Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks

The effects of hardware impairments with imperfect channel estimation for cache-enabled UAV networks are studied in this paper. The effects of the setup parameters, such as the number of cached or relaying nodes, the hardware impairment factor, the channel estimation error, and the transmission SNR,...

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Main Authors: Dan Deng, Yanyi Rao, Fusheng Zhu
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2020/8891793
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spelling doaj-5c03a46f72854853ab2beb47bb0666a32020-11-25T03:42:23ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88917938891793Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying NetworksDan Deng0Yanyi Rao1Fusheng Zhu2School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou 511483, ChinaSchool of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 510006, ChinaGuangdong New Generation Communication and Network Innovative Institute (GDCNi), Guangzhou, ChinaThe effects of hardware impairments with imperfect channel estimation for cache-enabled UAV networks are studied in this paper. The effects of the setup parameters, such as the number of cached or relaying nodes, the hardware impairment factor, the channel estimation error, and the transmission SNR, on the outage probability are present by deriving the exact closed-form expressions on outage probability. Also, the asymptotic results are present when the transmission SNR is large enough. From the asymptotic analysis, we can see that there is an error floor introduced by the hardware impairments and imperfect channel estimation. Specifically, the error floor is dependent on the channel estimation error factor, the hardware impairment distortion factor, and the QoS requirements. And the diversity order of the error floor for the cached/relaying links is equal to the number of cached/relaying UAV nodes.http://dx.doi.org/10.1155/2020/8891793
collection DOAJ
language English
format Article
sources DOAJ
author Dan Deng
Yanyi Rao
Fusheng Zhu
spellingShingle Dan Deng
Yanyi Rao
Fusheng Zhu
Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks
Wireless Communications and Mobile Computing
author_facet Dan Deng
Yanyi Rao
Fusheng Zhu
author_sort Dan Deng
title Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks
title_short Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks
title_full Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks
title_fullStr Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks
title_full_unstemmed Impact of Hardware Impairments with Imperfect Channel Estimation for Cache-Enabled UAV Relaying Networks
title_sort impact of hardware impairments with imperfect channel estimation for cache-enabled uav relaying networks
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2020-01-01
description The effects of hardware impairments with imperfect channel estimation for cache-enabled UAV networks are studied in this paper. The effects of the setup parameters, such as the number of cached or relaying nodes, the hardware impairment factor, the channel estimation error, and the transmission SNR, on the outage probability are present by deriving the exact closed-form expressions on outage probability. Also, the asymptotic results are present when the transmission SNR is large enough. From the asymptotic analysis, we can see that there is an error floor introduced by the hardware impairments and imperfect channel estimation. Specifically, the error floor is dependent on the channel estimation error factor, the hardware impairment distortion factor, and the QoS requirements. And the diversity order of the error floor for the cached/relaying links is equal to the number of cached/relaying UAV nodes.
url http://dx.doi.org/10.1155/2020/8891793
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AT yanyirao impactofhardwareimpairmentswithimperfectchannelestimationforcacheenableduavrelayingnetworks
AT fushengzhu impactofhardwareimpairmentswithimperfectchannelestimationforcacheenableduavrelayingnetworks
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