基于认知无线电OFDM系统的组合频谱池和自适应比特加载

I. Budiarjo, H. Nikookar, L. Ligthart
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引用次数: 20

摘要

提出了一种基于认知无线电正交频分复用(OFDM)系统的自适应比特加载和频谱池的组合方法。自适应比特加载是一种根据信道变化调整传输信号星座大小的方法,通过排除传输中严重衰落的载波,并将较高的调制模式分配给具有良好信噪比的子载波作为补偿。OFDM信号加窗是一种频谱池化方法,用于对信号频谱进行整形,以减少对相邻系统(遗留用户)的干扰。本文将不同的OFDM自适应比特加载算法与几种窗函数相结合,对广义平稳不相关散射(WSSUS)移动多径信道系统的误码率性能进行了仿真。本文的新结果表明,将位加载算法与窗口形式相结合是很有前途的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined Spectrum Pooling and Adaptive Bit Loading for Cognitive Radio OFDM Based System
This paper presents the combination of adaptive bit loading and spectrum pooling to be applied in a cognitive radio orthogonal frequency division multiplexing (OFDM) based system. Adaptive bit loading is a method to adapt the constellation size of the transmitted signal according to the channel variations by exclusion of heavily faded carriers from transmission and as a compensation higher modulation modes are allocated to subcarriers with good SNR. Windowing of OFDM signal is a spectrum pooling method for shaping the signal spectrum in order to reduce interference to neighbouring system (legacy users). In this paper different OFDM adaptive bit loading algorithms are combined with several window functions, and the bit error rate performance of the system is simulated for a wide sense stationary uncorrelated scattering (WSSUS) mobile multipath channel. The new results of this paper show how promising is the combination of bit loading algorithm and window form
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