Outage Probability Performance Prediction for Mobile Cooperative Communication Networks Based on Artificial Neural Network

This paper investigates outage probability (OP) performance predictions using transmit antenna selection (TAS) and derives exact closed-form OP expressions for a TAS scheme. It uses Monte-Carlo simulations to evaluate OP performance and verify the analysis. A back-propagation (BP) neural network-based OP performance prediction algorithm is proposed and compared with extreme learning machine (ELM), locally weighted linear regression (LWLR), support vector machine (SVM), and BP neural network methods. The proposed method was found to have higher OP performance prediction results than the other prediction methods.

[1]  Mazen O. Hasna,et al.  Harmonic mean and end-to-end performance of transmission systems with relays , 2004, IEEE Transactions on Communications.

[2]  Xu Yu,et al.  A Cross-Domain Collaborative Filtering Algorithm Based on Feature Construction and Locally Weighted Linear Regression , 2018, Comput. Intell. Neurosci..

[3]  Quanzhong Li,et al.  Beamforming for Cooperative Secure Transmission in Cognitive Two-Way Relay Networks , 2020, IEEE Transactions on Information Forensics and Security.

[4]  Ali Shahzadi,et al.  Improved performance for a heterogeneous satellite-cooperative network with best relay node selection , 2019, China Communications.

[5]  Xianpeng Wang,et al.  Polarization Channel Estimation for Circular and Non-Circular Signals in Massive MIMO Systems , 2019, IEEE Journal of Selected Topics in Signal Processing.

[6]  Lingwei Xu,et al.  Performance analysis for M2M video transmission cooperative networks using transmit antenna selection , 2017, Multimedia Tools and Applications.

[7]  Liuqing Yang,et al.  Secure Precoding Aided Spatial Modulation via Transmit Antenna Selection , 2019, IEEE Transactions on Vehicular Technology.

[8]  Mostafa Kaveh,et al.  Exact symbol error probability of a Cooperative network in a Rayleigh-fading environment , 2004, IEEE Transactions on Wireless Communications.

[9]  Daniel Benevides da Costa,et al.  On the Double-Generalized Gamma Statistics and Their Application to the Performance Analysis of V2V Communications , 2018, IEEE Transactions on Communications.

[10]  Xianpeng Wang,et al.  Assistant Vehicle Localization Based on Three Collaborative Base Stations via SBL-Based Robust DOA Estimation , 2019, IEEE Internet of Things Journal.

[11]  Ghulam Bhatti,et al.  Machine Learning Based Localization in Large-Scale Wireless Sensor Networks , 2018, Sensors.

[12]  Ming Yan,et al.  PECS: Towards personalized edge caching for future service-centric networks , 2019, China Communications.

[13]  Zhong Zheng,et al.  Asymptotic Analysis for Spectrum-Sharing Systems With TAS/MRC Using Extreme Value Theory: An Overlooked Aspect , 2019, IEEE Access.

[14]  Thomas Aaron Gulliver,et al.  GWO-BP Neural Network Based OP Performance Prediction for Mobile Multiuser Communication Networks , 2019, IEEE Access.

[15]  Hong Wen,et al.  A physical layer secure transmission method based on channel prediction and QoS , 2017, 2017 IEEE Conference on Communications and Network Security (CNS).

[16]  C. Y. Chung,et al.  Online Damping Ratio Prediction Using Locally Weighted Linear Regression , 2016, IEEE Transactions on Power Systems.

[17]  Thomas Kaiser,et al.  Massive MIMO Antenna Selection: Switching Architectures, Capacity Bounds, and Optimal Antenna Selection Algorithms , 2018, IEEE Transactions on Signal Processing.

[18]  Hao Zhang,et al.  Performance analysis of IAF relaying mobile D2D cooperative networks , 2017, J. Frankl. Inst..

[19]  Mohamed-Slim Alouini,et al.  Secrecy Analysis for Cooperative NOMA Networks With Multi-Antenna Full-Duplex Relay , 2019, IEEE Transactions on Communications.

[20]  Zhan Zhao,et al.  Monitoring Method of Total Seed Mass in a Vibrating Tray Using Artificial Neural Network , 2018, Sensors.

