Optimizing 5G network performance with dynamic resource allocation, robust encryption and Quality of Service (QoS) enhancement

Abdullah M Alashjaee; Sumit Kushwaha; Hayam Alamro; Asma Abbas Hassan; Fuhid Alanazi; Abdullah Mohamed

doi:10.7717/peerj-cs.2567

Optimizing 5G network performance with dynamic resource allocation, robust encryption and Quality of Service (QoS) enhancement

PeerJ Comput Sci. 2024 Nov 29:10:e2567. doi: 10.7717/peerj-cs.2567. eCollection 2024.

Authors

Abdullah M Alashjaee^#¹, Sumit Kushwaha^#², Hayam Alamro³, Asma Abbas Hassan⁴, Fuhid Alanazi⁵, Abdullah Mohamed⁶

Affiliations

¹ Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia.
² Department of Computer Applications, University Institute of Computing, Chandigarh University, Mohali, Punjab, India.
³ Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyad, Saudi Arabia.
⁴ Department of Computer Science, Community College-Girls Section, King Khalid University, Aseer, Saudi Arabia.
⁵ Department of Information Systems, Faculty of Computer and Information Systems, Islamic University of Madinah, Medina, Saudi Arabia.
⁶ Research Centre, Future University in Egypt, New Cairo, Egypt.

^# Contributed equally.

Abstract

The International Telecommunication Union (ITU) predicts a substantial and swift increase in global mobile data traffic. The predictions suggest that this growth will vary from 390 EB (exabytes) to 5,016 EB (exabytes) from 2024 to 2030, accordingly. This work presents a new maximum capacity model (MCM) to improve the dynamic resource allocation, robust encryption, and Quality of Service (QoS) in 5G networks which helps to meet the growing need for high-bandwidth applications such as Voice over Internet Protocol (VoIP) and video streaming. Our proposed MCM model enhances data transmission by employing dynamic resource allocation, prioritised traffic management, and robust end-to-end encryption techniques, thereby guaranteeing efficient and safe data delivery. The encryption procedure is applied to the header cypher, while the output parameters of the payload are altered. This indicates that only the sender and recipient will possess exclusive knowledge of the final outcome. In result, the comparative analyses clearly show that the MCM model outperforms over conventional models in terms of QoS packet planner, QoS packet scheduler, standard packet selection, traffic management, maximum data rate, and bandwidth utilisation.

Keywords: Digital life; MCM; Optimization; QoS; VoIP.

Grants and funding

This work was supported by the Deanship of Research and Graduate Studies at King Khalid University through Large Research Project under grant number RGP2/319/45. Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R361), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. This work was also supported by the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number “NBU-FFR-2024-1576-07”. This work is also funded by the Future University in Egypt (FUE). There was no additional external funding received for this work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.