Complex-Valued Symbol Transmissions in Filter Bank Multicarrier Systems using Filter Deconvolution
Adnan Zafar, Mahmoud Abdullahi, Lei Zhang, Sohail Taheri, Pei Xiao and, Muhammad Ali Imran

TL;DR
This paper introduces a low-complexity, interference-free filter bank multicarrier system using filter deconvolution, enabling complex-valued symbol transmission and outperforming traditional OFDM in asynchronous scenarios.
Contribution
It proposes a novel filter deconvolution method that completely removes intrinsic interference in FBMC/QAM systems, allowing for complex signaling and improved performance.
Findings
Complete interference cancellation at the receiver.
Enhanced SINR compared to conventional methods.
Outperforms OFDM in asynchronous multiservice scenarios.
Abstract
Transmission of complex-valued symbols using filter bank multicarrier systems has been an issue due to the self-interference between the transmitted symbols both in the time and frequency domain (so-called intrinsic interference). In this paper, we propose a novel low-complexity interference-free filter bank multicarrier system with QAM modulation (FBMC/QAM) using filter deconvolution. The proposed method is based on inversion of the prototype filters which completely removes the intrinsic interference at the receiver and allows the use of complex-valued signaling. The interference terms in FBMC/QAM with and without the proposed system are analyzed and compared in terms of mean square error (MSE). It is shown with theoretical and simulation results that the proposed method cancels the intrinsic interference and improves the output signal to interference plus noise ratio (SINR) at the…
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Taxonomy
TopicsPAPR reduction in OFDM · Optical Network Technologies · Wireless Communication Networks Research
