多网络接入协同选择与聚合算法

针对异构无线网络场景，本文提出了一种基于协同学的多网络并行接入协同聚合算法，该算法基于吞吐量、可用信道数、功耗、费用及丢包率等多个参数构建了网络协同度评价体系，将属性要求作为协同子系统，属于同一属性的不同参数作为子系统的序参量，序参量之间相互协同和制约，以更加全面地衡量聚合网络的整体性能。多网络聚合过程分为两步:首先计算单个网络的协同度，以判断该网络是否为参与聚合的候选网络，多个候选网络的各种排列组合可以得到多种网络的候选方案；候选方案采用属性聚合形成聚合网络，然后计算聚合网络的协同度，选择协同度最大的多网络聚合方案。仿真结果证明，本文算法能够更加合理分配信道，降低用户接入阻塞率，增加用户的平均吞吐量和系统容量，同时降低单位吞吐量对应的功耗和费用。 

Multiple Networks Access Synergetic Selection and Aggregation Algorithm

In this paper, we propose a parallel multi-access selection algorithm based on synergetic theory. First, Synergy degree evaluation mode is established. In the model, every candidate network is a system composed by several attribute subsystems. Subsystem is defined as a certain kind of network’s expected attribute or property, while order parameters of subsystem are parameters related to this attribute. The algorithm firstly calculates the synergy degree of each single network available according to the model. The degree determine whether the network can be aggregated. The alternative multi-network schemes are formed by these networks’ combination. Then, the algorithm calculates the synergy degree of each aggregated network gotten from attribute aggregation. The scheme whose synergy degree is maximal will be selected as the final decision. The simulation results show the algorithm proposed can arrange channels more reasonably, reduce block possibility of new-arrivals. Thus it can increase the users’ average throughput, and reduce power consumption per bit and cost per bit as well.