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Journal articles on the topic 'Narrowband Internet-of-Things'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 June 2025

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1

Miao, Yiming, Wei Li, Daxin Tian, M. Shamim Hossain, and Mohammed F. Alhamid. "Narrowband Internet of Things: Simulation and Modeling." IEEE Internet of Things Journal 5, no. 4 (2018): 2304–14. http://dx.doi.org/10.1109/jiot.2017.2739181.

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2

Chen, Jiming, Kang Hu, Qi Wang, Yuyi Sun, Zhiguo Shi, and Shibo He. "Narrowband Internet of Things: Implementations and Applications." IEEE Internet of Things Journal 4, no. 6 (2017): 2309–14. http://dx.doi.org/10.1109/jiot.2017.2764475.

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3

Rastogi, Eshita, Navrati Saxena, Abhishek Roy, and Dong Ryeol Shin. "Narrowband Internet of Things: A Comprehensive Study." Computer Networks 173 (May 2020): 107209. http://dx.doi.org/10.1016/j.comnet.2020.107209.

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4

You, Young-Hwan. "Reduced Complexity Detection of Narrowband Secondary Synchronization Signal for NB-IoT Communication Systems." Symmetry 12, no. 8 (2020): 1342. http://dx.doi.org/10.3390/sym12081342.

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Narrowband Internet of Things is one of the most promising technologies to support low cost, massive connection, deep coverage, and low power consumption. In this paper, a computationally efficient narrowband secondary synchronization signal detection method is proposed in the narrowband Internet of Things system. By decoupling the detection of complementary sequence and Zadoff–Chu sequence that make up the synchronization signal sequence, the search space of narrowband secondary synchronization signal hypotheses is reduced. Such a design strategy along with the use of the symmetric property of synchronization signals allows reduced-complexity synchronization signal detection in the narrowband Internet of Things system. Both theoretical and simulation results are provided to verify the usefulness of the proposed detector. It is shown via simulation results that the complexity of the proposed detection method is significantly reduced while producing some performance degradation, compared to the conventional detection method.

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5

Khader, Ammar Abdul-Hamed, and Zozan Azeez Ayoub. "Cognitive Radio and Internet of Things." European Journal of Engineering and Technology Research 5, no. 8 (2020): 899–903. http://dx.doi.org/10.24018/ejeng.2020.5.8.2012.

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Cognitive Radio (CR) and Internet of Things (IoT) is an effective step into the smart technology world. Several frameworks are proposed to build CR and IoT. The phases of the interconnection between IoT and CR is; spectrum sensing, spectrum sharing, and spectrum management. This paper presents a survey of CR based IoT and mentions some previous works. It highlights with details the spectrum sensing stage for both narrowband and wideband.

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Wang, Y. P. Eric, Xingqin Lin, Ansuman Adhikary, et al. "A Primer on 3GPP Narrowband Internet of Things." IEEE Communications Magazine 55, no. 3 (2017): 117–23. http://dx.doi.org/10.1109/mcom.2017.1600510cm.

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7

Liberg, Olof, Stefan Eriksson Lowenmark, Sebastian Euler, et al. "Narrowband Internet of Things for Non-Terrestrial Networks." IEEE Communications Standards Magazine 4, no. 4 (2020): 49–55. http://dx.doi.org/10.1109/mcomstd.001.2000004.

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8

Khader, Ammar Abdul-Hamed, and Zozan Azeez Ayoub. "The Cognitive Radio and Internet of Things." European Journal of Engineering Research and Science 5, no. 8 (2020): 899–903. http://dx.doi.org/10.24018/ejers.2020.5.8.2012.

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Cognitive Radio (CR) and Internet of Things (IoT) is an effective step into the smart technology world. Several frameworks are proposed to build CR and IoT. The phases of the interconnection between IoT and CR is; spectrum sensing, spectrum sharing, and spectrum management. This paper presents a survey of CR based IoT and mentions some previous works. It highlights with details the spectrum sensing stage for both narrowband and wideband.

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9

Abdollahi, Ali, Shohreh Behnam Arzandeh, and Mohsen Sheibani. "Privacy and safety of narrowband internet of things devices." TELKOMNIKA (Telecommunication Computing Electronics and Control) 22, no. 4 (2024): 969. http://dx.doi.org/10.12928/telkomnika.v22i4.26279.

