Electrical and Computer Engineering ETDs

Publication Date

Spring 4-15-2024

Abstract

The smart next generation autonomous system for network performance enhancement and management, specifically suitable for networks like 5G, B5G, 6G, and SDN, is presented in this PhD dissertation powered by ML/AI. The dissertation has been divided into six critical parts. First, it focuses on QoS monitoring and provisioning using intelligent QoS agent design in 6G network. Second, it elaborates on LSTM and SP-LSTM comparative analysis towards network traffic prediction in 6G networks. Third, digging into 6G frontier navigation using SE-DO for intelligent Agent Optimization. Fourth, the dissertation delves into role delegation function as a service to improve reliability and latency in Software defined network. Fifth, investigating further into Reinforcement Learning-Driven Adaptive Traffic Routing Role Delegation for Enhanced SDN Network Performance. Lastly, touch down on improving smart grid communication by integrating technological innovations for enhance performance. All things considered, the work has a great deal of potential to revolutionize network administration through automation, flexibility, and artificial intelligence.

Document Type

Dissertation

Language

English

Degree Name

Computer Engineering

Level of Degree

Doctoral

Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Dr. Michael Devetsikiotis

Second Committee Member

Dr. Sanjeev Kumar

Third Committee Member

Dr. Fabrizio Granelli

Fourth Committee Member

Dr. Sisay Tadesse Arzo

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