Channel assignment algorithms in cognitive radio networks: Taxonomy, open issues, and challenges
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 …
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
Wireless mesh networks provide cost-effective coverage and high network performance by
utilising advanced radio frequency technology such as multiple channel multiple radio …
utilising advanced radio frequency technology such as multiple channel multiple radio …
Ace: A routing algorithm based on autonomous channel scheduling for bluetooth mesh network
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 …
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
Wireless communication supports various real-world applications, such as aeronautical
navigation, satellite and TV broadcasting, wireless LANs, and mobile communications. The …
navigation, satellite and TV broadcasting, wireless LANs, and mobile communications. The …
Integrating low-power wide-area networks for enhanced scalability and extended coverage
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 …
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
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 …
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
Recent years have witnessed the promise that reinforcement learning, coupled with Graph
Neural Network (GNN) architectures, could learn to solve hard combinatorial optimization …
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 …
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 …
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 …
assignment in a mobile ad hoc network (MANET), where achieving high spectral efficiency …