The Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks
Intelligent Bi-directional Relaying Communication
DOI:
https://doi.org/10.4108/eetinis.v9i32.1909Keywords:
Outage probability, two-way relay network (TWRN), relay selection, symbol error rateAbstract
Within this specific record, our group study the two-way interact body (TWRN) that has a number of amplify-and-forward (AF) relays. In that, the best one is actually really got to help the info communication among sources. A interact option is actually really according to the obsolete channel problem information (CSI) in addition to our group analyze its own very personal effect on the system effectiveness in the Rayleigh fading atmospheres. Especially, we extremely preliminary acquire a restricted decreased connected for the outage opportunity and afterward current an asymptotic assessment for greater signal-to-noise ratio (SNR). Our group extra acquire a restricted decreased connected along with an asymptotic result on the authorize error cost (SER). Originating got via these results, our group easily quickly obtain that body system range order remain at unity offered that the CSI is actually really obsolete. Relative results reveal the rigidness on the effectiveness bounds along with the effects of obsolete interact option on the body system effectiveness. Simulation outcomes are likewise offered to corroborate the scholastic evaluation.
Downloads
References
J. Sun, X. Wang, Y. Fang, X. Tian, M. Zhu, J. Ou, and C. Fan, “Security performance analysis of relay networks based on-shadowed channels with rhis and cees,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
X. Deng, S. Zeng, L. Chang, Y. Wang, X. Wu, J. Liang, J. Ou, and C. Fan, “An ant colony optimization-based routing algorithm for load balancing in leo satellite networks,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
C. Wang, W. Yu, F. Zhu, J. Ou, C. Fan, J. Ou, and D. Fan, “Uav-aided multiuser mobile edge computing networks with energy harvesting,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
J. Chen, Y. Wang, J. Ou, C. Fan, X. Lu, C. Liao, X. Huang, and H. Zhang, “Albrl: Automatic loadbalancing architecture based on reinforcement learning in software-defined networking,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
C. Ge, Y. Rao, J. Ou, C. Fan, J. Ou, and D. Fan, “Joint offloading design and bandwidth allocation for ris-aided multiuser mec networks,” Physical Communication, p.101752, 2022.
C. Yang, B. Song, Y. Ding, J. Ou, and C. Fan, “Efficient data integrity auditing supporting provable data update for secure cloud storage,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
J. Lu, L. Chen, J. Xia, F. Zhu, M. Tang, C. Fan, and J. Ou, “Analytical offloading design for mobile edge computing-based smart internet of vehicle,” EURASIP journal on advances in signal processing, vol. 2022, no. 1, pp. 1–19, 2022.
L. Zhang, W. Zhou, J. Xia, C. Gao, F. Zhu, C. Fan, and J. Ou, “Dqn based mobile edge computing for smart internet of vehicle,” EURASIP journal on advances in signal processing, vol. 2022, no. 1, pp. 1–19, 2022.
J. Liu, Y. Zhang, J.Wang, T. Cui, L. Zhang, C. Li, K. Chen, S. Li, S. Feng, D. Xie et al., “Outage probability analysis for uav-aided mobile edge computing networks,” EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 9, no. 31, pp. e4–e4, 2022.
I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 7th ed. San Diego, CA: Academic, 2007.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.
