Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
BM Robaglia, M Coupechoux… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC)
in wireless networks, a framework with particularly stringent constraints imposed by many …
in wireless networks, a framework with particularly stringent constraints imposed by many …
Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11 ah MAC Layer
The IEEE 802.11 ah standard is introduced to address the growing scale of internet of things
(IoT) applications. To reduce contention and enhance energy efficiency in the system, the …
(IoT) applications. To reduce contention and enhance energy efficiency in the system, the …
Connectionless transmission in wireless networks (IoT)
I Hmedoush - 2022 - theses.hal.science
The origin of the idea of adding intelligence to basic objects and making them communicate
has been lost to history. But in recent times, the emergence of the Internet as a global …
has been lost to history. But in recent times, the emergence of the Internet as a global …
Deep learning, sensing-based IRSA (DS-IRSA): Learning a sensing protocol with deep reinforcement learning
Irregular Repetition Slotted Aloha (IRSA) is one candidate member of a family of random
access-based protocols to solve massive connectivity problem for Internet of Things (IoT) …
access-based protocols to solve massive connectivity problem for Internet of Things (IoT) …
SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines
BM Robaglia, M Coupechoux… - 2023 Joint European …, 2023 - ieeexplore.ieee.org
Recent studies suggest that Multi-Agent Reinforcement Learning (MARL) can be a
promising approach to tackle wireless telecommunication problems and Multiple Access …
promising approach to tackle wireless telecommunication problems and Multiple Access …
Hierarchical deep reinforcement learning for age-of-information minimization in irs-aided and wireless-powered wireless networks
In this paper, we focus on a wireless-powered sensor network coordinated by a multi-
antenna access point (AP). Each node can generate sensing information and report the …
antenna access point (AP). Each node can generate sensing information and report the …
[PDF][PDF] Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
D Tsilimantos - marceaucoupechoux.wp.imt.fr
This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC)
in wireless networks, a framework with particularly stringent constraints imposed by many …
in wireless networks, a framework with particularly stringent constraints imposed by many …
[引用][C] Ecole Doctorale Informatique, Télécommunications et Electronique de Paris
I HMEDOUSH - 2022 - Université de Versailles