Novel Power Control Algorithms for Underlay Cognitive Radio Networks

Mohsen Karimzadeh Kiskani, B. Khalaj
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引用次数: 10

Abstract

Power control mechanisms play a critical role in underlay cognitive radio networks where primary users' quality of service should not be degraded by the secondary users transmission. Consequently, the inflicted interference power of the secondary transmitters on the primary receivers should be less than certain threshold levels that is required to be considered in designing power control algorithms for such networks. In this paper, we first propose a power reduction algorithm for the set of secondary transmitting links in order to guarantee that the members of this set do not violate the interference constraints set by primary users while maintaining their specific SINR quality of service requirements. In addition, in scenarios where it is not possible to meet the constraints while all transmitters are active, a distributed stochastic elimination algorithm is proposed that turns off transmission of a selected number of links. The main advantage of the proposed elimination algorithm is that it can be used in a distributed manner resulting in a more practical solution.
基于底层认知无线网络的新型功率控制算法
功率控制机制在底层认知无线网络中起着至关重要的作用,在这种网络中,主要用户的服务质量不应受到次要用户传输的影响。因此,二次发射机对主接收机造成的干扰功率应小于设计此类网络的功率控制算法时需要考虑的某些阈值水平。在本文中,我们首先提出了一种二次传输链路集的功率降低算法,以保证该集的成员不违反主用户设置的干扰约束,同时保持其特定的SINR服务质量要求。此外,在所有发射机都处于活动状态时不可能满足约束的情况下,提出了一种分布式随机消除算法,关闭选定数量的链路传输。提出的消除算法的主要优点是它可以以分布式方式使用,从而产生更实用的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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