School of Electrical & Computer Engineering
Georgia Institute of Technology
E-mail: zhangw1@ece.gatech.edu
Welcome to my homepage!
I am currently working towards my Ph.D. degree under the supervision of Prof. Xiaoli Ma in Center for Signal and Image Processing (CSIP), School of Electical and Computer Engineering at Georgia Tech. My research focuses on statistical signal processing for wireless communications, telecommunications, and information theory. I have been working on both theoretical analysis by applying signal processing techniques such as lattice reduction algorithms onto wireless transceiver designs and fundamental limits, and practical implementation by designing VLSI architecture for communications algorithms. Based on my research record, I have received Outstanding Research Award from CSIP in Fall 2008.
EDUCATION
05/06
- present Ph.D., Electrical Engineering, Georgia Institute of Technology,
08/04
- 05/06
M.S., Electrical Engineering ,
09/00 - 07/04 B.S., Electronics & Information Engineering , Mixed Class, Zhejiang University, Hangzhou, China
COURSES
Signal Processing: Digital Signal Processing, Stochastic Signal & System Analysis, Detection & Estimation Theory, Advanced Digital Signal Processing, Adaptive Signal Processing
Communications: Wireless Communication Systems, Wireless Communications, Advanced Digital Communications, Telecommunication Networks, Coding Theory and Applications
Math: Advanced Topics in Coding Theory, Numerical Analysis II (for Linear Algebra), Introduction to Hilbert Space
Others: Microwave and RF Engineering, RF Circuit Design, Professional Communications
PUBLICATIONS
Book Chapter
W. Zhang and X. Ma, "Lattice reduction aided equalization for wireless applications," in V. K. Madisetti and D. Williams, editors, The Digital Signal Processing Handbook, CRC Press, Boca Raton, FL, 2009, under preparation.
Journal Papers
[1] G. Choi, W. Zhang, and X. Ma, "Designing diversity-enabled power profiles for wireless relay networks," IEEE Trans. Information Theory, submitted Feb. 2009.
[2] W. Zhang, X. Ma, and A. Swami, "Designing low-complexity detectors based on Seysen's algorithm," IEEE Trans. Wireless Communications, submitted Apr. 2008, revised Oct. 2008.
[3] W. Zhang and X. Ma, "Low-complexity iterative decoding with lattice-reduction-aided detectors," IEEE Trans. Communications, submitted Dec. 2007, revised Jan.2009.
[4] X. Ma, W. Zhang, and A. Swami, "Lattice-reduction aided equalization for OFDM systems," IEEE Trans. Wireless Communications, vol.8, no.2, Feb. 2009.
[5] W. Zhang, X. Ma, B. Gestner, and D. V. Anderson, " Designing low-complexity equalizers for wireless systems,'' IEEE Communications Magazine, vol. 47, no. 1, pp. 56-62, Jan. 2009.
[6] W. Zhang, F. Arnold, and X. Ma, "An analysis of Seysen's lattice reduction algorithm," Signal Processing, vol. 88, no. 10, pp. 2573-2577, Oct. 2008.
[7] X. Ma and W. Zhang, "Fundamental limits of linear equalizers: diversity, capacity and complexity," IEEE Trans. Information Theory, vol. 54, no. 8, pp. 3442-3456, Aug. 2008.
[8] X. Ma and W. Zhang, "Performance analysis for V-BLAST systems with lattice-reduction aided linear equalization," IEEE Trans. Communications, vol. 56, no.2, pp. 309-318, Feb. 2008.
Conference Papers
[1] X. Ma, G. Choi, W. Zhang, and Q. Zhao, "Network modulation (NeMo): an algebraic approach to enhancing network data persistence," submitted to ACM SIGCOMM, Jan. 2009.
[2] B. Gestner, W. Zhang, X. Ma, and D. V. Anderson, " VLSI implementation of an effective lattice reduction algorithm with fixed-point considerations,'' in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, Apr.19-24, 2009.
[3] W. Zhang and X. Ma, " A novel lattice reduction aided linear precoding scheme," in Proc. 43th Conference on Information Sciences and Systems (CISS), Johns Hopkins University, MD, Mar.18-20, 2009.
[4] G. Choi, W. Zhang, and X. Ma, "Diversity-enabled power profile design for relay networks," in Proc. Military Communications Conference (MILCOM), San Diego, CA, Nov.17-19, 2008.
[5] B. Gestner, W. Zhang, X. Ma, and D. V. Anderson, "VLSI implementation of a lattice reduction-aided low-complexity equalizer,'' in Proc. IEEE International Conference on Circuits & Systems for Communications (ICCSC), Shanghai, China, May 26-28, 2008.
[6] W. Zhang and X. Ma, "Quantifying diversity for wireless systems with finite-bit representation," in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar.30 - Apr.4, 2008.
[7] X. Ma and W. Zhang, "Orthogonality deficiency of random matrices," in Proc. LLL+25 Conference, Caen, France, Jun.30-July 1, 2007.
[8] W. Zhang, X. Ma, and A. Swami, "Designing soft detectors based on Seysen's algorithm," in Proc. Military Communications Conference (MILCOM), Orlando, FL, Oct.29-31, 2007.
[9] W. Zhang and X. Ma, "A suboptimal equalizer for MIMO systems to guarantee maximum diversity and near linear equalization complexity," in Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finland, Jun. 17-20, 2007.
[10] W. Zhang and X. Ma, "What determines the diversity order of linear equalizers?" in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, Apr. 15-20, 2007.
[11] W. Zhang and X. Ma, "Approaching optimal performance by lattice-reduction aided soft detectors," in Proc. 41th Conference on Information Sciences and Systems (CISS), Johns Hopkins University, MD, Mar. 14-16, 2007.
[12] W. Zhang, X. Ma, and A. Swami, "Maximum diversity of MIMO-OFDM schemes with linear equalizers," in Proc. 4th IEEE Workshop on Sensor Array and Multi-channel Processing (SAM), Boston, MA, July 2006.
[13] X. Ma, W. Zhang, and A. Swami, "Lattice-reduction aided linear equalizer design for linear complex-field coded OFDM systems," in Proc. Military Communications Conference (MILCOM), Atlantic city, NJ, Oct. 17-20, 2005.
[14] W. Zhang and X. Ma, "Performance analysis for V-BLAST systems with linear equalization," in Proc. 39th Conference on Information Sciences and Systems (CISS), Johns Hopkins University, MD, Mar. 15-18, 2005.