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10

Al-Rubaye, Saba, Jonathan Rodriguez, Luca Zanotti Fragonara, Paul Theron, and Antonios Tsourdos. "Unleash Narrowband Technologies for Industrial Internet of Things Services." IEEE Network 33, no. 4 (2019): 16–22. http://dx.doi.org/10.1109/mnet.2019.1800414.

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11

Li, Yanjun, Kaikai Chi, Honglong Chen, Zhibo Wang, and Yihua Zhu. "Narrowband Internet of Things Systems With Opportunistic D2D Communication." IEEE Internet of Things Journal 5, no. 3 (2018): 1474–84. http://dx.doi.org/10.1109/jiot.2017.2782323.

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12

Xu, Jun, Junmei Yao, Lu Wang, Zhong Ming, Kaishun Wu, and Lei Chen. "Narrowband Internet of Things: Evolutions, Technologies, and Open Issues." IEEE Internet of Things Journal 5, no. 3 (2018): 1449–62. http://dx.doi.org/10.1109/jiot.2017.2783374.

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13

Hamarsheh, Qadri, Omar Daoud, Mohammed Baniyounis, and Ahlam Damati. "Narrowband Internet-of-Things to Enhance the Vehicular Communications Performance." Future Internet 15, no. 1 (2022): 16. http://dx.doi.org/10.3390/fi15010016.

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The interest in vehicle-to-vehicle communication has gained a high demand in the last decade. This is due to the need for safe and robust smart communication, while this type of communication is vulnerable to latency and power. Therefore, this work proposes the Narrowband Internet-of-Things to enhance the robustness of the vehicular communication system. Accordingly, the system’s QoS is enhanced. This enhancement is based on proposing two parts to cover the latency and the harmonics issues, in addition to proposing a distributed antenna configuration for the moving vehicles under a machine learning benchmark, which uses the across-entropy algorithm. The proposed environment has been simulated and compared to the state-of-the-art work performance. The simulation results verify the proposed work performance based on three different parameters; namely the latency, the mean squared error rate, and the transmitted signal block error rate. From these results, the proposed work outperforms the literature; at the probability of 10−3, the proposed work reduces the peak power deficiency by almost 49%, an extra 23.5% enhancement has been attained from the self-interference cancellation side, and a bit error rate enhancement by a ratio of 31%.

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14

Daraghma, Raed S. M. "Evaluating Narrowband Internet of Things Suitability for Wireless Sensor Networks." International Review on Modelling and Simulations (IREMOS) 16, no. 5 (2023): 345. http://dx.doi.org/10.15866/iremos.v16i5.22754.

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15

Kurniawan, Denny, Muhammad Ashar, and Harits Ar Rosyid. "Hybrid NarrowBand-internet of things protocol for real time data optimization." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2827. http://dx.doi.org/10.11591/ijece.v13i3.pp2827-2836.

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The level of dependence on data communication in the modern era is increasing exponentially. The internet of things (IoT) plays a very important role in the advancement of the industrial revolution 4.0 that utilizes data communication systems. IoT deployments require data communication protocols, such as hypertext transfer protocol (HTTP), and message queuing telemetry transport (MQTT) as well as network communication protocols (wireless) to meet the network needs of devices with limited resources. Optimization of data communication in IoT is needed to maintain the quality of sending and receiving data in real time. This research proposes a hybrid NarrowBand-IoT (NB-IoT) protocol designed using NarrowBand communication network technology with optimization of data communication using MQTT and HTTP protocols. In this research, the hybrid NB-IoT protocol has the best packet loss value of 0.010% against the HTTP NB-IoT protocol which has a value of 0.017%, and the MQTT NB-IoT protocol of 0.024%. The hybrid NB-IoT protocol has a latency value of 8.7 seconds compared to the HTTP NB-IoT protocol which has a latency of 10.9 seconds. Meanwhile, the throughput value of the hybrid NB-IoT protocol is 158906.1 byte/s and is better than the MQTT NB-IoT protocol which is only 158898.6 bytes/s.

