The International Arab Journal of Information Technology (IAJIT)


Secrecy Capacity Analysis of Reconfigurable Intelligent Surface Based Vehicular Networks

As Vehicular Networks based technologies are in the close proximity of deployment for various wireless applications under proposal worldwide, this research paper proposes secrecy capacity analysis for Reconfigurable Intelligent Surface (RIS) based Vehicular Network. The proposed network model has a fixed infrastructure comprising of source node, destination node incorporated with single antenna and passive eavesdropper forming the scenario. RIS based Vehicular communication links are modelled by Rayleigh fading for source-to RIS link and RIS to destination Vehicle, whereas Eavesdropper channel links are Double-Rayleigh amplitude distribution, induced by double scattering in the channel. For this scenario, we derive the closed-form expressions for the average Secrecy Capacity and Secrecy Outage Probability (SOP) of the considered system. Though, Secrecy Capacity analysis is an excellent performance metric for assessing eavesdropper based system, it has been reported by various research works, this research paper differentiates from other research papers by considering different secrecy rates and different distances of eavesdropper as presented in simulation. Further, to validate the obtained simulation results, theoretical results are also derived for assessing performance of SOP for various secrecy rates which is the highlight of this research paper and it can be used as benchmark for various research works to proceed further.

[1] Alghorani Y., Kaddoum G., Muhaidat S., Pierre S., and Al-Dhahir N., “On the Performance of Multihop-Intervehicular Communications Systems Over n∗ Rayleigh Fading Channels,” IEEE Wireless Communication Letters, vol. 5, no. 2, pp. 116-119, 2016.

[2] Al-Hmood H. and Al-Raweshidy H., “Performance Analysis of Physical Layer Security over Fluctuating Beckmann Fading Channels,” IEEE Access, vol. 7, pp. 119541- 119556, 2019.

[3] Basar E., Di Renzo M., De Rosny J., Debbah M., Alouini M., and Zhang R., “Wireless Communications through Reconfigurable Intelligent Surfaces,” IEEE Access, vol. 7, pp. 116753-116773, 2019.

[4] Chen J., Liang Y., Pei Y., and Guo H., “Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security,” IEEE Access, vol. 7, pp. 82599-82612, 2019.

[5] Dheepan K., “Security Enhancement and Certificate Revocation in MANET Using Position and Energy Based Monitoring,” The International Arab Journal of Information Technology, vol. 16, no. 1, pp. 88-97, 2019.

[6] Elmossallamy M., Zhang H., Song L., Seddik K., Han Z., and Li G., “Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities,” IEEE Transactions on Cognitive Communications and 2.0EVy 2EVy 5.0RISx 5.0EVx 02468101214161820 10 -1 0 10 -8 10 -6 10-4 10 -2 100 Transmitted Pow er Ps in dB Secrecy Outage Probability rEV=0.5, Rs=0.5 Simulation rEV=0.5, Rs=0.5 Theoritic al rEV=0.5, Rs=0.2 Simulation rEV=0.5, Rs=0.2 Theoritic al rEV=1, Rs=0.5 Simulation rEV=1, Rs=0.5 Theoritic al rEV=1, Rs=0.2 Simulation rEV=1, Rs=0.2 Theoritic al Rs=0.2 bps / Hz Rs=0.5 bps / Hz 10 -4 10 -3 10 -2 10 -1 10 0 yRE distanc e bw EV and RIS SOP lamda 1=2, lamda 2=2 Analytic al lamda 1=2, lamda 2=2 Simulation lamda 1=4, lamda 2=8 Analytic al lamda 1=4, lamda 2=8 Simulationl lamda 1=5, lamda 2=5 Analytic al lamda 1=5, lamda 2=5 Simulation Secrecy Capacity Analysis of Reconfigurable Intelligent Surface Based ... 341 Networking, vol. 6, no. 3, pp. 990-1002, 2020.

