Research on Optimal Spectral Efficiency of Orthogonal Frequency Division Multiplexing Visible Light Communication-Radio FrequencyAggregation System Based on Finite Alphabet Inputs

MA Shuai; LU Shanmei; HE Lingyan; SHENG Haihong; CAO Shiyu; FANG Xiao; WANG Hongmei; LI Shiyin

doi:10.11999/JEIT220521

Volume 45 Issue 6

Jun. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(6): 2034-2044

MA Shuai, LU Shanmei, HE Lingyan, SHENG Haihong, CAO Shiyu, FANG Xiao, WANG Hongmei, LI Shiyin. Research on Optimal Spectral Efficiency of Orthogonal Frequency Division Multiplexing Visible Light Communication-Radio FrequencyAggregation System Based on Finite Alphabet Inputs[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2034-2044. doi: 10.11999/JEIT220521

Citation:

MA Shuai, LU Shanmei, HE Lingyan, SHENG Haihong, CAO Shiyu, FANG Xiao, WANG Hongmei, LI Shiyin. Research on Optimal Spectral Efficiency of Orthogonal Frequency Division Multiplexing Visible Light Communication-Radio FrequencyAggregation System Based on Finite Alphabet Inputs[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2034-2044. doi: 10.11999/JEIT220521

Citation:

MA Shuai, LU Shanmei, HE Lingyan, SHENG Haihong, CAO Shiyu, FANG Xiao, WANG Hongmei, LI Shiyin. Research on Optimal Spectral Efficiency of Orthogonal Frequency Division Multiplexing Visible Light Communication-Radio FrequencyAggregation System Based on Finite Alphabet Inputs[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2034-2044. doi: 10.11999/JEIT220521

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Research on Optimal Spectral Efficiency of Orthogonal Frequency Division Multiplexing Visible Light Communication-Radio FrequencyAggregation System Based on Finite Alphabet Inputs

doi: 10.11999/JEIT220521

1.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
2.
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
3.
Shaanxi Province Information and Communications Network and Security Laboratory, Xi’an University of Posts and Telecommunications, Xi’an 710121, China

Funds: The National Science Fund for Young Scholars (62101557), The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (2021D02)

Received Date: 2022-04-27
Rev Recd Date: 2022-06-28

Available Online: 2022-07-05

Publish Date: 2023-06-10

Abstract

Abstract

So far, the information theory of Orthogonal Frequency Division Multiplexing (OFDM) Visible Light Communication (VLC) and Radio Frequency (RF) aggregation systems based on finite alphabet inputs is still unknown. Based on this situation, the achievable rate of unclosed expression and the lower bound with closed expression of OFDM VLC-RF aggregation system are derived, and the maximization of Spectral Efficiency (SE) based on achievable rate and its lower bound satisfying the constraints of average optical power and total electric power is studied. In this paper, the relationship between mutual information and Minimum Mean Square Error (MMSE) is used to deal with the rate partial derivative, and the double Water-filling algorithm is proposed to solve the maximization problem of spectral efficiency. Because the non-closed form of spectral efficiency leads to high computational complexity of the double Water-filling algorithm, this paper further studies the problem of spectral efficiency maximization with closed form and uses the interior point method to solve it. The simulation results show that the aggregation system has the advantages in communication performance compared with a single link, and the spectral efficiency based on the lower bound of achievable rate can be used as a good low complexity approximation of the spectral efficiency based on achievable rate.

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References(24)

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