PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEMS FOR IOT USING TIME-FREQUENCY ALOHA SCHEME

2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2018-11-01 DOI:10.1109/GLOBALSIP.2018.8646372

Sylvain Cluzel, M. Dervin, J. Radzik, Sonia Cazalens, C. Baudoin, D. Dragomirescu

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引用次数: 5

Abstract

One of the main issues in using a Low Earth Orbit (LEO) satellite constellation to extend a Low-Powered Wide Area Network is the frequency synchronization. Using a link based on random access solves this concern, but also prevents delivery guarantees, and implies less predictable performance. This paper concerns the estimation of Bit Error Rate (BER) and Packet Error Rate (PER) using physical layer abstractions under a time and frequency random scheme, namely Time and Frequency Aloha. We first derive a BER calculation for noncoded QPSK transmission with one collision. Then, we use the 3GPP LTE NB-IoT coding scheme. We analyze the interference that could be induced by repetition coding scheme and propose an efficient summation to improve the decoder performance. Finally, to estimate a PER for any collided scenario, we propose a physical layer abstraction, which relies on an equivalent Signal-to-Noise Ratio (SNR) calculation based on Mutual Information.

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基于时频aloha方案的物联网Leo卫星系统性能评估物理层抽象

利用低地球轨道(LEO)卫星星座扩展低功率广域网的主要问题之一是频率同步。使用基于随机访问的链接解决了这个问题，但也阻止了交付保证，并且意味着更不可预测的性能。本文研究了在时间和频率随机方案(time and frequency Aloha)下，利用物理层抽象来估计误码率(BER)和包错误率(PER)。我们首先推导了具有一次碰撞的非编码QPSK传输的误码率计算。然后，我们使用3GPP LTE NB-IoT编码方案。我们分析了重复编码方案可能引起的干扰，并提出了一种有效的求和方法来提高解码器的性能。最后，为了估计任何碰撞场景的PER，我们提出了一种物理层抽象，它依赖于基于互信息的等效信噪比(SNR)计算。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

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