Abstract
End-to-end learning in optical communication systems is a promising technique to solve difficult communication problems, especially for peak to average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. The less complex, highly adaptive hardware and advantages in the analysis of unknown or complex channels make deep learning a valid tool to improve system performance. In this paper, we propose an autoencoder network combined with extended selected mapping methods (ESLM-AE) to reduce the PAPR for the DC-biased optical OFDM system and to minimize the bit error rate (BER). The constellation mapping/de-mapping of the transmitted symbols and the phase factor of each subcarrier are acquired and optimized adaptively by training the autoencoder with a combined loss function. In the loss function, both the PAPR and BER performance are taken into account. The simulation results show that a significant PAPR reduction of more than 10 dB has been achieved by using the ESLM-AE scheme in terms of the complementary cumulative distribution function. Furthermore, the proposed scheme exhibits better BER performance compared to the standard PAPR reduction methods.
Highlights
Visible light communication (VLC) based on light emitting diodes (LEDs) is a promising technology for indoor wireless access [1,2,3]
We investigate the performances of other peak to average power ratio (PAPR) reduction schemes such as basic AE network without extended Selected Mapping (ESLM) method, classical Selected Mapping (SLM) [41] using U = 128, BDC = 7 dB and amplitude clipping [30] with a different clipping ratio γ
This paper proposes an ESLM-AE network to reduce the PAPR value for the DCO-orthogonal frequency division multiplexing (OFDM) system
Summary
Visible light communication (VLC) based on light emitting diodes (LEDs) is a promising technology for indoor wireless access [1,2,3]. To overcome the multipath distortion caused by reflections from different sources inside a room and enhance the communication efficiency, the optical orthogonal frequency division multiplexing (OFDM) has been widely adopted in VLC systems [4,5,6,7]. The high peak to average power ratio (PAPR) associated with the OFDM signals is one of the main limitations for VLC systems due to the constraints on the average radiated optical power and the limited dynamic range of the front-end devices, like digital to analog converters and power amplifiers [8]. PAPR makes the VLC system more susceptible to non-linear distortions and drastically degrade the system’s performance [9,10,11].
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