Performance evaluation of the UFMC scheme under various transmission impairments

C. Ambatali, J. Marciano
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引用次数: 11

Abstract

The next generation mobile network (fifth generation or 5G) considers the novel multi-carrier (MC) technique dubbed as Universal Filtered Multi-Carrier (UFMC) for implementation. It maintains the advantages of Orthogonal Frequency Division Multiplexing (OFDM) from the fourth generation while avoiding its drawbacks; mainly, the requirements for a strict synchronization between transmitter and receiver. This convenience, however, increases computational complexity as UFMC employs filters to achieve this effect. While the performance of OFDM and UFMC against frequency synchronization error is investigated thoroughly, their performance to delay spread (aka multipath) and timing error has little attention. This paper contains the results of a simulation of UFMC against these communication impediments using MATLAB/Simulink™. In both schemes, the bit error rate is measured when the same number of bits modulated, transmitted, equalized, and demodulated. It is shown that UFMC outshines OFDM under both time and frequency synchronization errors and lags in performance under delay spread when delay spread is below a certain value. This is expected as OFDM preserves orthogonality due to the use of a cyclic prefix (CP). Also investigated in this study is the effect of increasing the filter length of UFMC in its performance. An increase in performance is evident for increasing lengths, but this convenience requires an increase in the number of sub-bands which complicates the system.
各种传输损伤下UFMC方案的性能评估
下一代移动网络(第五代或5G)考虑被称为通用滤波多载波(UFMC)的新型多载波(MC)技术来实现。它保持了第四代正交频分复用(OFDM)的优点,同时避免了其缺点;主要要求发射机和接收机之间严格同步。然而,这种便利性增加了计算复杂性,因为UFMC使用过滤器来实现这种效果。虽然OFDM和UFMC对频率同步误差的性能研究比较深入,但对延迟传播(即多径)和定时误差的性能研究却很少。本文使用MATLAB/Simulink™对UFMC进行了针对这些通信障碍的仿真。在这两种方案中,当调制、传输、均衡和解调的比特数相同时,测量误码率。结果表明,UFMC在时间和频率同步误差下都优于OFDM,而在延迟扩展下,当延迟扩展低于一定值时,其性能滞后。这是预期的,因为OFDM由于使用循环前缀(CP)而保持正交性。本文还研究了增大滤波长度对UFMC性能的影响。随着长度的增加,性能的提高是显而易见的,但这种便利需要增加子带的数量,这使系统变得复杂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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