An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems
This paper addresses the main crucial aspects of physical (PHY) layer channel coding in uplink NB-IoT systems. In uplink NB-IoT systems, various channel coding algorithms are deployed due to the nature of the adopted Long-Term Evolution (LTE) channel coding which presents a great challenge at the ex...
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MDPI AG
2021-08-01
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| Online Access: | https://www.mdpi.com/1424-8220/21/16/5351 |
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| author | Mohammed Jajere Adamu Li Qiang Rabiu Sale Zakariyya Charles Okanda Nyatega Halima Bello Kawuwa Ayesha Younis |
| author_facet | Mohammed Jajere Adamu Li Qiang Rabiu Sale Zakariyya Charles Okanda Nyatega Halima Bello Kawuwa Ayesha Younis |
| author_sort | Mohammed Jajere Adamu |
| collection | DOAJ |
| description | This paper addresses the main crucial aspects of physical (PHY) layer channel coding in uplink NB-IoT systems. In uplink NB-IoT systems, various channel coding algorithms are deployed due to the nature of the adopted Long-Term Evolution (LTE) channel coding which presents a great challenge at the expense of high decoding complexity, power consumption, error floor phenomena, while experiencing performance degradation for short block lengths. For this reason, such a design considerably increases the overall system complexity, which is difficult to implement. Therefore, the existing LTE turbo codes are not recommended in NB-IoT systems and, hence, new channel coding algorithms need to be employed for LPWA specifications. First, LTE-based turbo decoding and frequency-domain turbo equalization algorithms are proposed, modifying the simplified maximum a posteriori probability (MAP) decoder and minimum mean square error (MMSE) Turbo equalization algorithms were appended to different Narrowband Physical Uplink Shared Channel (NPUSCH) subcarriers for interference cancellation. These proposed methods aim to minimize the complexity of realizing the traditional MAP turbo decoder and MMSE estimators in the newly NB-IoT PHY layer features. We compare the system performance in terms of block error rate (BLER) and computational complexity. |
| first_indexed | 2024-03-10T08:24:31Z |
| format | Article |
| id | doaj.art-87a36679b6804bd6a77c4bb1720d1163 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:31Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-87a36679b6804bd6a77c4bb1720d11632023-11-22T09:38:15ZengMDPI AGSensors1424-82202021-08-012116535110.3390/s21165351An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) SystemsMohammed Jajere Adamu0Li Qiang1Rabiu Sale Zakariyya2Charles Okanda Nyatega3Halima Bello Kawuwa4Ayesha Younis5School of Microelectronics, Tianjin University, Tianjin 300072, ChinaSchool of Microelectronics, Tianjin University, Tianjin 300072, ChinaDepartment of Electronics Science and Technology, University of Science and Technology of China (USTC), Hefei 230026, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Microelectronics, Tianjin University, Tianjin 300072, ChinaThis paper addresses the main crucial aspects of physical (PHY) layer channel coding in uplink NB-IoT systems. In uplink NB-IoT systems, various channel coding algorithms are deployed due to the nature of the adopted Long-Term Evolution (LTE) channel coding which presents a great challenge at the expense of high decoding complexity, power consumption, error floor phenomena, while experiencing performance degradation for short block lengths. For this reason, such a design considerably increases the overall system complexity, which is difficult to implement. Therefore, the existing LTE turbo codes are not recommended in NB-IoT systems and, hence, new channel coding algorithms need to be employed for LPWA specifications. First, LTE-based turbo decoding and frequency-domain turbo equalization algorithms are proposed, modifying the simplified maximum a posteriori probability (MAP) decoder and minimum mean square error (MMSE) Turbo equalization algorithms were appended to different Narrowband Physical Uplink Shared Channel (NPUSCH) subcarriers for interference cancellation. These proposed methods aim to minimize the complexity of realizing the traditional MAP turbo decoder and MMSE estimators in the newly NB-IoT PHY layer features. We compare the system performance in terms of block error rate (BLER) and computational complexity.https://www.mdpi.com/1424-8220/21/16/5351Narrowband IoT (NB-IoT)narrowband physical uplink shared channel (NPUSCH)bit error rate (BER)maximum a posteriori probability (MAP)minimum mean square error (MMSE) |
| spellingShingle | Mohammed Jajere Adamu Li Qiang Rabiu Sale Zakariyya Charles Okanda Nyatega Halima Bello Kawuwa Ayesha Younis An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems Sensors Narrowband IoT (NB-IoT) narrowband physical uplink shared channel (NPUSCH) bit error rate (BER) maximum a posteriori probability (MAP) minimum mean square error (MMSE) |
| title | An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems |
| title_full | An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems |
| title_fullStr | An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems |
| title_full_unstemmed | An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems |
| title_short | An Efficient Turbo Decoding and Frequency Domain Turbo Equalization for LTE Based Narrowband Internet of Things (NB-IoT) Systems |
| title_sort | efficient turbo decoding and frequency domain turbo equalization for lte based narrowband internet of things nb iot systems |
| topic | Narrowband IoT (NB-IoT) narrowband physical uplink shared channel (NPUSCH) bit error rate (BER) maximum a posteriori probability (MAP) minimum mean square error (MMSE) |
| url | https://www.mdpi.com/1424-8220/21/16/5351 |
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