PAIZM-CPC:无线网络频谱共存的增强

Md. Akbar Hossain, S. Haque
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引用次数: 0

摘要

下一代无线网络将是异构的,其中几个主要用户(PU,例如授权用户)和次要用户(SU,例如未授权用户)可以在给定时间在相同的动态和可重构网络中操作。在这种异构无线电环境中,主要的挑战是使PU和SU共存,这将进一步提高无线电频谱的有效利用。由于缺乏对主系统的先验知识,大多数现有的共存技术都遇到了挑战。因此,认知导频通道(CPC)是一种通过传递一些先验信息来增强共存的方法。然而,为了实现和平共处,根据中国共产党的信息,采取缓解技术至关重要。到目前为止,还没有描述将CPC信息与现有缓解技术相结合的算法。本文提出了一种新的异构网络中和平共存的功率自适应和集成区域模型CPC算法。此外,我们已经实现并评估了作为共存促进者的PAIZM-CPC模型。结果表明,与现有的共存技术相比,该方法有了很大的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PAIZM-CPC: Enhancement of spectrum co-existence in wireless networks
Next generation wireless networks will be heterogeneous, where several primary users (PU e.g. licensed users) and secondary users (SU e.g. unlicensed users) can operate in the same dynamic and reconfigurable networks at a given time. The major challenge in this heterogeneous radio environment is to enable the coexistence between PU and SU which will further improve the efficient use of radio spectrum. Most of the existing coexistence techniques encounter with challenges due to lack of a priori knowledge about the primary system. Therefore Cognitive pilot channel (CPC) is a proposed approach which could enhance the coexistence by conveying some priori information. However, to achieve a peaceful coexistence it is essential to adopt a mitigation technique according to the CPC information. There is no algorithm has been described so far to integrate the CPC information with existing mitigation technique. In this paper, we proposed a novel power adaptation and integrated zone model (PAIZM) CPC algorithm for peaceful coexistence in heterogeneous networks. Moreover we have implemented and evaluated the PAIZM-CPC model as a coexistence enabler. The results show an enhancement compared with the existing coexistence techniques.
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