A deep learning long short-term memory model for reduction of inter-carrier interference in orthogonal frequency division multiplexing systems

Abstract

Wireless network performance depends extensively on the carrier interference. Inter-carrier interference (ICI) can be caused by several factors, including carrier frequency offsets, Doppler spread due to channel time variation, and sampling frequency offsets, which degrade the performance of an orthogonal frequency division multiplexing (OFDM) system. Hence, reducing ICI is a major task in communication systems. The lower the ICI, the higher the performance of the OFDM system. Moreover, the application of deep learning has demonstrated significant improvements in communication reliability and reduced the computational complexity of 5G and subsequent networks. Deep learning combined with ICI self-cancellation techniques yields promising results. In this paper, a hybrid framework leveraging mirror-based techniques is developed to enhance data robustness and mitigate interference while using deep learning models for adaptive, real-time ICI prediction and suppression. We incorporated multiple symbol rates and multi-carrier vector transmission at the physical layer to improve signal resilience against channel imperfections. These techniques were used in conjunction with deep learning models such as long short-term memory (LSTM) to predict ICI patterns and dynamically adjust mirror-based symbol-repetition parameters to optimize signal quality. The LSTM was incorporated with an attention mechanism. Improved interference cancellation was observed through the combined strength of symbol repetition and adaptive neural network-based interference prediction. The performance of the proposed work was evaluated using two modulation techniques: quadrature phase-shift keying and binary phase-shift keying. The results for bit error rate and carrier-to-interference ratio were best with ICI self-cancellation combined with LTSM. In summary, the proposed approach improves OFDM system performance by eliminating ICI and enhancing signal quality.

Keywords

Orthogonal frequency division multiplexing system / Inter-carrier interface / Self-inter-carrier interface cancellation / Long short-term memory / Bit error rate / Modulation techniques

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