Browsing by Author "Siddiqi, U. F."
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Deep Q-learning based optimization of VLC systems with dynamic time-division multiplexing
Siddiqi, U. F.; Sait, S. M.; Uysal, Murat (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
Siddiqi, U. F.; Sait, S. M.; Uysal, Murat (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 ... -
Joint bit and power loading for adaptive MIMO OFDM VLC systems
Siddiqi, U. F.; Narmanlıoğlu, Ömer; Uysal, Murat; Sait, S. M. (Wiley, 2020-07)Visible light communication (VLC) is a short-range wireless access technology based on the dual use of illumination structure. The frequency-selective characteristics of VLC channels motivate the use of orthogonal frequency ... -
Resource allocation for visible light communication systems using simulated annealing based on a problem-specific neighbor function
Siddiqi, U. F.; Sait, S. M.; Demir, Muhammet Selim; Uysal, Murat (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 ...
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