Abstract
As a candidate wireless communication technology in future, visible light communication (VLC) not only provides the green illumination, but also transmits data at high speed without occupying the existing radio frequency (RF) spectrum resources, hence it can offload the data traffic from the crowded RF network. However, achieving satisfying traffic service with probability almost approaching one inside an indoor scenario is not an effortless task in VLC networks. Several factors such as transmitted power, number of user equipments (UEs), and multiple access schemes affect the coverage probability. In this paper, we utilize the user quality of experience (QoE) as the system performance metric, and the QoE probability coverage model is proposed which the LED coverage area projecting on the ground, we attempt to achieve a satisfying QoE with a certain probability on UEs. We investigate how the factors including non-orthogonal multiple access (NOMA) scheme, user pairing scheme, UE density, power allocation methods etc. affect the reliable QoE probability coverage area which contributes to a VLC network deployment, multiple access protocols and handover schemes.
Highlights
Visible light communication (VLC) [1]–[3] is an evolving communication technology that uses LEDs as transmitters to emit both the light and information signals by leveraging the broad license-free optical spectrum at wavelengths of 380-750nm [4]
This paper proposed a numerical computation method called discrete approximation algorithm (DAA) to compute the probability that an arbitrary point was not covered by randomly deployed sensors within its corresponding range
1) We propose a quality of experience (QoE) probability coverage model by using QoE as the evaluation metric in multi-user VLC networks
Summary
Visible light communication (VLC) [1]–[3] is an evolving communication technology that uses LEDs as transmitters to emit both the light and information signals by leveraging the broad license-free optical spectrum at wavelengths of 380-750nm [4]. J. Li et al.: QoE Probability Coverage Model of Indoor VLC Network studies [11], [12]. In the decade, ultra dense networks, with small cells, will cover most of indoor and outdoor spaces, providing data rate of 100 Mbps to cell edge users [16] This will result in an increase in frequency reuse and will generate intolerable interference, limiting the spectral efficiency of the system. We utilize quality of experience (QoE) as the evaluation metric to propose a QoE probability coverage model in NOMA-based VLC network. It is defined as the LED coverage area projecting on the ground that the UEs can achieve a satisfying QoE with a certain probability.
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