Abstract
Channel Estimation (CE) is extremely important in estimating accurately the Channel Impulses Responses (CIR) in disparate conditions. Thus, CE is an extremely vital procedure in the Multiple Users Multiples-Input Multiples-Output–Orthogonal Frequency-Divisions Multiplexing (MU-MIMO-OFDM). However, Inter-Symbols Interferences (ISI) and Inter-Users Interferences (IUI) are the major challenges that the MU-MIMO-OFDM has to face. Obtaining Channel States Information (CSI) is very hard on account of the occurrence of the ISI and IUI in the wireless communication (WC) channel. Conversely, one of the constrictions of MU-MIMO-OFDM is secure signal transmission. To address all these issues, this work proposes a deep learning-centered CE and secures Data Transmission (DT) utilizing IEHO-DCNN and MECC algorithm in the MU-MIMO-OFDM. Initially, the MECC algorithm encrypts the input signals at the transmitter’s side for rendering secure DT. Next, to shun ISI and accurately estimate the CIR, the Cyclic Prefix (CP) along with pilot symbols is interleaved into the signal. The channel is evaluated via IEHO-DLNN. Additionally, the fuzzy-centered priority scheduling is adopted to shun the IUI. It scheduled the manifold users at the received side centred on their waiting time. The proposed work estimates the channel with a minimal cost function, which is experimentally proved via comparing it with prevailing methods.
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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
Abbreviations
- CE:
-
Channel Estimation
- CIR:
-
Channel Impulses Responses
- MU-MIMO-OFDM:
-
Multiple Users Multiples-Input Multiples-Output–Orthogonal Frequency-Divisions Multiplexing
- ISI:
-
Inter-Symbols Interferences
- IUI:
-
Inter-Users Interferences
- CSI:
-
Channel States Information
- WC:
-
Wireless communication
- DT:
-
Data Transmission
- CP:
-
Cyclic Prefix
- OFDM:
-
Orthogonal frequency division multiplexing
- BPSK:
-
Binary Phase Shift Keying
- GSM:
-
Generalized Spatial Modulation
- MIMO:
-
Multiple-inputs multiple-outputs
- PSNR:
-
Peak signal-to-noises ratio
- SD:
-
Signal Decomposition
- VMD:
-
Variational Modes Decomposition
- VMF:
-
Variational Modes Functions
- ECC:
-
Elliptic curves encryption
- ISMS:
-
Information security managements systems
- MCS:
-
Modulated Carrier Signal
- IEHO-DLNN:
-
Improved Elephant Herd Optimization-centered Deep Learning Neural Network
- HL:
-
Hidden Layers
- OL:
-
Output Layers
- NN:
-
Neural Networks
- WV:
-
Weight values
- EHO:
-
Elephant Herding Optimizations
- FBPS:
-
Fuzzy based Priority Scheduling
- FL:
-
Fuzzy Logic
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by RC, PER. The first draft of the manuscript was written by RC and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Chitikena, R., Esther Rani, P. Deep Learning Based Channel Estimation and Secure data Transmission Using IEHO-DLNN and MECC Algorithm in Mu-MIMO OFDM System. Wireless Pers Commun 129, 2269–2289 (2023). https://doi.org/10.1007/s11277-023-10172-2
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DOI: https://doi.org/10.1007/s11277-023-10172-2