ANN Equalizer for Ultra-high Capacity Multiplexed IsOWC system

In the present scenario, ultra-high bit rate communication systems are highly indispensable for 5G and 6G wireless communication applications such as: live video streaming, autonomous driving, online gaming, drone-based delivery etc. For smooth operations, spectrally efficient and low bit error communication system are highly essential. But the conventional RF based systems cannot support this demand. So, to meet these ever-growing requirements, optical systems are the viable option. It enables ultra-high data rate (~ 40Gbps), ultra-low latency (<1ms), ultra reliable, wide range of coverage, integrating with air/space and under water networks. The optical wireless communication (OWC) system and inter-satellite optical wireless communication (IsOWC) technology look promising for meeting all these high demand applications. IsOWC system is a type of OWC setup that ensures faster data transfer between satellites in space. The key drawbacks of IsOWC system includes attenuation, pointing error, channel impairments, background noise etc. In this work, an IsOWC system is proposed with Dual Polarization Quadrature Phase Shift Keying (DP-QPSK) modulation and artificial neural network (ANN) based equalizer, which overcomes these challenges. Performance parameters like bit error rate (BER), time domain visualizers, link distance, OSNR are used here. The proposed model will be highly useful for upcoming ultra-high speed communication applications.