[21]  Yang Zhao,et al.  Temperature Compensation of Elasto-Magneto-Electric (EME) Sensors in Cable Force Monitoring Using BP Neural Network , 2018, Sensors.

[22]  Mohamed-Slim Alouini,et al.  Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links , 2018, IEEE Transactions on Wireless Communications.

[23]  Benjamin Fuchs.  Antenna Selection for Array Synthesis Problems , 2017, IEEE Antennas and Wireless Propagation Letters.

[24]  Ender Sevinc,et al.  A Novel Evolutionary Algorithm for Data Classification Problem With Extreme Learning Machines , 2019, IEEE Access.

[25]  George P. Efthymoglou,et al.  V2V Cooperative Relaying Communications Under Interference and Outdated CSI , 2018, IEEE Transactions on Vehicular Technology.

[26]  Shengli Fu,et al.  Intelligent Massive MIMO Antenna Selection Using Monte Carlo Tree Search , 2019, IEEE Transactions on Signal Processing.

[27]  Hong Wen,et al.  Secure Cooperative Transmission With Imperfect Channel State Information Based on BPNN , 2018, IEEE Transactions on Vehicular Technology.

[28]  Zhan Liu,et al.  Antenna Selection for Full-Duplex Distributed Antenna Systems , 2019, IEEE Access.

[29]  Jia Shi,et al.  Particle classification optimization-based BP network for telecommunication customer churn prediction , 2018, Neural Computing and Applications.

[30]  Patrick Mitran,et al.  Variable-Rate Two-Phase Collaborative Communication Protocols for Wireless Networks , 2006, IEEE Transactions on Information Theory.

[31]  Jung-Chieh Chen,et al.  Joint Quantized Constant Envelope Precoding and Antenna Selection for Massive MU-MIMO Downlink Systems Using Higher-Order QAM , 2019, IEEE Access.

[32]  Qiyishu Li,et al.  Performance Analysis for Spatial Modulation With AF Relaying Over Spatially Correlated Rayleigh Channels , 2019, IEEE Access.

[33]  Efendi Fidan,et al.  Performance of Transceiver Antenna Selection in Two Way Full-Duplex Relay Networks Over Rayleigh Fading Channels , 2018, IEEE Transactions on Vehicular Technology.

[34]  Hai-Dong Yang,et al.  A novel extreme learning Machine-based Hammerstein-Wiener model for complex nonlinear industrial processes , 2019, Neurocomputing.

[35]  H. Vincent Poor,et al.  Secure Relaying in Non-Orthogonal Multiple Access: Trusted and Untrusted Scenarios , 2018, IEEE Transactions on Information Forensics and Security.

[36]  George K. Karagiannidis,et al.  $N{\ast}$Nakagami: A Novel Stochastic Model for Cascaded Fading Channels , 2007, IEEE Transactions on Communications.

[37]  Limei Xu,et al.  A Real-Time Channel Prediction Model Based on Neural Networks for Dedicated Short-Range Communications , 2019, Sensors.

[38]  Zheng Ma,et al.  Accurate Performance Analysis of Coded Large-Scale Multiuser MIMO Systems with MMSE Receivers , 2019, Sensors.

[39]  Donghun Lee.  Performance analysis of transmit antenna selection-maximal ratio combining relay systems over non-identical channel estimation error , 2019, IET Commun..

[40]  Murat Uysal,et al.  Cooperative Diversity for Intervehicular Communication: Performance Analysis and Optimization , 2009, IEEE Transactions on Vehicular Technology.

[41]  Lingwei Xu,et al.  Physical Layer Security Performance of Mobile Vehicular Networks , 2020, Mob. Networks Appl..

[42]  Wei Shi,et al.  Outage Performance for IDF Relaying Mobile Cooperative Networks , 2017, 5GWN.

[43]  Ahmed Hesham Mehana,et al.  Multi-cell MMSE data detection for massive MIMO: new simplified bounds , 2019, IET Commun..

[44]  Kai Zhao,et al.  On Spectral Unmixing Resolution Using Extended Support Vector Machines , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[45]  Abdelrahman H. Gaber Swalem,et al.  Performance analysis of MIMO AF CDMA hybrid satellite-terrestrial cooperative networks using multiple relays strategy for downlink , 2019, IET Commun..