Spectrum Allocation Algorithm Based on Game Theory Under Energy Harvesting
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6324-6_66
Reference10 articles.
1. Mitola, J., Maguire, G.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999). https://doi.org/10.1109/98.788210
2. Shetkar, P., Ronghe, S.: Spectrum sensing and dynamic spectrum allocation for cognitive radio network. In: 4th International Conference for Convergence in Technology (I2CT), pp. 1–5 (2018). https://doi.org/10.1109/I2CT42659.2018.9057839
3. Li, P., Zhao, Z., Liu, D., Hou, D., et al.: The research of dynamic spectrum allocation based on game theory. In: IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 14–17 (2018). https://doi.org/10.1109/IAEAC.2018.8577243
4. Du, B., Xue, R., Zhao, L., et al.: Coalitional graph game for air-to-air and air-to-ground cognitive spectrum sharing. IEEE Trans. Aerosp. Electron. Syst. 56(4), 2959–2977 (2020). https://doi.org/10.1109/TAES.2019.2958162
5. Zhang, N., Yang, D., Jing, L., et al.: An advanced algorithm for spectrum allocation of primary users based on Cournot game. In: IEEE International Conference on Signal, Information and Data Processing (ICSIDP), pp. 1–4 (2019). https://doi.org/10.1109/ICSIDP47821.2019.9173393
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