Publications

Journal Publications

Note: An asterisk above multiple authors’ names represents equal contribution by the said authors

2023

  1. N. Kolla, K. Appaiah and R. Chopra, “Efficient Parameterized Precoder Tracking in Slowly Time-Varying MIMO Channels,” in IEEE Communications Letters, vol. 27, no. 1, pp. 298-302, Jan. 2023.

2022

  1. A. Chowdhury, R. Chopra, and C. R. Murthy, “Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?“, IEEE Transactions on Communications, Accepted, May 2022.
  2. S. Mukherjee, and R. Chopra, “Performance Analysis of Cell-free massive MIMO Systems in LoS/ NLoS Channels”,  IEEE Transactions on Vehicular Technology, accepted March 2022.
  3. A. Chowdhury, P. Sasmal, C. R. Murthy, and R. Chopra, “On the Performance of Distributed Antenna Array Systems with Quasi-Orthogonal Pilots”, Accepted, IEEE Transactions on Vehicular Technology, Jan. 2022.
  4. I. Merin. Baby, K. Appaiah, R. Chopra, “Optimal Channel Tracking and Power Allocation for Time Varying FDD Massive MIMO Systems,” IEEE Transactions on Communications, Feb 2022. 

2021 

 

  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 

  2. T. V. Chien, A. K. Papazafeiropoulos, Lam-Thanh Tu, R. Chopra, S. Chatzinotas, B. E. Ottersten, “Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels”, IEEE Wireless Communications Letters, Accepted May. 2021. 

  3. R. Chopra, C. R. Murthy, and A. Papazafeiropoulos, “Uplink Performance Analysis of Cell-Free mMIMO Systems under Channel Aging”,  IEEE Communications Letters, Accepted Apr. 2021.

  4. A. Dave*, S. Kuhar*, R. Chopra, “Deep Learning based Semi-blind Tracking for Aging Wireless Communication Channels”, Wireless Personal Communications, Accepted Feb. 2021. PDF

  5. Vishwamittar, P. Batra, and R. Chopra, “Stochastic resonance in two coupled fractional oscillators with potential and coupling parameters subjected to quadratic asymmetric dichotomous noise”, in Physica A: Statistical Mechanics and its Applications, Volume 561, 2021. PDF

2020

  1. S. Ghosh and R. Chopra, “Downlink Pilots for Hybrid Massive MIMO Under Reciprocity Imperfections,” in IEEE Communications Letters, vol. 24, no. 10, pp. 2334-2338, Oct. 2020. PDF
  2. R. Chopra, C. R. Murthy, H. A. Suraweera, and E. G. Larsson, “Blind Channel Estimation for Downlink Massive MIMO Systems with Imperfect Channel Reciprocity”, IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 3132-3145, 2020. (accepted Apr. 2020) PDF
  3. A. Chowdhury,  R. Chopra, “Frame Structures for Massive MIMO Communications Under Channel Aging”, Wireless Personal Communications, 111, 2659–2669 (2020). PDF

2019

  1. R. Chopra, C. R. Murthy and R. Annavajjala, “Physical Layer Security in Wireless Sensor Networks Using Distributed Co-Phasing,” in IEEE Transactions on Information Forensics and Security, vol. 14, no. 10, pp. 2662-2675, Oct. 2019. PDF
  2. S. Ghosh and R. Chopra, “Training for Massive MIMO Systems with Non-Identically Aging User Channels”, in Physical Communication (Elsevier), vol 35, August 2019. PDF
  3. R. Chopra, C. R. Murthy, H. A. Suraweera, E. G. Larsson, “Analysis of Nonorthogonal Training in Massive MIMO Under Channel Aging With SIC Receivers,” in IEEE Signal Processing Letters, vol. 26, no. 2, pp. 282-286, Feb. 2019.. PDF

2018

  1. R. Chopra, C. R. Murthy and G. Rangarajan, “Statistical Tests for Detecting Granger Causality,” in IEEE Transactions on Signal Processing, vol. 66, no. 22, pp. 5803-5816, 15 Nov.15, 2018. PDF
  2. R. Chopra, C. R. Murthy, H. A. Suraweera and E. G. Larsson, “Performance Analysis of FDD Massive MIMO Systems Under Channel Aging,” in IEEE Transactions on Wireless Communications, vol. 17, no. 2, pp. 1094-1108, Feb. 2018. PDF

