Deep Bidirectional LSTM Network Learning-Aided OFDMA Downlink and SC-FDMA Uplink

Paper

Kadir, Rafiul, Saha, Ritu, Awal, Md Abdul and Kadir, Mohammad Ismat. 2021. "Deep Bidirectional LSTM Network Learning-Aided OFDMA Downlink and SC-FDMA Uplink." 2021 International Conference on Electronics, Communications and Information Technology (ICECIT). Khulna, Bangladesh 14 - 16 Sep 2021 Bangladesh. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICECIT54077.2021.9641123
Paper/Presentation Title

Deep Bidirectional LSTM Network Learning-Aided OFDMA Downlink and SC-FDMA Uplink

Presentation TypePaper
AuthorsKadir, Rafiul, Saha, Ritu, Awal, Md Abdul and Kadir, Mohammad Ismat
Journal or Proceedings TitleProceedings of 2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
Number of Pages4
Year2021
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationBangladesh
ISBN9781665423632
9781665423649
Digital Object Identifier (DOI)https://doi.org/10.1109/ICECIT54077.2021.9641123
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/9641123
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9641074/proceeding
Conference/Event2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
Event Details
2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
Delivery
In person
Event Date
14 to end of 16 Sep 2021
Event Location
Khulna, Bangladesh
Event Venue
Khulna University
Event Web Address (URL)
Abstract

In this paper, deep learning (DL)-aided signal detection is proposed for the orthogonal frequency division multiple access (OFDMA) in the downlink and for the single carrier frequency division multiple access (SC-FDMA) in the uplink. A deep bidirectional long short-term memory (D-BiLSTM) is considered for training OFDMA/SC-FDMA symbols. The traditional orthogonal frequency division multiplexing (OFDM) receiver explicitly estimates the channel state information (CSI) and recovers the transmitted symbol with the aid of the estimated CSI. By contrast, the proposed scheme implicitly estimates the CSI, and the receiver directly detects the transmitted symbols. Our simulations results show that the DL-based system is capable of addressing the channel distortion and can recover the transmitted data. A DL model is trained offline in order to mitigate channel distortion. Following the training, the model is tested to recover the transmitted online data symbol directly. Our simulations demonstrate that BiLSTM based DL may be effectively employed to detect signals in the OFDMA downlink and the SC-FDMA uplink scenarios.

KeywordsOFDMA; SC-FDMA; Deep learning; Bidirectional LSTM; Rayleigh fading channel
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400608. Wireless communication systems and technologies (incl. microwave and millimetrewave)
461103. Deep learning
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsKhulna University, Bangladesh
Permalink -

https://research.usq.edu.au/item/100932/deep-bidirectional-lstm-network-learning-aided-ofdma-downlink-and-sc-fdma-uplink

Log in to edit
  • 42
    total views
  • 1
    total downloads
  • 12
    views this month
  • 0
    downloads this month

