Resource Allocation for LoRaWAN Network Slicing: Multi-Armed Bandit-based Approaches

FZ Mardi, Y Hadjadj-Aoul, M Bagaa, N Benamar - Internet of Things, 2024 - Elsevier
Wireless sensor networks have become increasingly popular in recent years due to the
growing demand for Internet of Things (IoT) applications, including LoRaWAN networks …

Heuristic-Deep Q-Network-Based Network Slicing in LoRaWAN

FZ Mardi, M Bagaa, Y Hadjadj-Aoul… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Due to the increase in the number of Internet of Things (IoT) devices in recent years,
managing and supporting the diversity of services is becoming more difficult. Network …

Deep reinforcement learning based resource allocation in dense sliced LoRaWAN networks

A Tellache, A Mekrache, A Bradai… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Long-Range Wide Area Network (LoRaWAN) is a rapidly expanding communication system
for Low Power Wide Area Network (LPWAN) in the Internet of Things (IoTs) deployments. It …

An efficient allocation system for centralized network slicing in lorawan

FZ Mardi, M Bagaa, Y Hadjadj-Aoul… - … and Mobile Computing …, 2022 - ieeexplore.ieee.org
The new emerging technologies enable the appearance of the 5G system and beyond that
offers a plethora of services and target new verticals. One of these verticals is the large-scale …

MIX-MAB: Reinforcement learning-based resource allocation algorithm for LoRaWAN

F Azizi, B Teymuri, R Aslani, M Rasti… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
This paper focuses on improving the resource allocation algorithm in terms of packet
delivery ratio (PDR), ie, the number of successfully received packets sent by end devices …

Intelligent resource allocation in LoRaWAN using machine learning techniques

SU Minhaj, A Mahmood, SF Abedin, SA Hassan… - IEEE …, 2023 - ieeexplore.ieee.org
With the ubiquitous growth of Internet-of-things (IoT) devices, current low-power wide-area
network (LPWAN) technologies will inevitably face performance degradation due to …

Cooperation for spreading factor assignment in a multioperator lorawan deployment

H Fawaz, K Khawam, S Lahoud… - IEEE internet of …, 2020 - ieeexplore.ieee.org
Faced with the limitations of the Aloha random access scheme and spread spectrum
techniques, LoRaWAN is yet to realize its potential as the flagship technology for large-scale …

Energy-Aware Spreading Factor Selection in LoRaWAN Using Delayed-Feedback Bandits

RE Navas, G Dandachi… - 2023 IFIP Networking …, 2023 - ieeexplore.ieee.org
LoRaWAN networks can involve large numbers of wireless devices relying on batteries to
sense the environment and send data to gateways. A critical trade-off for transmission …

L3sfa: Load shifting strategy for spreading factor allocation in lorawan systems

M Hamnache, R Kacimi… - 2020 IEEE 45th …, 2020 - ieeexplore.ieee.org
LoRaWAN Enabled networks are expected to have a dizzying growth. Thus, an efficient
allocation of wireless resources so as to support a large number of nodes is a major …

A frequency-based intelligent slicing in LoRaWAN with Admission Control Aspects

G Dandachi, Y Hadjadj-Aoul - Proceedings of the 25th International ACM …, 2022 - dl.acm.org
The significant deployment of LoRaWAN networks is increasingly questioning its ability to
handle massive numbers of IoT devices and its ability to support service differentiation. The …