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16

Yu, Changsheng, Li Yu, Yuan Wu, Yanfei He, and Qun Lu. "Uplink Scheduling and Link Adaptation for Narrowband Internet of Things Systems." IEEE Access 5 (2017): 1724–34. http://dx.doi.org/10.1109/access.2017.2664418.

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17

Xu, Shaoyi, Yang Liu, and Weiliang Zhang. "Grouping-Based Discontinuous Reception for Massive Narrowband Internet of Things Systems." IEEE Internet of Things Journal 5, no. 3 (2018): 1561–71. http://dx.doi.org/10.1109/jiot.2018.2789679.

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18

Routray, Sudhir K., and Sasmita Mohanty. "Narrowband IoT." International Journal of Hyperconnectivity and the Internet of Things 8, no. 1 (2024): 1–13. http://dx.doi.org/10.4018/ijhiot.336856.

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Narrowband Internet of things (NBIoT) is a low energy and low resource consuming version of IoT. As its name suggests, it needs a narrow bandwidth for its operations. Its energy consumption is also very low, and thus it is suitable for low energy applications. It is compatible with all types of cellular communication infrastructure such as 2G, 3G, 4G and 5G. It is also possible to deploy NBIoT in the standalone mode where cellular networks are not available. It can cover a large area with a very small amount of power. So, it is a popular low power wide area (LPWA) technology. Due to its LPWA features, it is popular for the connected living applications at home and workplace surroundings. Its LPWA features make it a popular green technology for digital transformation. In this article, the authors provide the main characteristics of NBIoT, its standards, its potentials, and applications in different domains.

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19

Li, Yu, Shuo Chen, Wenqiang Ye, and Fujiang Lin. "A Joint Low-Power Cell Search and Frequency Tracking Scheme in NB-IoT Systems for Green Internet of Things." Sensors 18, no. 10 (2018): 3274. http://dx.doi.org/10.3390/s18103274.

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As a dedicated communication protocol for Internet-of-Things, narrowband internet of things (NB-IoT) needs to establish the communication link rapidly and reduce retransmissions as much as possible to achieve low power consumption and stable performance. To achieve these targets, the low-power scheme of the initial cell search and frequency tracking is investigated in this paper. The cell search process can be subdivided into narrowband primary synchronization signal (NPSS) detection and narrowband secondary synchronization signal (NSSS) detection. We present an NPSS detection method whose timing metric is composed of symbol-wise autocorrelation and a dedicated normalization factor. After the detection of NPSS, the symbol timing and fractional frequency offset estimation is implemented in a resource-efficient way. NSSS detection is conducted in the frequency domain with a calculation-reduced algorithm based on the features of NSSS sequences. To compensate the accumulated frequency offset during uplink transmission, a pilot-aided rapid frequency tracking algorithm is proposed. The simulation results of the proposed cell search scheme are outstanding in both normal coverage and extended coverage NB-IoT scenarios, and the accumulated frequency offset can be estimated with high efficiency.

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20

Daudov, Kh A., A. M. Patrusova, and V. V. Nadrshin. "Analysis of narrowband data transfer technologies on the Internet of Things (IoT)." IOP Conference Series: Materials Science and Engineering 1111, no. 1 (2021): 012016. http://dx.doi.org/10.1088/1757-899x/1111/1/012016.

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21

Kousias, Konstantinos, Giuseppe Caso, Ozgu Alay, et al. "Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild." IEEE Communications Magazine 58, no. 9 (2020): 39–45. http://dx.doi.org/10.1109/mcom.001.2000131.

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22

Sun, Yuyi, Fei Tong, Zhikun Zhang, and Shibo He. "Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things." IEEE Internet of Things Journal 5, no. 3 (2018): 1485–93. http://dx.doi.org/10.1109/jiot.2017.2782318.

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23

Rasveen, N. A., Shilpy Agrawal, and Khyati Chopra. "Narrowband internet of things: performance analysis of coverage enhancement in uplink transmission." International Journal of Wireless and Mobile Computing 23, no. 3/4 (2022): 220. http://dx.doi.org/10.1504/ijwmc.2022.127583.

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24

Chopra, Khyati, Shilpy Agrawal, and N. A. Rasveen. "Narrowband internet of things: performance analysis of coverage enhancement in uplink transmission." International Journal of Wireless and Mobile Computing 23, no. 3/4 (2022): 220. http://dx.doi.org/10.1504/ijwmc.2022.10052538.

