基于LAA-WiFi智慧医疗的网络优化拥塞控制方法

Network optimization congestion control method based on LAA-WiFi smart healthcare

摘要:

为了对无线异构共存网络进行优化并对拥塞进行控制,通过授权辅助接入和无线保真对网络优化模型进行了设计,并以马尔科夫链来辅助建模。为了解决吞吐量问题,对不同公平约束下的最大吞吐量进行了问题优化,并引入了虚拟队列来对拥塞进行控制。实验结果显示,LAA-WiFi模型下共存网络总吞吐量的仿真值最大值为0.99。虚拟队列方法下吞吐量的最大值约为317,最小值约为108。LAA-WiFi模型可以对网络拥塞问题进行缓解,且其引入的虚拟队列方法可以对吞吐量下降问题进行解决。研究结果可以扩展到其他的领域,给不同场景的无线异构共存网络的优化和拥塞控制提供借鉴。

Abstract:

In order to optimize wireless heterogeneous coexistence networks and control congestion, a network optimization model was designed through authorization assisted access and wireless fidelity, and Markov chains were used to assist in modeling. In order to solve the throughput problem, the maximum throughput under different fairness constraints was optimized and virtual queues were introduced to control congestion. The experimental results show that the maximum simulation value of the total throughput of the coexisting network under the LAA-WiFi model is 0.99. The maximum throughput under the virtual queue method is approximately 317, and the minimum value is approximately 108. The LAA-WiFi model can alleviate network congestion problems, and its introduction of virtual queue methods can solve the problem of throughput degradation. The research results can be extended to other fields, providing reference for the optimization and congestion control of wireless heterogeneous coexistence networks in different scenarios.