CHANDRA R.MURTHY

Position: Professor
Categories: Professor

Research Areas : Signal Processing Theory and Applications, Wireless Communication Systems

Webpage : click here

Research

My research interests are broadly in the areas of digital signal processing, information theory, estimation theory, and their applications in the optimization of MIMO wireless communication systems. Some of the projects I have worked on in the past are:

  • Transmit optimization/precoding in MIMO systems
  • CSI feedback schemes in MISO/MIMO systems
  • MIMO (semi-blind) channel estimation techniques
  • Channel feedback for OFDM
  • Tracking time varying channels in feedback based systems
  • Effect of estimation errors, feedback delay and channel errors on communication systems
  • Robust channel estimation in time division duplex (TDD) systems

Currently, I am interested in problems in:

  • Source coding and joint source-channel coding
  • MIMO/OFDM channel estimation
  • Cognitive radio
  • Energy harvesting based communications
  • Scheduling and resource allocation
  • Compressive sensing and sparse Bayesian learning
  • Interference management

You can find more information at the lab web-site SPC Lab or on the publications page.

Publications

“© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

  1. R. Chopra and C. R. Murthy, Data Aided MSE-Optimal Time Varying Channel Tracking in Massive MIMO Systems, Accepted, IEEE Transactions on Signal Processing, Jun. 2021. pdf
  2. S. S. Thoota and C. R. Murthy, Variational Bayes’ Joint Channel Estimation and Soft Symbol Decoding for Uplink Massive MIMO Systems with Low Resolution ADCs, IEEE Transactions on Communications, vol. 69, no. 5, pp. 3467-3481, May 2021. pdf
  3. R. Chopra, C. R. Murthy, and A. Papazafeiropoulos, Uplink Performance Analysis of Cell-Free mMIMO Systems under Channel Aging, IEEE Communications Letters, vol. 25, no. 7, pp. 2206-2210, Jul. 2021. pdf
  4. D. Prasanna and C. R. Murthy, mmWave Channel Estimation via Compressive Covariance Estimation: Role of Sparsity and Intra-vector Correlation, IEEE Transactions on Signal Processing, vol. 69, pp. 2356-2370, Mar. 2021. pdf
  5. P. Sasmal and C. R. Murthy, Incoherence is Sufficient for Statistical RIP of Unit Norm Tight Frames: Constructions and Properties, IEEE Transactions on Signal Processing, vol. 69, pp. 2343-2355, Mar. 2021. pdf
  6. S. Saha, V. B. Sukumaran and C. R. Murthy, On the Minimum Average Age of Information in IRSA for Grant-free mMTC, IEEE Journal on Selected Areas in Communications, Special Issue on Age of Information in Real-time Systems and Networks, vol. 39, no. 5, pp. 1441-1455, May 2021. pdf
  7. G. Joseph and C. R. Murthy, Controllability of Linear Dynamical Systems Under Input Sparsity Constraints, IEEE Transactions on Automatic Control, vol. 66, no. 2, pp. 924-931, Feb. 2021. pdf