1 citations · 2 across the 5 of their papers we have counts for
5 papers
Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
Oluwaseyi Giwa, Jonathan Shock, Jaco Du Toit +1
Dynamic resource allocation in open radio access network (O-RAN) heterogeneous networks (HetNets) presents a complex optimisation challenge under varying user loads. We propose a n…
The LLM as a Network Operator: A Vision for Generative AI in the 6G Radio Access Network
Oluwaseyi Giwa, Michael Adewole, Tobi Awodumila +1
The management of future AI-native Next-Generation (NextG) Radio Access Networks (RANs), including 6G and beyond, presents a challenge of immense complexity that exceeds the capabi…
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
Oluwaseyi Giwa, Tobi Awodunmila, Muhammad Ahmed Mohsin +2
The dynamic allocation of spectrum in 5G / 6G networks is critical to efficient resource utilization. However, applying traditional deep reinforcement learning (DRL) is often infea…
QPPG: Quantum-Preconditioned Policy Gradient for Link Adaptation in Rayleigh Fading Channels
Oluwaseyi Giwa, Muhammad Ahmed Mohsin, Folarin Jubril Adesola +1
Reliable link adaptation is critical for efficient wireless communications in dynamic fading environments. However, reinforcement learning (RL) solutions often suffer from unstable…
Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweening
Michael Adewole, Oluwaseyi Giwa, Favour Nerrise +2
Human motion generation is an important area of research in many fields. In this work, we tackle the problem of motion stitching and in-betweening. Current methods either require m…