We propose a method to first identify users who have the most negative impact on the overall network performance, and then offload them to an orthogonal channel. The feasibility of such an approach is verified using real-world traces, network simulations, and a lab experiment that employs multi-homed wireless stations. In our experiment, as offload target, we employ LiFi IR transceivers, and as the primary network we consider a typical Enterprise Wi-Fi setup. We found that a limited number of users can impact the overall experience of the Wi-Fi network negatively, hence motivating targeted offloading. In our simulations and experiments we saw that the proposed solution can improve the collision probability with 82% and achieve a 61 percentage point air utilization improvement compared to random offloading, respectively.

翻译：摘要：我们提出了一种方法，首先识别对整体网络性能产生最大负面影响的用户，然后将其卸载到正交信道。通过真实轨迹数据、网络仿真以及采用多宿主无线站点的实验室实验，验证了该方法的可行性。在实验中，我们使用LiFi红外收发器作为卸载目标，并将典型的企业级Wi-Fi网络作为主网络。研究发现，少数用户即可对Wi-Fi网络的整体体验产生显著负面影响，这为定向卸载提供了依据。仿真与实验结果表明，与随机卸载相比，所提方案可将碰撞概率降低82%，并实现空口利用率提升61个百分点。