Papers

Current Research:
1. Experiments to replace some legacy RAN functions with intelligent variants in O-RAN deployments
Paper 1: Deep Reinforcement Learning using Transformer-derived architecture for performant real-time resource allocation in O-RAN
Status: System design modification

2. Experiments to find use for the Blockchain in practical O-RAN deployments
Status: Literature Search and review
Target: Journal (Currently undecided)

Last Week's Progress

1. Complete framework for solving the real-time resource allocation problem with n-resources in arbitrary quantities in practical O-RAN deployments✔️
2. Demonstrate the validity of framework by replicating mainstream solutions to smaller versions of the resource allocation problem in a simulation (framework failed verification) ❌

This Week Todo's

1. Continue study of courses on Decision Transformers and Reinforcement Learning

Project Progress

Digital Bridge: Build 3D model of the Chopyeongho Mir 309 swing bridge

Last Week's Project

Increase fidelity of 3D model❌

This Week's Project

Increase fidelity of 3D model

Monthly Goals

1. Improve fidelity of the 3D model of the Chopyeongho Mir 309 swing bridge
2. Complete a comprehensive survey of academic literature in the area of midterm research focus.
3. Complete journal applying TRL in O-RAN.

Annual Goals

1. To submit at least 1 NSL-approved Domestic conference
2. To submit at least 1 NSL-approved International Conference
3. To submit at least 1 International journal