基于WDM网络的有线电视频道低成本ROF通信系统及其模糊建模

M. Niknamfar, Y. S. Manjili, M. Jamshidi, M. Shadaram
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引用次数: 2

摘要

在波分复用(WDM)网络上,利用光直接调制器(DM)为有线电视(CATV)信道设计了光纤无线电(RoF)通信系统。由于DM带宽有限,采用m正交调幅(MQAM)方案提高系统的带宽效率将改善链路符号误码率(SER)性能。针对有线电视信道中16-64-256 QAM星座的射频信号进行了仿真,研究了采用更高的码位对链路性能的影响,以期通过经济可行的光调制器来降低网络成本。在有线电视信道系统中,采用了最适合的64-QAM方案。研究了交流功率和模偏比等有效参数的不同组合对链路性能的影响,并在接收机前端获得了SER。提出了在4-WDM链路上直接调制的64-QAM星座30个有线电视频道的最佳设置方案。利用仿真得到的数据库,采用模糊逻辑对通信系统进行建模。为了提供实现期望的SER所需的电力的合理估计,还实现了系统的模糊反向建模。讨论了正向和反向模糊建模的特点。仿真结果表明该模型具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost effective ROF communication system for CATV channels over WDM network and fuzzy modeling of the system
A radio over fiber (RoF) communication system is considered for cable television (CATV) channels over wavelength division multiplexing (WDM) network using an optical direct modulator (DM). Since the DM bandwidth is limited, increasing bandwidth efficiency of the system using M-ary quadrature amplitude modulation (MQAM) schemes will improve the link symbol error rate (SER) performance. Radio frequency (RF) signals with constellations of 16-64-256 QAM were simulated for CATV channels and the effect of using higher bit per symbol on the link performance was studied in order to reduce the cost of the network through utilizing financially feasible optical modulator. The 64-QAM scheme which is the most appropriate is used for the system of CATV channels. The link performance is studied for different combinations of effective parameters such as AC electrical power and Module to Bias ratio, which are crucial to be set properly, and SER is obtained at the front end of the receiver. The best setting options are proposed for 30 CATV channels with 64-QAM constellation with direct modulation transmitted over the 4-WDM link. Moreover, communication system is modeled by fuzzy logic using data-base obtained from simulation. Fuzzy reverse modeling of the system is also implemented in order to provide reasonable estimate of electrical power required to achieve a desired SER. Characteristics of forward and reverse fuzzy modeling are discussed. Simulation results represent satisfactory performance of the models.
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