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25

Jewel, Md Khalid Hossain, Rabiu Sale Zakariyya, and Fujiang Lin. "On Channel Estimation in LTE-Based Downlink Narrowband Internet of Things Systems." Electronics 10, no. 11 (2021): 1246. http://dx.doi.org/10.3390/electronics10111246.

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Narrowband Internet of Things (NB-IoT) systems were specified by 3GPP in release 13 as a low power wide area network (LPWAN) technology to operate with a very narrow bandwidth of 180 kHz only. Due to fragile radio signal operating conditions (where a signal is weaker than noise), NB-IoT channel status becomes highly complex. Therefore, an effective and low complexity channel estimation will perform a significant role in the receiver operation. The linear minimum mean square error (LMMSE) scheme is very effective in estimating the channel but introduces massive complexity because of having complex matrix inversion. In this paper, we first derive the analytical model of the signal for long-term evolution (LTE)-based NB-IoT downlink systems and propose a reduced complexity LMMSE channel estimation for the downlink NB-IoT systems by applying singular value decomposition (SVD) technique along with partitioning the whole channel matrix into small submatrices. Furthermore, we apply the overlap banded technique to optimize the performance of the proposed channel estimator. As a result of exploiting several submatrices instead of a larger channel matrix, the operational complexity is significantly optimized. Lastly, we propose a polyphase filter structure for implementing the interpolation procedure instead of the conventional interpolation method to further optimize the performance and complexity of the proposed channel estimator further. The performance of the proposed technique has been justified by the mean square error (MSE), bit error rate (BER), and instantaneous throughput for the related signal-to-noise ratio (SNR). The system complexity is verified by the number of complex multiplications used. Simulation evaluations indicate that with the sacrifice of negligible performance, the proposed modified LMMSE technique along with the proposed interpolation possesses a good balance between the performance and the system complexity that could help the proposed techniques to be applied successfully in the low complexity NB-IoT systems.

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26

Althobaiti, Ohood Saud, and Mischa Dohler. "Narrowband-Internet of Things Device-to-Device Simulation: An Open-Sourced Framework." Sensors 21, no. 5 (2021): 1824. http://dx.doi.org/10.3390/s21051824.

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Narrowband-Internet of Things (NB-IoT) displays high-quality connectivity underpinned by fifth-generation (5G) networks to cover a wide array of IoT applications. The devices’ development and integration into different smart systems require permanent control, supervision, and the study of power consumption models to determine the performance of the network topology and allow for the measurement of the efficiency of the network topology’s application. This paper reports on an architecture and open-sourced simulation that was developed to study NB-IoT in Device-to-Device (D2D) mode, which includes the Physical (PHY), network, and application layers, as well as a queuing model, the model for uplink and downlink delays, the throughput, the overall NB-IoT D2D network performance, and the energy consumption based on the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Our results prove that the suggested framework contributes to a reduction in power consumption, a minimization of queuing delays, a decrease in communication cost, a reduction in inter-cluster collisions, and the prevention of attacks from malicious nodes. Consequently, the framework manages the battery’s State of Charge (SOC), improves the battery’s State of Health (SOH), and maximizes the whole network lifetime. The proposed framework, the code of which has been open-sourced, can be effectively used for scientific research and development purposes to evaluate different parameters and improve the planning of NB-IoT networks.

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27

Sultana, Nahar, Farhana Huq, Md Abdur Razzaque, and Md Mustafizur Rahman. "User Utility Maximization in Narrowband Internet of Things for Prioritized Healthcare Applications." Sensors 22, no. 3 (2022): 1192. http://dx.doi.org/10.3390/s22031192.

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Narrowband Internet of Things (NB-IoT) is a promising technology for healthcare applications since it reduces the latency necessary in acquiring healthcare data from patients, as well as handling remote patients. Due to the interference, limited bandwidth, and heterogeneity of generated data packets, developing a data transmission framework that offers differentiated Quality of Services (QoS) to the critical and non-critical data packets is challenging. The existing literature studies suffer from insufficient access scheduling considering heterogeneous data packets and relationship among them in healthcare applications. In this paper, we develop an optimal resource allocation framework for NB-IoT that maximizes a user’s utility through event prioritization, rate enhancement, and interference mitigation. The proposed Priority Aware Utility Maximization (PAUM) system also ensures weighted fair access to resources. The suggested system outperforms the state-of-the-art works significantly in terms of utility, delay, and fair resource distribution, according to the findings of the performance analysis performed in NS-3.

