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An Asynchronous Schwarz-IC Cascade MUD Detection Algorithm for Multiple Access Mobile Communication System

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IoT as a Service (IoTaaS 2018)

Abstract

The multi-user detection precision and interference suppression processing efficiency of single successive interference cancellation (SIC), parallel interference cancellation (PIC) algorithm and the cascade structure interference cancellation (IC) algorithm are always affected by single-stage and multi-stage detection error diffusion. This paper focuses on the detection error diffusion of multiple access communication system with strong multiple access interference (MAI) and inter symbol interference (ISI). In this paper, a Schwarz-IC (S-IC) cascade multi-user detection (MUD) algorithm based on the monotone convergence characteristics of the Schwarz algorithm, is proposed for the multiple access mobile asynchronous communication system. The Schwarz-IC algorithm can precisely control the sub-domain boundary value of the user load power in system, efficiently track the change wireless channel, avoid the single-stage or multi-stage detection error diffusion of single interference cancellation algorithm and improve the detection convergence. Simulation results show that the Schwarz-IC algorithm is of better BER performance, detection accuracy and dynamic tracking capability.

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Acknowledgment

This work was supported in part by:

(1) The National Science Foundation of China (61701521).

(2) The Certificate of China Postdoctoral Science Foundation Grant (2016M603044).

(3) The National Science Foundation of ShannXi (2018JQ6074).

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Correspondence to Weiting Gao .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Gao, W., Zhu, H., Cheng, G., Ma, F., Liu, W. (2019). An Asynchronous Schwarz-IC Cascade MUD Detection Algorithm for Multiple Access Mobile Communication System. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_45

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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