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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 ...
SLIPT for underwater visible light communications: Performance analysis and optimization
(IEEE, 2021-10)
In this paper, we investigate simultaneous lightwave information and power transfer (SLIPT) for underwater visible light communication systems. We consider three SLIPT methods namely time switching (TS), power splitting ...
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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