Abstract
The visible light communication (VLC) and wireless fidelity (WIFI) heterogeneous network is considered as a highly competitive candidate for the next generation indoor wireless communication. VLC provides high data rate as downlink transmission while WIFI can be supplied to achieve uplink transmission and make up for link interruptions caused by occlusion. Due to the dense distribution of VLC access points (APs), data rate of users is reduced by inter-cell interference (ICI) seriously, therefore, interference management (IM) is crucial to ensure user satisfaction. Meanwhile, as the number of users increases, in order to ensure the needs of users, reasonable resource allocation is required in such heterogeneous network. Hence, the center of the elite user clustering attracts its non-interfering users to join a cluster that is a user with good channel quality and high demand. And users in one cluster share resources by sub-channel reuse. In consideration of interference management and resource allocation, we investigated resource allocation based on elite users clustering for interference management in heterogeneous network, which is formulated as a throughput maximization problem, and a graph-based IM is proposed to solve it. Compared with the benchmark 1 and benchmark 2 on a rectangular layout and an irregular layout, the simulation results demonstrate that the throughput of the proposed elite user clustering algorithm is increased by 19.5% and 12%, the average user satisfaction ratio is increased by 14% and 9%, respectively.
Highlights
Over the last two decades, there has been rapid growth in mobile data traffic due to the surge in the number of multimedia-enabled mobile devices capable of accessing the Internet
Different from the above literatures mentioned, we study the two problems of interference management and sub-channel allocation in a heterogeneous visible light communication (VLC)-wireless fidelity (WIFI) network for the sake of data rate maximization
To solve the above problems, we propose an elite user clustering method based on interference management in VLC-WIFI heterogeneous networks
Summary
Over the last two decades, there has been rapid growth in mobile data traffic due to the surge in the number of multimedia-enabled mobile devices capable of accessing the Internet. H. Liu et al.: Elite User Clustering-Based Indoor Heterogeneous VLC IM and Sub-Channel Allocation Strategy improve the rate by interference management based on graph theory. Different from the above literatures mentioned, we study the two problems of interference management and sub-channel allocation in a heterogeneous VLC-WIFI network for the sake of data rate maximization. To solve the above problems, we propose an elite user clustering method based on interference management in VLC-WIFI heterogeneous networks. The optimization problem is considered as follows: max Cj j∈U. where Cj is the user rate, aVj LC is VLC network selection factor, aWj IFI is WIFI network selection factor, bVLC = BVLC /2|NVLC | is the unit sub-channel bandwidth in a VLC network, bWIFI is the unit sub-channel bandwidth in a WIFI network, NWIFI is AP sub-channel set for the WIFI network, sj,n is a Boolean variable, sub-channel allocation factors, if and only if the user occupies sub-channel n, sj,n = 1, the user located in a single cell can occupy multiple subchannels. The orthogonal multiple access technology is used to ensure that each user is assigned to a different number of sub-channels
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