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作 者:Huichao Shang Ruifeng Chen Haoxiang Zhang Guoyu Ma Ruisi He Bo Ai Zhangdui Zhong
机构地区:[1]State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China [2]Institute of Computing Technologies,China Academy of Railway Sciences Co.,Ltd.,Beijing 100081,China [3]China Academy of Industrial Internet,Ministry of Industry and Information Technology,Beijing 100804,China
出 处:《China Communications》2023年第1期102-113,共12页中国通信(英文版)
基 金:supported by the National Key R&D Program of China under Grant 2022YFF0608103;the National Natural Science Foundation of China under Grant 62001519 and 62271037。
摘 要:The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and service.It is important to achieve reliable communication in IoT for railways(IoT-R)under high mobility scenarios and strict energy constraints.Orthogonal time frequency space(OTFS)modulation is a two-dimensional modulation technique that has the potential to overcome the challenges in high Doppler environments.In addition,OTFS can have lower peak-to-average power ratio(PAPR)compared to orthogonal frequency division multiplexing,which is especially important for the application of IoT-R.Therefore,OTFS modulation for IoT-R is investigated in this paper.In order to decrease PAPR of OTFS and promote the application of OTFS modulation in IoT-R,the peak windowing technique is used in this paper.This technique can reduce the PAPR of OTFS by reducing the peak power and does not require multiple iterations.The impacts of different window functions,window sizes and clipping levels on PAPR and bit error rate of OTFS are simulated and discussed.The simulation results show that the peak windowing technique can efficiently reduce the PAPR of OTFS for IoT-R.
关 键 词:internet of things for railways(IoT-R) orthogonal time frequency space(OTFS) peak-toaverage power ratio(PAPR) peak windowing
分 类 号:TN929.5[电子电信—通信与信息系统]
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