Based on the Terminal Feedback PUR

Main Article Content

X. Q. Chen

Abstract

This paper proposes a terminal-feedback-based pre-authorized uplink resource (PUR) scheduling scheme for NB-IoT systems to improve uplink radio resource utilization under massive machine-type communication scenarios. In the proposed approach, terminals provide lightweight feedback indicating the actual usage of allocated PUR resources, enabling the base station to promptly identify unused uplink grants and reclaim idle resources for subsequent scheduling. This mechanism reduces resource waste caused by empty packet transmissions and improves scheduling flexibility under dynamic traffic conditions. Furthermore, the proposed framework exploits the long-term channel stability of PUR terminals to support MU-MIMO transmission, thereby enhancing spectrum utilization and uplink capacity. Analytical modeling and simulation results demonstrate that the proposed method maintains high resource efficiency even under elevated empty-packet-rate conditions, where conventional PUR mechanisms suffer significant performance degradation. The scheme also enables more flexible resource reuse while introducing only limited signaling and power-consumption overhead. The results confirm that the proposed terminal-feedback strategy effectively improves uplink scheduling efficiency and spectrum utilization, providing a practical solution for large-scale NB-IoT deployments and industrial wireless communication systems.

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How to Cite
Chen, X. Q. (2026). Based on the Terminal Feedback PUR. Advanced Electromagnetics, 15(3), 2263–2271. https://doi.org/10.7716/aem.v15i3.3279
Section
Research Articles

References

C. Perera, C. H. Liu, and S. Jayawardena, “The emerging internet of things marketplace from an industrial perspective: A survey,” IEEE transactions on emerging topics in computing, vol. 3, no. 4, pp. 585-598, 2015, doi: 10.1109/TETC.2015.2390034.

View Article

S. Mumtaz, A. Alsohaily, Z. Pang, M. Rayes, K. Tsang, and J. Rodriguez, “Massive Internet of Things for Industrial Applications: Addressing Wireless IIoT Connectivity Challenges and Ecosystem Fragmentation,” IEEE Industrial Electronics Magazine, vol. 11, pp. 28-33, 2017, doi: 10.1109/MIE.2016.2618724.

View Article

A. Andreou, C. X. Mavromoustakis, E. Markakis, A. Bourdena, and G. Mastorakis, “Enhancing Healthcare Data Confidentiality Through Fragmentation Techniques Within Cloud-Enabled Intelligent IoT Security and Privacy Frameworks,” International Symposium on Distributed Computing and Artificial Intelligence. Cham, Switzerland: Springer; 2025, doi: 10.1007/978-3-031-76459-2_27.

View Article

C. H. Liu, J. Fan, J. W. Branch, and K. K. Leung, “Toward QoI and Energy-Efficiency in Internet-of-Things Sensory Environments,” IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 4, pp. 473-487, 2014, doi: 10.1109/TETC.2014.2364915.

View Article

3GPP, “Feasibility Study on New Services and Markets Technology Enablers for Critical Communications,” Stage, pp. 1, 2016, [Online]. Available: https://itecspec.com/archive/3gpp-specification-tr-22-863/.

View Article

P. Schulz, M. Matthe, H. Klessig, M. Simsek, G. Fettweis, J. Ansari, et al., “Latency Critical IoT Applications in 5G: Perspective on the Design of Radio Interface and Network Architecture,” IEEE Communications Magazine, vol. 55, no. 2, pp. 70-78, 2017, doi: 10.1109/MCOM.2017.1600435CM.

View Article

C. Bockelmann, N. Pratas, H. Nikopour, K. Au, T. Svensson, C. Stefanovic, et al., “Massive machine-type communications in 5g: physical and MAC-layer solutions,” IEEE Communications Magazine, vol. 54, no. 9, pp. 59-65, 2016, doi: 10.1109/MCOM.2016.7565189.

View Article

I. M. T. Vision Framework and Overall Objectives of the Future Development of IMT for 2020 and Beyond and M. ITU-R Recommendation, “2015; 21,”, [Online]. Available: https://www.itu.int/dms_pubrec/itu-r/rec/m/R-REC-M.2083-0-201509-I!!PDF-E.pdf.

View Article

P. Popovski, J. J. Nielsen, C. Stefanovic, Carvalho Ed, E. Strom, K. F. Trillingsgaard, et al., “Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks,” IEEE Network, vol. 32, no. 2, pp. 16-23, 2018, doi: 10.1109/MNET.2018.1700258.

