混合无线网络是在 Ad hoc 网络中添加基站的新型网络模型,其容量是评估网络性能的重要参数。本文研究了混合无线网络的容量问题。首先建立了该网络的网络模型,在考虑延迟时间的基础上提出一种新的路由策略,一定程度地保证了数据传输的...混合无线网络是在 Ad hoc 网络中添加基站的新型网络模型,其容量是评估网络性能的重要参数。本文研究了混合无线网络的容量问题。首先建立了该网络的网络模型,在考虑延迟时间的基础上提出一种新的路由策略,一定程度地保证了数据传输的实时性。在此基础上运用图论中数学计算的方法推导了混合无线网络容量数学期望的分析表达式,这是本文的重要结论.对于未来混合无线网络的设计与分析都具有指导意义。展开更多
Most of studies on network capacity are based on the assumption that all the nodes are uniformly distributed, which means that the networks are characterized by homogeneity. However, many realistic networks exhibit in...Most of studies on network capacity are based on the assumption that all the nodes are uniformly distributed, which means that the networks are characterized by homogeneity. However, many realistic networks exhibit inhomogeneity due to natural and man-made reasons. In this work, the capacity of inhomogeneous hybrid networks with directional antennas for the first time is studied. By setting different node distribution probabilities, the whole network can be devided into dense cells and sparse cells. On this basis, an inhomogeneous hybrid network model is proposed. The network can exhibit significant inhomogeneity due to the coexistence of two types of cells. Then, we derive the network capacity and maximize the capacity under different channel allocation schemes. Finally, how the network parameters influence the network capacity is analyzed. It is found that if there are plenty of base stations, the per-node throughput can achieve constant order, and if the beamwidth of directional antenna is small enough, the network capacity can scale.展开更多
文摘混合无线网络是在 Ad hoc 网络中添加基站的新型网络模型,其容量是评估网络性能的重要参数。本文研究了混合无线网络的容量问题。首先建立了该网络的网络模型,在考虑延迟时间的基础上提出一种新的路由策略,一定程度地保证了数据传输的实时性。在此基础上运用图论中数学计算的方法推导了混合无线网络容量数学期望的分析表达式,这是本文的重要结论.对于未来混合无线网络的设计与分析都具有指导意义。
基金Projects(61401476,61201166)supported by the National Natural Science Foundation of China
文摘Most of studies on network capacity are based on the assumption that all the nodes are uniformly distributed, which means that the networks are characterized by homogeneity. However, many realistic networks exhibit inhomogeneity due to natural and man-made reasons. In this work, the capacity of inhomogeneous hybrid networks with directional antennas for the first time is studied. By setting different node distribution probabilities, the whole network can be devided into dense cells and sparse cells. On this basis, an inhomogeneous hybrid network model is proposed. The network can exhibit significant inhomogeneity due to the coexistence of two types of cells. Then, we derive the network capacity and maximize the capacity under different channel allocation schemes. Finally, how the network parameters influence the network capacity is analyzed. It is found that if there are plenty of base stations, the per-node throughput can achieve constant order, and if the beamwidth of directional antenna is small enough, the network capacity can scale.
