Energy Efficiency Maximization in Cooperative Hybrid VLC/RF Networks with NOMA
Energy Efficiency Maximization in Cooperative Hybrid VLC/RF Networks with NOMA
复制标题
与 NOMA 合作的混合 VLC/RF 网络的能源效率最大化
DOI：
10.1109/iswcs49558.2021.9562202
复制
发表时间：
2021
期刊：
影响因子：
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通讯作者：
G. Karagiannidis
中科院分区：
文献类型：
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作者：
K. Rallis;V. Papanikolaou;P. Diamantoulakis;M. Khalighi;G. Karagiannidis
本文研究了一种基于非正交多址接入的可见光/射频混合协作网络。更具体地，考虑到混合网络的特殊性，优化系统的资源分配和操作模式以最大化加权能量效率度量。由此产生的优化问题有效地解决了与使用Dinkelbach的算法和凸规划的差异。使用此解决方案，训练深度神经网络（DNN）以找到操作模式并减轻整个问题的计算成本，从而获得接近最优的解决方案。最后，通过蒙特卡罗模拟结果，所提出的设置的有效性。
In this paper, a cooperative hybrid visible light communications (VLC)/radio frequency (RF) network that employs non-orthogonal multiple access (NOMA) is investigated. More specifically, the resource allocation and the operating mode of the system is optimized to maximize a weighted energy efficiency metric, taking into accounts the particularities of the hybrid network. The resulting optimization problem is efficiently tackled with the use of Dinkelbach's algorithm and difference of convex programming. Using this solution, a deep neural network (DNN) is trained to find the operation mode and alleviate the computational cost of the overall problem leading to a close solution to the optimal. Finally, the effectiveness of the proposed setup is presented via Monte Carlo simulation results.