Channel assignment algorithms in cognitive radio networks: Taxonomy, open issues, and challenges

E Ahmed, A Gani, S Abolfazli, LJ Yao… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
The cognitive radio is an emerging technology that enables dynamic spectrum access in
wireless networks. The cognitive radio is capable of opportunistically using the available …

A survey of routing and channel assignment in multi-channel multi-radio WMNs

Y Qu, B Ng, W Seah - Journal of Network and Computer Applications, 2016 - Elsevier
Wireless mesh networks provide cost-effective coverage and high network performance by
utilising advanced radio frequency technology such as multiple channel multiple radio …

Ace: A routing algorithm based on autonomous channel scheduling for bluetooth mesh network

M Wang, Y Li, J Lv, Y Gao, C Qiao, B Liu, W Dong - Electronics, 2021 - mdpi.com
The Internet of Things (IoT) interconnects massive cyber-physical devices (CPD) to provide
various applications, such as smart home and smart building. Bluetooth Mesh is an …

The F/DR-D-10 Algorithm: A Novel Heuristic Strategy to Solve the Minimum Span Frequency Assignment Problem Embedded in Mobile Applications

CI Páez-Rueda, A Fajardo, M Pérez, G Yamhure… - Mathematics, 2023 - mdpi.com
Wireless communication supports various real-world applications, such as aeronautical
navigation, satellite and TV broadcasting, wireless LANs, and mobile communications. The …

Integrating low-power wide-area networks for enhanced scalability and extended coverage

M Rahman, A Saifullah - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
Low-Power Wide-Area Networks (LPWANs) are evolving as an enabling technology for
Internet-of-Things (IoT) due to their capability of communicating over long distances at very …

Advanced frequency resource allocation for industrial wireless control in 6G subnetworks

D Li, SR Khosravirad, T Tao… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
The concept of in-X subnetworks has been recently proposed to meet extreme
communication requirements such as sub-millisecond latency and up to 9 nines reliability in …

Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure

M Boffa, ZB Houidi, J Krolikowski, D Rossi - arxiv preprint arxiv …, 2022 - arxiv.org
Recent years have witnessed the promise that reinforcement learning, coupled with Graph
Neural Network (GNN) architectures, could learn to solve hard combinatorial optimization …

Cooperative channel assignment for VANETs based on multiagent reinforcement learning

Y Wang, K Zheng, D Tian, X Duan, J Zhou - Frontiers of Information …, 2020 - Springer
Dynamic channel assignment (DCA) plays a key role in extending vehicular ad-hoc network
capacity and mitigating congestion. However, channel assignment under vehicular direct …

Distributed learning in noisy-potential games for resource allocation in D2D networks

MS Ali, P Coucheney… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We propose a distributed learning algorithm for the resource allocation problem in Device-to-
Device (D2D) wireless networks that takes into account the throughput estimation noise. We …

Ant colony optimization for channel assignment problem in a clustered mobile ad hoc network

M Parsapoor, U Bilstrup - … : 4th International Conference, ICSI 2013, Harbin …, 2013 - Springer
This paper presents an ant colony optimization (ACO) method as a method for channel
assignment in a mobile ad hoc network (MANET), where achieving high spectral efficiency …