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Table of Contents

Publications

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Journal

2024

  1. L. Yashvanth and C. R. Murthy, Distributed IRSs Always Benefit Every Mobile Operator, Accepted, IEEE Wireless Communications Letters, July 2024. pdf
  2. L. Yashvanth and C. R. Murthy, On the Impact of an IRS on the Out-of-Band Performance in Sub-6 GHz & mmWave Frequencies, Accepted, IEEE Transactions on Communications, May 2024. pdf
  3. R. Chopra, C. R. Murthy, and K. Appaiah, Adaptive Data-Aided Time-Varying Channel Tracking for Massive MIMO Systems, Accepted, IEEE Transactions on Communications, Apr. 2024. pdf
  4. A. Chowdhury and C. R. Murthy, Half-Duplex APs with Dynamic TDD vs. Full-Duplex APs in Cell-Free Systems, IEEE Transactions on Communications, vol. 72, no. 7, pp. 3856-3872, Jul. 2024. pdf

2023

  1. A. Anand, C. R. Murthy, and R. Chopra, Impact of Mobility on the Downlink Performance of Cell-Free Massive MIMO Systems, Accepted, Physical Communication, Sep. 2023. pdf
  2. L. Yashvanth and C. R. Murthy, Performance Analysis of Intelligent Reflecting Surface Assisted Opportunistic Communications, IEEE Transactions on Signal Processing, vol. 72, pp. 2056-2070, Accepted Mar. 2023. pdf
  3. A. Chowdhury and C. R. Murthy, On the Sum Spectral Efficiency of Dynamic TDD Enabled Cell-Free Massive MIMO Systems, IEEE Wireless Communications Letters, vol. 12, no. 3, pp. 481-485, Mar. 2023. pdf.
  4. C. Sriram, G. Joseph, and C. R. Murthy, Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs, IEEE Transactions on Automatic Control, vol. 68, no. 8, pp. 5014-5021, Aug. 2023. pdf.

2022

  1. S. Shiv, S. Bhashyam, C. R. Srivatsa, and C. R. Murthy, Learning-based Sparse Recovery for Joint Activity Detection and Channel Estimation in Massive Random Access Systems, IEEE Wireless Communications Letters, vol. 11, no. 11, pp. 2295-2299, Nov. 2022. pdf.
  2. S. Saha, H. S. Makkar, Vineeth B. S. and C. R. Murthy, On the Relationship Between Mean Absolute Error and Age of Incorrect Information in the Estimation of a Piecewise Linear Signal over Noisy Channels, IEEE Communications Letters, vol. 26, no. 11, pp. 2576-2580, Nov. 2022. pdf.
  3. Sameera Bharadwaja H. and C. R. Murthy, Recovery Algorithms for Pooled RT-qPCR based Covid-19 Screening, IEEE Transactions on Signal Processing, vol. 70, pp. 4353-4368, (Accepted Jul.) 2022. pdf.
  4. C. R. Srivatsa and C. R. Murthy, On the Impact of Channel Estimation on the Design and Analysis of IRSA based Systems, IEEE Transactions on Signal Processing, vol. 70, pp. 4186-4200, 2022. pdf. supplementary material.
  5. C. R. Srivatsa and C. R. Murthy, User Activity Detection for Irregular Repetition Slotted Aloha based MMTC, IEEE Transactions on Signal Processing, vol. 70, pp. 3616-3631, 2022. pdf.
  6. A. Anand and C. R. Murthy, Impact of Subcarrier Allocation and User Mobility on the Uplink Performance of Multi-User Massive MIMO-OFDM Systems, IEEE Transactions on Communications, vol. 70, no. 8, pp. 5285-5299, Aug. 2022. pdf.
  7. S. Khanna and C. R. Murthy, On the Support Recovery of Jointly Sparse Gaussian Sources Via Sparse Bayesian Learning, IEEE Transactions on Information Theory, vol. 68, no. 11, pp. 7361-7378, Nov. 2022. pdf. supplementary material.
  8. Arunkumar K. P. and C. R. Murthy, Orthogonal Delay Scale Space Modulation: A New Technique for Wideband Time-Varying Channels, IEEE Transactions on Signal Processing, vol. 70, pp. 2625-2638, Jun. 2022. pdf. Matlab code.
  9. 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, vol. 70, no. 7, pp. 4867-4883, Jul. 2022. pdf
  10. L. Ramesh, C. R. Murthy, and H. Tyagi, Multiple Support Recovery Using Very Few Measurements Per Sample, IEEE Transactions on Signal Processing, vol. 70, pp. 2193-2206, May 2022. pdf. The full version including the supplementary material can be found here.
  11. S. S. Thoota and C. R. Murthy, Massive MIMO-OFDM Systems with Low Resolution ADCs: Cramér-Rao Bound, Sparse Channel Estimation, and Soft Symbol Decoding, IEEE Transactions on Signal Processing, vol. 70, pp. 4835-4850, accepted Mar. 2022. pdf. Supplementary material for this paper can be found here. An unpublished extension to piecewise sparse signal recovery from quantized compressed sensing measurements can be found here.
  12. A. Chowdhury, P. Sasmal, C. R. Murthy, and R. Chopra, On the Performance of Distributed Antenna Array Systems with Quasi-Orthogonal Pilots, IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 3326-3331, Mar. 2022. pdf. Supplementary material for this paper can be found here.

