Research on Cognitive Making Decision Engine

Yang Yu, Xuezhi Tan, Qifeng Zou, Xiaolong Yang, Guanyuan Feng
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Abstract

The cognitive making decision engine plays an important role in cognitive radio. In this paper, a novel cognitive making decision engine based on binary chaotic particle swarm optimization (BCPSO) is proposed to adjust the transmitter parameters appropriately. The obtained results in the orthogonal frequency division multiplexing (OFDM) system are compared with those of binary particle swarm optimization (BPSO) and the superiority of the proposed engine in precision is demonstrated.
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认知决策引擎研究
认知决策引擎在认知无线电中起着重要的作用。提出了一种基于二元混沌粒子群优化(BCPSO)的认知决策引擎,对发射机参数进行适当调整。将正交频分复用(OFDM)系统中得到的结果与二元粒子群优化(BPSO)的结果进行了比较,证明了该引擎在精度上的优越性。
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