Export as

Related outputs

Fully Quanvolutional Networks for Time Series Classification
Orka, Nabil Anan, Haque, Ehtashamul, Awal, Md Abdul and Moni, Mohammad Ali. 2025. "Fully Quanvolutional Networks for Time Series Classification." 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '25). Toronto, Canada 03 - 07 Aug 2025 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3711896.3736972
Quantum deep learning in neuroinformatics: a systematic review
Orka, Nabil Anan, Awal, Md Abdul, Liò, Pietro, Pogrebna, Ganna, Ross, Allen G and Moni, Mohammad Ali. 2025. "Quantum deep learning in neuroinformatics: a systematic review." Artificial Intelligence Review: an international survey and tutorial journal. 58 (5). https://doi.org/10.1007/s10462-025-11136-7
HepNet: Deep neural network for classification of early-stage hepatic steatosis using microwave signals
Hasan, Sazid, Brankovic, Aida, Awal, Md Abdul, Rezaeieh, Sasan Ahdi, Keating, Shelley E., Abbosh, Amin M. and Zamani, Ali. 2025. "HepNet: Deep neural network for classification of early-stage hepatic steatosis using microwave signals." IEEE Journal of Biomedical and Health Informatics. 29 (1), pp. 142-151. https://doi.org/10.1109/JBHI.2024.3489626
Towards non-invasive liver health monitoring: Comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues
Awal, Md Abdul, Janani, Azin S., Rezaeieh, Sasan Ahdi, Macdonald, Graeme A. and Abbosh, Amin. 2024. "Towards non-invasive liver health monitoring: Comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. 9 (1), pp. 2-14. https://doi.org/10.1109/JERM.2024.3416758
Adaptive weighted vector means optimization for healthy and malignant skin modeling at microwave frequencies using clinical data
Awal, Md Abdul, Naqvi, Syed Akbar Raza, Foong, Damien and Abbosh, Amin. 2024. "Adaptive weighted vector means optimization for healthy and malignant skin modeling at microwave frequencies using clinical data." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. 8 (2), pp. 170-181. https://doi.org/10.1109/JERM.2024.3374090
A comprehensive bioinformatics approach to identify molecular signatures and key pathways for the Huntington disease
Meem, Tahera Mahnaz, Khan, Umama, Mredul, Md Bazlur Rahman, Awal, Md Abdul, Rahman, Md Habibur and Khan, Md Salauddin. 2023. "A comprehensive bioinformatics approach to identify molecular signatures and key pathways for the Huntington disease." Bioinformatics and Biology Insights. 17, pp. 1-17. https://doi.org/10.1177/11779322231210098
Prevalence and factors associated with chronic school absenteeism among 207,107 in-school adolescents: Findings from cross-sectional studies in 71 low-middle and high-income countries
Rahman, Md Ashfikur, Renzaho, Andre M. N., Kundu, Satyajit, Awal, Md. Abdul, Ashikuzzaman, Md., Fan, Lijun, Ahinkorah, Bright Opoku, Okyere, Joshua, Kamara, Joseph Kihika and Mahumud, Rashidul Alam. 2023. "Prevalence and factors associated with chronic school absenteeism among 207,107 in-school adolescents: Findings from cross-sectional studies in 71 low-middle and high-income countries." PLoS One. 18 (5). https://doi.org/10.1371/journal.pone.0283046
HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting
Pinki, Farhana Tazmim, Awal, Md Abdul, Mumenin, Khondoker Mirazu, Hossain, Md. Shahadat, Faysal, Jabed Al, Rana, Rajib, Almuqren, Rajib, Ksibi, Amel and Samad, Md Abdus. 2023. "HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting." Mathematics. 11 (18). https://doi.org/10.3390/math11183960
Bangla natural language processing: A comprehensive review of classical machine learning and deep learning based methods
Sen, Ovishake, Fuad, Mohtasim, Islam, Md Nazrul, Rabbi, Jakaria, Masud, Mehedi, Hasan, Md. Kamrul, Awal, Md. Abdul, Fime, Awal Ahmed, Fuad, Md. Tahmid Hasan, Sikder, Delowar and Iftee, Md. Akil Raihan. 2022. "Bangla natural language processing: A comprehensive review of classical machine learning and deep learning based methods." IEEE Access. 10, pp. 38999-39044. https://doi.org/10.1109/ACCESS.2022.3165563
Bioinformatics and system biology techniques to determine biomolecular signatures and pathways of prion disorder
