Optical Wireless Communication PerformanceEnhancement using Hamming Coding and EfficientAdaptive Equalizer with a Deep Learning BasedQuality Assessment Applied Optics
- Bidaa Abul hassan, Hannan Ghanem, Randa S. Hammad, Safie eldin Mohamed, Ahmed Sedik, Rania Eltaieb, Walid El-Shafai, ahmed rashed, Mohsen A. M. El-Bendary, Mohammed Salah F. Tabbour, Ghada M. El Banby, Ashraf A.M. Khalaf, Ahmed Farghal, HossamEl-din Ahmed, gamal A. Hussein, El-sayed M. El-Rabaie, Ibrahim M. Eldokany, Moawad I. Dessouky, Abdelnaser mohamed, Osama Zahran, Maha Elsabrouty, Hesham Fathi, Gerges Salama, Said El-Khamy, Hossam Shalaby, and Fathi Abd El-Samie
- received 01/11/2021; accepted 03/02/2021; posted 03/03/2021; Doc. ID 418438
- Abstract: Optical Wireless Communication (OWC) technology is one of several alternative technologies for addressing the RFlimitations for applications in both indoor and outdoor architectures. Indoor optical wireless systems suffer from noise and InterSymbol Interference (ISI). These degradations are produced by the wireless channel multipath effect, which causes data ratelimitation, and hence overall system performance degradation. On the other hand, outdoor OWC suffers from several physicalimpairments that affect transmission quality. Channel coding can play a vital role in the performance enhancement of OWC systemsto ensure that data transmission is robust against channel impairments. In this paper, an efficient framework for OWC in developingAfrican countries is introduced. It is suitable for OWC in both indoor and outdoor environments. The outdoor scenario will be suitableto wild areas in Africa. A detailed study of the system stages is presented to guarantee the suitable modulation, coding, equalization,and quality assessment scenarios for the OWC process, especially for tasks such as image and video communication. Hamming andLow-Density Parity Check (LDPC) coding techniques are utilized with an asymmetrically clipped DC-Offset Optical OrthogonalFrequency Division Multiplexing (ADO-OFDM) scenario. The performance versus the complexity of both utilized techniques forchannel coding is studied, and both coding techniques are compared at different coding rates. Another task studied in this paper ishow to perform efficient adaptive channel estimation and hence equalization on the OWC systems to combat the effect of ISI. Theproposed schemes for this task are based on the adaptive Recursive Least Squares (RLS) and the adaptive Least Mean Square (LMS)algorithms with Activity Detection Guidance (ADG) and Tap Decoupling (TD) techniques at the receiver side. These adaptive channelestimators are compared with the adaptive estimators based on the standard LMS and RLS algorithms. Moreover, this paper presentsa new scenario for quality assessment of optical communication systems based on the regular transmission of images over the systemand quality evaluation of these images at the receiver based on a trained Convolutional Neural Network (CNN). The proposed OWCframework is very useful for developing countries in Africa due to its simplicity of implementation with high performance.