Faculty
Professor
Vijay Bhargava
Green communications, cognitive and cooperative wireless systems, MIMO-OFDM systems, cross-layer analysis.
Vijay K. Bhargava has been a Professor at UBC since 2003. He was a faculty member at the University of Victoria (1984-2003) and Concordia University (1976-1984). He is an Adjunct Professor at the Hong Kong University of Science and Technology and an Honorary Professor at the University of Electronic Science and Technology in China. He received his BSc, MSc and PhD from Queen's University in 1970, 1972 and 1974 respectively.
Research Areas
Research Groups
Courses
| EECE 359 |
Signals and Communications Continuous and discrete time signal analysis by Fourier methods; convolution and correlation; filtering, sampling, and multiplexing; amplitude, phase and pulse modulation. Credit will only be given for one of EECE 359 or EECE 369, although EECE 359 is not equivalent to EECE 369. |
| EECE 454 |
Digital Communications Formulation of the digital communication problem; definition of information, source and channel coding; digital modulation techniques, signal space, design of optimum digital receivers and performance calculations; trellis coded modulation; spread spectrum techniques; issues in wireless communication techniques and new standards. Prerequisites EECE 453 - Communication Systems |
| EECE 455 |
Error Control Coding for Communications and Computers Design techniques, including Hamming, BCH, Reed-Solomon, LDPC and convolutional codes, ARQ techniques, and LFSR implementation of encoding-decoding algorithms. This course is not eligible for Credit/D/Fail grading. |
| EECE 564 |
Detection and Estimation of Signals in Noise Formulation of the detection problem, optimum receiver principles, signal space, maximum likelihood decisions, error performance calculations. Estimation of signals in noise, linear and non-linear estimation, cost functions, recursive mean square estimation, Wiener and Kalman filters. Course Outline 1. Basic Elements of a Digital Communication System Transmitter Receiver Communication channels What problem do we try to solve? 2. The Probability and Stochastic Processes |
| EECE 566 |
Communication and Information Theory Coding for noisy channels, linear block codes, cyclic codes, convolutional codes, maximum likelihood decoding, trellis coded modulation, measure of information, source coding, channel capacity theorem. |
| EECE 571V |
Electrical Engineering Seminar and Special Problems - CP CEL WRLS NTWK |
Latest Publications
| 2010 |
A Model-Based Downlink Resource Allocation Framework for IEEE 802.16e Mobile WiMAX Systems Journal Article | Vehicular Technology, IEEE Transactions on |
| 2010 |
Iterative Soft Compensation for OFDM Systems with Clipping and Superposition Coded Modulation Journal Article | Communications, IEEE Transactions on |
| 2010 |
Two-User Opportunistic Scheduling Using Hierarchical Modulations in Wireless Networks with Heterogenous Average Link Gains Journal Article | IEEE Transactions on Communications |
| 2010 |
Subcarrier selection and power allocation for amplify-and-forward relaying over OFDDM links Journal Article | Wireless Communications, IEEE Transactions on |
| 2009 |
Opportunistic spectrum scheduling for multiuser cognitive radio: a queueing analysis Journal Article | Wireless Communications, IEEE Transactions on |
| Show more |
Contact
Office: KAIS 4012Electrical and Computer Engineering
The University of British Columbia
4012 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
The University of British Columbia
4012 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
vijayb [at] ece [dot] ubc [dot] ca
(604) 827-3959
(604) 822-5949
Website:
http://www.ece.ubc.ca/~vijayb
http://www.ece.ubc.ca/~vijayb
