广义多载波:认知无线应用的高效平台

Adrian Kliks, I. Stupia, V. Lottici, F. Giannetti, F. Bader
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引用次数: 6

摘要

本文提出了基于广义多载波(GMC)的传输作为无线认知应用的备选方案。事实证明,通过放宽典型的OFDM传输约束(例如发射脉冲之间的固定时间和频率距离),不仅可以获得频谱效率,还可以获得更低的带外辐射。此外,还提出了采用迭代干扰抵消(IIC)方法来解决GMC信号中存在的所谓残余自干扰的主要问题之一。在存在衰落信道的情况下,比较了GMC系统与OFDM系统在误码率和平均发射功率方面的性能。在这两种情况下,考虑了基于Campello算法的实用位功率加载方案,并对基于IIC的接收机进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalized multi-carrier: An efficient platform for cognitive wireless applications
In this paper the Generalized Multicarrier (GMC) based transmission has been proposed as a candidate for wireless cognitive applications. It has been proved that by relaxing the constraints typical for OFDM transmission (such as fixed time and frequency distance between the transmit pulses) one can gain not only in terms of spectral efficiency but also in terms of lower out-of-band radiation. Moreover, it has been proposed to solve one of the main problems of the GMC signaling, that is the presence of the so-called residual self-interference by means of iterative interference cancellation (IIC) methods. The performance in terms of BER and averaged transmit power of the GMC system has been compared with OFDM one in the presence of the fading channel. In both cases, the pragmatic bit-and-power loading scheme based on the Campello algorithm have been considered and the IIC based receivers have been tested.
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