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communication (URLLC) slices, by optimizing processing power, reducing latency, and increasing bandwidth utilization. Utilizing a combination of Q-learning for intelligent routing, Weighted Fair Queuing (WFQ), and Dynamic Bandwidth Allocation (DBA), *5GNetOptima* achieves up to 30% latency reduction for eMBB and 25% for URLLC, as well as a 20% improvement in bandwidth utilization. Additionally, the framework effectively addresses blocking probability and reconfiguration impact, further demonstrating its robustness in dynamic 5G environments. Future work will focus on enhancing the scalability and real-time adaptability of *5GNetOptima* for large-scale 5G deployments.