| 講演抄録／キーワード |
| 講演名 |
2018-10-30 10:30
［ポスター講演］Probability of False Alarm based Interference Suppression Methods in IoT Environment
○Natthanan Promsuk・Attaphongse Taparugssanagorn（AIT）・Johanna Vartiainen（CWC, University of Oulu） |
| 抄録 |
（和） |
Interference suppression methods are studied for Internet of Things (IoT) networks. The performances on each interference suppression method are to be examined. For the overall system of interest, we assume that channel state information is completely estimated at the access point and IoT devices at last 100 meter is considered. There is no direct communications between a pair of IoT devices. The communication channel is affected by Additive white Gaussian Noise (AWGN), the large scale fading, i.e., the path loss and the small scale fading, i.e., Rayleigh multipath fading. The frequency selective fading channel is also studied. For this study, the Interference Suppression Techniques (IST) are used to improve the communication performance in terms of Bit Error Rate (BER), reducing the impact of interference among IoT signals. Moreover, we also apply the studied interference suppression methods for a multipath Rayleigh fading channel. MATLAB numerical simulations results are compared among different suppression techniques. Moreover, we also compare BER and Interference to Signal Ratio (ISR), BER and Signal to Noise Ratio (SNR) in each method. The significant part of the study is to calculate the interference decision threshold by many methods, such as the probability of false alarm based on the Neyman-Pearson (NP) criterion, the Consecutive Mean Excision (CME) algorithm, the Forward CME (FCME) algorithm, and the Localization Algorithm based on Double-thresholding. |
| （英） |
Interference suppression methods are studied for Internet of Things (IoT) networks. The performances on each interference suppression method are to be examined. For the overall system of interest, we assume that channel state information is completely estimated at the access point and IoT devices at last 100 meter is considered. There is no direct communications between a pair of IoT devices. The communication channel is affected by Additive white Gaussian Noise (AWGN), the large scale fading, i.e., the path loss and the small scale fading, i.e., Rayleigh multipath fading. The frequency selective fading channel is also studied. For this study, the Interference Suppression Techniques (IST) are used to improve the communication performance in terms of Bit Error Rate (BER), reducing the impact of interference among IoT signals. Moreover, we also apply the studied interference suppression methods for a multipath Rayleigh fading channel. MATLAB numerical simulations results are compared among different suppression techniques. Moreover, we also compare BER and Interference to Signal Ratio (ISR), BER and Signal to Noise Ratio (SNR) in each method. The significant part of the study is to calculate the interference decision threshold by many methods, such as the probability of false alarm based on the Neyman-Pearson (NP) criterion, the Consecutive Mean Excision (CME) algorithm, the Forward CME (FCME) algorithm, and the Localization Algorithm based on Double-thresholding. |
| キーワード |
（和） |
Interference suppression methods / Co-existing problem / Neyman-Pearson criterion / Probability of false alarm / Internet of everything (IoE) / / / |
| （英） |
Interference suppression methods / Co-existing problem / Neyman-Pearson criterion / Probability of false alarm / Internet of everything (IoE) / / / |
| 文献情報 |
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