Breathe to save energy: Assigning downlink transmit power and resource blocks to LTE enabled IoT networks

VJ Kotagi, R Thakur, S Mishra… - IEEE Communications …, 2016 - ieeexplore.ieee.org
Undoubtedly, the Internet of Things (IoT) is the next big revolution in the field of wireless
communication networks. IoT is an invisible network, which connects the physical world to …

Energy-aware task allocation for mobile IoT by online reinforcement learning

J Yao, N Ansari - … 2019-2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Fog-aided Internet of Things (IoT) networks provide low latency IoT services by offloading
computational intensive and delay sensitive tasks to the fog nodes, which are deployed …

Deep reinforcement learning based wireless resource allocation for V2X communications

J Li, J Zhao, X Sun - 2021 13th International Conference on …, 2021 - ieeexplore.ieee.org
The shortage and low utilization of air-interface spectrum resources have always been the
bottleneck of the development of vehicle-to-everything (V2X) communications. In this paper …

Priority-aware access strategy for GF-NOMA system in IIoT: the device-specific allocation approach

D Wu, Z Zhang, Y Huang, X Qin - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To support large-scale connectivity of massive machine-type communication (mMTC)
devices in Industrial Internet of Things (IIoT) scenario, a grant-free (GF) transmission aided …

Data rate utility analysis for uplink two-hop internet of things networks

H Ibrahim, W Bao, UT Nguyen - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
We study the fundamental problem of spectrum allocation and device association in uplink
two-hop Internet of Things (IoT) networks under two spectrum allocation schemes: 1) …

Edge intelligence-driven joint offloading and resource allocation for future 6G industrial Internet of Things

Y Gong, H Yao, J Wang, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …

HRL-TSCH: A Hierarchical Reinforcement Learning-Based TSCH Scheduler for IIoT

FF Jurado-Lasso, C Orfanidis… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) demands adaptable Networked Embedded Systems
(NES) for optimal performance. Combined with recent advances in Artificial Intelligence (AI) …

Biologically inspired resource allocation for network slices in 5G-enabled Internet of Things

D Wu, Z Zhang, S Wu, J Yang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The fifth generation (5G) mobile communication system is regard as a key enabler in
promoting the deployment of Internet of Things (IoT), which is accompanied by the …

Learning-based flexible cross-layer optimization for ultrareliable and low-latency applications in IoT scenarios

J Zhang, X Xu, K Zhang, S Han, X Tao… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the continuous popularization and deepening of the Internet-of-Things (IoT)
technologies, trillions of IoT Devices (IoTD) are connected to the network. The huge growth …

Energy-efficient power allocation in multitier 5G networks using enhanced online learning

I AlQerm, B Shihada - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
The multitier heterogeneous structure of 5G with dense small cells deployment, relays, and
device-to-device (D2D) communications operating in an underlay fashion is envisioned as a …