View Article

S. Gbadamosi, G. Hancke, and A. Abu-Mahfouz, “Building upon NB-IoT networks: A roadmap towards 5G new radio networks,” IEEE Access, vol. 8, pp. 188641-188672, 2020, doi: 10.1109/ACCESS.2020.3030653.

View Article

K. Mekki, E. Bajic, F. Chaxel, and F. Meyer, “Overview of Cellular LPWAN Technologies for IoT Deployment: Sigfox, LoRaWAN, and NB-IoT,” Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops); 19-23 March 2018; Athens, Greece; New York, NY, USA: IEEE; 2018. p. 197-202, doi: 10.1109/PERCOMW.2018.8480255.

View Article

M. J. Adamu, L. Qiang, R. S. Zakariyya, C. O. Nyatega, H. B. Kawuwa, and A. Younis, “An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems,” Sensors, vol. 21, no. 16, pp. 5351, 2021, doi: 10.3390/s21165351.

View Article

X. Wu, Q. Cao, and Y. Li, “A research on wireless sensor networks’ node positioning mechanism based on narrowband internet of things data linking,” International Journal of Distributed Sensor Networks, vol. 14, no. 12, Art. no. 1550147718821851, 2018, doi: 10.1177/1550147718821851.

View Article

S. Narayanan, D. Tsolkas, N. Passas, and L. Merakos, “ADAM: An adaptive access mechanism for NB-IoT systems in the 5G era,” IEEE Access, vol. 9, pp. 109915-109931, 2021, doi: 10.1109/ACCESS.2021.3102273.

View Article

R. Boisguene, S. C. Tseng, C. W. Huang, and P. Lin, “A survey on NB-IoT downlink scheduling: Issues and potential solutions,” Proceedings of the 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC); 26-30 June 2017; Valencia, Spain; New York, NY, USA: IEEE; 2017. p. 547-551, doi: 10.1109/IWCMC.2017.7986344.

View Article

R. B. D. Renna and Lamare RCd, “Dynamic Message Scheduling Based on Activity-Aware Residual Belief Propagation for Asynchronous mMTC,” IEEE Wireless Communications Letters, vol. 10, no. 6, pp. 1290-1294, 2021, doi: 10.1109/LWC.2021.3064304.

View Article

X. Bian, Y. Mao, and J. Zhang, “Supporting More Active Users for Massive Access via Data-assisted Activity Detection,” Proceedings of the ICC 2021 - IEEE International Conference on Communications; 14-23 June 2021; Montreal, QC, Canada; New York, NY, USA: IEEE; 2021. p. 14-23, doi: 10.1109/ICC42927.2021.9500797.

View Article

N. H. Huang and T. D. Chiueh, “Sequence Design and User Activity Detection for Uplink Grant-Free NOMA in mMTC Networks,” IEEE Open Journal of the Communications Society, vol. 2, pp. 384-395, 2021, doi: 10.1109/OJCOMS.2021.3056994.

View Article

B. Yu, Y. Cai, and D. Wu, “Joint Access Control and Resource Allocation for Short-Packet-Based mMTC in Status Update Systems,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 3, pp. 851-865, 2021, doi: 10.1109/JSAC.2020.3018801.

View Article

B. Yu, D. Wu, Y. Cai, Y. Wu, and Z. Xiang, “Resource allocation for massive machine type communications in the finite blocklength regime,” China Communications, vol. 18, no. 3, pp. 240-250, 2021, doi: 10.23919/JCC.2021.03.019.

View Article

A. Rajandekar and B. Sikdar, “A survey of MAC layer issues and protocols for machine-to-machine communications,” IEEE Internet of Things Journal, vol. 2, no. 2, pp. 175-186, 2015, doi: 10.1109/JIOT.2015.2394438.

View Article

N. Jiang, Y. Deng, A. Nallanathan, X. Kang, and T. Q. S. Quek, “Analyzing Random Access Collisions in Massive IoT Networks,” IEEE Transactions on Wireless Communications, vol. 17, no. 10, pp. 6853-6870, 2018, doi: 10.1109/TWC.2018.2864756.

View Article

X. Chen, Z. Li, Y. Chen, and X. Wang, “Performance Analysis and Uplink Scheduling for QoS-Aware NB-IoT Networks in Mobile Computing,” IEEE Access, vol. 7, pp. 44404-44415, 2019, doi: 10.1109/ACCESS.2019.2908985.

View Article

A. O. Almagrabi, R. Ali, D. Alghazzawi, A. AlBarakati, and T. Khurshaid, “A Poisson Process-Based Random Access Channel for 5G and Beyond Networks,” Mathematics, vol. 9, no. 5, pp. 508, 2021, doi: 10.3390/math9050508.

