Optical Dynamic Resource Allocation Based on Weighted Expected Spectral Efficiency

5G networks occupies a high interest recently because it enables internet of things applications. One of these networks is light fidelity (Li-Fi) technology that attracts high attention nowadays in wireless communication field. Because it has a large swath of spectrum hence the ability to provide high end user data rate up to multiple Gbps. However, Li-Fi suffers from big issues such as co-channel interference (CCI) between users. This problem highly degrades Li-Fi performance. To overcome on this challenge, an efficient resource allocation between users is needed to obtain optimum usage of available system spectrum. In this paper, the users' channel quality is taken into consideration to dynamically allocate resources to users in Li-Fi network. Based on this criterion, the network guarantees efficient spectrum distribution among users without wasting resources for users with bad channel conditions thus improving the system performance. Hence, the proposed scheme can achieve a high improvement in total system spectral efficiency and increase in average data rate per user comparable to other scheduling algorithms, i.e., round robin and proportional fairness scheduling, as it will be discussed in numerical simulation.