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Efficient equalisers for OFDM and DFrFT-OCDM multicarrier systems in mobile E-health video broadcasting with machine learning perspectives
Physical Communication ( IF 2.0 ) Pub Date : 2020-07-18 , DOI: 10.1016/j.phycom.2020.101173
Hani H. Attar , Ahmad A.A. Solyman , Abd-Elnaser Fawzy Mohamed , Mohammad R. Khosravi , Varun G. Menon , Ali Kashif Bashir , Pooya Tavallali

Recently, the orthogonal frequency-division multiplexing (OFDM) system has become an appropriate technique to be applied on the physical layer in various requests, mainly in wireless communication standards, which is the reason to use OFDM within mobile wireless medical applications. The OFDM with cyclic prefix (CP) can compensate lacks for the time-invariant multi-path channel effects using a single tap equaliser. However, for mobile wireless communication, such as the use of OFDM in ambulances, the Doppler shift is expected, which produces a doubly dispersive communication channel where a complex equaliser is needed. This paper proposes a low-complexity band LDLH factorisation equaliser to be applied in mobile medical communication systems. Moreover, the discrete fractional Fourier transform (DFrFT) is used to improve the communication system’s performance over the OFDM. The proposed low-complexity equaliser could improve the OFDM, and the DFrFT-orthogonal chirp-division multiplexing (DFrFT-OCDM) system’s performance, as illustrated in the simulation results. This proves that the recommended system outperforms the standard benchmark system, which is an essential factor as it is to be applied within mobile medical systems.



中文翻译:

基于机器学习的移动电子医疗视频广播中OFDM和DFrFT-OCDM多载波系统的高效均衡器

近年来,正交频分复用(OFDM)系统已成为一种以各种请求(主要在无线通信标准中)应用于物理层的合适技术,这是在移动无线医疗应用程序中使用OFDM的原因。具有循环前缀(CP)的OFDM可以使用单抽头均衡器补偿时不变的多路径信道效应的不足。但是,对于移动无线通信(例如在救护车中使用OFDM),可以预期多普勒频移,这会在需要复杂均衡器的情况下产生双色散通信信道。本文提出了一个低复杂度的频段低密度脂蛋白H分解均衡器将应用于移动医疗通信系统。此外,离散分数阶傅里叶变换(DFrFT)用于改善OFDM系统的通信系统性能。仿真结果表明,所提出的低复杂度均衡器可以改善OFDM性能,改善DFrFT正交chi分频复用(DFrFT-OCDM)系统的性能。这证明了推荐的系统优于标准基准系统,这是必不可少的因素,因为它将在移动医疗系统中应用。

更新日期:2020-07-18
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