Published November 30, 2023 | Version v1
Journal article Open

Spectral and Energy Efficiency of DCO-OFDM in Visible Light Communication Systems with Finite-Alphabet Inputs

  • 1. ROR icon China University of Mining and Technology
  • 2. University of Mining and Technology, Xuzhou, China
  • 3. Southwest Jiaotong University, Chengdu, China
  • 4. Southeast University, Nanjing, China
  • 5. ROR icon Institut Supérieur d'Électronique de Paris
  • 6. University of Aeronautics and Astronautics, Nanjing, China
  • 7. University of New South Wales

Description

In this paper, we study the spectral efficiency (SE) and energy efficiency (EE) of asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) for visible light communication (VLC). Firstly, we derive the achievable rates for Gaussian distributions inputs and practical finitealphabet inputs. Then, we investigate the SE maximization problems subject to both the total transmit power constraint and the average optical power constraint with the above two inputs, respectively. By exploiting the relationship between the mutual information and the minimum mean-squared error, an optimal power allocation scheme is proposed to maximize the SE with finite-alphabet inputs. To reduce the computational complexity of the power allocation scheme, we derive a closed-form lower bound of the SE. Also, considering the quality of service, we further tackle the non-convex EE maximization problems of ACO-OFDM with the two inputs, respectively. The problems are solved by the proposed Dinkelbach-type iterative algorithm. In each iteration, the interior point algorithm is applied to obtain the optimal power allocation.The performance of the proposed power allocation schemes for the SE and EE maximization are validated through numerical analysis.

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Funding

European Commission
6G BRAINS – Bring Reinforcement-learning Into Radio Light Network for Massive Connections 101017226