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Deep Q-learning based optimization of VLC systems with dynamic time-division multiplexing
(IEEE, 2020)
The traditional method to solve nondeterministic-polynomial-time (NP)-hard optimization problems is to apply meta-heuristic algorithms. In contrast, Deep Q Learning (DQL) uses memory of experience and deep neural network ...
Deep reinforcement based power allocation for the max-min optimization in non-orthogonal multiple access
(IEEE, 2020)
NOMA is a radio access technique that multiplexes several users over the frequency resource and provides high throughput and fairness among different users. The maximization of the minimum the data-rate, also known as ...
Resource allocation for visible light communication systems using simulated annealing based on a problem-specific neighbor function
(IEEE, 2019)
In this paper, we consider a visible light communication (VLC) system with direct current-biased orthogonal frequency division multiplexing (DC-OFDM) and investigate resource allocation for a multi-user environment. Based ...
Coordinated beamforming design for multi-user multi-cell MIMO VLC networks
(IEEE, 2022-06)
Inter-cell interference (ICI) and inter-user interference (IUI) constitute a major issue towards achieving the optimum spectral efficiency (SE) and energy efficiency (EE) performance in multi-cell visible light communication ...
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