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基于混沌时间序列预测模型的改进CFDAMA协议

Improved CFDAMA Protocol based on Chaotic Time Series Prediction Model
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摘要 混合自由/按需分配多址接入协议(CFDAMA)将按需分配方式和自由分配方式相结合,可以确保资源分配的合理性和公平性。在总结现有CFDAMA协议的基础上,以提高网络吞吐量,降低平均时延为目标,提出了一种CFDAMA改进协议,采用基于最大Lyapunov指数的信源预测模型对用户在下一时刻发送队列中即将到来的突发数据分组进行预测,使用户在发送时隙请求到获得时隙分配之间的数据分组能够及时的发送出去,减小平均端到端时延。 Combined Free/Demand Assignment Multiple Access(CFDAMA) integrates assignment-on-demand with free assignment to ensure the rationality and equity of resource assignment. Based on current CFDAMA protocol, targeting at improving network throughput and reducing average time-delaying, this paper proposes an improved CFDAMA protocol, which adopts the source prediction model with the largest Lyapunov exponent to predict burst data packets in users' transmit queue which would be sent out in next moment, thus making the data packets within the period from sending timeslot request to timeslot acquisi- tion be sent timely and reducing the average end-to-end time-delaving.
出处 《通信技术》 2014年第10期1173-1177,共5页 Communications Technology
关键词 多址接入 CFDAMA协议 信源预测 突发数据 multiple access CFDAMA protocol source prediction burst data
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