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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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2020/8891793 |
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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 |
work_keys_str_mv |
AT dandeng impactofhardwareimpairmentswithimperfectchannelestimationforcacheenableduavrelayingnetworks AT yanyirao impactofhardwareimpairmentswithimperfectchannelestimationforcacheenableduavrelayingnetworks AT fushengzhu impactofhardwareimpairmentswithimperfectchannelestimationforcacheenableduavrelayingnetworks |
_version_ |
1715139838330535936 |