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Cooperative subcarrier sensing using antenna diversity based weighted virtual sub clustering

机译:基于天线分集的加权虚拟子聚类的协作子载波感知

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摘要

The idea of cooperation and the clustering amongst cognitive radios (CRs) has recently been focus of attention of research community, owing to its potential to improve performance of spectrum sensing (SS) schemes. This focus has led to the paradigm of cluster based cooperative spectrum sensing (CBCSS). In perspective of high date rate 4th generation wireless systems, which are characterized by orthogonal frequency division multiplexing (OFDM) and spatial diversity, there is a need to devise effective SS strategies. A novel CBCSS scheme is proposed for OFDM subcarrier detection in order to enable the non-contiguous OFDM (NC-OFDM) at the physical layer of CRs for efficient utilization of spectrum holes. Proposed scheme is based on the energy detection in MIMO CR network, using equal gain combiner as diversity combining technique, hard combining (AND, OR and Majority) rule as data fusion technique and antenna diversity based weighted clustering as virtual sub clustering algorithm. Results of proposed CBCSS are compared with conventional CBCSS scheme for AND, OR and Majority data fusion rules. Moreover the effects of antenna diversity, cooperation and cooperating clusters are also discussed.
机译:由于认知无线电(CR)之间的合作和聚类可以提高频谱感知(SS)方案的性能,因此近来已成为研究界关注的焦点。这种关注导致了基于集群的协作频谱感知(CBCSS)的范例。鉴于以正交频分复用(OFDM)和空间分集为特征的高速率第四代无线系统,需要设计有效的SS策略。提出了一种新颖的CBCSS方案用于OFDM子载波检测,以使CR的物理层上的非连续OFDM(NC-OFDM)得以有效利用频谱空洞。提出的方案基于MIMO CR网络中的能量检测,使用等增益合并器作为分集合并技术,使用硬合并(与,或和多数)规则作为数据融合技术,并基于天线分集的加权聚类作为虚拟子聚类算法。将提出的CBCSS的结果与常规CBCSS方案的AND,OR和Majority数据融合规则进行比较。此外,还讨论了天线分集,协作和协作集群的影响。

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