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28

Huang, Chih-Wei, Sheng-Chia Tseng, Phone Lin, and Yuichi Kawamoto. "Radio Resource Scheduling for Narrowband Internet of Things Systems: A Performance Study." IEEE Network 33, no. 3 (2019): 108–15. http://dx.doi.org/10.1109/mnet.2018.1700386.

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29

Li, Yuke, Xiang Cheng, Yang Cao, Dexin Wang, and Liuqing Yang. "Smart Choice for the Smart Grid: Narrowband Internet of Things (NB-IoT)." IEEE Internet of Things Journal 5, no. 3 (2018): 1505–15. http://dx.doi.org/10.1109/jiot.2017.2781251.

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30

Staniec, Kamil, and Michał Kowal. "On Vulnerability of Selected IoT Systems to Radio Jamming—A Proposal of Deployment Practices." Sensors 20, no. 21 (2020): 6152. http://dx.doi.org/10.3390/s20216152.

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Weightless and SigFox are both narrowband communication systems designed for the Internet of Things, along with some other counterparts such as LoRa (Long Range) and narrowband Internet of Things (NB-IoT). As systems dedicated specifically for long-range operations, they possess considerable processing gain for energetic link budget improvement and a remarkable immunity to interference. The paper describes outcomes of a measurement campaign during which the Weightless and SigFox performance was tested against variable interference, generated in an anechoic chamber. Results allow the quantitative appraisal of the system behavior under these harsh conditions with respect to different operational modes of the two investigated IoT systems. The outcomes are then investigated with respect to an intentional radio jammer attempting to block a base station (BS) operation by directly radiating an interfering signal towards it. An Interference Margin is proposed for a quantitative expression of a system’s resilience to jamming. This margin, calculated for all available configuration settings, allows the clear assessment of which combination of a system’s operational parameters does and which does not provide immunity to this type of radio attack.

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31

Rasveen, N. A., Khyati Chopra, and Sandeep Kumar. "Narrowband internet of things: analysis of frame structure, NPSS sequence generation and detection." International Journal of Systems, Control and Communications 13, no. 1 (2022): 67. http://dx.doi.org/10.1504/ijscc.2022.119711.

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32

N.A., Rasveen, Sandeep Kumar, and Khyati Chopra. "Narrowband internet of things: analysis of frame structure, NPSS sequence generation and detection." International Journal of Systems, Control and Communications 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijscc.2021.10038991.

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33

Metwaly, Samar, Ahmed Abd El-Haleem, and Osama El-Ghandour. "NOMA Based Matching Game Algorithm for Narrowband Internet of Things (NB-IoT) System." Ingénierie des systèmes d information 25, no. 3 (2020): 345–50. http://dx.doi.org/10.18280/isi.250308.

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34

Yang, Wenjie, Mao Wang, Jingjing Zhang, et al. "Narrowband Wireless Access for Low-Power Massive Internet of Things: A Bandwidth Perspective." IEEE Wireless Communications 24, no. 3 (2017): 138–45. http://dx.doi.org/10.1109/mwc.2017.1600298.

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35

Zhang, Lei, Ayesha Ijaz, Pei Xiao, and Rahim Tafazolli. "Channel Equalization and Interference Analysis for Uplink Narrowband Internet of Things (NB-IoT)." IEEE Communications Letters 21, no. 10 (2017): 2206–9. http://dx.doi.org/10.1109/lcomm.2017.2705710.

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36

Ali, Md Sadek, Md Khalid Hossain Jewel, Yu Li, and Fujiang Lin. "Frequency-domain channel equalisation for LTE-based uplink narrowband Internet of Things systems." IET Communications 13, no. 3 (2019): 281–88. http://dx.doi.org/10.1049/iet-com.2018.5119.

