5 papers
Toward Native ISAC Support in O-RAN Architectures for 6G
Eduardo Baena, Rajesh Krishnan, Mai Vu +2
ISAC is an emerging paradigm in 6G networks that enables environmental sensing using wireless communication infrastructure. Current O-RAN specifications lack the architectural prim…
Joint Beamforming and Integer User Association using a GNN with Gumbel-Softmax Reparameterizations
Qing Lyu, Mai Vu
Machine learning (ML) models can effectively optimize a multi-cell wireless network by designing the beamforming vectors and association decisions. Existing ML designs, however, of…
Graph Neural Network Based Hybrid Beamforming Design in Wideband Terahertz MIMO-OFDM Systems
Beier Li, Mai Vu
6G wireless technology is projected to adopt higher and wider frequency bands, enabled by highly directional beamforming. However, the vast bandwidths available also make the impac…
Graph Neural Network Based Beamforming and RIS Reflection Design in A Multi-RIS Assisted Wireless Network
Byungju Lim, Mai Vu
We propose a graph neural network (GNN) architecture to optimize base station (BS) beamforming and reconfigurable intelligent surface (RIS) phase shifts in a multi-RIS assisted wir…
Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks
Alireza Alizadeh, Byungju Lim, Mai Vu
As next generation cellular networks become denser, associating users with the optimal base stations at each time while ensuring no base station is overloaded becomes critical for…