2021

  1. L. Ramesh, C. R. Murthy, and H. Tyagi, Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior, IEEE Transactions on Information Theory, Vol. 67, No. 12, pp. 8140-8153, Dec. 2021. pdf
  2. S. S. Thoota, D. G. Marti, O. T. Demir, R. Mundlamuri, J. Palacios, C. M. Yetis, C. K. Thomas, S. H. Bharadwaja, E. Björnson, P. Giselsson, M. Kountouris, C. R. Murthy, N. González‐Prelcic, J. Widmer, Site-specific millimeter-wave compressive channel estimation algorithms with hybrid MIMO architectures, ITU Journal on Future and Evolving Technologies (ITU J-FET) special issue on AI and machine learning solutions in 5G and future networks, Volume 2 (2021), Issue 4, Jul. 2021. here.
  3. R. Chopra and C. R. Murthy, Data Aided MSE-Optimal Time Varying Channel Tracking in Massive MIMO Systems, IEEE Transactions on Signal Processing, vol. 69, pp. 4219-4233, Accepted Jun. 2021. pdf
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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

2020

  1. D. Prasanna, C. Sriram and C. R. Murthy, On the Identifiability of Sparse Vectors from Modulo Compressed Sensing Measurements, IEEE Signal Processing Letters, vol. 28, pp. 131-134, Dec. 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. Arunkumar K. P. and C. R. Murthy, Soft Symbol Decoding in Sweep-Spread-Carrier Underwater Acoustic Communications: A Novel Variational Bayesian Algorithm and its Analysis, IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 2435-2448, 2020. pdf code
  4. R. V. Bhat, M. Motani, C. R. Murthy, and R. Vaze, Energy Harvesting Communications with Batteries having Cycle Constraints, IEEE Transactions on Green Communications and Networking, vol. 4, no. 1, pp. 263-276, Mar. 2020. pdf
  5. R. Ramu Naidu and C. R. Murthy, Construction of Unimodular Tight Frames Using Majorization-Minimization for Compressed Sensing, Elsevier Signal Processing, vol. 172, Jul. 2020. pdf
  6. G. Joseph and C. R. Murthy, On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery, IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 343-358, 2020. pdf. See here for some additional supplemental material, and here for the code. Also see Wenwu Wang's website for SimCo code.

2019 and Earlier

Conference

2024

  1. Sahil Katyal, Sameera Bharadwaja, and Chandra R. Murthy, Deep Unfolding-Based Channel Estimation and Soft Symbol Decoding with Low-Resolution ADCs, 32nd European Signal Processing Conference (EUSIPCO), Lyon, France, Aug. 2024.
  2. Rupam Kalyan Chakraborty, Geethu Joseph, and Chandra R. Murthy, Bayesian Learning-Based Kalman Smoothing for Linear Dynamical Systems with Unknown Sparse Inputs, IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Korea, Apr. 2024.
  3. Anubhab Chowdhury and Chandra R. Murthy, Pilot Length Minimization via AP-UE Clustering in Cell-Free Systems, IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Korea, Apr. 2024.

