MZI switches are well-known devices for high speed communication applications. A lot of researchers have designed MZI switches by using lithium niobate and potassium niobate material. But the major problem of using these type of material includes high insertion losses and required high switching voltage. So, in this research paper we have designed a 2×2 electro-optic switch using optical waveguide designed with Titanium (Ti) diffused in Strontium barium niobate (SBNO3) material which can operate at wavelength of 1.3 um. Results show that the proposed structure gives better output in terms of extinction ratio (=29.9 db) as well as for insertion losses (≤0.018). Further, we have designed various optical gates i. e. XNOR, XOR and AND optical gates and their performance is also evaluated by varying electrode voltages. It is inferred from the results that the proposed model gives better results even in terms of output power which can be used for commercial purpose.
Existing single-channel orthogonal frequency division multiplexing (OFDM) system can transmit data from single source to single destination occupying the entire link but bit error rate (BER) provided by these systems is quite high. The multichannel system gives the liberty to route the traffic through the different channels depending upon the availability. So there is a need to design a multichannel system which can transmit the data at higher rate by transmitting multiple symbols simultaneously with improved BER. So, in this research work, we propose a multichannel OFDM system by using an advanced modulation technique, i. e. quadrature amplitude modulation which not only improves the capacity but also makes the system power efficient. In order to demonstrate that our proposed system is power efficient, a set of simulations have been performed. Results show that BER (as a function of power) obtained for the proposed system is low in comparison to the already existed phase shifting keying- and differential phase shift keying-based system.
The advent of Cloud computing has acted as a catalyst for the design and deployment of scalable Internet of Things business models and applications. Therefore, IoT and Cloud are nowadays two very closely affiliated future internet technologies, which go hand in hand in non-trivial IoT deployments. Furthermore, most modern IoT ecosystems are cloud-based, as will be illustrated in the chapter. This chapter briefly introduces the main cloud computing and IoT standards.
The bit error rate (BER) in optical communication systems is often get degraded due to various factors like launch power, dispersion, modal noise, and so on. Finding the most optimal launch power for a signal to provide acceptable BER is usually difficult on an installed link. Therefore, in this paper, an attempt has been made to use machine learning-based linear regression technique for predicting the optimal signal quality for spatial division multiplexed (SDM)-based fiber optical transmission system for a fixed distance. This technique helps in predicting the optimal value of continuous launch power. Therefore, to demonstrate the given concept in this research work, the generic setup of an SDM optical long-haul system of 20 km in length has been designed and simulated in Optisystem-14.0. The light sources in our experiments are two spatial optical transmitters with an emission wavelength of around 1550 nm. Abiding to the first step for the regression analysis, that is the data preparation, normality and correlation checks were performed. After this, a linear regression model is developed which was validated through a summary report, coefficients and diagnostic plots. Furthermore, the accuracy of the model is improved by employing Cook's distance. These tests help in dealing with the influence points that hinders the prediction ability of the proposed model. The results show that the R-squared value is 0.9366, and value of adjusted R 2 comes out to be around 0.9344; we therefore came to infer that the model explains nearly 94% variations in the dependent variables.
K E Y W O R D Sbit error rate (BER), launch power (LP), linear regression, optical transmission systems, spatial division multiplex (SDM)
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