Journal
Selected Journals
Selected Journals
[36] Sabuj, S. R., Cho, Y., Elsharief, M., & Jo, H.-S. (2024). Trajectory design of uav-aided energy-harvesting relay networks in the terahertz band.[35] Alimo, D., Hamamura, M., & Sabuj, S. R. (2024). Coverage, throughput, and energy efficiency enhancement in beamspace massive mimo system using rate-splitting and orthogonal precoding. IEEE Access, 1-17. [34] Ahmed, S., Kamal, A. E., Selim, M. Y., Sabuj, S. R., & Hamamura, M. (2024). Revolutionizing batteryless iot systems to enhance nonlinear energy harvesting using ris active and passive elements. IEEE Open Journal of the Communications Society, 5, 3021-3037. [33] Hasan, M. A., Haque, F., Sabuj, S. R., Sarker, H., Goni, M. O. F., Rahman, F., & Rashid, M. M. (2024). An end-to-end lightweight multi-scale cnn for the classification of lung and colon cancer with xai integration. Technologies, 12(4), 1-24. [32] Elsharief, M., Emran, A., Hassan, H., Sabuj, S. R., & Jo, H.-S. (2024). Energy-efficient synchronization in industrial internet of things: An intelligent neighbor-knowledge approach. IEEE Transactions on Industrial Informatics, 20(6), 8548–8558. [31] Mollick, T., Hashmi, G., & Sabuj, S. R. (2024). A multifaceted journey in coastal meteorological projections through multioutput regression: A two-layer stacking ensemble approach. Theoretical and Applied Climatology. [30] Eusufzai, F., Bobby, A. N., Shabnam, F., & Sabuj, S. R. (2024). Personal internet of things networks: An overview of 3gpp architecture, applications, key technologies, and future trends. International Journal of Intelligent Networks, 5, 77–91. [29] Mollick, T., Hashmi, G., & Sabuj, S. R. (2024). Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants. Sustainable Energy Research, 11(5), 1–26 [28] Mollick, T., Hashmi, G., & Sabuj, S. R. (2023). A perceptible stacking ensemble model for air temperature prediction in a tropical climate zone. Discover Environment, 1(1), 15. [27] Sabuj, S. R., Ahmed, S., & Jo, H.-S. (2023). Multiple cuav-enabled mmtc and urllc services: Review of energy efficiency and latency performance. IEEE Transactions on Green Communications and Networking, 7(3), 1369–1382.[26] Ahmed, S., Hossain, M. A., Ray, S. K., Bhuiyan, M. M. I., & Sabuj, S. R. (2023). A study on road accident prediction and contributing factors using explainable machine learning models: Analysis and performance. Transportation Research Interdisciplinary Perspectives, 19, 100814. [25] Rashid, M. M., Khan, S. U., Eusufzai F., Redwan, M. A., Sabuj, S. R., & Elsharief , M. (2023). A Federated Learning-based Approach for Improving Intrusion Detection in Industrial Internet of Things, Network, 3(1), 158–179.[24] Sabuj, S. R., Alam, M. S., Haider, M., Hossain, M. A., & Pathan, A.-S. K. (2023). Low altitude satellite constellation for futuristic aerial-ground communications. Computer Modeling in Engineering & Sciences, 136(2), 1–37.[23] Islam, T. N., & Sabuj, S. R. (2022). Compensation layer-added federated learning receiver: Design and implementation. Internet Technology Letters, 5(6), 1–6.[22] Alimo, D., Hamamura, M., & Sabuj, S. R. (2022). Threshold-based user-assisted cooperative relaying in beamspace massive mimo noma systems. Sensors, 22(19), 1-23.[21] Sabuj, S. R., Rahul, A. R., Cho, Y., & Jo, H.-S. (2022). Cognitive unmanned aerial vehicle-aided human bond communication system: Modelling and performance analysis. IEEE Access, 10, 101090-101108.[20] Elsharief, M., Emran, A. A., Hassan, H., Sabuj, S. R., & Jo, H.-S. (2022). Sles: Scheduling-based low energy synchronization for industrial internet of things. IEEE Sensors Journal, 22(16), 16652–16661.