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

被引：3

作者：

Deng, Dan ^{[1
]}

Rao, Yanyi ^{[2
]}

Zhu, Fusheng ^{[3
]}

机构：

[1] Guangzhou Panyu Polytech, Sch Informat Engn, Guangzhou 511483, Guangdong, Peoples R China

[2] Guangzhou Univ, Sch Comp Sci & Cyber Engn, Guangzhou 510006, Guangdong, Peoples R China

[3] Guangdong New Generat Commun & Network Innovat In, Guangzhou, Guangdong, Peoples R China

来源：

WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2020年 / 2020卷

关键词：

MASSIVE MIMO SYSTEMS; ERGODIC CAPACITY; ALLOCATION; COMMUNICATION; INFORMATION; PREDICTION; ALGORITHM; SELECTION; DESIGN;

D O I：

10.1155/2020/8891793

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：12

共 44 条

[1] A Closed-Form Approximation of Correlated Multiuser MIMO Ergodic Capacity With Antenna Selection and Imperfect Channel Estimation [J].

Al-Hussaibi, Walid A. ;

Ali, Falah H. .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (06) :5515-5519

[2] Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits [J].

Bjornson, Emil ;

Hoydis, Jakob ;

Kountouris, Marios ;

Debbah, Merouane .

IEEE TRANSACTIONS ON INFORMATION THEORY, 2014, 60 (11) :7112-7139

[3] Channel Estimation in Massive MIMO Under Hardware Non-Linearities: Bayesian Methods Versus Deep Learning [J].

Demir, Ozlem Tugfe ;

Bjornson, Emil .

IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2020, 1 :109-124

[4] Link Selection in Buffer-Aided Cooperative Networks for Green IoT [J].

Deng, Dan ;

Xia, Junjuan ;

Fan, Liseng ;

Li, Xingwang .

IEEE ACCESS, 2020, 8 :30763-30771

[5] Cache-Enabled Cooperative Edge Networks for Intelligent Connected Vehicles [J].

Deng, Dan ;

Xia, Junjuan .

IEEE ACCESS, 2019, 7 :166939-166949

[6] Secure communications in multiple amplify-and-forward relay networks with outdated channel state information [J].

Deng, Dan ;

Fan, Lisheng ;

Zhao, Rui ;

Hu, Rose Qingyang .

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2016, 27 (04) :494-503

[7] Massive MIMO for Distributed Detection With Transceiver Impairments [J].

Ding, Guoru ;

Gao, Xiqi ;

Xue, Zhen ;

Wu, Yongpeng ;

Shi, Qingjiang .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (01) :604-617

[8] Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales [J].

Fan, Chengliang ;

Ding, Yunfei ;

Liao, Yundan .

SUSTAINABLE CITIES AND SOCIETY, 2019, 51

[9] Cooling load prediction and optimal operation of HVAC systems using a multiple nonlinear regression model [J].

Fan, Chengliang ;

Ding, Yunfei .

ENERGY AND BUILDINGS, 2019, 197 :7-17

[10] Robust Resource Allocation With Imperfect Channel Estimation in NOMA-Based Heterogeneous Vehicular Networks [J].

Guo, Shengjie ;

Zhou, Xiangwei .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (03) :2321-2332

← 1 2 3 4 5 →