Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2021.3078498
Abstract: In this paper, we develop a knowledge-assisted deep reinforcement learning (DRL) algorithm to design wireless schedulers in the fifth-generation (5G) cellular networks with time-sensitive traffic. Since the scheduling policy is a deterministic mapping from channel… read more here.
Keywords: assisted deep; scheduler; deep reinforcement; knowledge assisted ... See more keywords
Knowledge-Assisted Resource Allocation With Domain Adversarial Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2024.3440395
Abstract: Relying on a data-driven methodology, deep learning has emerged as a new approach for dynamic resource allocation in large-scale cellular networks. This paper proposes a knowledge-assisted domain adversarial network to reduce the number of poorly… read more here.
Keywords: domain adversarial; resource; network; knowledge assisted ... See more keywords
KAVAI: A Systematic Review of the Building Blocks for Knowledge-Assisted Visual Analytics in Industrial Manufacturing
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app151810172
Abstract: Industry 4.0 produces large volumes of sensor and machine data, offering new possibilities for manufacturing analytics but also creating challenges in combining domain knowledge with visual analysis. We present a systematic review of 13 peer-reviewed… read more here.
Keywords: assisted visual; knowledge; systematic review; building blocks ... See more keywords