2023

  1. L. Yashvanth and Chandra R. Murthy, Does an IRS Degrade Out-of-band Performance?, IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sep. 2023.
  2. Anubhab Chowdhury and Chandra R. Murthy, How Resilient are Cell-Free Massive MIMO OFDM Systems to Propagation Delays?, IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sep. 2023.
  3. Niladri Halder, Arunkumar K. P., and Chandra R. Murthy, Iterative Delay-Scale Spread Channel Estimation and Soft Symbol Decoding, IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sep. 2023.
  4. Niladri Halder, Arunkumar K.P., and Chandra R. Murthy, Variational Bayesian Channel Estimation in Wideband Multi-Scale Multi-Lag Channels, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, Jun. 2023.
  5. L. Yashvanth and Chandra R. Murthy, Comparative Study of IRS Assisted Opportunistic Communications over I.I.D. and LoS Channels, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, Jun. 2023. video
  6. Sangeeta Bhattacharjee, Kumar Vijay Mishra, Ramesh Annavajjala and Chandra R. Murthy, Multi-carrier Wideband OCDM-based THz Automotive Radar, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, Jun. 2023.
  7. Chirag Ramesh Srivatsa and Chandra R. Murthy, Channel State Information Based User Censoring in Irregular Repetition Slotted Aloha, IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.
  8. Anubhab Chowdhury and Chandra R. Murthy, Comparative Study of Dynamic TDD with Full-Duplex in Cell-Free Massive MIMO Systems, National Conference on Communications, Guwahati, India, Feb. 2023.
  9. Kanchan Verma and Chandra R. Murthy, Opportunistic Beamforming Based Hybrid Analog-Digital Multi-User mmWave Communications: Design and Analysis, National Conference on Communications, Guwahati, India, Feb. 2023.
  10. Sudarsanan Krishnan, Vineeth Bala Sukumaran, and Chandra R. Murthy, On the Optimal Tradeoff of Age of Information and Transmission Power for Point-To-Point Links, National Conference on Communications, Guwahati, India, Feb. 2023. NCC 2023 best paper award in the networking track! Certificate, pdf

2022

  1. L. Yashvanth and Chandra R. Murthy, Cascaded Channel Estimation for Distributed IRS Aided mmWave Massive MIMO Systems, IEEE Global Communications Conference, Rio De Janeiro, Brazil, Dec. 2022.
  2. L. Yashvanth, Chandra R. Murthy, and Deepak Battu, Binary Intelligent Reflecting Surfaces Assisted OFDM Systems, IEEE International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, July 2022.
  3. A. Chowdhury, Chandra R. Murthy, and Ribhu Chopra, Dynamic TDD Enabled Distributed Antenna Array Massive MIMO System, IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM), Trondheim, Norway, June 2022. video.
  4. Chirag Ramesh Srivatsa and Chandra R. Murthy, Performance Analysis of Irregular Repetition Slotted Aloha with Multi-Cell Interference, 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Oulu, Finland, July 2022.
  5. Arunkumar K. P., Chandra R. Murthy, and P. Muralikrishna, Variable Bandwidth Multicarrier Communications: A New Waveform for the Delay-Scale Channel, 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Oulu, Finland, July 2022. video. Best student paper award!
  6. Sameera Bharadwaja H., Monika Bansal, and Chandra R. Murthy, Approximate Set Identification: PAC Analysis for Group Testing, IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, June 2022. video.
  7. Sangeeta Bhattacharjee, Kumar Vijay Mishra, Ramesh Annavajjala, and Chandra R. Murthy, Evaluation of orthogonal chirp division multiplexing for automotive integrated sensing and communications, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

2021

  1. Himani Kamboj, Bhawesh Anand, Sanjhi Gupta, Ashish Meshram, Sudhakar Balijepalli, and Chandra R. