SPiN Lab

Welcome to the SPiN research group at the Dept. of Electrical Engineering, IIT Kanpur. Research at the SpiN Lab focuses on the applications of signal processing to networks, and includes the following exciting research areas:

Localization of wireless sensor networks, design of distributed algorithms.
Signal processing assisted network monitoring
Transceiver optimization, precoder design, beamforming, interference alignment.
Signal processing for smart grid communications, load scheduling, state estimation.
Stochastic resource allocation and its applications in wireless networks.
Spectrum sensing via sparsity and low rank
Network coding

Recent Activites

A. S. Bedi and K. Rajawat, "Asynchronous incremental stochastic dual descent algorithm for network resource allocation," IEEE Transactions on Signal Processing, 2018.
A. S. Bedi, P. Sarma, and K. Rajawat, "Tracking moving agents via inexact online gradient descent algorithm," IEEE Journal of Selected Topics in Signal Processing - Special issue on Machine Learning for Cognition in Radio Communications and Radar, Feb. 2018.
A. S. Bedi and K. Rajawat, "Network resource allocation via stochastic subgradient descent: convergence rate," IEEE Transactions on Communications, 2018.
A. S. Bedi, A. Koppel, and K. Rajawat, “Beyond consensus and synchrony in decentralized online optimization using saddle point method,” in Proc. Asilomar Conf. on Signals Systems Computers, (Accepted), 2017.
A. S. Bedi and K. Rajawat, "Wireless Network Optimization via Stochastic Sub-gradient Descent: Rate Analysis," in Proc. of the IEEE Wireless Communications and Networking Conf. (WCNC), Barcelona, Spain, Apr. 2018.
A. S. Bedi, K. Rajawat, and M. Coupechoux, "An Online Approach to D2D Trajectory Utility Maximization Problem," in Proc. of the IEEE Intl. Conf. on Computer Communications (INFOCOM), Honolulu, HI, USA, Apr. 2018.
J. Akhtar and K. Rajawat, "Distributed Sequential Estimation in Wireless Sensor Networks," IEEE Transactions on Wireless Communications, 2018 (to be published).
A. S. Bedi, P. Sarma, and K. Rajawat, "Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent," in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2018.
C. Kumar and K. Rajawat, "Dictionary learning-based fingerprinting for indoor localization," in Proc. of the National Conference on Communications (NCC), Hyderabad, India, Feb. 2018.

Following are the glimpse of the work carried out in our research group.