Paper
15 July 2022 Effect of active sub-carriers' Number on OFDM-IM systems and numerical optimization
Linkun Liu, Kainan Zhang
Author Affiliations +
Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 1225810 (2022) https://doi.org/10.1117/12.2640507
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China
Abstract
This paper builds an OFDM-IM simulation system, analyzes the system bit error rate (BER) and the system signal-to-noise ratio (SNR) changes under different activated sub-carrier values. The conclusion is that when only BER is considered, activating a small number of sub-carriers will get better results. Then it analyzes the change rule of the optimal solution number of activated sub-carriers with the total number of sub-carriers, and obtains a general mathematical formula description, and combines relevant data such as the proportion of the optimal number of activated sub-carriers, and the theoretical transmission speed optimization rate, Compared with the OFDM system, the conclusion is that when the subcarriers carry more information, the addition of the IM system does not significantly improve the performance of the system, but increases the complexity of calculation and coding. In the above case, the optimal number of activated subcarriers is almost equivalent to the total number of sub-carriers, so adding IM modulation at this time does not make much sense.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linkun Liu and Kainan Zhang "Effect of active sub-carriers' Number on OFDM-IM systems and numerical optimization", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 1225810 (15 July 2022); https://doi.org/10.1117/12.2640507
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KEYWORDS
Modulation

Orthogonal frequency division multiplexing

Signal to noise ratio

Sensors

Telecommunications

Computer simulations

MATLAB

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