Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs

The Internet of Things (IoTs) will change the requirements for wireless connectivity significantly, mainly with regard to service coverage, data rate, and energy efficiency. Therefore, to improve robustness and reliability, WiFi-enabled IoT devices have been developed to use narrowband communication...

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Main Author: Il-Gu Lee
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/9/3/46
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spelling doaj-2824c39a5f6a4c38af7baee658cb5ad52020-11-24T21:27:51ZengMDPI AGFuture Internet1999-59032017-08-01934610.3390/fi9030046fi9030046Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTsIl-Gu Lee0Department of Convergence Security Engineering, Sungshin University, Seoul 02844, KoreaThe Internet of Things (IoTs) will change the requirements for wireless connectivity significantly, mainly with regard to service coverage, data rate, and energy efficiency. Therefore, to improve robustness and reliability, WiFi-enabled IoT devices have been developed to use narrowband communication. However, narrowband transmission in WiFi such as IEEE 802.11ah causes relatively higher frequency error due to the reduced subcarrier space, which is larger than legacy wireless local area networks (WLANs) in 2.4/5 GHz frequencies. In a direct conversion receiver, this error degrades the signal quality due to the presence of direct current (DC) offset cancellation circuits. In this paper, a digital carrier frequency offset (CFO) predistortion scheme is proposed for a reliable communication link in dense networks. Evaluation results demonstrate that the proposed scheme can improve received signal quality in terms of packet error rate and error vector magnitude.https://www.mdpi.com/1999-5903/9/3/46digital predistortioncarrier frequency offsetDC cancellerWLANnarrowband Internet of Things
collection DOAJ
language English
format Article
sources DOAJ
author Il-Gu Lee
spellingShingle Il-Gu Lee
Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
Future Internet
digital predistortion
carrier frequency offset
DC canceller
WLAN
narrowband Internet of Things
author_facet Il-Gu Lee
author_sort Il-Gu Lee
title Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
title_short Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
title_full Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
title_fullStr Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
title_full_unstemmed Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
title_sort digital pre-distortion of carrier frequency offset for reliable wi-fi enabled iots
publisher MDPI AG
series Future Internet
issn 1999-5903
publishDate 2017-08-01
description The Internet of Things (IoTs) will change the requirements for wireless connectivity significantly, mainly with regard to service coverage, data rate, and energy efficiency. Therefore, to improve robustness and reliability, WiFi-enabled IoT devices have been developed to use narrowband communication. However, narrowband transmission in WiFi such as IEEE 802.11ah causes relatively higher frequency error due to the reduced subcarrier space, which is larger than legacy wireless local area networks (WLANs) in 2.4/5 GHz frequencies. In a direct conversion receiver, this error degrades the signal quality due to the presence of direct current (DC) offset cancellation circuits. In this paper, a digital carrier frequency offset (CFO) predistortion scheme is proposed for a reliable communication link in dense networks. Evaluation results demonstrate that the proposed scheme can improve received signal quality in terms of packet error rate and error vector magnitude.
topic digital predistortion
carrier frequency offset
DC canceller
WLAN
narrowband Internet of Things
url https://www.mdpi.com/1999-5903/9/3/46
work_keys_str_mv AT ilgulee digitalpredistortionofcarrierfrequencyoffsetforreliablewifienablediots
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