Performance Optimization of Diagonal Identity Matrix and Enhanced Double Weight Codes in Terms of Security for Short Haul Communication
Simarpreet Kaur1, Simranjit Singh2
1Simarpreet Kaur, Department of Electronics and Communication Engineering, Punjabi University, Patiala, 147002, Punjab.
2Simranjit Singh, Department of Electronics and Communication Engineering, Punjabi University, Patiala, 147002, Punjab.

Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2301-2304 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5912018520/2020©BEIESP | DOI: 10.35940/ijrte.E5912.018520

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Abstract: Optical code division multiplexing is getting attention because it is an imminent multiple access technology which can cater ever increasing data traffic as well as multiple user access in optical networks. In this work, a zero cross correlation based diagonal identity matrix code is presented and it is compared with the enhanced double weight code to check the superior code in OCDMA system at data speed of 30 Gbps. Effect of some parameters of OCDMA system which prominently affects the security of the system and these are input power, linewidth and modulator extinction ratio. Optimization using single parameter optimization and multiple parameter optimizations has been done. In order to accomplish the work, optiwave optisystem software is used and extensive literature survey is done, issues encountered are carefully checked and to address the issues, proposed system is presented. Results are evaluated in terms of Q factor, bit error rate (BER) and signal to noise ratio. Novelty of proposed work is the search of optimal parameters of both the codes in terms of enhanced security such that eavesdropping at these optimal parameters will become tedious for unauthorized user.
Keywords: Diagonal Identity Matrix (DIM), Enhanced Doubleweight code (EDW), Optical Code Division Multiple Access system (OCDMA), Zero Cross-Correlation (ZCC), Multiple Access Interference (MAI), Optimization, Security.
Scope of the Article: Security, Privacy and Trust in IoT & IoE.