Mredul, Md Bazlur Rahman, Khan, Umama, Rana, Humayan Kabir, Meem, Tahera Mahnaz, Awal, Md Abdul, Rahman, Md Habibur and Khan, Md Salauddin. 2022. "Bioinformatics and system biology techniques to determine biomolecular signatures and pathways of prion disorder." Bioinformatics and Biology Insights. 16, pp. 1-14. https://doi.org/10.1177/11779322221145373
HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis
Islam, Md Saiful, Awal, Md. Abdul, Laboni, Jinnaton Nessa, Pinki, Farhana Tazmim, Karmokar, Shatu, Mumenin, Khondoker Mirazul, Al-Ahmadi, Saad, Rahman, Md Ashfikur, Hossain, Md Shahadat and Mirjalili, Seyedali. 2022. "HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis." Computers in Biology and Medicine. 147. https://doi.org/10.1016/j.compbiomed.2022.105671
Development of a smartphone-based expert system for COVID-19 risk prediction at early stage
Raihan, M., Hassan, Md Mehedi, Hasan, Towhid, Bulbul, Abdullah Al-Mamun, Hasan, Md Kamrul, Hossain, Md Shahadat, Roy, Dipa Shuvo and Awal, Md Abdul. 2022. "Development of a smartphone-based expert system for COVID-19 risk prediction at early stage." Bioengineering. 9 (7). https://doi.org/10.3390/bioengineering9070281
Fake news detection of covid-19 using machine learning techniques
Ghosh, Promila, Raihan, M., Hassan, Md Mehedi, Akter, Laboni, Zaman, Sadika and Awal, Md Abdul. 2022. "Fake news detection of covid-19 using machine learning techniques." 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021). Hua Hin, Thailand 30 - 31 Dec 2021 Switzerland . Springer. https://doi.org/10.1007/978-3-030-93247-3_46
Early Prediction of Diabetes Using an Ensemble of Machine Learning Models
Dutta, Aishwariya, Hasan, Md Kamrul, Ahmad, Mohiuddin, Awal, Md Abdul, Islam, Md Akhtarul, Masud, Mehedi and Meshref, Hossam. 2022. "Early Prediction of Diabetes Using an Ensemble of Machine Learning Models ." International Journal of Environmental Research and Public Health. 19 (19). https://doi.org/10.3390/ijerph191912378
Covid-19 fake news detection on social media
Mumenin, Khondoker Mirazul, Reza, Khondker Jahid, Shathi, Swarna Saha, Akter, Humayra, Raihan, M., Hassan, Md Mehedi, Rahman, Shagoto and Awal, Md Abdul. 2022. "Covid-19 fake news detection on social media." 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2). Rajshahi, Bangladesh 26 - 27 Dec 2021 Bangladesh. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IC4ME253898.2021.9768523
Understanding world happiness using machine learning techniques
Ibnat, F., Gyalmo, Jigmey, Alom, Zulfikar, Awal, Md Abdul and Azim, Mohammad Abdul. 2022. "Understanding world happiness using machine learning techniques." 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2). Rajshahi, Bangladesh 26 - 27 Dec 2021 Bangladesh. https://doi.org/10.1109/IC4ME253898.2021.9768407
Influential Causes that Affect Largely for the Survival of a Patient with Heart-failure: A Machine Learning Perspective
Talin, Iffat Ara, Abid, Mahmudul Hasan, Awal, Md Abdul and Nahid, Abdullah-Al. 2022. "Influential Causes that Affect Largely for the Survival of a Patient with Heart-failure: A Machine Learning Perspective." 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2). Rajshahi, Bangladesh 26 - 27 Dec 2021 Bangladesh. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IC4ME253898.2021.9768462
OLGBM: Optuna optimized light gradient boosting machine for intrusion detection
Arifin, Md Mashrur, Based, Md Mashrur, Mumenin, Khondoker Mirazul, Imran, Ali, Azim, Mohammad Abdul, Alom, Zulfikar and Awal, Md Abdul. 2022. "OLGBM: Optuna optimized light gradient boosting machine for intrusion detection." 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2). Rajshahi, Bangladesh 26 - 27 Dec 2021 Bangladesh. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IC4ME253898.2021.9768555
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
Howlader, Koushik Chandra, Satu, Md Shahriare, Awal, Md Abdul, Islam, Md Rabiul, Islam, Sheikh Mohammed Shariful, Quinn, Julian MW and Moni, Mohammad Ali. 2022. "Machine learning models for classification and identification of significant attributes to detect type 2 diabetes." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-021-00168-2
Machine learning approaches for predicting hypertension and its associated factors using population-level data from three South Asian countries
