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An efficient scheduling scheme for fronthaul load reduction in fog radio access networks

机译:减少雾无线电接入网中前传负载的有效调度方案

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摘要

Fog radio access network (F-RAN) is one of the key technology that brings cloud computing benefit to the future of wireless communications for handling massive access and high volume of data traffic. The high fronthaul burden of a typical cellular system can be partially diminished by utilizing the storage and signal processing capabilities of the F-RANs, which is still not desirable as user throughput requirement is in the increasing trend with the increment of the internet of things (IoT) devices. This paper proposes an efficient scheduling scheme that minimizes the fronthaul load of F-RAN system optimally to improve user experience, and minimize latency. The scheduling scheme is modeled in a way that the scheduler which provides the lower fronthaul load while fulfilling the minimum user throughput requirement is selected for the data transmission process. Simulation results in terms of user selection fairness, outage probability, and fronthaul load for a different portion of user equipments (UEs) contents in fog access point (F-AP) are shown and compared with the most common scheduling scheme such as round robin (RR) scheme to validate the proposed method.
机译:雾无线电接入网络(F-RAN)是使云计算受益于无线通信未来的关键技术之一,该技术用于处理大规模访问和大量数据流量。通过利用F-RAN的存储和信号处理能力,可以部分减轻典型蜂窝系统的高前途负担,这仍然是不理想的,因为随着物联网的增加,用户吞吐量需求呈增长趋势(物联网)设备。本文提出了一种有效的调度方案,该方案可以最大程度地最小化F-RAN系统的前传负载,从而改善用户体验并最小化延迟。对调度方案进行建模的方式是:选择调度程序以提供较低的前传负载,同时满足最低的用户吞吐量要求,以进行数据传输过程。展示了针对雾接入点(F-AP)中不同部分用户设备(UE)内容的用户选择公平性,中断概率和前传负载方面的仿真结果,并将其与最常见的调度方案(例如轮询( RR)方案来验证所提出的方法。

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