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 …
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 …
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 …
Decentralized multi-agent bandit learning for intelligent internet of things systems
In intelligent Internet of Things systems, data-hungry services are empowered by data
collection, which is jointly accomplished by edge servers and data-collecting sensors. In this …
collection, which is jointly accomplished by edge servers and data-collecting sensors. In this …
Interference-aware opportunistic random access in dense IoT networks
It is a challenging task to design a random access protocol that achieves the optimal
throughput in multi-cell random access with decentralized transmission due to the difficulty …
throughput in multi-cell random access with decentralized transmission due to the difficulty …
Energy-efficient and reliable IoT access without radio resource reservation
One of the major challenges for Internet-of-Things applications is that the existing cellular
technologies do not support the uplink IoT traffic in an energy-efficient manner. There are …
technologies do not support the uplink IoT traffic in an energy-efficient manner. There are …
Distributed learning for low latency machine type communication in a massive Internet of Things
The Internet of Things (IoT) will encompass a massive number of machine type devices that
must wirelessly transmit, in near real-time, a diverse set of messages sensed from their …
must wirelessly transmit, in near real-time, a diverse set of messages sensed from their …
Capacity region of ALOHA protocol for heterogeneous IoT networks
In an Internet of Things (IoT) network, heterogeneous users with different priorities and
service requirements will co-exist. This makes scheduling access to the shared …
service requirements will co-exist. This makes scheduling access to the shared …