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37

Liu, Zhanheng, Leimeng Yang, Hongtao Liu, and Yong Luo. "Active Metamaterial Antenna with Tunable Zeroth-Order Resonances for Narrowband Internet of Things." Electronics 12, no. 18 (2023): 3827. http://dx.doi.org/10.3390/electronics12183827.

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With unique electromagnetic properties, metamaterials (MTMs) provide more freedom for antenna design, particularly with the combination of active-device-enabling effective tuning. By integrating the active device and the periodical cells of MTMs, the electromagnetic characteristics of individual cells can be manipulated independently, thereby realizing multiple tunable states for MTM antennas consisting of several periodical cells. In this paper, we employ active devices such as PIN diodes to each periodical cell to tune each cell independently, thereby realizing 36 tunable zeroth-order resonances (ZORs) for the metamaterial antenna with three cells in a frequency range of 4.48–5.34 GHz. Moreover, each ZOR has a bandwidth as narrow as 0.09 GHz, indicating that the tunable ZOR antenna can be potentially applied to 5G Narrowband Internet of Things (NB-IoT).

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38

Liu, Shiyan, and Yu Hu. "Intelligent Development of Tourism Resources Based on Internet of Things and 5G Technology." Advances in Multimedia 2022 (September 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/2202414.

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In order to improve the effect of intelligent development of tourism resources, this paper combines the Internet of Things technology and 5G technology to carry out intelligent development of tourism resources to improve the recommendation effect of modern tourism resources. Meanwhile, this paper analyzes the basic knowledge of array signal DOA estimation to get the definition of narrowband signal. Simultaneously, this paper proposes a subspace-based DOA estimation algorithm based on the actual needs of tourism resource management, and uses the observed array data to construct a covariance matrix. Then, this paper decomposes the covariance matrix, and then performs DOA estimation. In addition, this paper constructs an intelligent development system of tourism resources based on the Internet of Things and 5G technology. It can be seen from the experimental research that the intelligent development system of tourism resources based on the Internet of Things and 5G technology proposed in this paper has good tourism resource management and development effects.

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39

Denny, Kurniawan, Ashar Muhammad, and Ar Rosyid Harits. "10.11591/ijece.v13i3.pp2827-2836." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2827–36. https://doi.org/10.11591/ijece.v13i3.pp2827-2836.

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The level of dependence on data communication in the modern era is increasing exponentially. The internet of things (IoT) plays a very important role in the advancement of the industrial revolution 4.0 that utilizes data communication systems. IoT deployments require data communication protocols, such as hypertext transfer protocol (HTTP), and message queuing telemetry transport (MQTT) as well as network communication protocols (wireless) to meet the network needs of devices with limited resources. Optimization of data communication in IoT is needed to maintain the quality of sending and receiving data in real time. This research proposes a hybrid NarrowBand-IoT (NB-IoT) protocol designed using NarrowBand communication network technology with optimization of data communication using MQTT and HTTP protocols. In this research, the hybrid NB-IoT protocol has the best packet loss value of 0.010% against the HTTP NB-IoT protocol which has a value of 0.017%, and the MQTT NB-IoT protocol of 0.024%. The hybrid NB-IoT protocol has a latency value of 8.7 seconds compared to the HTTP NB-IoT protocol which has a latency of 10.9 seconds. Meanwhile, the throughput value of the hybrid NB-IoT protocol is 158906.1 byte/s and is better than the MQTT NB-IoT protocol which is only 158898.6 bytes/s.

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40

Mohamed, Basma H., Ahmed Taha, Ahmed Shawky, et al. "Design of the Baseband Physical Layer of NarrowBand IoT LTE Uplink Digital Transmitter." Journal of Circuits, Systems and Computers 29, no. 07 (2019): 2050111. http://dx.doi.org/10.1142/s021812662050111x.

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With the new age of technology and the release of the Internet of Things (IoT) revolution, there is a need to connect a wide range of devices with varying throughput and performance requirements. In this paper, a digital transmitter of NarrowBand Internet of Things (NB-IoT) is proposed targeting very low power and delay-insensitive IoT applications with low throughput requirements. NB-IoT is a new cellular technology introduced by 3GPP in release 13 to provide wide-area coverage for the IoT. The low-cost receivers for such devices should have very low complexity, consume low power and hence run for several years. In this paper, the implementation of the data path chain of digital uplink transmitter is presented. The standard specifications are studied carefully to determine the required design parameters for each block. And the design is synthesized in UMC 130-nm technology.

