Singapore Institute of Technology

File(s) stored somewhere else

Please note: Linked content is NOT stored on Singapore Institute of Technology and we can't guarantee its availability, quality, security or accept any liability.

NPRA: A Novel Predictive Resource Allocation Mechanism for Next Generation Network Slicing

conference contribution
posted on 2023-10-03, 09:13 authored by Binghui Wu, Venkata Abhishek NalamVenkata Abhishek Nalam, Amogh PC, Mohan Gurusamy

Network slicing is the critical enabler for next-generation mobile networks, which divides the infrastructure into multiple logical networks known as slices. Each logical network supports services with specific throughput and latency requirements. The fifth-generation(5G) and 5G-beyond networks employ more than two slices; hence, it has become necessary to deploy algorithms for efficient resource allocation. However, given the latency-sensitive applications, allocating resources to different slices based on the current demand would be a poor choice. Therefore, resource allocation needs to be performed in advance, which calls for forecasting algorithms predicting future demands. In this paper, we propose a novel predictive network slicing mechanism named NPRA to predict resources dynamically. NPRA predicts the future resource requirements using Unit Time Long Short-Term Memory (UT-LSTM). The predicted demand can be used as an input to any optimization algorithm for the timely allocation of resources. We also develop a 5G simulation testbed to generate datasets for performance study. The results presented demonstrate the effectiveness of NPRA.


Journal/Conference/Book title

2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 08-11 January 2023

Publication date


Usage metrics


    No categories selected


    Ref. manager