IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G

• URL: http://arxiv.org/abs/2204.07854v1
• Date: Sat, 16 Apr 2022 18:14:14 GMT
• Title: IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
• Authors: Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja, Quoc-Viet Pham, Nawab Muhammad Faseeh Qureshi, Paolo Bellavista, Maurizio Magarini
• Abstract summary: Next-G networks have to deal with preambles corrupted by noise due to channel characteristics or environmental constraints. We propose an informative instance-based fusion network (IIFNet) to cope with random noise and to improve detection performance, simultaneously.
• Score: 11.605933594949251
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble detection is performed to maintain communication and synchronization between devices of the Internet of Everything (IoE) and next-generation nodes. Considering the scalability and traffic density, Next-G networks have to deal with preambles corrupted by noise due to channel characteristics or environmental constraints. We show that when injecting 15% random noise, the detection performance degrades to 48%. We propose an informative instance-based fusion network (IIFNet) to cope with random noise and to improve detection performance, simultaneously. A novel sampling strategy for selecting informative instances from feature spaces has also been explored to improve detection performance. The proposed IIFNet is tested on a real dataset for preamble detection that was collected with the help of a reputable company (AZCOM Technology).

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