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 achiev-able rates for Gaussian distributions inputs and practical finite-alphabet 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.
翻译:在本文中,我们分别研究了对可见光通信(VLC)的光学或正方位频率分解多式(ACO-OFDM)的光谱效率(SE)和能源效率(EEE),首先,我们得出高山分配投入和实用的有限碱性fabet 投入的近似率率。然后,我们分别根据传输总动力限制和上述两项投入的平均光电限制,调查了SE最大化问题。通过利用相互信息与最小平均偏差之间的关系,提出了最佳电力分配办法,以利用有限的阿尔法贝特投入使SEE最大化。为了减少电力分配计划的计算复杂性,我们得出了SEE的封闭式较低约束。此外,考虑到服务质量,我们进一步分别解决了ACO-OFDM的非电离子最大化问题。问题由拟议的Dinkelbach型迭接算法解决。在每种情况下,都应用内部点算法来获取最佳电力分配。SE的拟议电源分配计划是通过数字化分析得到验证的。