Islam, Sheikh Mohammed Shariful, Talukder, Ashis, Awal, Md Abdul, Siddiqui, Md Muhammad Umer, Ahamad, Md Martuza, Ahammed, Benojir, Rawal, Lal B, Alizadehsani, Roohallah, Abawajy, Jemal, Laranjo, Liliana, Chow, Clara K. and Maddison, Ralph. 2022. "Machine learning approaches for predicting hypertension and its associated factors using population-level data from three South Asian countries." Frontiers in Cardiovascular Medicine. 9. https://doi.org/10.3389/fcvm.2022.839379
Determination of molecular signatures and pathways common to brain tissues of autism spectrum disorder: insights from comprehensive bioinformatics approach
Bristy, Sadia Afrin, Islam, AM Humyra, Andalib, KM Salim, Khan, Umama, Awal, Md Abdul and Rahman, Md Habibur. 2022. "Determination of molecular signatures and pathways common to brain tissues of autism spectrum disorder: insights from comprehensive bioinformatics approach." Informatics in Medicine Unlocked. 29. https://doi.org/10.1016/j.imu.2022.100871
Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach
Islam, AM Humyra, Rahman, Md Habibur, Bristy, Sadia Afrin, Andalib, KM Salim, Khan, Umama, Awal, Md Abdul, Hossain, Md Shahadat and Moni, Mohammad Ali. 2022. "Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach." Informatics in Medicine Unlocked. 29. https://doi.org/10.1016/j.imu.2022.100881
An Improved Machine-Learning Approach for COVID-19 Prediction Using Harris Hawks Optimization and Feature Analysis Using SHAP
Debjit, Kumar, Islam, Md Saiful, Rahman, Md. Abadur, Pinki, Farhana Tazmim, Nath, Rajan Dev, Al-Ahmadi, Saad, Hossain, Md. Shahadat, Mumenin, Khondoker Mirazul and Awal, Md. Abdul. 2022. "An Improved Machine-Learning Approach for COVID-19 Prediction Using Harris Hawks Optimization and Feature Analysis Using SHAP." Diagnostics. 12 (5). https://doi.org/10.3390/diagnostics12051023
Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images
Mondal, Chayan, Hasan, Md Kamrul, Ahmad, Mohiuddin, Awal, Md. Abdul, Jawad, Md. Tasnim, Dutta, Aishwariya, Islam, Md Rabiul and Moni, Mohammad Ali. 2021. "Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images." Informatics in Medicine Unlocked. 27. https://doi.org/10.1016/j.imu.2021.100794
GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for Hypertension Prediction in Bangladesh
Tahsin, Tasfia, Mumenin, Khondoker Mirazul, Pinki, Farhana Tazmim, Tuli, Anamika Biswas, Sikder, Shahriar, Rahman, Md Ashfikur, Bulbul, Abdullah Al-Mamun and Awal, Md Abdul. 2021. "GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for Hypertension Prediction in Bangladesh." 2021 International Conference on Electronics, Communications and Information Technology (ICECIT). Khulna, Bangladesh 14 - 16 Sep 2021 Bangladesh. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICECIT54077.2021.9641256
LDPC coded hybrid discrete cosine transform and Fejér–Korovkin wavelet transform-based SC-FDMA for image communication
Kadir, Rafiul, Saha, Ritu, Akhter, Md Mueid, Awal, Md Abdul and Kadir, Mohammad Ismat. 2021. "LDPC coded hybrid discrete cosine transform and Fejér–Korovkin wavelet transform-based SC-FDMA for image communication." Array. 12. https://doi.org/10.1016/j.array.2021.100107
EEG channel correlation based model for emotion recognition
Islam, Md Rabiul, Islam, Md Milon, Rahman, Md Mustafizur, Mondal, Chayan, Singha, Suvojit Kumar, Ahmad, Mohiuddin, Awal, Abdul, Islam, Md Saiful and Moni, Mohammad Ali. 2021. "EEG channel correlation based model for emotion recognition." Computers in Biology and Medicine. 136. https://doi.org/10.1016/j.compbiomed.2021.104757
Voiceless Bangla vowel recognition using sEMG signal
Mostafa, S.S., Awal, M.A., Ahmad, M. and Rashid, M.A.. 2016. "Voiceless Bangla vowel recognition using sEMG signal." SpringerPlus. 5 (1). https://doi.org/10.1186/s40064-016-3170-9
Performance analysis of different m-ary modulation techniques in fading channels using different diversity
Ahmed, Mohammad Riaz, Ahmed, Md Rumen, Robin, Md Ruhul Amin, Asaduzzaman, Md, Hossain, Md Mahbub and Awal, Md Abdul. 2010. "Performance analysis of different m-ary modulation techniques in fading channels using different diversity." Journal of Theoretical and Applied Information Technology. 15 (1), pp. 23-28.