Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks

In this paper, we investigate the performance of a practical aggregated LiFi-WiFi system with the discrete constellation inputs from a practical view. We derive the achievable rate expressions of the aggregated LiFi-WiFi system for the first time. Then, we study the rate maximization problem via opt...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2022-06, Vol.21 (6), p.3979-3993
Main Authors: Ma, Shuai, Zhang, Fan, Lu, Songtao, Li, Hang, Yang, Ruixin, Shao, Sihua, Wang, Jiaheng, Li, Shiyin
Format: Article
Language:English
Subjects:
Aggregated LiFi-WiFi system
discrete constellation inputs
Electric power distribution
Light fidelity
Lower bounds
Optical receivers
Optical transmitters
Optimization
power allocation
probabilities allocation
Probability distribution
Resource management
Wireless communication
Wireless fidelity
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Summary:In this paper, we investigate the performance of a practical aggregated LiFi-WiFi system with the discrete constellation inputs from a practical view. We derive the achievable rate expressions of the aggregated LiFi-WiFi system for the first time. Then, we study the rate maximization problem via optimizing the constellation distribution and power allocation jointly. Specifically, a multilevel mercy-filling power allocation scheme is proposed by exploiting the relationship between the mutual information and minimum mean-squared error (MMSE) of discrete inputs. Meanwhile, an inexact gradient descent method is proposed for obtaining the optimal probability distributions. To strike a balance between the computational complexity and the transmission performance, we further develop a framework that maximizes the lower bound of the achievable rate where the optimal power allocation can be obtained in closed forms and the constellation distributions problem can be solved efficiently by Frank-Wolfe method. Extensive numerical results show that the optimized strategies are able to provide significant gains over the state-of-the-art schemes in terms of the achievable rate.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3125954