Probabilistic Stability of Traffic Load Balancing on Wireless Complex Networks
Probabilistic Stability of Traffic Load Balancing on Wireless Complex Networks
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DOI：
10.1109/jsyst.2019.2956060
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发表时间：
2018-10
影响因子：
4.4
通讯作者：
Giannis Moutsinas;Weisi Guo
中科院分区：
文献类型：
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作者：
Giannis Moutsinas;Weisi Guo
相邻基站间的负载均衡对于均衡负载分布和改善业务发放具有重要意义。虽然任何给定的BSs对之间的负载平衡是有益的，但级联负载共享可能导致难以预测的网络级不稳定。不了解每个BS的负载平衡动态与网络拓扑之间的关系。在这项开创性的稳定性分析工作中，我们考虑了一个无干扰的频率复用网络，其中负载平衡动态不会干扰单个单元的容量。我们的新颖之处在于展示了稳定性的精确分析关系和概率关系，将广义局部负载平衡动态与广义网络拓扑以及由于噪声通道或网络感知而导致的负载平衡参数中的不确定性联系起来。我们证明了稳定性分析对任何广义的负载均衡动态和拓扑单元部署都是有效的，并且我们相信这种一般关系可以为负载均衡动态和网络邻居列表的联合设计提供信息。概率框架为无线基础设施的数字孪生提供了不确定性量化和稳定性预测。
Load balancing between adjacent base stations (BSs) is important for balancing load distributions and improving service provisioning. While load balancing between any given pair of BSs is beneficial, cascade load sharing can cause network-level instability that is hard to predict. The relationship between each BS’s load balancing dynamics and the network topology is not understood. In this seminal work on stability analysis, we consider a frequency reuse network with no interference, whereby load balancing dynamics does not perturb the individual cells’ capacity. Our novelty is to show an exact analytical and also a probabilistic relationship for stability, relating generalized local load balancing dynamics with a generalized network topology, as well as the uncertainty we have in load balancing parameters due to noisy channel or network sensing. We prove that the stability analysis is valid for any generalized load balancing dynamics and topological cell deployment, and we believe this general relationship can inform the joint design of both the load balancing dynamics and the neighbor list of the network. The probabilistic framework provides uncertainty quantification and stability prediction for Digital Twins of wireless infrastructure.