User association with lighting constraints in visible light communication systems

Shen, Cong; Lou, Shun; Gong, Chen; Xu, Zhengyuan

doi:10.1109/ciss.2016.7460505

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…For joint processing, both joint transmission (JT) [8,9,16,17] and dynamic cell selection (DCS) techniques have been studied [7]. From the above, user association in NOMA-VLC [18] is an important base for these multi-cell techniques; traditional proximity access principles [16,[19][20][21] favor the move towards the proximity of a transmitting light emitting diode (LED). In addition, the principles of user association can be evaluated based on the received signal strength [22] and signal-to-noise ratio [17,23,24].…”

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confidence: 99%

Performance analysis of user association strategy based on power-domain non-orthogonal multiple access in visible light communication multi-cell networks

Tao

et al. 2020

J Wireless Com Network

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A multi-cell visible light communication (VLC) network with non-orthogonal multiple access (NOMA) introduces an inter-cell interference (ICI), which causes poor experience of overlap-area user association. In this study, we focus on the strategic analysis of user association in multi-cell NOMA-VLC networks and reveal the relationship between the performance of user association and visible-light cell deployment. First, we establish the model of power-domain NOMA in multiple cells of VLC. Second, when the principle of proximity access (PPA) considers channel attenuation, we present the violation of the principle of proximity access (VPPA) based on signal-to-interference-plus-noise ratio (SINR) and derive a closed-form sufficient condition for overlap-area users based on the visible light channels. Third, based on the sufficient condition, we perform the strategic analysis of user association in two cases, i.e., the scenario probability with different numbers of users and the probability of the ratio of channel gains with an edge user are deduced. In addition, we evaluate the performance of user association by the deployment of lighting angles and inter-cell distance. Finally, the simulation results indicate that the VPPA achieves better data rate performance than the PPA based on the sufficient condition. Furthermore, the probability distributions in numerical results show that the situations with the VPPA reach a certain scale of occurrence probability.

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confidence: 99%

Performance analysis of user association strategy based on power-domain non-orthogonal multiple access in visible light communication multi-cell networks

Tao

et al. 2020

J Wireless Com Network

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A novel approach to fair power allocation for NOMA in visible light communication

Vela,

Hacioglu

2024

Opt Quant Electron

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Deep Q-Network Learning Based Downlink Resource Allocation for Hybrid RF/VLC Systems

Shrivastava

Chen

et al. 2020

IEEE Access

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Developing high data rate systems to meet the requirements of fifth generation mobile systems has become crucial. Hybrid radio frequency/visible light communication (RF/VLC) has appeared as a promising mechanism for achieving this objective. In hybrid RF/VLC, data rate maximization is subject to constraints on bandwidth, power and the user association. The joint optimization problem of bandwidth, power and user association to maximize the data rate is non-concave and obtaining an optimal solution is difficult with conventional optimization algorithms. The existing solutions are based on a presumption of at least one optimization variable. In this paper, this issue has been overcome by solving the joint optimization problem in hybrid RF/VLC with a deep Q-network (DQN) learning based algorithm, which has been recognized as an efficient learning based mechanism for optimization. Our system model considers one RF and multiple VLC access points (APs). The idle APs are also incorporated in the system model. The application of DQN learning based algorithm is carried out by finding an optimal policy with the help of an action-value function. As the data sets for the considered system are large, a multi-layered network is used for approximating the action-value function estimator. Finally, a transfer learning based algorithm has been proposed for maximizing the total data rate of the system for the case of a newly entering user equipment (UE) that uses the information of the environment before the arrival of the new UE. Through simulations, it is found that our proposed algorithms can lead to an improvement of more than 10% and 54% in the achievable sum-rate and number of iterations for convergence respectively as compared to that obtained with existing conventional optimization algorithms.

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User association with lighting constraints in visible light communication systems

Cited by 6 publications

References 21 publications

Performance analysis of user association strategy based on power-domain non-orthogonal multiple access in visible light communication multi-cell networks

Performance analysis of user association strategy based on power-domain non-orthogonal multiple access in visible light communication multi-cell networks

A novel approach to fair power allocation for NOMA in visible light communication

Deep Q-Network Learning Based Downlink Resource Allocation for Hybrid RF/VLC Systems

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