Abstract

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.

Highlights

  • In recent years, wireless throughput is growing up exponentially [1,2,3] and wireless communication network is facing more and more challenges introduced by wireless big data [4,5,6,7]

  • The effects of the system parameters, such as the number of cached/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

  • We can see that there is an error floor introduced by the hardware impairments and imperfect channel estimation

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Summary

Introduction

Wireless throughput is growing up exponentially [1,2,3] and wireless communication network is facing more and more challenges introduced by wireless big data [4,5,6,7]. Considering amplify-and-forward (AF) relaying networks, the authors in [16] investigated the effects of hardware impairments on channel capacity by exact closed-form expression as well as the tight bounds, while Ref. The effects of the system parameters, such as the number of cached/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. (i) Cache-enabled UAV relaying protocol is adopted to improve the QoS of the wireless links, where the UAV nodes work as a cache enable access point or an AF relaying node (ii) We provide the deep insight on the effects of the system parameters, such as the number of cached/relaying nodes, the hardware impairment factor, the channel estimation error, and the transmission SNR, on the outage probability by deriving the exact closed-form expressions on outage probability.

System Model
Selection Algorithm and Performance Analysis
Asymptotical Analysis
Simulation Results
Conclusions
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