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Mitigation of co-channel interferences in cognitive multi-carrier code division multiple access system by singular value decomposition techniques

机译:通过奇异值分解技术减轻认知多载波码分区多址系统的共同信道干扰

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摘要

Efficient spectrum usage is important criteria for next generation wireless systems. In this paper, to utilize the spectrum in useful manner, cognitive radio approaches are used along with multi-carrier code division multiple access schemes (MC-CDMA). But MC-CDMA systems are greatly affected by co-channel interference (CCI). To mitigate CCI interference, multi-user detection (MUD) technique is the design choice. When the user population increases complexity level of MUD algorithms are increases linearly. Also power consumption of mobile station also increases. Hence as a design alternate, in this paper we developed a singular value decomposition based pre-processing approaches to mitigate CCI interferences. The proposed technique is tested with real time channel models and the result shows that superior performance obtained with proposed techniques.
机译:高效的频谱使用是下一代无线系统的重要标准。 在本文中,为了利用有用的方式,使用多载波码分割多址方案(MC-CDMA),使用认知无线电方法。 但是MC-CDMA系统受到共同信道干扰(CCI)的大大影响。 为了缓解CCI干扰,多用户检测(MUD)技术是设计选择。 当用户群体增加泥浆算法的复杂程度时,线性增加。 此外,移动台的功耗也增加。 因此,作为一种设计替代,本文我们开发了基于奇异值的分解方法来缓解CCI干扰。 所提出的技术用实时通道模型测试,结果表明,用所提出的技术获得的优异性能。

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