Lecture 43: Capacity of MIMO Wireless Systems

Want to learn about PYTHON and 5G Technology? Check out our 5G Python Program below!
https://www.iitk.ac.in/mwn/python5G/
Welcome to the IIT Kanpur training programs on PYTHON for 5G Wireless Technology. This is a cutting edge training school that will feature intense PYTHON training modules and daily PYTHON projects on the latest Multi-user, Massive MIMO, mmWave MIMO, NOMA, Cooperative, Cognitive Radio technologies, which form the pillars of 5G. Participants will be able to gain in-depth knowledge of PYTHON programming and practical hands-on experience of working on state-of-the-art PYTHON-based 5G projects. The programs will be held on evenings and weekends for the convenience of students, faculty and working professionals. Python is an open-source, object-oriented and a highly efficient programming language for exceptionally fast and flexible implementation of 5G systems. This can greatly benefit participants of all backgrounds as described below.

How does this program benefit YOU?

UG/ PG students: Learn advanced scientific-programming in PYTHON and 5G technology for projects/ thesis and also conquer the job market!

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To learn more, visit the website below
https://www.iitk.ac.in/mwn/python5G/

Prof. Aditya K. Jagannatham (http://home.iitk.ac.in/~adityaj/) is a Professor in the Electrical Engineering department at IIT Kanpur, where he holds the Arun Kumar Chair Professorship, and is a well-known expert and trainer on 5G technologies. He received his Bachelor’s degree from the Indian Institute of Technology, Bombay and M.S. and Ph.D. degrees from the University of California, San Diego, U.S.A. From April '07 to May '09 he was employed as a senior wireless systems engineer at Qualcomm, San Diego, California, where he was a part of the Qualcomm CDMA technologies (QCT) division. His research interests are in the area of next generation wireless networks, with a special emphasis on various 5G technologies such as massive MIMO, mmWave MIMO, FBMC, NOMA, Full Duplex and others. His work has been published extensively in leading international IEEE journals and conferences, and has been recognized with several awards including the CAL(IT)2 fellowship at the University of California San Diego, Upendra Patel Achievement Award at Qualcomm, P.K. Kelkar Young Faculty Research Fellowship, Qualcomm Innovation Fellowship (QInF), Arun Kumar Chair and the IITK Excellence in Teaching Award.