2017

  1. R. Chopra, R. Annavajjala and C. R. Murthy, “Distributed Cophasing With Autonomous Constellation Selection,” in IEEE Transactions on Signal Processing, vol. 65, no. 21, pp. 5798-5811, Nov., 2017. PDF
  2. Ribhu Chopra, Debashis Ghosh, D.K. Mehra, “Spectrum sensing for OFDM signals using pilot induced cyclostationarity in the presence of cyclic frequency offset”,Physical Communication, Volume 24, September 2017. PDF
  3. Ribhu Chopra, Chandra R. Murthy, and Ramesh Annavajjala, “Multi-Stream distributed Co-Phasing” in IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 1042-1057, Feb.15, 2017. PDF

2016

  1. Ribhu Chopra, Chandra R.Murthy, and Himal A. Suraweera, “On the Throughput of LargeMIMO Beamforming Systems with Channel Aging”, in IEEE Signal Processing Letters, vol. 23, no. 11, pp. 1523-1527, Nov. 2016. PDF
  2. Ribhu Chopra, Debashis Ghosh, and D.K. Mehra, “Performance evaluation of FRESH filter based spectrum sensing for cyclostationary signals”, Physical Communication(Elsevier), Volume 20, September 2016, Pages 17-32, ISSN 1874-4907. PDF 
  3. Ribhu Chopra, Debashis Ghosh and D. K.Mehra, “FRESH Filter-Based Spectrum Sensing in the Presence of Cyclic Frequency Offset” in IEEE Wireless Communications Letters, vol. 5, no. 2, pp. 124-127, April 2016. PDF

2014

  1. Ribhu Chopra, Debashis Ghosh, and D. K. Mehra, “Spectrum Sensing for Cognitive Radios Based on Space-Time FRESH Filtering” IEEE Transactions on Wireless Communications, vol.13, no.7, pp.3903-3913, July 2014. PDF
  2. Khunteta, A., Ghosh D and Ribhu, “A Fuzzy Approach to Image Exposure Level Estimation and Contrast Enhancement in Dark Images via Exposure Level Optimization” International Journal of Latest Trends in Engineering, Science and Technology, Volume 1, Issue 5, April 2014.PDF

Conference Publications

  1. Anubhab Chowdhury, Ribhu Chopra, Chandra R Murthy, and Himal A Suraweera in “On the Achievable Rates of Full-Duplex Massive MIMO Systems Under Channel Aging”, in 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (IEEE SPAWC 2019).
  2. R. Chopra, “Uplink training for massive MIMO systems under channel aging,” in 2018 International Conference on Signal Processing and Communications (SPCOM) (SPCOM 2018), (Indian Institute of Science, Bangalore, India), July 2018. PDF
  3. Ribhu Chopra, C. R. Murthy, and R. Annavajjala, “Multi-Stream distributed Co-Phasing: design and analysis,” 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC 2016), Edinburgh, United Kingdom, July 2016. PDF
  4. Ribhu; D. Ghosh ; D. K. Mehra, “Cooperative Spectrum Sensing for Cognitive Radios Using Jointly Adaptive FRESH Filters,” National Conference on Communications 2015 (NCC-2015) , pp.1,6, Mumbai, India, Feb 2015 PDF
  5. Ribhu; D. Ghosh ; D. K. Mehra, “Cyclostationary spectrum sensing for OFDM signals in the presence of cyclic frequency offset,” 2014 International Conference on Signal Processing and Communications (SPCOM) , vol., no., pp.1,6, 22-25, Banglore, India, July 2014. PDF
  6. Ghosh, D.; Ribhu; Shivaprasad, A.P., “Parameter tuning for multi-prototype possibilistic classifier with reject options,” 2013 IEEE International Conference on Fuzzy Systems (FUZZ) , vol., no., pp.1,6, 7-10 July 2013. PDF
  7. Ribhu, R.; Ghosh, D., “Dictionary design for sparse signal representations using K-SVD with sparse Bayesian learning, 2012 IEEE 11th International Conference on Signal Processing (ICSP) , vol.1, no., pp.21,25, 21-25 Oct. 2012. PDF
  8. Ribhu, R.; Ghosh, D., “A sparse representation based approach for steganography,” 2012 IEEE 11th International Conference on Signal Processing (ICSP) , vol.3, no., pp.1678,1681, 21-25 Oct. 2012. PDF
  9. Khunteta, A.; Ghosh, D.; Ribhu, “Fuzzy rule-based image exposure level estimation and adaptive gamma correction for contrast enhancement in dark images,” 2012 IEEE 11th International Conference on Signal Processing (ICSP) , vol.1, no., pp.667,672, 21-25 Oct. 2012. PDF

Theses

  1. Ribhu,” Adaptive Techniques for Cyclostationary Spectrum Sensing in Cognitive Radios”, Indian Institute of Technology Roorkee, 2015. PDF