基于信噪比的蓝牙自适应分组选择算法

Bluetooth Adaptive Packet Selection Algorithm Based on Signalto-noise Ratio

为了提高加性高斯白噪声信道中蓝牙异步数据分组的传输性能,研究了在不同信噪比情况下分组类型对系统性能的影响,推导出了系统吞吐量与平均接收信噪比之间的关系,提出了一种基于信噪比的蓝牙自适应分组类型选择算法。该算法能够根据接收信噪比的不同情况选择最佳的分组类型进行传输,给出了进行分组类型切换的信噪比门限值。仿真与分析结果表明:系统平均吞吐量在不同信道质量情况下均获得最大值,改善了在信道状态不佳时的系统性能。

To improve the transmission performance of bluetooth asynchronous data packets in addictive white Gaussian noise channel, the effect of packet type on the system performance under different signal-to-noise ratio （SNR） is investigated, and relationship between system throughput and average received SNR was deduced, then an adaptive packet selection algorithm based on SNR was presented. This algorithm can choose the optimal packet type for data transmission according to average received SNR, and the threshold values for switching packet type were given. Simulation and analytical results show that the average throughput of the system can achieve maximum value regardless of the channel conditions, so the system performance under bad channel conditions was improved.