LAP and IRS Enhanced Secure Transmissions for 6G-Oriented Vehicular IoT Services
Abstract
:1. Introduction
2. Network Model and Problem Formulation
3. Total Secure Channel Capacity Maximization Scheme
3.1. Phase Shift Optimization
3.2. Power Distribution Coefficient Optimization
3.3. Channel Allocation
Algorithm 1 Optimal channel allocation algorithm for P6 |
|
3.4. Overall Algorithmic Framework
4. Performance Evaluation
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Reference | Key Contributions | Limitation |
---|---|---|
[14] | The channel gain lower bound for LAP and IRS collaborative communications was derived. | These works make an implicit assumption that LAP-based IRS symbiotic vehicular networks (VNets) are secure. In LAP-based IRS symbiotic VNets, the privacy information is susceptible to eavesdropping due to the open nature of A2G channels. |
[15] | The sum rate maximization problem of LAP-aided IRS networks was investigated, where the phase shift and LAP altitude were optimized. | |
[16] | The IRS-assisted multi-layer aerial architecture was proposed. | |
[17,18,19,20] | By considering the beamforming, resource allocation, and energy efficiency, the channel capacity was improved. |
Parameter | Definition |
---|---|
U | Number of legitimate vehicle users |
G | Number of reflection elements |
N | Number of antennas |
K | Number of channels |
Total power | |
Transmitted power of the RBS | |
Transmitted power of AN | |
Received signal of the u-th legitimate vehicle user | |
Channel from IRS to the u-th legitimate vehicle user | |
Phase shift matrix | |
Channel from the RBS to IRS | |
Transmitted signal from the RBS for the u-th legitimate vehicle user | |
Channel from IRS to the eavesdropper | |
AN signal emitted by the u-th legitimate vehicle user | |
Channel from the u-th legitimate vehicle user to the eavesdropper | |
Noise received by the eavesdropper | |
Information rate of the u-th legitimate vehicle user | |
Channel bandwidth of the u-th legitimate vehicle user | |
Information rate of the eavesdropper | |
Power distribution coefficient of the u-th legitimate vehicle user | |
Secure channel capacity of the u-th legitimate vehicle user | |
Total secure channel capacity | |
Total power of the system |
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Min, L.; Li, J.; He, Y.; Si, Q. LAP and IRS Enhanced Secure Transmissions for 6G-Oriented Vehicular IoT Services. Drones 2023, 7, 414. https://doi.org/10.3390/drones7070414
Min L, Li J, He Y, Si Q. LAP and IRS Enhanced Secure Transmissions for 6G-Oriented Vehicular IoT Services. Drones. 2023; 7(7):414. https://doi.org/10.3390/drones7070414
Chicago/Turabian StyleMin, Lingtong, Jiawei Li, Yixin He, and Qin Si. 2023. "LAP and IRS Enhanced Secure Transmissions for 6G-Oriented Vehicular IoT Services" Drones 7, no. 7: 414. https://doi.org/10.3390/drones7070414