[7] Jerrey A. and Zwillinger D., Table of Integrals, Series, and Products, Seventh Edition, Elsevier, 2007.

[8] Karas D., Boulogeorgos A., and Karagiannidis G., “Physical Layer Security with Uncertainty on the Location of the Eavesdropper,” I IEEE Wireless Communications Letters, vol. 5, no. 5, pp. 540- 543, 2016.

[9] Kobayashi M and Debbah M., “On The Secrecy Capacity of Frequency-Selective Fading Channels : A practical vandermonde precoding,” in Proceedings of IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, Cannes, pp. 1-5, 2008.

[10] Kong L., He J., Ai Y., Chatzinotas S., and Ottersten B., “Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks,” in Proceedings of IEEE International Conference on Communications Workshops, Montreal, pp. 1-6, 2021.

[11] Makarfi A., Rabie K., Kaiwartya O., Adhikari K., Li X., Quiroz-Castellanos M., and Kharel P., “Reconfigurable Intelligent Surfaces-Enabled Vehicular Networks: A Physical Layer Security Perspective,” arXiv preprint arXiv:2004.11288 2020.

[12] Nessa A., Yang Q., and Kwak K., “Performance Analysis of Two-Hop Cooperative MIMO Transmission with Best Relay Selection in Rayleigh Fading Channel,” The International Arab Journal of Information Technology, vol. 8, no. 1, pp. 9-15, 2011.

[13] Odeyemi K., Owolawi P., and Olakanmi O., “Reconfigurable Intelligent Surface in Wireless- Powered Interference Limited Communication Networks,” Symmetry, vol. 13, no. 6, pp. 960, 2021.

[14] Odeyemi K., Owolawi P., and Olakanmi O., “Reconfigurable Intelligent Surface Assisted Mobile Network with Randomly Moving User over Fisher-Snedecor Fading Channel,” Physical Communication, vol. 43, pp. 101186, 2020,

[15] Pandey A. and Yadav S., “Physical Layer Security in Cooperative AF Relaying Networks With Direct Links Over Mixed Rayleigh and Double-Rayleigh Fading Channels,” IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 10615-10630, 2018.

[16] Perovic N., Renzo M., and Flanagan M., “Channel Capacity Optimization Using Reconfigurable Intelligent Surfaces in Indoor mmWave Environments,” in Proceedings of IEEE International Conference on Communications, Dublin, pp. 1-7, 2020.

[17] Renzo M., Ntontin K., Song J., Danufane S., Qian X., Lazarakis F., Rosny J., Phan-Huy D., Simeone O., Zhang R., Debbah M., Lerosey G., Fink M., Tretyakov S., and Shamai S., “Reconfigurable Intelligent Surfaces Vs. Relaying: Differences, Similarities, and Performance Comparison,” IEEE Open Journal of the Communications Society, vol. 1, pp. 798- 807, 2020.

[18] Saad W., Bennis M., and Chen M., “A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems,” IEEE Network, vol. 34, no. 3, pp. 134-142, 2020.

[19] Yang L., Chen J., Jiang H., Vorobyov S., and Zhang H., “Optimal Relay Selection for Secure Cooperative Communications with an Adaptive Eavesdropper,” IEEE Transactions on Wireless Communications, vol. 16, no. 1, pp. 26-42, 2017.

[20] Yang N., Wang L., Geraci G., Elkashlan M., Yuan J., and Di Renzo M., “Safeguarding 5G Wireless Communication Networks Using Physical Layer Security,” IEEE Communications Magazine, vol. 53, no. 4, pp. 20-27, 2015.

[21] Yuan X., Zhang Y., Shi Y., Yan W., and Liu H., “Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities,” arXiv, pp. 1-7, 2020.

[22] Zhao J., “A Survey of Intelligent Reflecting Surfaces (IRSs): Towards 6G Wireless Communication Networks with Massive MIMO 2.0,” arXiv, pp. 1-7, 2019.