Hypergraph Based Resource Allocation Algorithms for VLC Network With Heterogeneous LEDs and Varied Users
Hypergraph Based Resource Allocation Algorithms for VLC Network With Heterogeneous LEDs and Varied Users
复制标题
基于超图的异构 LED 和不同用户的 VLC 网络资源分配算法
DOI：
10.1109/jphot.2021.3103660
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发表时间：
2021-08
影响因子：
2.4
通讯作者：
Shang Tao
中科院分区：
文献类型：
--
作者：
Bai Bo;Deng Jiajun;Jin Xianqing;Su Bo;Shang Tao
可见光通信（VLC）具有射频通信无法比拟的优势，被认为是最有潜力和最有前途的无线通信技术之一。然而，密集部署的发光二极管（LED）灯引入严重的信道间干扰（ICI），这大大恶化了VLC网络的性能。此外，异构LED灯具有限的无线接入能力，以及不同用户设备（UE）的不同数据传输需求，将给VLC网络在实际应用中带来新的挑战。为了减轻ICI，提高VLC网络的性能，详细介绍了超图理论。一个UE与其所有可用的LED接入点（AP）之间的有效数据链路被视为超边缘以形成用于每个UE的非晶小区。综合考虑用户满意度、频谱效率和服务公平性，提出了基于载波聚合的非分层资源分配算法和基于载波聚合和协作传输的直接重叠资源分配算法。仿真结果表明，本文提出的RA算法在用户满意度、频谱利用率和服务公平性等方面均优于经典的Dsatur RA算法。
With distinguished advantages over radio frequency communication, visible light communication (VLC) has been considered as one of the potential and promising wireless communication technologies. However, the densely deployed light emitting diode (LED) lamps introduce severe inter channel interference (ICI), which drastically deteriorates the VLC network performance. In addition, the limited wireless access capabilities of heterogeneous LED lamps, as well as the different data transmission requirements of varied user equipments (UEs), will bring new challenges to the VLC network in real-life applications. To mitigate the ICI and improve the VLC network performance, the hypergraph theory is introduced in detail. Effective data links between one UE and all of its available LED access points (APs) are taken as a hyperedge to form an amorphous cell for each UE. Considering the UE satisfaction performance, as well as the spectrum efficiency and service fairness, the non-layered resource allocation (RA) algorithm based on carrier aggregation and the directly overlapped RA algorithm based on carrier aggregation and cooperative transmission are proposed. Numeric results show that the proposed RA algorithms outperform the classic Dsatur RA algorithm in terms of the UE satisfaction, spectrum efficiency and service fairness.