一种基于OFDM认知无线电网络的次优动态资源分配算法

发布时间：2018-03-17 17:24

本文选题：认知无线电网络　切入点：正交频分复用　出处：《计算机科学》2017年05期 　论文类型：期刊论文

【摘要】：研究了采用正交频分复用的认知无线电网络中的多用户资源分配问题,包括子载波分配和功率分配。在认知无线电系统中,除了考虑主用户与次用户之间的相互干扰,还要求将主用户对次用户的干扰控制在预设门限之下,因此,系统模型更为复杂。整数约束条件,使得寻求最优解的算法复杂度高,无法用于对实时性要求高的系统。因此,提出了一种寻求次优解的分步式资源分配算法,以降低算法的复杂度。首先采用一种综合考虑了功率限制和对主用户的干扰限制的新型子载波分配方案,然后提出改进的线性注水算法进行功率分配。仿真结果表明,相比于最优分配算法,所提出的算法可以在获得较好的系统容量的同时,有效地降低系统的复杂度,适用于对实时性要求高的系统。
[Abstract]:In this paper, the problem of multi-user resource allocation in cognitive radio networks using orthogonal frequency division multiplexing is studied, including subcarrier allocation and power allocation. In cognitive radio systems, the interference between primary and secondary users is taken into account in addition to the interference between primary and secondary users. It is also required that the interference of primary user to secondary user be controlled under the preset threshold, so the system model is more complicated. Integer constraint condition makes the algorithm of finding the optimal solution too complex to be used in the system with high real-time requirement. In order to reduce the complexity of the sub-optimal resource allocation algorithm, a sub-optimal resource allocation algorithm is proposed. Firstly, a new subcarrier allocation scheme is proposed, which takes into account the power limitation and interference limitation to the primary user. Then an improved linear water injection algorithm is proposed for power allocation. The simulation results show that compared with the optimal allocation algorithm, the proposed algorithm can achieve better system capacity and reduce the complexity of the system effectively. It is suitable for the system with high requirement of real-time.
【作者单位】：南京航空航天大学电子信息工程学院;
【基金】：国家自然科学基金(61301103)资助
【分类号】：TN925

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