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Virginia Tech

Enabling rApp in 5G O-RAN: An Spectral Optimization (SO)rApp Use Case

Abstract

dc:description.abstract

This thesis comprehensively examines the rApp lifecycle within the O-RAN Alliance (O- RAN) Non-Real Time RIC (Non-RT RIC) framework, serving as a practical guide for exper- imental research and development. The focus is on the entire lifecycle of rApp development, from designing and onboarding to deployment and execution, using a spectral efficiency op- timization use case to illustrate the process. The study develops and integrates a Spectrum Optimization (SO)rApp employing Reinforcement Learning (RL) techniques, specifically a Deep Q-Network (DQN) model, within the O-RAN architecture. The research highlights how the SOrApp dynamically allocates spectrum resources to enhance network performance under varying demand conditions. Utilizing the Network Simulator (NS)-3 5G-LENA simulator, the thesis replicates diverse service demand scenarios to evaluate the rApp's effectiveness in optimizing spectral efficiency. The findings demonstrate that integrating Artificial Intelligence (AI)-driven rApps within the O-RAN framework significantly improves spectral efficiency and overall network performance, providing valuable insights and methodologies for future research and practical implementations in 5G networking.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Engineering
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mallu, Jaswanth Sai Reddy
Chairs dc:contributor.committeechair
  • Pereira da Silva, Luiz Antonio
  • Pereira da Silva, Aloizio
Committee members dc:contributor.committeemember
  • Stavrou, Angelos
  • Hammad, Eman

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:40870
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/119415

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Mallu, Jaswanth Sai Reddy. Enabling rApp in 5G O-RAN: An Spectral Optimization (SO)rApp Use Case. masters thesis, Virginia Tech, 2024. https://hdl.handle.net/10919/119415