Resource Allocation for Secure Ultra-Reliable Low-Latency-Communication in IoT Applications | ||
| Journal of Communication Engineering | ||
| مقاله 6، دوره 10، شماره 2 - شماره پیاپی 21، مهر 2021، صفحه 243-260 اصل مقاله (707.88 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22070/jce.2023.17704.1244 | ||
| نویسندگان | ||
| Solmaz Sorkhi Asbaghi؛ Mahmood Mohassel Feghhi* ؛ Javad Musevi Niya | ||
| Faculty of Electrical and computer Engineering, University of Tabriz, Tabriz, Iran | ||
| چکیده | ||
| The Internet of Things (IoT) has a significant demand in society due to its features, and it is constantly improving. In the context of wireless technology, Ultra-reliable and low-latency communication (URLLC) is one of the essential and challenging services in fifth-generation (5G) networks and beyond. The research on URLLC is still in its early stages due to its conflicting requirements, regarding high reliability and low latency. In this paper, we study the performance of secure short-packet communications and resource allocation in IoT systems. To this end, we investigate a health center automation, where the goal of the access point is to send critical messages to devices without eavesdropping. In this context, our goal is to maximize the weighted sum throughput and minimize the total transmit power, respectively.The problems of maximizing the weighted sum throughput, and minimizing the total transmit power are non-convex and hard to solve. To overcome this challenge, we use efficient mathematical techniques, such as the block coordinate descent (BCD) method and gradient ascent algorithm; we also use estimation methods such as Ralston, Heun, and forward-backward, in the derivative part of the gradient ascent algorithm. The simulation results show the performance advantages of the BCD algorithm and the gradient ascent in the short packet transmission scheme, also the simulation results show the superiority of the proposed methods in most cases. | ||
| کلیدواژهها | ||
| Resource Allocation؛ Ultra-Reliable Low Latency Communications؛ Internet of Things؛ Short Packet communications | ||
| مراجع | ||
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[29] A. Alaba, M. Othman, I. A. T. Hashem, and F. Alotaibi, “Internet of things security: A survey,” Journal of Network and Computer Applications, vol. 88, pp. 10-28, June 2017.
[30] Chettri and R. Bera, “A Comprehensive Survey on Internet of Things (IoT) Towards 5GWireless Systems,” IEEE Internet of Things Journal, vol. 7, no. 1, pp. 16-32, Jan. 2020.
[31] Nguyen, M. Ding, P. N. Pathirana, A. Seneviratne, J. Li, D. Niyato, O. Dobre, H. V. Poor, “6G Internet of Things: A Comprehensive Survey,” IEEE Internet of Things Journal, vol. 9, no. 1, pp. 359-383, Jan. 2022.
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[36] Han, K. Xiao, R. Liu, X. Liu, G. C. Alexandropoulos, and Sh. Jin, “ Dynamic resource allocation schemes for eMBB and URLLC services in 5G wireless networks,” IEEE Intelligent and Converged Networks., vol. 3, no. 2, pp. 145-160, June 2022.
[37] Durisi, T. Koch, and P. Popovski, “Toward massive, Ultrareliable, and low-latency wireless communication with short packets,” in Proceedings of the IEEE, vol. 104, no. 9, pp. 1711–1726, Sept. 2016.
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[39] Bennis, M. Debbah, H. V. Poor, “Ultra reliable and Low-Latency Wireless Communication: Tail, Risk, and Scale,” Proceedings of the IEEE, vol. 106, no. 10, pp. 1834-1853, sept 2018.
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[42] Ren, C. Pan, Y. Deng, M. Elkashlan, and A. Nallanathan, “ Resource Allocation for Secure URLLC in Mission-Critical IoT Scenarios,” IEEE Trans. Communications., vol. 68, no. 9, pp. 5793-5807, Sept. 2020.
[43] Sun, Ch. She, Ch. Yang, T. Q. S. Quek, Y. Li, and B. Vucetic, “ Optimizing Resource Allocation in the Short Blocklength Regime for Ultra-Reliable and Low-Latency Communications,” IEEE Trans. Wireless Communications., vol. 18, no. 1, pp. 402-415, Jan. 2019.
[44] Khan and S. Coleri, “Resource Allocation for Ultra-Reliable Low-Latency Vehicular Networks in Finite Blocklength Regime,” IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Athens, Greece, pp. 322-327, 2022.
[45] Pan, H. Ren, Y. Deng, M. Elkashlan, and A. Nallanathan, “Joint block length and location optimization for URLLC-enabled UAV relay systems,” IEEE Communications. Lett. vol. 23, no. 3, pp. 498–501, Mar. 2019.
[46] Zhou et al., “Secure communications for UAV-enabled mobile edge computing systems,” IEEE Trans. Commun., vol. 68, no. 1, pp. 376–388, Jan. 2020.
[47] Yang, R. F. Schaefer, and H. V. Poor, “Wiretap channels: Non asymptotic fundamental limits,” IEEE Trans. Inf. Theory, vol. 65, no. 7, pp. 4069–4093, July 2019.
[48] Librino, P. Santi, “ Resource Allocation and Sharing in URLLC for IoT Applications using Shareability Graphs,” IEEE Internet of Things., vol. 7, no. 10, pp. 10511-10526, Oct. 2020.
[49] Bubeck, “ Convex Optimization: Algorithms and Complexity,” Foundations and Trends in Machine Learning, vol. 8, no. 3-4, pp. 231-357, 2015.
[50] Further Advancements for E-UTRA Physical Layer Aspects, E. U. T. R. Access, 3GPP document TR 36.814, 2010. | ||
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