Shi Wang
Orcid: 0000-0001-8018-4345Affiliations:
- Liaoning Technical University, School of Electronics and Information Engineering, China
- University of Pretoria, Faculty of Engineering, South Africa (PhD 2018)
According to our database1,
Shi Wang
authored at least 13 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
A channel allocation protocol to prevent strategic manipulation in cognitive radio network.
Telecommun. Syst., June, 2025
Comput. Networks, 2025
2024
A novel dynamic channel allocation protocol based on data traffic characterization model in CR-IoT network.
Telecommun. Syst., November, 2024
A Binary Artificial Rabbit Optimization Algorithm for Improved Cognitive Radio Spectrum Allocation.
J. Circuits Syst. Comput., October, 2024
Burst traffic: Congestion management and performance optimization strategies in heterogeneous cognitive radio networks.
IET Commun., May, 2024
An evaluation framework integrating sensing and transmission in cognitive radio networks.
Comput. Electr. Eng., 2024
Research on sentiment analysis of Bi-LSTM model combining cosine annealing and multi-head attention.
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024
2023
A Channel Allocation Framework Under Responsive Pricing in Heterogeneous Cognitive Radio Network.
IEEE Trans. Cogn. Commun. Netw., August, 2023
2019
A Virtual Control Layer Resource Allocation Framework for Heterogeneous Cognitive Radio Network.
IEEE Access, 2019
A Queueing Framework for Channel Allocation Protocol in Multi-user Multi-channel Cognitive Radio Network.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019
2018
Queueing Analysis of Performance Measures Under a New Configurable Channel Allocation in Cognitive Radio.
IEEE Trans. Veh. Technol., 2018
A maximum throughput channel allocation protocol in multi-channel multi-user cognitive radio network.
J. Commun. Networks, 2018
2016
Resource Allocation and Performance Measures in Multi-User Multi-Channel Cognitive Radio Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016