Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems
Narrowband Internet of Things (NB-IoT) is one of the low-power wide-area network technologies that aim to support enormous connection, deep coverage, low power consumption, and low cost. Therefore, low cost of implementation and maintenance is one of the key challenges of NB-IoT terminals. This pape...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/16/3024 |
| _version_ | 1797408973406601216 |
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| author | Young-Hwan You Yong-An Jung Sung-Hun Lee Intae Hwang |
| author_facet | Young-Hwan You Yong-An Jung Sung-Hun Lee Intae Hwang |
| author_sort | Young-Hwan You |
| collection | DOAJ |
| description | Narrowband Internet of Things (NB-IoT) is one of the low-power wide-area network technologies that aim to support enormous connection, deep coverage, low power consumption, and low cost. Therefore, low cost of implementation and maintenance is one of the key challenges of NB-IoT terminals. This paper presents a low-complexity formulation for narrowband secondary synchronization signal (NSSS) detection in the NB-IoT system, supported by a coherent algorithm that requires a priori knowledge of the channel. By exploiting a symmetric conjugate feature of the NSSS sequence, a joint physical cell ID and radio frame number detection method with low complexity is proposed for coherent detection. The probability of erroneous detection of the presented NSSS detection method is computed, and the analytical model is verified by means of simulation. Numerical experiments will demonstrate that the proposed detection scheme remarkably reduces the computational complexity with almost the same detection ability compared to the existing detection scheme. |
| first_indexed | 2024-03-09T04:07:35Z |
| format | Article |
| id | doaj.art-3f74772d2b1941708c5c376b113cc7b6 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T04:07:35Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-3f74772d2b1941708c5c376b113cc7b62023-12-03T14:04:01ZengMDPI AGMathematics2227-73902022-08-011016302410.3390/math10163024Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT SystemsYoung-Hwan You0Yong-An Jung1Sung-Hun Lee2Intae Hwang3Department of Computer Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, KoreaICT Convergence Research Division, Intelligent Device Research Center, Gumi Electronics & Information Technology Research Institute (GERI), Gumi 39171, KoreaICT Convergence Research Division, Intelligent Device Research Center, Gumi Electronics & Information Technology Research Institute (GERI), Gumi 39171, KoreaDepartment of Electronic Engineering, Chonnam National University, Yongbong-ro, Buk-gu, Gwangju 61186, KoreaNarrowband Internet of Things (NB-IoT) is one of the low-power wide-area network technologies that aim to support enormous connection, deep coverage, low power consumption, and low cost. Therefore, low cost of implementation and maintenance is one of the key challenges of NB-IoT terminals. This paper presents a low-complexity formulation for narrowband secondary synchronization signal (NSSS) detection in the NB-IoT system, supported by a coherent algorithm that requires a priori knowledge of the channel. By exploiting a symmetric conjugate feature of the NSSS sequence, a joint physical cell ID and radio frame number detection method with low complexity is proposed for coherent detection. The probability of erroneous detection of the presented NSSS detection method is computed, and the analytical model is verified by means of simulation. Numerical experiments will demonstrate that the proposed detection scheme remarkably reduces the computational complexity with almost the same detection ability compared to the existing detection scheme.https://www.mdpi.com/2227-7390/10/16/3024Narrowband Internet of Thingssecondary synchronization signalphysical cell IDradio frame number |
| spellingShingle | Young-Hwan You Yong-An Jung Sung-Hun Lee Intae Hwang Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems Mathematics Narrowband Internet of Things secondary synchronization signal physical cell ID radio frame number |
| title | Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems |
| title_full | Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems |
| title_fullStr | Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems |
| title_full_unstemmed | Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems |
| title_short | Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems |
| title_sort | complexity efficient coherent physical cell identity detection method for cellular iot systems |
| topic | Narrowband Internet of Things secondary synchronization signal physical cell ID radio frame number |
| url | https://www.mdpi.com/2227-7390/10/16/3024 |
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