Efficient Resource Allocation in Network Slicing Using Modified Waterfill Algorithm With Differential Evolution Optimization

The complexity of resource allocation in network slicing arises from the presence of resource constraints and the dynamic nature of Quality of Service (QoS) requirements, adding to the intricacy of the problem. To address this challenge, heuristic algorithms offer practical solutions by quickly finding reliable resource allocation configurations. This paper introduces the Modified Waterfill-Based Resource Allocation (MWFRA) model, which adapts the Water-Filling Algorithm (WFA) to handle Resource Augmented and decrement scenarios. The MWFRA model categorizes resources and performs ERA while meeting QoS requirements.