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41

Dawood, Tammam Zuhair, Mikhail Sergeevich Stepanov, Matvey Kudashkin, Arina Shaimardanova, and Petr Lapko. "The Impact of Impulsive Traffic on Cellular Internet of Things Network Performance Indicators." Sensors 24, no. 1 (2023): 46. http://dx.doi.org/10.3390/s24010046.

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The use of wireless sensor networks and the Internet of Things has increased dramatically in the last decade. The sensors measure the required parameters and send them to the data processing centers using one of the various wireless transmission technologies (often using cellular infrastructure) to make the appropriate decision. Files containing measurement information can arrive in bursts simultaneously, which is a critical issue to be aware of. The purpose of this work is to develop and analyze a model to evaluate the effectiveness of an LTE (Long-Term Evolution) cell in serving requests from NB-IoT (Narrowband Internet of things) devices when these requests are received in bursts rather than individually. In the article, the common uses of the Internet of Things in our modern era were discussed, the NB-IoT technology was paid attention to, and a mathematical model to evaluate the performance of an LTE cell in the case of impulsive arrivals of NB-IoT requests was built. Finally, the computational algorithm and numerical evaluation were introduced.

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42

Jin, Guoxing, Kai Bai, Yixian Zhang, and Han He. "A Smart Water Metering System Based on Image Recognition and Narrowband Internet of Things." Revue d'Intelligence Artificielle 33, no. 4 (2019): 293–98. http://dx.doi.org/10.18280/ria.330405.

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43

Popli, Sakshi, Rakesh Kumar Jha, and Sanjeev Jain. "A Survey on Energy Efficient Narrowband Internet of Things (NBIoT): Architecture, Application and Challenges." IEEE Access 7 (2019): 16739–76. http://dx.doi.org/10.1109/access.2018.2881533.

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Feng, Du, and Jia Hongli. "Research on Communication Network Security Based on Narrowband Internet of Things and Encryption Algorithms." Journal of Big Data and Computing 2, no. 2 (2024): 112–19. http://dx.doi.org/10.62517/jbdc.202401215.

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With the rapid development of Internet of Things (IoT) technology, Narrowband IoT (NB-IoT) has been widely adopted in smart cities, smart homes, and industrial automation due to its low power consumption, wide coverage, low cost, and high reliability. However, the associated security issues have become a critical factor hindering its further development. This paper aims to explore the security challenges in NB-IoT communication networks using encryption algorithms. Through theoretical analysis and model construction, a comprehensive security solution is proposed. Initially, the paper reviews the fundamental principles and application scenarios of NB-IoT, analyzing the current challenges in network security, including data leakage, device tampering, and man-in-the-middle attacks. Subsequently, a security framework based on lightweight encryption algorithms is introduced, leveraging the strengths of both symmetric and asymmetric encryption to ensure security while reducing computational and communication overheads. Additionally, the application of blockchain technology in NB-IoT security is discussed, enhancing data credibility and system resilience against attacks through its decentralized nature. Theoretical derivations and simulation analyses confirm the effectiveness and feasibility of the proposed security framework. The results demonstrate that this framework significantly enhances the security performance of NB-IoT networks, providing theoretical support and practical guidance for the secure development of IoT.

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Ning, Zhaolong, Xiaojie Wang, Xiangjie Kong, and Weigang Hou. "A Social-Aware Group Formation Framework for Information Diffusion in Narrowband Internet of Things." IEEE Internet of Things Journal 5, no. 3 (2018): 1527–38. http://dx.doi.org/10.1109/jiot.2017.2777480.

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Ar-Reyouchi, El Miloud, Imane Maslouhi, and Kamal Ghoumid. "A new fast polling algorithm in wireless mesh network for narrowband Internet of Things." Telecommunication Systems 74, no. 3 (2020): 405–10. http://dx.doi.org/10.1007/s11235-020-00671-z.