[19] Sabuj, S. R., Rubaiat, M., Iqbal, M., Mobashera, M., Malik, A., Ahmed, I., & Matin, M. A. (2022). Machine-type communications in noma-based terahertz wireless networks. International Journal of Intelligent Networks, 3, 31-47. [18] Sadique, J. J., Sabuj, S. R., Ullah, S. E., Joarder, S. K., & Hamamura, M. (2022). UAV-aided transceiver design for secure downlink OW-DFTs-OFDM system: A multi-user mmWave application, IEEE Access, 10, 34577–34590. [17] Sabuj, S. R., Asiedu, D. K. P., Lee, K.-J., & Jo, H.-S. (2022). Delay optimization in mobile edge computing: Cognitive uav-assisted embb and mmtc services. IEEE Transactions on Cognitive Communications and Networking, 8(2), 1019-1033.[16] Hasan, M. K., Chowdhury, M. M. J., Ahmed, S., Sabuj, S. R., Nibhen, J., & Bakar, K. A. A. (2021). Optimum energy harvesting model for bidirectional cognitive radio networks. EURASIP Journal on Wireless Communications and Networking, 2021(1), 1-23.[15] Ahmed, S., Chowdhury, M. Z., Sabuj, S. R., Alam, M. I., & Jang, Y. M. (2021). Energy-efficient uav relaying robust resource allocation in uncertain adversarial networks. IEEE Access, 9, 59920–59934.[14] Rahul, A. R., Sabuj, S. R., Akbar, M. S., Jo, H.-S., & Hossain, M. A. (2021). An optimization based approach to enhance the throughput and energy efficiency for cognitive unmanned aerial vehicle networks. Wireless Networks, 27(1), 475–493.[13] Sadique, J. J., Sabuj, S. R., Ullah, S. E., Hossain, M., Raad, R., Islam, M., . . . Mahmud, M. et al. (2021). Analytical framework of cp-free multiuser ofdm system for coordinated multi-point at mmwave. Applied Sciences, 11(16), 7605.[12] Shariar, M. A., Monowara, S. M., Islam, M. S. U., Jawad, M. J. N., & Sabuj, S. R. (2021). Brainwave assistive system for paralyzed individuals. ITU Journal on Future and Evolving Technologies, Internet of Bio-Nano Things for health applications, 2(3).[11] Sabuj, S. R., Ahmed, A., Cho, Y., Lee, K.-J., & Jo, H.-S. (2021). Cognitive uav-aided urllc and mmtc services: Analyzing energy efficiency and latency. IEEE Access, 9, 5011–5027.[10] Sabuj, S. R., Khan, A. M. S., & Hamamura, M. (2020). Application of non-orthogonal multiple access for machine type communication in sub-terahertz band. Computer Networks, 182, 107508.[9] Sabuj, S. R., Nur, T. E., & Hamamura, M. (2020). An energy-efficient model of random cognitive radio network: Rayleigh-lognormal environment. Wireless Personal Communications, 114, 1963–1981.[8] Nazneen, S., Chowdhury, M. M. J., & Sabuj, S. R. (2019). Analysis of delay-sensitive performance in cognitive wireless sensor networks. Internet Technology Letters, 2(3), 1–6.[7] Sabuj, S. R., & Hamamura, M. (2019). Signal technique for friend or foe detection of intelligent malicious user in cognitive radio network. International Journal of Ad Hoc and Ubiquitous Computing, 32(1), 29–42.[6] Sabuj, S. R., Rayhana, R., & Bobby, A. (2019). Spectral efficiency of energy harvesting random cognitive radio networks in dual-slope model. EAI Endorsed Transactions on Cognitive Communications, 4(14).[5] Sadi, S. H., Hossin, M. A., & Sabuj, S. R. (2019). An iot-based dynamic traffic management system in perspective of bangladesh. World Review of Intermodal Transportation Research, 8(4), 391–409.[4] Sabuj, S. R., & Hamamura, M. (2018). Two-slope path-loss design of energy harvesting in random cognitive radio networks. Computer Networks, 142, 128–141.[3] Sabuj, S. R., & Hamamura, M. (2017). Outage and energy-efficiency analysis of cognitive radio networks: A stochastic approach to transmit antenna selection. Pervasive and Mobile Computing, 42, 444–469.[2] Sabuj, S. R., & Hamamura, M. (2017). Uplink modeling of cognitive radio network using stochastic geometry. Performance Evaluation, 117, 1–15.[1] Sabuj, S. R., & Islam, M. S. (2012). Performance analysis of sfbc and data conjugate in mimo-ofdm system over nakagami fading channel. J. Commun., 7(11), 790–794.