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Method for the Blind Estimation of Power Coefficients in PD-NOMA Systems

Статья в сборнике трудов конференции

A method of power domain non-orthogonal multiple access with user channel multiplexing is a promising approach for organizing multichannel communication in modern digital wireless systems. Generation of a non-orthogonal group signal involves the superposition of user signals with different weight power coefficients in a single frequency-time resource segment. Decoding such a signal at the receiver requires the information about the weights used in multiplexing. This information is transmitted in control channels and provides additional load on the data network, which in turn reduces its effectiveness. A blind estimation method of power coefficients is proposed to solve this issue. A simulation model has been developed to study proposed method. Simulation resulted in the dependence of the blind estimation of power coefficients error on the signal-to-noise ratio in the transmission channel and on the signal sample length. The result of the study showed that the blind estimation of power coefficients insignificantly worsens the probability of a bit error when decoding a group non-orthogonal signal. Despite this, the proposed blind estimation method can be considered in an attempt to optimize control channel traffic.

Библиографическая запись: Method for the Blind Estimation of Power Coefficients in PD-NOMA Systems [Electronic resource] / Ya.V. Kryukov [et al.] // Journal of Physics: Conference Series. – 28 December 2020. – Vol. 1694. – Iss. 1. – P. 012016. – DOI: 10.1088/1742-6596/1694/1/012016

Конференция:

Является интернет-конференцией
  • 7th International Young Scientists Conference on Information Technology, Telecommunications and Control Systems, ITTCS 2020
  • Россия, Татарстан, Казань, 17-18 декабря 2020,
  • Международная

Издательство:

IOP Publishing Ltd

Россия, Московская область, Москва

Год издания:  2020
Страницы:  1 - 6
Язык:  Английский
DOI:  10.1088/1742-6596/1694/1/012016
Индексируется в Scopus, РИНЦ