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Fan, Linxiu. "Usage of Narrowband Internet of Things in Smart Medicine and Construction of Robotic Rehabilitation System." IEEE Access 10 (2022): 6246–59. http://dx.doi.org/10.1109/access.2021.3136347.

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Ali, Md Sadek, Yu Li, Md Khalid Hossain Jewel, Oluwole John Famoriji, and Fujiang Lin. "Channel Estimation and Peak-to-Average Power Ratio Analysis of Narrowband Internet of Things Uplink Systems." Wireless Communications and Mobile Computing 2018 (July 5, 2018): 1–15. http://dx.doi.org/10.1155/2018/2570165.

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Narrowband Internet of Things (NB-IoT) is a cellular based promising low-power wide-area network (LPWN) technology standardized by the 3rd Generation Partnership Project (3GPP) in release-13 as a part of the future 5th Generation (5G) wireless communication systems. The main design target of NB-IoT was to enhance radio coverage by repeating signal over an additional period of time for the ultralow-end IoT devices that would be operated in extreme coverage environments. But the power efficiency of the low-cost NB-IoT user equipment (NB-IoT UE) in the uplink is the major concern. Coverage improvement from signal repetitions depends on the channel estimation quality at extremely bad radio conditions. The typical operating signal-to-noise ratio (SNR) for NB-IoT is expected to be much lower than the zero. In this paper, we have proposed two efficient narrowband demodulation reference signal (NDMRS)-assisted channel estimation algorithms based on the conventional least squares (LS) and minimum mean square error (MMSE) estimation methods. The theoretical analysis and the link-level performance of our proposed estimation methods are presented. Simulation results exhibit that the proposed methods provide better estimation precision compared to the traditional LS and MMSE methods at the low SNR situations. Furthermore, we have analyzed the raised-cosine (RC) and square-root-raised cosine (RRC) pulse shaping to reduce peak-to-average power ratio (PAPR) as an uplink transmit filter. The PAPR values are evaluated through extensive computer simulations for both single-tone and multi-tone transmissions. Our evaluation results vindicate that the RRC pulse shaping with lower PAPR values is feasible to design of practical NB-IoT uplink transmitter and increases power efficiency.

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Lee, Gun-Ho, and Eui-Rim Jeong. "Split Channel Two-Tone On-Off Keying for Internet of Things Communication in Fading Channel." Journal of Computational and Theoretical Nanoscience 17, no. 7 (2020): 3207–11. http://dx.doi.org/10.1166/jctn.2020.9162.

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In medical treatment, healthcare and home appliances, the demand for Internet of Things (IoT) services is increasing in urban areas. However, in fading environments of urban area, the existing IoT communication system can degrade severely. The purpose of this paper is to develop a new IoT communication technology that improves communication performance in fading channels. IoT communication systems are aiming at low power long distances. In addition, the amount of data transmission is small due to the service requirements. To achieve this goal, existing IoT communication modems are designed with narrowband signals. However, narrowband signals may cause performance degradation in a frequency selective fading channel environments in urban area. In this paper, we propose a split channel two tone OOK (SC-TT-OOK) that implements on-off keying (OOK) using two tones. Unlike the existing OOK by using one tone, SC-TT-OOK uses spaced two tones to improve communication performance in fading channels. The conventional OOK method has a similar characteristic to that of the existing IoT modems with a narrow bandwidth spectrum. The proposed SC-TT-OOK is OOK using two separated tones. Since the proposed modulation uses two tones, it requires twice the frequency resources of the conventional OOK. However, if the frequencies of the two tones are sufficiently spaced apart, frequency diversity gain can be achieved in the frequency selective fading channels, and communication reliability can be improved in urban environments. The proposed SC-TT-OOK is examined through computer simulation. The simulation results show that the proposed scheme outperforms the conventional scheme in the frequency selective fading channel. Therefore, the proposed method can be used as an alternative technique for IoT modem in urban environments.

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Kim, Sunkyung, Wonjung Cha, Jaewoo So, Minsoo Na, and Changsoon Choi. "Performance Evaluation of Semi-Persistent Scheduling in a Narrowband LTE System for Internet of Things." Journal of Korean Institute of Communications and Information Sciences 41, no. 9 (2016): 1001–9. http://dx.doi.org/10.7840/kics.2016.41.9.1001.

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