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Optical Communication is a cornerstone of modern information technology, enabling high-speed, high-capacity data transmission through the use of light waves, typically via fiber optic cables. This technology underpins global internet connectivity, telecommunication networks, and data center operations, offering unparalleled bandwidth, low signal attenuation, and immunity to electromagnetic interference.
At the Academy of Technology (AOT), research in optical communication focuses on both fundamental and applied aspects of photonics and fiber optics. Faculty and students work on designing advanced modulation formats, wavelength-division multiplexing (WDM) techniques, and optical amplification systems to maximize data throughput. Studies also explore nonlinear effects in optical fibers, signal processing algorithms for dispersion compensation, and integration of optical systems with emerging 5G and beyond-5G communication networks. Practical applications of AOT’s research extend to high-speed internet infrastructure, satellite communication links, and undersea cable systems that form the backbone of global information exchange. In industrial and defense sectors, optical communication ensures secure, high-capacity data transfer over long distances with minimal latency. Researchers are also exploring free-space optical communication for applications in space missions and remote sensing, enabling robust links where traditional wired connections are not feasible.
Looking ahead, AOT’s work in optical communication will emphasize integration with photonic integrated circuits (PICs), quantum communication protocols, and energy-efficient network designs. By advancing these technologies, AOT aims to contribute to the next generation of communication systems that will support exponential growth in global data demand. Through this research, the Academy of Technology continues to play a pivotal role in shaping the future of high-speed, reliable, and sustainable communication networks.
Problem Description: A good quality Local Oscillator (LO) is a key component in a Direct Conversion Transmitter (DCT), which can generate and transmit radio frequency (RF) signals directly from the baseband frequencies. Low-phase noise RF signals with long-term frequency stability can be generated using an Optoelectronic oscillator (OEO), which is a potential device that can act as LO in DCT. Injection-pulling is a common phenomenon in DCT, where the injection of co-frequency modulating spurious tones originating from the DCT output signal often degrades the LO phase noise performance. It is highly important to study the deleterious effects of LO injection-pulling on the signal quality of both LO output signal and the DCT output signal, considering an OEO as LO in DCT.
Problem Description: A wide range of applications, including 5G wireless networks, have employed optoelectronic oscillators (OEOs) as local oscillators (LOs) to produce complex and single-frequency signals with minimal phase noise in the microwave, mm-wave, and terahertz (THz) bands. Numerous embedded components, including power amplifiers and OEOs, are used in radio frequency (RF) trans-receiver circuits in modern wireless communication systems. The nonlinearity of the OEO output around the OEO carrier frequency can result in harmonic components, and signal leakage through the substrate might combine with other OEOs to cause frequency pulling which is undesired. It is necessary to look into these crucial aspects of phase-locking phenomena and related frequency pulling effects in OEO caused by RF signal injection.
Problem Description: The work proposes a machine learning-based approach for real-time optimization of the optimal detection threshold (ODT) in WDM systems affected by linear and nonlinear crosstalk. By modeling a WDM receiver with a generalized crosstalk framework and using gradient descent with regression techniques, the method accurately estimates ODT without complex analytical computations. It correlates ODT with key parameters like interferer count, crosstalk level, and input power. The approach adapts to nonlinear scenarios via hybrid regression models. Validated through regression-based metrics, the solution enhances transmission quality and network resilience, offering scalable, intelligent threshold optimization for evolving optical networks.
Problem Description: Our objective is to study the effect of graphene layers placed over a silicon waveguide grating for its dynamic filtering properties. By applying a suitable voltage to the grapheme layer, it is possible to have a tunable spectrum for Bragg waveguide grating. If we employ the same principle and keep the grating period Ʌ of the order of hundreds of microns, it is possible to have another class of longitudinal gratings known as Long Period Gratings.
Supervisor: Dipanjan De (ECE Department)
Year: 2024-26
G.T.Road (Adisaptagram), Aedconagar
Hooghly-712121 West Bengal, India
(+91) 9831021706
(+91) 9830161441
academy@aot.edu.in
placement@aot.edu.in
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