Enhanced signalling provisioning for UAV‐enabled MEC: A GWFRFT‐based energy‐spreading transmission approach. Issue 15 (1st September 2020)

• Record Type: Journal Article
• Authors: Li, Chengfang; Fang, Xiaojie; Zhou, Xiaokang; Mei, Lin; Sha, Xuejun
• Is Part Of: IET communications. Volume 14:Issue 15(2020)
• Page Start: 2524
• Page End: 2531
• Publication Date: 2020-09-01
• Subjects: quality of service -- Rician channels -- aircraft communication -- Fourier transforms -- multipath channels -- error statistics -- autonomous aerial vehicles -- mobile computing -- telecommunication network routing -- telecommunication signalling -- telecommunication power management; enhanced signalling -- UAV‐enabled MEC -- unmanned aerial vehicles‐enabled mobile edge computing -- quality of service -- communication signal energy -- UAV communications -- signalling provisioning mechanism -- GWFRFT‐EST scheme -- GWFRFT‐based energy‐spreading transmission -- generalised weighted‐type fractional Fourier transform -- signal energy‐spreading transmission scheme -- low Rician K‐factor -- bit error rate performance; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.1219
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : With the high mobility, flexibility and manoeuvrability, unmanned aerial vehicles (UAVs)‐enabled mobile edge computing (MEC) plays an important role in many applications that lack of available terrestrial infrastructures, such as disaster response, emergency relief and military scenarios. However, the high mobility of UAVs may severely degrade the implementation of UAV‐enabled MEC in computation‐intensive or delay‐sensitive scenarios from a physical layer signalling perspective, e.g. frequency selective fading effect caused by the low altitude and low elevation angle routes of UAVs. In this study, a generalised weighted‐type fractional Fourier transform (GWFRFT) based signal energy‐spreading transmission (EST) scheme is proposed for signalling and quality of service (QoS) provisioning for UAV‐enabled MEC. In the proposed scheme, the communication signal energy is redistributed evenly at the time‐frequency plane to enhance the robustness of UAV communications against the severe fading channels. The signalling provisioning mechanism of the GWFRFT‐EST scheme is analysed and simulated under poor air‐to‐ground channels with low Rician K ‐factor. Simulation results show that the proposed method greatly improves the bit error rate performance with a negligible computational complexity increase.