UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application

Abstract

Unmanned aerial vehicle (UAV)-based communication system design has already attracted substantial interest due to UAV flexibility in deployment, cost effectiveness, and in-built line-of-sight air-toground channels. However, there is a persistent issue of security threats associated with the broadcast nature of UAV: physical layer security (PLS) can be introduced to enhance the secrecy performance in that regard.In the system proposed here, the combined effect of 3D fractional-order Liu chaotic system and 3D fractionalorder Li chaotic system is introduced to enhance the PLS of the UAV-to-ground communication network. In addition, to reduce multi-user interference (MUI), efficient orthogonal variable spreading factor (OVSF) codes are integrated with a zero forcing (ZF) scheme. Moreover, to improve bit error rate (BER), a combined MUI signal discrimination and ZF signal detection scheme is introduced, strengthened by various channel coding techniques with multi-user beamforming weighting. The numerical outcomes establish the efficacy of the proposed system in terms of PLS and improvement of data rate with signal-to-interference-plus-noise ratio. This approach achieved an out-of-band emission reduction of 119 dB. Furthermore, an improved BER of 1 × 10 −4 is achieved in 16-QAM for a signal-to-noise ratio of 6 dB.INDEX TERMS Millimeter-wave, orthogonal frequency-division multiplexing, orthogonal variable spreading factor, overlap-windowed discrete Fourier transform, physical layer security, unmanned aerial vehicle, zero forcing precoding.

Low Altitude Satellite Constellation for Futuristic Aerial-Ground Communications

“…Application areas such as traffic surveillance, agricultural monitoring, border patrolling, and disaster management may exploit the integration of UAVs with CR [82]. The benefit is that UAV may reduce the high path-loss and blockage-prone issues experienced by mmWave by establishing LoS connections between mobile users and the nearest BS [83]. Not only may UAVs enhance coverage and transmission rates, but their superior signal and data processing capabilities also allow real-time decision making for various monitoring objectives [82].…”

Orthogonal variable spreading factor encoded unmanned aerial vehicle‐assisted nonorthogonal multiple access system with hybrid physical layer security

“…The complexity analysis of the proposed system is inspired by [27], which investigated the computational complexity by calculating the total number of complex multiplications during transmission and reception.…”

“…The complexity analysis of the proposed system is inspired by [27], which investigated the computational complexity by calculating the total number of complex multiplications during transmission and reception. To obtain the HPLS‐encrypted signal, , where denotes the interval length of DFT, and denotes the number of columns attained from the application of MP‐WFRFT. To obtain an OVSF‐encoded signal, , where , and SF denotes the spreading factor of OVSF codes. To obtain the spatial multiplexing encoded signal, , where denotes the number of UAV base‐transmitting antennas, and denotes the number of time samples of each of the transmitting channel. …”

Multiple CUAV-Enabled mMTC and URLLC Services: Review of Energy Efficiency and Latency Performance

“…In addition, we briefly discussed the gNB antenna gain based on the 3GPP model. In [5,24], the average path-loss model was calculated as follows…”