G. Kobayashi, O. Takyu, K. Adachi, M. Ohta, T. Fujii
{"title":"Proposal of interference power occupancy estimation method using chirp demodulation","authors":"G. Kobayashi, O. Takyu, K. Adachi, M. Ohta, T. Fujii","doi":"10.1109/ICUFN49451.2021.9528528","DOIUrl":null,"url":null,"abstract":"In recent years, Low Power Wide Area (LPWA) has been attracting attention as being suitable for utilizing the Internet of Things (IoT). In Japan, LPWA has been standardized as a specific low power radio that uses the 920MHz band, and is a communication standard that enables long-distance communication with low power consumption. In the specific low power radio of the 920MHz band, since multiple radio standards share the same frequency, communication interruption due to the same frequency interference Co-Channel Interference (CCI) becomes a serious problem. Long Range (LoRa), which is one of LPWA, uses chirp modulation (spread spectrum technology) to suppress CCI. This modulation method is resistant to CCI because it expands the desired signal power after demodulation by wideband gain. However, when operating LoRa, it is necessary to determine the necessity of frequency sharing suitable for Signal to Interference Ratio (SIR) in consideration of interference from other systems, and to set the required diffusion rate. The authors have proposed a method for estimating desired signal power and interference power using chirp demodulation. In this paper, we have established a method for estimating the occupancy rate, which is the access ratio of other systems, with high accuracy from the probability distribution of interference power and noise power.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN49451.2021.9528528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In recent years, Low Power Wide Area (LPWA) has been attracting attention as being suitable for utilizing the Internet of Things (IoT). In Japan, LPWA has been standardized as a specific low power radio that uses the 920MHz band, and is a communication standard that enables long-distance communication with low power consumption. In the specific low power radio of the 920MHz band, since multiple radio standards share the same frequency, communication interruption due to the same frequency interference Co-Channel Interference (CCI) becomes a serious problem. Long Range (LoRa), which is one of LPWA, uses chirp modulation (spread spectrum technology) to suppress CCI. This modulation method is resistant to CCI because it expands the desired signal power after demodulation by wideband gain. However, when operating LoRa, it is necessary to determine the necessity of frequency sharing suitable for Signal to Interference Ratio (SIR) in consideration of interference from other systems, and to set the required diffusion rate. The authors have proposed a method for estimating desired signal power and interference power using chirp demodulation. In this paper, we have established a method for estimating the occupancy rate, which is the access ratio of other systems, with high accuracy from the probability distribution of interference power and noise power.
近年来,低功率广域(LPWA)因适合利用物联网(IoT)而备受关注。在日本,LPWA已经被标准化为使用920MHz频段的特定低功率无线电,是一种能够以低功耗进行远距离通信的通信标准。在920MHz频段的特定低功率无线电中,由于多个无线电标准共用同一频率,因此由于同频干扰导致的通信中断成为一个严重的问题。远程(LoRa)是LPWA的一种,它采用啁啾调制(扩频技术)来抑制CCI。这种调制方法可以抵抗CCI,因为它通过宽带增益解调后扩大了所需的信号功率。但是,在操作LoRa时,需要考虑到其他系统的干扰,确定是否需要适合SIR (Signal to Interference Ratio,信号干扰比)的频率共享,并设定所需的扩散速率。提出了一种利用啁啾解调估计期望信号功率和干扰功率的方法。本文从干扰功率和噪声功率的概率分布出发,建立了一种高精度估计占用率(即其他系统的接入比)的方法。