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Assistant Professor HE, and Associate Professor LIM, Security and Networks Area, received Best Paper Award in ITNAC 2021

Assistant Professor HE, Cuiwei, and Associate Professor LIM, Yuto, Security and Networks Area, received Best Paper Award in the 31st International Telecommunication Networks and Applications Conference (ITNAC 2021).

ITNAC 2021 was held as a virtual conference during 24-26 November 2021. Previously, ITNAC was based in Australia and New Zealand.
ITNAC 2021 is an international conference and forum for the presentation of research outcomes covering timely and relevant aspects concerning modelling and simulation of distributed, mobile, cognitive and cloud computing, computer and data communications, local and metropolitan networks, optical, wired and wireless telecommunication networks and applications. This Conference is technically co-sponsored by the IEEE Computer Society and the IEEE Communications Society.

One paper was selected with the Best Paper Award among all presented articles.

■Date Awarded
November 25, 2021

Linear and Non-linear Signal Reconstruction for Clipping Noise Mitigation in Optical OFDM

Cuiwei He and Yuto Lim

In this paper, a new decision-directed signal reconstruction (DDSR) algorithm is proposed for clipping noise mitigation in optical orthogonal frequency division multiplexing (OFDM). OFDM is increasingly being considered as the modulation method for the next-generation intensity modulation/direct detection (IM/DD) based optical transmission systems. When optical OFDM is used, clipping noise remains one of the main challenges. In previous studies, a time-domain based DDSR algorithm has been used to effectively mitigate the clipping noise. In this algorithm, based on the preliminary data detection decisions, an unclipped version of the OFDM signal is reconstructed non-linearly which can be decoded with better performance compared with the conventional OFDM signal detection method. However, due to the influences of the unavoidable noise at the receiver, many clipped signal samples cannot be correctly processed which significantly limits the advantages of using this algorithm. In this paper, a new linear signal reconstruction method is proposed. Using this linear approach, all clipped signal samples can be successfully updated in the signal reconstruction process which consequently mitigates the clipping noise more effectively compared with the previous non-linear methods. Simulation results are presented to show that, when this new form of DDSR method is used, the bit error rate (BER) performance of the system is significantly improved compared with both the conventional receiver and the previous non-linear DDSR receiver.

It was a great honor for us to receive the Best Paper Award from ITNAC 2021. We will take it as an encouragement for our future works.


January 12, 2022