Paper
18 November 2024 LFM-assisted PAPR reduction scheme for satellite Internet of Things sparse code multiple access systems
Haojun Zhao, Jing Zhang, Junfeng Cheng, Yue Zhan, Zhou Lu
Author Affiliations +
Proceedings Volume 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024); 133981N (2024) https://doi.org/10.1117/12.3049693
Event: Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 2024, Nanjing, China
Abstract
Sparse Code Multiple Access (SCMA) is an efficient multiple access method that can significantly enhance spectrum utilization and user capacity. In this paper, a SCMA system is employed for the uplink scenario of satellite Internet of Things (IoT) to improve the access capability of IoT devices and meet the access requirements of future large-scale satellite IoT terminal devices. However, due to its multi-carrier nature, SCMA inherits high peak-to-average power ratio (PAPR), which poses a challenge for power amplifiers in the uplink communication scenario of satellite IoT. Therefore, we propose a low PAPR SCMA system for satellite IoT uplink communication and introduce a Linear Frequency Modulation (LFM)- assisted approach to reduce PAPR. Specifically, we compress the amplitude of points with high peak values in the time domain signal before launching the SCMA system and transmit their sequence numbers in parallel through LFM signals. At the receiver end, we recover amplitudes according to received sequence numbers using matched filters. The proposed system achieves effective PAPR reduction without significantly increasing the algorithm complexity and maintaining the BER performance.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haojun Zhao, Jing Zhang, Junfeng Cheng, Yue Zhan, and Zhou Lu "LFM-assisted PAPR reduction scheme for satellite Internet of Things sparse code multiple access systems", Proc. SPIE 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 133981N (18 November 2024); https://doi.org/10.1117/12.3049693
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KEYWORDS
Internet of things

Satellites

Telecommunications

Signal detection

Design

Signal to noise ratio

Data transmission

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