M.E.- ECE (Mobile Communication and Network Technology)


Mobile  has emerged as truly pervasive and affordable Information and Communication Technology (ICT) platform in the last decade. Mobile Communication and Network Technology post graduate program focuses on strong fundamentals and on developing hands-on skills pertaining to the latest and most popular platforms like Symbian, Android, Windows Mobile. Students will gain knowledge in wireless technologies, such as Bluetooth, Wi-Fi, GPRS, EDGE, 3G, LTE, 4G, 5G and new future innovations. Students will be trained not only to use existing mobile platforms but also to build advanced and robust platform. 

The students will learn the latest and popular subjects like Internet of Things, Advanced Computer Networks, RF and Antenna Designing, Embedded Technology, Wireless Sensor Networks, Advanced Digital Signal Processing etc.    

Advanced elective courses in other allied domains such as information security and biometrics also will be included to prepare students for some of the future areas in mobile computing like possible security attacks, high speed mobile network security and defence mechanism in the mobile domain.


Career Opportunities in MCNT

Students are competent enough to analyze, synthesize, design & propose new mobile Communication architecture which may have good social impact in form of products in recent communication era. Students are also skilled enough to develop their carrier in companies like Vodafone, ISRO, Jio Telecom, Ericsson, Nokia, Siemens, Cisco etc.

This AICTE approved Post Graduate ME course of two years duration has an intake of 30 students per year and the admissions are done through ACPC, Gujarat on the basis of PGSET/GATE and the score at BE.

 

Vision

  • To create a research environment for producing socially responsible and technically sound technocrats, innovators and entrepreneurs in the field of advanced wireless communication and networking.

Mission

  • To develop state-of-art research facilities with well-equipped academic infrastructure
  • To encourage faculty and students for research and consultancies
  • To establish strong linkages with research organization, Institute of national importance and Industries of wireless communication and networking.
  • To promote innovative practice in department to produce innovators and entrepreneurs
  • To leverage International linkage of University to establish strong international outreach.

Program Educational Objectives

  • Engage in the effective practice of communication and networking engineering to recognize and solve important tribulations in a diverse range of application areas.
  • Involve in research with proficiency in core areas of advanced communication and networking related engineering so as to comprehend engineering trade-offs, analysis, design and technical concepts to create novel solutions for the real life problems.
  • Occupy constructively in successful careers in industry, academia and attain positions of importance where they have an impact on their business, profession, and community service with ethics.
  • Competent enough in any challenging and dynamic environment communicate effectively in variety of professional context and incorporate government societal and industrial need.

 

The Mobile Communication and Network Technology department has good infrastructure and well-equipped laboratories with qualified support staff supervised by well qualified, experienced and committed faculty members who are seasoned researchers.

 

Wireless Sensor Networks (WSN) Laboratory:

The Wireless Sensor Networks (WSN) Lab hosts a state-of-the-art experimental academic and research facility for WSN. The test-bed facility is used for the prototyping and evaluation of developed protocol solutions and serves as a basis for the development of novel mobile context aware services and applications. The test-bed consists of wireless sensor and actuator nodes that can be organized in different network topologies and individually configured for various experiments and uses the backbone infrastructure of the Wireless Network Test-bed.

*L=lectures, T=tutorial, P=Practical, E=Theory External, M=Theory Internal, I=Practical Internal, V=Practical External, On Job Training(OJT) is equivalent to Practical
Subject CodeBranch codeEff_fromSubjectNameCategorySem /YearL.T.P.TotalEMIVTotal
3700001602018-19 English for Research Paper WritingAudit Course120005000050
3700005602018-19 Constitution of IndiaAudit Course120005000050
3710001602018-19 Research Methodology and IPRMLC11022002080100
3710508602018-19 Wireless and Mobile CommunicationCore II1302470302030150
3710509602018-19 Optical NetworksProgram Elective I1302470302030150
3710510602018-19 Statistical Information ProcessingProgram Elective I1302470302030150
3710513602018-19 Cognitive RadioProgram Elective II1302470302030150
3710514602018-19 RF and Microwave Circuit DesignProgram Elective II1302470302030150
3710515602018-19 DSP ArchitectureProgram Elective II1302470302030150
3712701602018-19 Advanced Communication NetworksCore I1302470302030150
3712707602018-19 Antennas and Radiating SystemsProgram Elective I1302470302030150
3700001602018-19 English for Research Paper WritingAudit Course220005000050
3700005602018-19 Constitution of IndiaAudit Course220005000050
3720001602018-19 Mini Project with SeminarCore20042001000100
3720506602018-19 Satellite CommunicationProgram Elective III2302470302030150
3720514602018-19 IOT and ApplicationsProgram Elective III2302470302030150
3720515602018-19 Software Defined NetworksProgram Elective III2302470302030150
3720517602018-19 Markov Chain and Queuing SystemProgram Elective IV2302470302030150
3720518602018-19 MIMO SystemProgram Elective IV2302470302030150
3720519602018-19 Embedded Wireless TechnologyProgram Elective IV2302470302030150
3722711602018-19 Wireless Sensor NetworksCore III2302470302030150
3722712602018-19 Advanced Digital Signal ProcessingCore IV2302470302030150
3730002602018-19 Internal Review 1Internal Review 130042001000100
3730003602018-19 Dissertation Phase IDissertation300168000100100
3730005602018-19 Business AnalyticsOpen Elective33003703000100
3730007602018-19 Operation ResearchOpen Elective33003703000100
3730505602018-19 High Performance NetworksProgram Elective V33003703000100
3730506602018-19 Pattern Recognition and Machine learningProgram Elective V33003703000100
3730507602018-19 Remote SensingProgram Elective V33003703000100
3740001602018-19 Internal Review - 2Dissertation40042001000100
3740002602018-19 Dissertation Phase IIDissertation4002814000100100

Mr. Amitkumar Makwana

Lab Assistant

Miss Komal Prajapati

Lab Assistant

Tokyo

Tokyo is the capital of Japan.

Close Bitnami banner