View Article

S. Khairy, P. Balaprakash, L. X. Cai, and H. V. Poor, “Data-Driven Random Access Optimization in Multi-Cell IoT Networks Using NOMA,” IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 4938-4953, 2022, doi: 10.1109/TWC.2021.3134949.

View Article

X. Chen, D. W. K. Ng, W. Yu, E. Larsson, N. Al-Dhahir, and R. Schober, “Massive Access for 5G and Beyond,” 2020, doi: 10.1109/JSAC.2020.3019724.

View Article

J. M. Liang, K. R. Wu, J. J. Chen, P. Y. Liu, and Y. C. Tseng, “Energy-Efficient Uplink Resource Units Scheduling for Ultra-Reliable Communications in NB-IoT Networks,” Wireless Communications and Mobile Computing, pp. 1-17, 2018, doi: 10.1155/2018/4079017.

View Article

H. Malik, H. Pervaiz, M. M. Alam, Y. L. Moullec, A. Kuusik, and M. A. Imran, “Radio Resource Management Scheme in NB-IoT Systems,” IEEE Access, vol. 6, pp. 15051-15064, 2018, doi: 10.1109/ACCESS.2018.2812299.

View Article

H. Malik, M. M. Alam, H. Pervaiz, Y. L. Moullec, A. Al-Dulaimi, S. Parand, et al., “Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing,” IEEE Network, vol. 34, no. 1, pp. 144-151, 2020, doi: 10.1109/MNET.001.1900087.

View Article

K. Hussain and R. Gupta, “Method to Minimize Radio Resource Wastage and Battery Consumption in NB-IoT.IEEE,” 2021, doi: 10.1109/WCNC49053.2021.9417315.

View Article

C. W. Huang, S. C. Tseng, P. Lin, and Y. Kawamoto, “Radio Resource Scheduling for Narrowband Internet of Things Systems: A Performance Study,” IEEE Network, vol. 33, no. 3, pp. 108-115, 2019, doi: 10.1109/MNET.2018.1700386.

View Article

O. Elgarhy, L. Reggiani, H. Malik, M. M. Alam, and M. A. Imran, “Rate-Latency Optimization for NB-IoT With Adaptive Resource Unit Configuration in Uplink Transmission,” IEEE Systems Journal, vol. 15, no. 1, pp. 265-276, 2021, doi: 10.1109/JSYST.2020.2991073.

View Article

C. Yu, L. Yu, Y. Wu, Y. He, and Q. Lu, “Uplink Scheduling and Link Adaptation for Narrowband Internet of Things Systems,” IEEE Access, vol. 5, pp. 1724-1734, 2017, doi: 10.1109/ACCESS.2017.2664418.

View Article

L. Feltrin, G. Tsoukaneri, M. Condoluci, C. Buratti, T. Mahmoodi, M. Dohler, et al., “Narrowband IoT: A Survey on Downlink and Uplink Perspectives,” IEEE Wireless Communications, vol. 26, no. 1, pp. 78-86, 2019, doi: 10.1109/MWC.2019.1800020.

View Article

A. Hoglund, G. A. Medina-Acosta, S. N. K. Veedu, O. Liberg, T. Tirronen, E. A. Yavuz, et al., “3GPP Release-16 Preconfigured Uplink Resources for LTE-M and NB-IoT,” IEEE Communications Standards Magazine, vol. 4, no. 2, pp. 50-56, 2020, doi: 10.1109/MCOMSTD.001.2000003.

View Article

C. B. Mwakwata, H. Malik, M. Mahtab Alam, Y. Le Moullec, S. Parand, and S. Mumtaz, “Narrowband Internet of Things (NB-IoT): From Physical (PHY) and Media Access Control (MAC) Layers Perspectives,” Sensors, vol. 19, no. 11, pp. 2613, 2019.

W. Yu, F. Liang, X. He, W. G. Hatcher, C. Lu, J. Lin, et al., “A Survey on the Edge Computing for the Internet of Things,” IEEE Access, vol. 6, pp. 6900-6919, 2018, doi: 10.1109/ACCESS.2017.2778504.

View Article

3GPP TR 36.887, “Study on Machine-Type Communications (MTC) and Other Mobile Data Applications Communications Enhancements,” document GT v12.0.0, 2013, [Online]. Available: https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2631.

View Article

P. R. Manne, S. Ganji, A. Kumar, and K. Kuchi, “Scheduling and Decoding of Downlink Control Channel in 3GPP Narrowband-IoT,” IEEE Access, vol. 8, pp. 175612-175624, 2020, doi: 10.1109/ACCESS.2020.3026077.

View Article

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