Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

被引：0

作者：

Liu J. ^{[1
]}

Zhang Y. ^{[1
]}

Wang J. ^{[1
]}

Cui T. ^{[1
]}

Zhang L. ^{[1
]}

Li C. ^{[2
]}

Chen K. ^{[3
]}

Huang H. ^{[4
]}

Zhou X. ^{[5
]}

Zhou W. ^{[6
]}

Wang Z. ^{[7
]}

Li S. ^{[8
]}

Feng S. ^{[9
]}

Xie D. ^{[10
]}

Fan D. ^{[11
]}

Ou J. ^{[11
]}

Li Y. ^{[13
]}

Xiang H. ^{[14
]}

Dube K. ^{[15
]}

Muazu A. ^{[16
]}

Rono N. ^{[17
]}

Tang Y. ^{[18
]}

Deng D. ^{[19
]}

Lai S. ^{[20
]}

Zhao Z. ^{[20
]}

Rao Y. ^{[20
]}

Wu D. ^{[21
]}

Zhu F. ^{[22
]}

Chen L. ^{[23
]}

Zhou W. ^{[6
]}

Liu Z. ^{[25
]}

机构：

[1] Information Research Center, Tsinghua University, Beijing

[2] Advanced Research Center, Hamdard University

[3] Huawei Technologies, Stockholm

[4] Huawei Technologies, Dusseldorf

[5] Huawei Technologies, Boulogne-Billancourt

[6] Huawei Technologies, Markham

[7] Ericsson Sweden, Stockholm

[8] Information Research Center, Anhui University of Technology

[9] Starway Communication, Guangzhou

[10] AI Sensing Technology, Chancheng,Foshan

[11] University of Illinois Urbana-Champaign, Urbana

[12] Vaal University of Technology, Andries Potgieter Blvd

[13] Baze University, Airport Road, Abuja

[14] Rongo University, Rongo

[15] Shantou University, Shantou

[16] University of Science and Technology of China, Hefei

[17] Guangzhou University, Guangzhou

[18] Beijing University of Posts and Telecommunications, Beijing

[19] Guangdong New Generation Communication and Network Innovative Institute (GDCNi), Guangzhou

[20] Electric Power Research Institute of CSG, Guangzhou

[21] Nanjing Forestry University, Nanjing

[22] Anhui University of Technology, Anhui

来源：

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems | 2022年 / 9卷 / 32期

基金：

中国国家自然科学基金;

关键词：

Outage probability; Relay selection; Symbol error rate (ser); Two-way relay network (twrn);

D O I：

10.4108/eetinis.v9i32.1909

中图分类号：

学科分类号：

摘要：

Within this specific record, our group study a two-way relay network (TWRN) that has a number of amplifyandforward (AF) relays. In that, the best relay is selected to help the communication among sources. Our group first use the outdated channel state information (CSI) to analyze its effect on the system effectiveness in the Rayleigh fading atmospheres.Especially, we extremely preliminary acquire a restricted decreased connected for the outage probability and afterward current an asymptotic assessment for greater signal-tonoise ratio (SNR). Our group extra acquire a restricted decreased connected along with an asymptotic result on the symbol error rate (SER). Through these results, our group easily quickly obtain that diversity order remain at unity offered that the CSI is actually really outdated. Relative results reveal the rigidness on the effectiveness bounds along with the effects of outdated CSI on the system effectiveness. Simulation outcomes are likewise offered to corroborate the scholastic evaluation. © 2022. Jun Liu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

引用

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