National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Syllabus

Course Details

Subject {L-T-P / C} : EE6117 : Optical Communication and Network { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Suman Kr. Dey

Syllabus

Module 1 :

MODULE-I (7 hours)
Optical Networking: Principles and Challenges Enabling Technologies: Building Blocks Modulation and De-modulation Transmission System Engineering.
MODULE-II (7 hours)
Local, Access, and Metro Networks: Single-Hop Networks, Multihop Networks, Optical Access Networks, Optical Metro Networks.
MODULE-III (7 hours)
Wavelength-Routed (Wide-Area) Optical Networks: Routing and Wavelength Assignment Elements of Virtual Topology Design Virtual Topology - LP, Cost, Reconfiguration Wavelength Conversion Survivable WDM Networks.
MODULE-IV (10 hours)
Traffic Grooming All-Optical Impairment-Aware Routing Network Control and Management Optical Packet Switching (OPS) Optical Burst Switching (OBS) Application of ML for optical networking.
MODULE-V (5 hours)
Machine Learning: Introduction, Linear Regression, Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Reinforcement Learning, Deep Learning.

Course Objective

1 .

To understand the basic concepts of optical components, modulation techniques, and optical transmission systems.

2 .

To understand the basic concepts of Local, Access, and Metro Networks.

3 .

To build fundamental concepts in Wide-Area Optical Networks for optimal resource assignment and design as per the industrial requirements in the presence of optical impairments.

4 .

To comprehend various ML-based optical networks' control and management.

Course Outcome

1 .

Understand the basic concepts of optical transmission system.

2 .

Acquire knowledge to design optical access and metro networks.

3 .

Acquire knowledge to design optical core networks and optical resource allocation.

4 .

Develop efficient survivability methods for optical networks.

5 .

Analyze the impact of grooming and impairments in ML-based optical networks.

Essential Reading

1 .

Rajiv Ramaswami, Kumar N. Sivarajan, Galen H. Sasaki, Optical Networks - A Practical Perspective, 3rd Ed., Morgan Kaufmann Elsevier, 2010

2 .

Andreas Muller, Introduction to Machine Learning with Python: A Guide for Data Scientists, Shroff/O’Reilly, 2016.

Supplementary Reading

1 .

Byrav Ramamurthy, Design of Optical WDM Networks - LAN, MAN and WAN Architectures, 1st Ed., Kluwer Academic Publishers, 2000.

2 .

Biswanath Mukherjee, Optical WDM Networks, Springer, 1st Ed., 2006.

Journal and Conferences

1 .