Machine Learning Algorithms for Predicting Electricity Consumption of Buildings |
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Authors: | Hosseini Soodeh Fard Reyhane Hafezi |
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Affiliation: | 1.Department of Engineering and Technology, GNDU, RC, Jalandhar, Punjab, India ;2.Department of ECE, BCET, Gurdaspur, Punjab, India ;3.Department of PGP, IIM Amritsar, Amritsar, Punjab, India ; |
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Abstract: | Inter-satellite optical wireless communication (IsOWC) is a developing free-space optical technology used to communicate among satellites in space. At the same time, SAC-OCDMA (spectral amplitude coding optical code division multiple access) is an encouraging research area in the domain of optical communication because of its high bandwidth, speed, huge capacity, and ability to carry bursty and asynchronous information transmission. The present paper is concerned with the hybrid IsOWC non-coherent SAC-OCDMA system based on PM-ZCC (Permutation Matrix Zero Cross-Correlation) code for long-range high data rate transmission. The advanced modulation format (CSRZ) and direct detection (DD) techniques have been used to design the proposed system. The system is designed for five stations (each carrying 10 Gb/s). The system's performance is investigated for pointing error (with and without) over a space distance up to 12000 km in terms of Q factor, eye diagrams, BER and SNR. Moreover, the performance of a single IsOWC link has also been compared with multiple IsOWC links for a distance of 6500 km at 10 Gb/s data rate. The results show that system performance improves by using CSRZ format and multiple ISL links. |
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