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An intelligent handoff algorithm for wireless communication systems using grey prediction and fuzzy decision system

机译:一种灰色预测和模糊决策系统的无线通信系统智能切换算法

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For wireless communication, due to finite bandwidth and obtaining an efficiently service, it is important to increase the channel reuse ratio (CRR), thus an available and efficient handoff algorithm should be developed. In this paper, we proposed an intelligent handoff algorithm for wireless communication systems using grey prediction and fuzzy decision system (GPFD). The GPFD method composed of grey prediction scheme and fuzzy decision system. The grey predictor is used to predict the received signal strength indication (RSSI) value for the inputs of fuzzy decision system. Subsequently, fuzzy decision system calculates the so-called handoff factor (HF) and compares with the handoff factor threshold (HFT) to make the decision. Our decision is based on effect of hysteresis and due to reduce delayed handoff. The GPFD has high prediction accuracy, on-line, and robustness of decision, which results good performance even the so-called Manhattan corner effect occur (causes the received signal level to drop). Several simulation results and comparisons are shown to demonstrate the effectiveness of GPFD method.
机译:对于无线通信,由于有限的带宽并获得有效的服务,重要的是增加信道重用比率(CRR),因此应该开发可用和有效的切换算法。在本文中,我们提出了一种使用灰度预测和模糊决策系统(GPFD)的无线通信系统的智能切换算法。 GPFD方法由灰色预测方案和模糊决策系统组成。灰色预测器用于预测模糊决策系统的输入的接收信号强度指示(RSSI)值。随后,模糊判定系统计算所谓的切换因子(HF)并与切换因子阈值(HFT)进行比较以做出决定。我们的决定是基于滞后的影响,并且由于减少延迟切换而导致。 GPFD具有高预测精度,在线和决策的鲁棒性,即使发生了所谓的曼哈顿角效应,也会产生良好的性能(导致接收的信号电平下降)。显示了几种模拟结果和比较证明了GPFD方法的有效性。

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