Introduction to indoor networking concepts and challenges in LiFi

LiFi is networked, bidirectional wireless communication with light. It is used to connect fixed and mobile devices at very high data rates by harnessing the visible light and infrared spectrum. Combined, these spectral resources are 2600 times larger than the entire radio frequency (RF) spectrum. This paper provides the motivation behind why LiFi is a very timely technology, especially for 6th generation (6G) cellular communications. It discusses and reviews essential networking technologies, such as interference mitigation and hybrid LiFi/Wi-Fi networking topologies. We also consider the seamless integration of LiFi into existing wireless networks to form heterogeneous networks across the optical and RF domains and discuss implications and solutions in terms of load balancing. Finally, we provide the results of a real-world hybrid LiFi/Wi-Fi network deployment in a software defined networking testbed. In addition, results from a LiFi deployment in a school classroom are provided, which show that Wi-Fi network performance can be improved significantly by offloading traffic to the LiFi

User-centric visible light communications for energy-efficient scalable video streaming

An energy-efficient indoor visible light communication (VLC) system relying on dynamic user-centric (UC) cluster formation is designed for scalable video streaming. Explicitly, the radically new UC cluster formation technique is based on an amorphous user-to-network association structure, which is ultimately the basis of our energy-efficient indoor VLC system. Furthermore, in order to optimize the system-level energy efficiency, our objective function is selected by jointly considering both the video quality and the power consumption. We then propose a three-tier dynamic-programming-based algorithm for user/layer-level adaptive modulation mode assignment, for access-point-level power allocation and for cluster-level energy efficiency optimization, respectively. Based on a scalable video coded sequence, our simulation results demonstrate the superior performance of our UC clusters compared to the conventional cell design in terms of its energy efficiency, throughput, as well as video quality in most of the scenarios considered

A quality of experience approach in smartphone video selection framework for energy efficiency

Online video streaming is getting more common in the smartphone device nowadays. Since the Corona Virus (COVID-19) pandemic hit all human across the globe in 2020, the usage of online streaming among smartphone user are getting more vital. Nevertheless, video streaming can cause the smartphone energy to drain quickly without user to realize it. Also, saving energy alone is not the most significant issues especially if with the lack of attention on the user Quality of Experience (QoE). A smartphones energy management is crucial to overcome both of these issues. Thus, a QoE Mobile Video Selection (QMVS) framework is proposed. The QMVS framework will govern the tradeoff between energy efficiency and user QoE in the smartphone device. In QMVS, video streaming will be using Dynamic Video Attribute Pre-Scheduling (DVAP) algorithm to determine the energy efficiency in smartphone devices. This process manages the video attribute such as brightness, resolution, and frame rate by turning to Video Content Selection (VCS). DVAP is handling a set of rule in the Rule Post-Pruning (RPP) method to remove an unused node in list tree of VCS. Next, QoE subjective method is used to obtain the Mean Opinion Score (MOS) of users from a survey experiment on QoE. After both experiment results (MOS and energy) are established, the linear regression technique is used to find the relationship between energy consumption and user QoE (MOS). The last process is to analyze the relationship of VCS results by comparing the DVAP to other recent video streaming applications available. Summary of experimental results demonstrate the significant reduction of 10% to 20% energy consumption along with considerable acceptance of user QoE. The VCS outcomes are essential to help users and developer deciding which suitable video streaming format that can satisfy energy consumption and user QoE

Research data - User-Centric Visible Light Communications for Energy-Efficient Scalable Video Streaming

This research data is associated with the IEEE Transaction on Green Communications and Networking publication titled &quot;User-Centric Visible Light Communications for Energy-Efficient Scalable Video Streaming&quot; by Xuan Li et.al DOI:10.1109/TGCN.2016.2646820. This data set includes the data for plotting each of the result-figures and explicitly, for plotting the x-axis and y-axis of a particular curve of the corresponding figure.</span