Wireless powered UAV relay communications over fluctuating two-ray fading channels

Zheng, Jiakang; Zhang, Jiayi; Chen, ShuaiFei; Zhao, Hui; Ai, Bo

doi:10.1016/j.phycom.2019.100724

Cited by 33 publications

(28 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While much 5G focus has gravitated towards the 60 GHz band, 5G cellular services will be delivered across a number of bands [130], [131]. The fluctuating two-ray (FTR) fading channels [132], [133] were reported to provide a much better fit than other fading models for small-scale fading measurements in millimeter wave communications [134], [135]. The multiple antenna communication and higher frequency application trends will challenge development of radio-frequency components and thus the UAV channel modeling or performance evaluation under various scenarios [136], [137].…”

Section: A Antennas For Uav Channel Measurementmentioning

confidence: 99%

A Comprehensive Survey on UAV Communication Channel Modeling

Yan¹,

Fu²,

et al. 2019

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) have stroke great interested both by the academic community and the industrial community due to their diverse military applications and civilian applications. Furthermore, UAVs are also envisioned to be part of future airspace traffic. The application functions delivery relies on information exchange among UAVs as well as between UAVs and ground stations (GSs), which further closely depends on aeronautical channels. However, there is a paucity of comprehensive surveys on aeronautical channel modeling in line with the specific aeronautical characteristics and scenarios. To fill this gap, this paper focuses on reviewing the air-to-ground (A2G), ground-to-ground (G2G), and air-toair (A2A) channel measurements and modeling for UAV communications and aeronautical communications under various scenarios. We also provide the design guideline for managing the link budget of UAV communications taking account of link losses and channel fading effects. Moreover, we also analyze the receive/transmit diversity gain and spatial multiplexing gain achieved by multiple-antenna-aided UAV communications. Finally, we discuss the remaining challenge and open issues for the future development of UAV communication channel modeling.

show abstract

Section: A Antennas For Uav Channel Measurementmentioning

confidence: 99%

A Comprehensive Survey on UAV Communication Channel Modeling

Yan¹,

Fu²,

et al. 2019

View full text Add to dashboard Cite

show abstract

“…location of the third UAV in 3-UAV scheme (150,0,20)m In the multi-UAV relay schemes, the parameters of the system model are shown in Table.1. According to [26], (17) can be accurately calculated by the law of definite integration when BPSK is adopted. Whereas when the modulation order of PSK rises, we generally use approximate formula of (17) to obtain the expression of SER, which is presented in (21).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…However, power splitting ratio in this paper adopts only a few discrete samples, making these strategies not universal enough to meet the need of the continuously changing trajectories of the source. In [26], the author analyzes the SER performance of the UAV relaying system with energy harvesting under the two-path fluctuating channels, but this article obtains better SER performance by changing the power allocation factor, rather than establishing a SER optimization goal and solving the problem to get the corresponding optimal power allocation strategy. Authors in [27] analyze a novel relaying scheme named as incremental hybrid decode-amplify-forward relaying (IHDAF), in which they have derived the closed-form expressions of BER and discussed its optimal performance when distance between each end changes, the power allocation factor changes in the meanwhile.…”

Section: Introduction a Motivation And Related Workmentioning

confidence: 99%

UAV-Assisted Relaying Transmission Design and Optimization for High-Speed Moving Sources

2020

IEEE Access

View full text Add to dashboard Cite

In state of the art relay-assisted transmission schemes, analysis of symbol error ratio (SER) and throughput mainly focuses on static or low-speed sources, where relay strategies and power allocation strategies are studied. However, when the sources move quickly with variable trajectories, the power allocation strategy of relays is affected by the sources' movement and time-varying channels, and should be adjusted dynamically according to the sources' trajectories with corresponding motion scenarios. Therefore, previous schemes are no longer applicable to solve the problem brought by high-speed sources because their channels and power allocation strategies are lack of correlation with the sources' movement. In this paper, taking full advantage of the flexibility of unmanned aerial vehicle (UAV) combined with multi-antenna technology, we propose two UAV-assisted relaying transmission schemes to serve high-speed moving sources. Through derivation and optimization of system's symbol error ratio (SER), new dynamic power allocation and adjustment strategies of the source and each UAV are obtained when the total power of the system is limited. Moreover, the proposed schemes utilize time-based power allocation lists to save signaling overhead. Simulation results demonstrate that our schemes outperform the compared schemes. INDEX TERMS moving sources, UAV relays, dynamic power allocation.

show abstract

“…relaying. Subsequently, several recent works including [2]- [12] focus on the application of relays for mmWave communication, out of which [3], [8], [9], [11] explicitly consider AF relaying.…”

Section: A Review Of Previous Workmentioning

confidence: 99%

Amplify-and-Forward Relaying With Maximal Ratio Combining Over Fluctuating Two-Ray Channel: Non-Asymptotic and Asymptotic Performance Analysis

Hashemi

Haghighat

Eslami

et al. 2020

IEEE Trans. Commun.

View full text Add to dashboard Cite

Fluctuating two-ray (FTR) channel model was shown to effectively characterize millimeter wave (mmWave) communication channels. In this paper, we adopt FTR to investigate amplify-and-Forward (AF) mmWave relaying system. Two communications scenarios are considered corresponding to the presence and absence of a direct link between the transmitter and receiver. Outage probability and symbol error rate (SER) are then analytically obtained as performance metrics. The results are further compared with the corresponding metrics obtained based on conventional channel models including Nakagamim and two-wave with diffuse power (TWDP). Especially, for the high-SNR regime, our analyses indicate that performance evaluations based on the conventional models significantly deviate from that of based on the FTR model. Our results provide quantitative insights on the importance of model selection in design and performance evaluations of relay-based mmWave systems. Moreover, for the high-SNR regime, we carry out asymptotic analysis and obtain a low-complexity expression for the achieved AF relaying gain. Such an expression provides a quantitative measure on whether or not AF relaying outperforms no-relaying in a given setting. Extensive numerical and simulation results are provided to confirm the accuracy of the analysis and investigate system performance in different settings.

show abstract

Wireless powered UAV relay communications over fluctuating two-ray fading channels

Cited by 33 publications

References 31 publications

A Comprehensive Survey on UAV Communication Channel Modeling

A Comprehensive Survey on UAV Communication Channel Modeling

UAV-Assisted Relaying Transmission Design and Optimization for High-Speed Moving Sources

Amplify-and-Forward Relaying With Maximal Ratio Combining Over Fluctuating Two-Ray Channel: Non-Asymptotic and Asymptotic Performance Analysis

Contact Info

Product

Resources

About