MIMODSA:Non-Pre-emptive Scheduling in Cognitive Radio Ad-Hoc Networks (CRAHNs)

M. Shaikh, Dr. Sivasankari G G, Dr. Venugopal K R
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引用次数: 0

Abstract

Resource allocation and proficient practice of spectral frequencies to the cognitive consumers is remaining as a major apprehension in cognitive radio networks. Dynamic resource allocation can resolve the numerous research trials in CRAHNs with respect to spectrum access, allocation, and sharing. In the view of aforementioned research issue, dynamic resource allocation using non-pre-emptive scheduling is proposed by a combination of spectrum assignment and prioritization scheduling of secondary users in a cognitive wireless environment. This research work is proposing an algorithm for multiple input multiple output dynamic spectrum allocation using non-pre-emptive scheduling (MIMO-DSANPS) in CRAHNs is proposed. The simulation is performed on heterogeneous wireless environment and comparing our proposed algorithm with existing Dynamic Resource Allocation (DRA-CRN) algorithm and comparing the quality of service parameters, throughput, interference with sub-channels, packet drop and delay evaluation. As per the simulation study, the existing algorithm is improved with our proposed MIMO-DSANPS by 17% efficient in accessing the spectrum.
认知无线电自组织网络(CRAHNs)中的非抢占调度
在认知无线电网络中,资源分配和频谱频率对认知消费者的熟练实践仍然是一个主要问题。动态资源分配可以解决网络在频谱接入、分配和共享方面的诸多研究难题。针对上述研究问题,在认知无线环境下,将频谱分配和二次用户优先级调度相结合,提出了一种基于非抢占调度的动态资源分配方法。本文提出了一种基于非抢占调度的多输入多输出动态频谱分配算法(MIMO-DSANPS)。在异构无线环境下进行了仿真,并与现有的动态资源分配(DRA-CRN)算法进行了比较,比较了服务质量参数、吞吐量、对子信道的干扰、丢包和时延评估。仿真研究表明,本文提出的MIMO-DSANPS改进了现有算法的频谱获取效率,提高了17%。
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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