Intelligent resource allocation in dense lora networks using deep reinforcement learning

I Ilahi, M Usama, MO Farooq, MU Janjua… - arXiv preprint arXiv …, 2020 - arxiv.org
The anticipated increase in the count of IoT devices in the coming years motivates the
development of efficient algorithms that can help in their effective management while …

Deep learning-based transceiver design for multi-user MIMO systems

T Zhang, J Yu, A Dong, J Qiu - Internet of Things, 2022 - Elsevier
Multi-user multiple-input multiple-output (MIMO) is a key technique to increase both the
channel capacity and the number of users that can be served simultaneously. One of the …

[HTML][HTML] Exploring Personalized Internet of Things (PIoT), social connectivity, and Artificial Social Intelligence (ASI): A survey

B Gulzar, SA Sofi, S Sholla - High-Confidence Computing, 2024 - Elsevier
Pervasive Computing has become more personal with the widespread adoption of the
Internet of Things (IoT) in our day-to-day lives. The emerging domain that encompasses …

Performance Analysis and Deep Learning Design of Short-Packet Communication in Multi-RIS Aided Multi-Antenna Wireless Systems

KT Nguyen, TH Vu, S Kim - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This article studies short-packet communication (SPC) in multireconfigurable intelligent
surface (RIS)-assisted multiantenna wireless systems. In this system, a sensor node …

Overview of network slicing: Business and standards perspective for beyond 5g networks

B Khan, A Mihovska, R Prasad… - 2021 IEEE Conference …, 2021 - ieeexplore.ieee.org
The deployment of fifth-generation wireless commu-nications (5G) networks brought a
significant difference in the data rate and throughput to the wireless systems. It ensures ultra …

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

S Wang, MA Qureshi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Around 2020, 5G began its commercialization journey, and discussions about the next-
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …

[HTML][HTML] Incremental RBF-based cross-tier interference mitigation for resource-constrained dense IoT networks in 5G communication system

O Alruwaili, J Logeshwaran, Y Natarajan, MA Alrowaily… - Heliyon, 2024 - cell.com
The deployment of resource-constrained and densely distributed Internet of Things (IoT)
devices poses significant challenges for 5G communication systems due to the increased …

A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing

S Math, P Tam, A Lee, S Kim - Personal and Ubiquitous Computing, 2023 - Springer
The convergence of mobile edge computing (MEC) to the current Internet of Things (IoT)
environment enables a great opportunity to enhance massive IoT data transmission. In the …

Localization of a Passive Object in 3-D by Propagation Time Delays to A Rigid Body Receiver of Unknown Location

X Ke, KC Ho - IEEE Transactions on Signal Processing, 2024 - ieeexplore.ieee.org
Self-localization of sensor nodes is the first step towards the positioning of an intended
object. This paper proposes the use of a rigid body with sensors attached as a receiver …

[HTML][HTML] Deep Reinforcement Learning-Based Resource Allocation for Cellular Vehicular Network Mode 3 with Underlay Approach

J Fu, X Qin, Y Huang, L Tang, Y Liu - Sensors, 2022 - mdpi.com
Vehicle-to-vehicle (V2V) communication has attracted increasing attention since it can
improve road safety and traffic efficiency. In the underlay approach of mode 3, the V2V links …