… of Deep Learning-based techniques in IoT networks and … novel sequential learning-based
energy prediction and estimation … of Deep Learning to power allocation, interference detection, …

… to a sensor network in an Internet of Things (IoT) network. … We developed a collaboration
based on user QoS preferences that … Machine learning-based resource allocation for multi-UAV …

… from our work because it focuses on IoT systems, and does not … on DRL-based improvement
of QoS at the MAC layer. First, … learning (SSL): learning based on a mix of unlabeled and …

… to achieve improved network quality-of-service (QoS) and quality-of-… (5G) cellular systems
and the Internet-of-Things (IoT), the big … and predict trends (eg, at the PHY layer: interference …

… and trajectory prediction in 5G drone IoT networks. The DL-… for IoT users and mobile users
with cooperative interference … services through offering quality of service (QoS) support and …

… the performance enhancement of 5G-enabled IoT systems, … the minimum appropriate
predicted distance between CUE-… conditions and the required system QoS. Furthermore, by …

… This literature review covers QoS, anomaly detection, and machine learning and deep
learning's … , “QoS enhancement with deep learning-based interference prediction in mobile IoT,” …

… Furthermore, we also categorically discuss the enhancements in this … are essential for the
QoS guarantees in IoT applications and … In [84], a deep learning-based multimodel integration …

… The QoS constraints of the cellular user cu j and the IoT node … signal-to-interference ratio
(SIR). It is a common approach in … gain is defined as the improvement in the overall system …

… interference ratio (SNIR) threshold specific to the selected cluster. The results demonstrate a
notable improvement … model takes into account the actual quality of service of the BSs, and …