Multi-Agent Multi-Armed Bandit Learning for Grant-Free Access in Ultra-Dense IoT Networks
Meeting the diverse quality-of-service (QoS) requirements in ultra-dense Internet of Things
(IoT) networks operating under varying network loads is challenging. Moreover, latency …
(IoT) networks operating under varying network loads is challenging. Moreover, latency …
Key Enabling Mechanisms for Mission-Critical Internet of Things
MA Raza - 2023 - opus.lib.uts.edu.au
Internet-of-Things (IoT) networks are composed of devices generating varying amounts of
data with diverse quality of service (QoS) requirements. Mission-critical IoT networks aim to …
data with diverse quality of service (QoS) requirements. Mission-critical IoT networks aim to …
Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario
Efficient Random Access (RA) is critical for enabling reliable communication in Industrial
Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning based …
Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning based …
Two-sided learning for NOMA-based random access in IoT networks
J Choi - IEEE Access, 2021 - ieeexplore.ieee.org
In the Internet-of-Things (IoT), different types of devices can co-exist within a network. For
example, there can be cheap but inflexible devices and flexible devices in terms of radio …
example, there can be cheap but inflexible devices and flexible devices in terms of radio …
Multiagent reinforcement learning meets random access in massive cellular internet of things
Internet of Things (IoT) has attracted considerable attention in recent years due to its
potential of interconnecting a large number of heterogeneous wireless devices. However, it …
potential of interconnecting a large number of heterogeneous wireless devices. However, it …
Performance evaluation of reinforcement learning based distributed channel selection algorithm in massive IoT networks
In recent years, the demand for new applications using various Internet of Things (IoT)
devices has led to an increase in the number of devices connected to wireless networks …
devices has led to an increase in the number of devices connected to wireless networks …
Statistical learning-based grant-free access for delay-sensitive Internet of Things applications
Mission-critical Internet-of-Things (IoT) applications require communication interfaces that
provide ultra-reliability and low latency. Acquiring knowledge regarding the number of active …
provide ultra-reliability and low latency. Acquiring knowledge regarding the number of active …
Statistical Learning-Based Adaptive Network Access for the Industrial Internet of Things
Industrial Internet of Things (IIoT) applications generate data in varying amounts with diverse
quality of service requirements. The adaptive network access approach and distributed …
quality of service requirements. The adaptive network access approach and distributed …
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings
Abstract Setting up the future Internet of Things (IoT) networks will require to support more
and more communicating devices. We prove that intelligent devices in unlicensed bands …
and more communicating devices. We prove that intelligent devices in unlicensed bands …
Performance evaluation of machine learning based channel selection algorithm implemented on IoT sensor devices in coexisting IoT networks
The number of IoT devices may dramatically increase in the near future. Numerous IoT
devices may generate enormous traffic, which causes network congestions and packet …
devices may generate enormous traffic, which causes network congestions and packet …