Uplink NOMA-based long-term throughput maximization scheme for cognitive radio networks: an actor–critic reinforcement learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-020-02520-y.pdf
Reference64 articles.
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3. Hong, X., Wang, J., Wang, C., & Shi, J. (2014). Cognitive radio in 5G: A perspective on energy-spectral efficiency trade-off. IEEE Communications Magazine, 52(7), 46–53.
4. Wang, B., & Liu, K. J. R. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5(1), 5–23.
5. Akyildiz, I. F., Lee, W., Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46(4), 40–48.
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