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dynamic spectrum access-based augmenting coverage in narrow band Internet of Things

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2024年第1期37卷

作者： Gnanaselvam, R. Vasanthi, M. S. SRM Inst Sci & Technol Dept Elect & Commun Engn Kattankulathur Tamil Nadu India

The Third Generation Partnership Project launched the Narrowband Internet of Things (NB-IoT) as part of 5G technology under Release-13. These networks are authorized Low Power Wide Area Networks. It uses less power and sends message over long distances. The NB-IoT is can be used widely in industries, environment, and home for automation. While comparing NB-IoT to regular Long Term Evaluation Machine Type Communication, the repetition in uplink is 128. The extreme coverage by 164 dB in terms of Maximum Coupling Loss. The NB-IoT is employed in deep coverage for users. If we use many repetitions in NB-IoT technology, the results are shorter battery life and higher maintenance cost. Hence, we suggest abandoning the random spectrum access strategy in favor of a novel technique termed dynamic spectrum access, which uses reinforcement learning algorithm to eliminate the shortcomings. This method is used to decrease the number of re-transmissions so that NB-IoT system power goes to less and augments coverage. The Third Generation Partnership Project launched the Narrowband Internet of Things (NB-IoT) as part of 5G technology under Release-13. These networks are authorized Low Power Wide Area Networks. It uses less power and sends message over long distances. The NB-IoT can be used widely in industries, environment, and home for ***

关键词： coverage improvement MAB model NB-IoT proposed dynamic spectrum access procedure reinforcement learning algorithm

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