Abstract
The blind detection algorithm for modulation order (MOD) of interference user in power-domain non-orthogonal multiple access (NO-MA) is studied by academics. Maximum likelihood method is the optimal approach, but with huge computational complexity. A sub-optimal approach based on max-log approximation is deduced which can reduce computational complexity, but with performance degradation. This paper investigates an improved blind detection algorithm for modulation order based on max-log likelihood approach in NOMA systems. Unlike the other two algorithms, the proposed algorithm takes the statistical characteristics of the received signal into consideration. The complexity analysis and link-level simulation results are provided to verify that the proposed method outperforms the max-log likelihood method with a little additional computational complexity, and it is a good trade-off between complexity and performance.
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Acknowledgement
This work was supported by the Fundamental Research Funds for the Central Universities and the National Natural Science Foundation of China (61501056).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cheng, K., Zhang, N., Kang, G. (2019). A Blind Detection Algorithm for Modulation Order in NOMA Systems. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_67
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DOI: https://doi.org/10.1007/978-3-030-06161-6_67
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