A deep reinforcement learning-based resource scheduler for massive MIMO networks

Q An, S Segarra, C Dick, A Sabharwal… - … Machine Learning in …, 2023 - ieeexplore.ieee.org
The large number of antennas in massive MIMO systems allows the base station to
communicate with multiple users at the same time and frequency resource with multi-user …

Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks

Q An, D Pandey, R Doost-Mohammady… - arXiv preprint arXiv …, 2024 - arxiv.org
An important aspect of 5G networks is the development of Radio Access Network (RAN)
slicing, a concept wherein the virtualized infrastructure of wireless networks is subdivided …

A Real-Complex Hybrid User Scheduling Algorithm Under the Delay-Restricted Scenario

X Xiong, C Dong, Y Bian, K Niu - IEEE Wireless …, 2024 - ieeexplore.ieee.org
For delay-restricted multi-slot scenarios, this letter proposes a real-complex hybrid user
scheduling (RCHS) algorithm. RCHS is designed for real-complex hybrid modulation …

A Collision Probability Based Multi-User Grant-Free Scheduling Method for Ultra-Reliable and Low Latency Communications

X Song, Z Yin, Y Li, X Li, J Wang… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Due to the stringent requirements of ultra-reliability and low latency, Ultra-Reliable Low-
Latency Communication (URLLC) is facing great challenges in data packets transmission …

[PDF][PDF] Uplink Multi-user MIMO Scheduling in Next-gen Communication Systems

AT Tariq, PK Srinath - 2022 - pergamos.lib.uoa.gr
With the sparse radio spectrum shared by extremely demanding advanced applications,
notably Extended Reality (XR), optimization for resource allocation becomes considerably …

[PDF][PDF] A thesis submitted

Q An - 2024 - repository.rice.edu
Resource scheduling and link adaptation are crucial aspects of massive Multiple Input
Multiple Output (MIMO) networks. In the context of massive MIMO, which involves a large …