Inverse reinforcement learning with graph neural networks for iot resource allocation
The rapid development of Internet of Things (IoT) applications requires efficient computing
and communication resource allocation strategies to streamline the existing network …
and communication resource allocation strategies to streamline the existing network …
Two-timescale resource allocation for automated networks in IIoT
The rapid technological advances of cellular technologies will revolutionize network
automation in industrial internet of things (IIoT). In this paper, we investigate the two …
automation in industrial internet of things (IIoT). In this paper, we investigate the two …
Cooperative reinforcement learning for adaptive power allocation in device-to-device communication
Mobile devices are an intrinsic part of the Internet of Things (IoT) paradigm. Device-to-device
(D2D) communication is emerging as one of the viable solutions for the radio resource …
(D2D) communication is emerging as one of the viable solutions for the radio resource …
[HTML][HTML] Channel assignment and power allocation for throughput improvement with ppo in b5g heterogeneous edge networks
Abstract In Beyond the Fifth Generation (B5G) heterogeneous edge networks, numerous
users are multiplexed on a channel or served on the same frequency resource block, in …
users are multiplexed on a channel or served on the same frequency resource block, in …
Reinforcement learning based distributed resource allocation technique in device-to-device (D2D) communication
S Jayakumar, S Nandakumar - Wireless Networks, 2023 - Springer
Device to Device communication (D2D) is a promising and one of the technologies that is
envisioned to be significant one in the future wireless communication systems. The fifth …
envisioned to be significant one in the future wireless communication systems. The fifth …
Learning driven resource allocation and SIC ordering in EH relay aided NB-IoT networks
Integrating the energy-harvesting (EH) relay and non-orthogonal multiple access (NOMA)
technologies into narrow band internet of things (NB-IoT) networks can efficiently improve …
technologies into narrow band internet of things (NB-IoT) networks can efficiently improve …
[HTML][HTML] Distributed data-driven learning-based optimal dynamic resource allocation for multi-ris-assisted multi-user ad-hoc network
Y Zhang, H Xu - Algorithms, 2024 - mdpi.com
This study investigates the problem of decentralized dynamic resource allocation
optimization for ad-hoc network communication with the support of reconfigurable intelligent …
optimization for ad-hoc network communication with the support of reconfigurable intelligent …
[HTML][HTML] Deep reinforcement learning-assisted optimization for resource allocation in downlink OFDMA cooperative systems
MK Tefera, S Zhang, Z Jin - Entropy, 2023 - mdpi.com
This paper considers a downlink resource-allocation problem in distributed interference
orthogonal frequency-division multiple access (OFDMA) systems under maximal power …
orthogonal frequency-division multiple access (OFDMA) systems under maximal power …
Deep reinforcement learning based cooperative partial task offloading and resource allocation for IIoT applications
The Industrial Internet of Things (IIoT) has been regarded as one of the pillars supporting the
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …
NOMA-based resource allocation and mobility enhancement framework for IoT in next generation cellular networks
R Abozariba, MK Naeem, M Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
With the unprecedented technological advances witnessed in the last two decades, more
devices are connected to the Internet, forming what is called the Internet of Things (IoT). The …
devices are connected to the Internet, forming what is called the Internet of Things (IoT). The …