Alsulami Osama Zwaid, Alahmadi Amal A, Saeed Sarah O M, Mohamed Sanaa Hamid, El-Gorashi T E H, Alresheedi Mohammed T, Elmirghani Jaafar M H
School of Electronic and Electrical Engineering, University of Leeds, LS2 9JT Leeds, UK.
Department of Electrical Engineering, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Philos Trans A Math Phys Eng Sci. 2020 Apr 17;378(2169):20190188. doi: 10.1098/rsta.2019.0188. Epub 2020 Mar 2.
Optical wireless communication (OWC) is a promising technology that can provide high data rates while supporting multiple users. The optical wireless (OW) physical layer has been researched extensively, however, less work was devoted to multiple access and how the OW front end is connected to the network. In this paper, an OWC system which employs a wavelength division multiple access (WDMA) scheme is studied, for the purpose of supporting multiple users. In addition, a cloud/fog architecture is proposed for the first time for OWC to provide processing capabilities. The cloud/fog-integrated architecture uses visible indoor light to create high data rate connections with potential mobile nodes. These OW nodes are further clustered and used as fog mini servers to provide processing services through the OW channel for other users. Additional fog-processing units are located in the room, the building, the campus and at the metro level. Further processing capabilities are provided by remote cloud sites. Two mixed-integer linear programming (MILP) models were proposed to numerically study networking and processing in OW systems. The first MILP model was developed and used to optimize resource allocation in the indoor OWC systems, in particular, the allocation of access points (APs) and wavelengths to users, while the second MILP model was developed to optimize the placement of processing tasks in the different fog and cloud nodes available. The optimization of tasks placement in the cloud/fog-integrated architecture was analysed using the MILP models. Multiple scenarios were considered where the mobile node locations were varied in the room and the amount of processing and data rate requested by each OW node was varied. The results help to identify the optimum colour and AP to use for communication for a given mobile node location and OWC system configuration, the optimum location to place processing and the impact of the network architecture. This article is part of the theme issue 'Optical wireless communication'.
光无线通信(OWC)是一项很有前景的技术,它能够在支持多个用户的同时提供高数据速率。光无线(OW)物理层已得到广泛研究,然而,对于多址接入以及OW前端如何连接到网络的研究较少。本文研究了一种采用波分多址接入(WDMA)方案的OWC系统,以支持多个用户。此外,首次为OWC提出了一种云/雾架构,以提供处理能力。这种云/雾集成架构利用室内可见光与潜在移动节点建立高数据速率连接。这些OW节点进一步聚类,并用作雾微型服务器,通过OW信道为其他用户提供处理服务。额外的雾处理单元分布在房间、建筑物、校园和地铁级别。远程云站点提供进一步的处理能力。提出了两个混合整数线性规划(MILP)模型,对OW系统中的网络和处理进行数值研究。第一个MILP模型用于优化室内OWC系统中的资源分配——特别是为用户分配接入点(AP)和波长,而第二个MILP模型用于优化处理任务在不同雾节点和云节点中的放置。利用MILP模型分析了云/雾集成架构中任务放置的优化问题。考虑了多种场景,其中移动节点在房间内的位置不同,每个OW节点请求的处理量和数据速率也不同。这些结果有助于确定在给定移动节点位置和OWC系统配置下用于通信的最佳颜色和AP、处理的最佳放置位置以及网络架构的影响。本文是主题为“光无线通信”的一部分。