User Policy Optimization for Ultra-Reliable Low-Latency Communications
Title: User Policy Optimization for Ultra-Reliable Low-Latency Communications
SNIC Project: SNIC 2021/22-1024
Project Type: SNIC Small Compute
Principal Investigator: Jianan Bai <jianan.bai@liu.se>
Affiliation: Linköpings universitet
Duration: 2021-12-16 – 2023-01-01
Classification: 20203
Keywords:

Abstract

This project investigates decentralized user policy for ultra-reliable low-latency communications (URLLC). The main focus is grant-free multiple access (GFMA), during which the users start data transmission without a grant. Since users are uncoordinated during GFMA, the network performance can be severely degraded due to pilot collision and interference. Our interest is to explore machine learning algorithms, especially multi-agent reinforcement learning, to develop decentralized policy, such that the users can make access decisions cooperatively by only using local information.