M.Tech in Advanced Wireless Communication

Overview

Mahindra University offers an M.Tech. degree program in Advanced Wireless Communication. This will be a two-year program where the students will be involved in the latest and the most advanced wireless communication technologies of 4G (Long Term Evolution (LTE and LTE-Advanced)), 5G New Radio (5G NR) and the 6G. The students will get an opportunity to delve into the advanced Physical (PHY) and Medium Access Control (MAC) layer technology drivers/enablers of 4G, 5G and 6G such as new waveforms (modulation techniques), Radio Resource Management (RRM), Link Adaptation, Software Defined Network (SDN), green communication, ultra-dense networks (UDN), Multiuser Multiple Input Multiple Output (MU-MIMO), scalable Orthogonal Frequency Division Multiplexing (OFDM) technology, low latency slot structure design, cognitive radio, advanced LDPC channel coding, adaptive beam forming Non-orthogonal Multiple Access (NoMA), D2D, small cells, heterogenous networks, AI enabled wireless communication, IoT communication, Security for 5G RF communication, advanced algorithms of PHY and MAC, cloud computing, vehicular communication, and the wireless system design aspects of 4G, 5G and 6G among others.

The students get the opportunity to use the latest Universal Software Radio Peripherals (USRPs) from NI and MATLAB simulator software for 4G, 5G and beyond. The labs will be made available to M.Tech. students to learn using the entire suite of MATLAB tools and deep learning based wireless communication kits/set ups. Most importantly, the students will also have an opportunity to learn how to develop the link and system level simulators of 4G, 5G and beyond systems as per the requirements of International Mobile Telecommunications-Advanced (IMT-A) and ITU-R requirements.

Further, students will also learn the 4G LTE and 5G NR communication system design using deep radio set up, inclusive vehicular communication set ups are also available to learn the real time vehicular communication system development and verification.

The Dissertation (project work) in the final semester enables students to apply concepts and techniques learnt during the program. It is a research-driven program with close links to the industry.

Students of the M.Tech. program can expect to work with prospective employers such as Intel, Qualcomm, Broadcom, Samsung R &D, Ericsson, NVidia, Vodafone, Reliance communication, and many other companies that are in the 5G communication system design or manufacturing and are having difficulty in finding talent to meet their needs.

The outcome from this program is to improve the world through transformative education and impactful research by producing outstanding graduates who are knowledgeable, creative, and passionate for furthering research in area of wireless communication through innovative and collaborative work.

Apply Now
Evolution-of-Wireless-Communication-Technologies

Figure 1. Evolution of Wireless Communication Technologies

Research aspects that bring

Figure 2. Research aspects that bring AI technologies into beyond 5G wireless networks

Eligibility

  • B.E./B.Tech. in Electrical Engineering or Electrical and Electronics Engineering or Electronics and Communication Engineering/ Telecommunication Engineering/Communication and Information System or Computer Science and Engineering or Instrumentation Engineering or Electronics and Biomedical Engineering or Electronics and Computer Engineering.
  • Valid GATE Score in Electrical Engineering or Electronics and Communication Engineering or Instrumentation Engineering is Mandatory.
  • Candidates appearing for their final semester exam in the current year are also eligible to apply, however the valid GATE score is mandatory

Admission Process

  • Admission for GATE qualified students: Applicants with a valid GATE score & Percentile score 70 & above will undergo an interview for admission.
  • Admission for non-GATE qualified students: Candidates not having valid GATE score or have Percentile score less than 70 will have to appear in the written Test to be conducted by École Centrale School of Engineering-MU, followed by an interview for the shortlisted candidates.

Expected Program Outcomes

Students graduating from this program are expected:

  • to be able to comprehend and understand the various concepts of future next generation telecommunication
  • to develop and design a tractable mathematical model for different deployment conditions.
  • to be able to conceptualize, design and implement next generation wireless communication systems with real world priors and flexible models
  • to be able to comprehend and understand the nature of artificial intelligence in future wireless communication engineering
  • to be able to synthesize intelligent mechanisms for energy efficient wireless radio communication
  • to be able to design and implement telecommunication standards for infrastructure-based communication
  • to develop high performance and flexible networking mechanisms, techniques, and protocols
  • to understand AI based driven networks and service management, network support for multimedia applications with quality of experience assurance.
  • to be able to closely relate future business models and technologies associated with diverse supply chains as well as network integration across heterogeneous infrastructure and capabilities

CURRICULUM

 1st Semester

S. No Code Course L T P Credits
1 EC 5151  Modern Digital Communication Techniques 3 0 0 3
2 EC 5152 5G Wireless Communication Networks and Design 3 0 0 3
3 EC 5153 Communication Channel Models 3 0 0 3
4 EC 5154 Optimization Techniques for Communications 3 0 0 3
5 EC 5155 Machine Learning 2 0 2 3
6 EC 5156 5G Wireless Communication lab 0 0      2         1
Total Credits        16

2nd Semester

S. No Code Course L T P Credits
1 EC 5251  Optical Wireless Communication 3 0 0 3
2 EC 5252 Deep Learning for Communications 3 0 0 3
3 EC 5253 Security for Wireless Communication Systems 3 0 0 3
4 EC 5254 6G Wireless Communication Evolution 3 0 0 3
5 EC5255 RF Front-end Systems 3 0 0 3
6 EC52XX Elective I 3 0 0 3
7 EC 5256 AI/ML for Communication Lab 0 0 2 1
8 EC5257 IoT Communication Lab 0 0 2 1
Total Credits 20

3rd Semester

S. No Code Course L T P Credits
1 EC 5351 MIMO Wireless Communication 3 0 0 3
2 EC 53XX Elective II 3 0 0 3
3 EC53XX Elective III 3 0 0 3
4 EC 53XX                               Thesis Phase I 0 0 10 5
5 EC53XX Special Topics in Communication 1 0 0 1
Total Credits 15

4th Semester

S. No  Code  Course  L  T  P  Credits 
1    EC 5401 Masters’ Thesis 0 0 24       12
  Total Credits       12

Potential Electives

 

Course Code  Course  L  T  P  C 
EC 53XX  Vehicular Communication Networks 3 0 0 3
EC 53XX Cellular Broadband IoT 3 0 0 3
EC 52XX  Error Correction Codes  3 0 0 3
EC 53XX Cognitive Radio  3 0 0 3
EC 53XX  Tele-traffic Engineering 3 0 0 3
EC 53XX Antennas for Wireless Communication 3 0 0 3
EC 53XX  Broadband Access Networks 3 0 0 3
EC 53XX Wireless Networks Design and Testing 3 0 0 3
EC 53XX  RF and Microwave Engineering 3 0 0 3