Improving NB-IoT performance in weak coverage areas with CBSTO polar coding and LMMSE channel estimation

The Narrowband Internet of Things (NB-IoT) technology is considered as an attractive option for IoT applications due to its ability in offering better connectivity in weak coverage areas. However, current research on NB-IoT systems primarily focuses on improving its distribution network, while negle...

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Published in:	Peer-to-peer networking and applications Vol. 17; no. 4; pp. 2384 - 2396
Main Authors:	Bavani, G, Srinivasan, V. Prasanna, Balasubadra, K., Raj, Velankanni Cyril
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.07.2024 Springer Nature B.V
Subjects:	Algorithms Coding Communications Engineering Computer Communication Networks Data transfer (computers) Data transmission Decoding Design parameters Efficiency Engineering Error correction Error correction & detection Information Systems and Communication Service Internet of Things Narrowband Networks Signal,Image and Speech Processing System reliability Crossover boosted sooty tern optimization Deep neural network Polar coding Bit error rate Channel estimation Reliability Narrowband
ISSN:	1936-6442, 1936-6450
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Abstract	The Narrowband Internet of Things (NB-IoT) technology is considered as an attractive option for IoT applications due to its ability in offering better connectivity in weak coverage areas. However, current research on NB-IoT systems primarily focuses on improving its distribution network, while neglecting the importance of channel condition estimation. To overcome these shortcomings, this article proposes a joint channel coding as well as channel estimation approach that aims to enhance the reliability and efficiency of data transmission over wireless channels. The proposed concatenation technique incorporates both polar coded data transfer and channel estimation procedures, which increases the system's reliability and efficiency even under immoral radio coverage conditions. The system utilizes the crossover boosted sooty tern optimization (CBSTO) based polar coding algorithm to design polar code parameters, resulting in improved error correction performance. Additionally, DNN-based linear minimum mean square error (LMMSE) channel estimations are performed at receiver side to ensure accurate channel equalization and decoding of received data bits. The simulation experiment conducted to validate the proposed NB-IoT system demonstrates its improved error correction performance and high throughput compared to other methods. The proposed scheme could help enhance the efficiency and reliability of NB-IoT systems, particularly in weak coverage areas. This paper highlights the importance of considering channel condition estimation in the development of NB-IoT systems, which could have significant implications for the future of IoT applications.
AbstractList	The Narrowband Internet of Things (NB-IoT) technology is considered as an attractive option for IoT applications due to its ability in offering better connectivity in weak coverage areas. However, current research on NB-IoT systems primarily focuses on improving its distribution network, while neglecting the importance of channel condition estimation. To overcome these shortcomings, this article proposes a joint channel coding as well as channel estimation approach that aims to enhance the reliability and efficiency of data transmission over wireless channels. The proposed concatenation technique incorporates both polar coded data transfer and channel estimation procedures, which increases the system's reliability and efficiency even under immoral radio coverage conditions. The system utilizes the crossover boosted sooty tern optimization (CBSTO) based polar coding algorithm to design polar code parameters, resulting in improved error correction performance. Additionally, DNN-based linear minimum mean square error (LMMSE) channel estimations are performed at receiver side to ensure accurate channel equalization and decoding of received data bits. The simulation experiment conducted to validate the proposed NB-IoT system demonstrates its improved error correction performance and high throughput compared to other methods. The proposed scheme could help enhance the efficiency and reliability of NB-IoT systems, particularly in weak coverage areas. This paper highlights the importance of considering channel condition estimation in the development of NB-IoT systems, which could have significant implications for the future of IoT applications.
Author	Balasubadra, K. Raj, Velankanni Cyril Bavani, G Srinivasan, V. Prasanna
Author_xml	– sequence: 1 givenname: G surname: Bavani fullname: Bavani, G email: bhavani.jayan@gmail.com organization: Department of Electrical and Electronics Engineering, Velammal Institute of Technology – sequence: 2 givenname: V. Prasanna surname: Srinivasan fullname: Srinivasan, V. Prasanna organization: Department of Information Technology, RMD Engineering College – sequence: 3 givenname: K. surname: Balasubadra fullname: Balasubadra, K. organization: Department of Information Technology, RMD Engineering College – sequence: 4 givenname: Velankanni Cyril surname: Raj fullname: Raj, Velankanni Cyril organization: Department of Computer Science and Engineering, Dr.M.G.R. Educational Research Institute
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Cites_doi	10.1016/j.scs.2019.101957 10.1109/TWC.2022.3159807 10.3390/electronics10111246 10.1109/EuCNC.2019.8802011 10.1016/j.compeleceng.2017.06.001 10.1109/ACCESS.2020.3032636 10.1007/s11036-022-01991-x 10.1109/JSAC.2021.3071851 10.1109/ACCESS.2021.3112279 10.1007/s11277-020-07777-2 10.1109/JIOT.2022.3182854 10.1109/TVT.2022.3164902 10.1016/j.engappai.2019.03.021 10.1109/JIOT.2021.3079567 10.1109/ICTA50426.2020.9331962 10.1109/IWS49314.2020.9360009 10.1109/TAES.2022.3185970 10.1109/IEEE-IWS.2019.8804049 10.1109/ACCESS.2019.2899990 10.1109/AFRICON51333.2021.9570868 10.1109/JIOT.2021.3135060 10.1007/978-981-16-3637-0_19
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Title	Improving NB-IoT performance in weak coverage areas with CBSTO polar coding and LMMSE channel estimation
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