Journal article

Recurrent neural network FPGA hardware accelerator for delay-tolerant indoor optical wireless communications.

Jeonghun Lee, Tingting Song, Jiayuan He, Sithamparanathan Kandeepan, Ke Wang

Opt Express | Published : 2021

Abstract

The optical wireless communication (OWC) system has been widely studied as a promising solution for high-speed indoor applications. The transmitter diversity scheme has been proposed to improve the performance of high-speed OWC systems. However, the transmitter diversity is vulnerable to the delay of multiple channels. Recently neural networks have been studied to realize delay-tolerant indoor OWC systems, where long-short term memory (LSTM) and attention-augmented LSTM (ALSTM) recurrent neural networks (RNNs) have shown their capabilities. However, they have high computation complexity and long computation latency. In this paper, we propose a low complexity delay-tolerant RNN scheme for ind..

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University of Melbourne Researchers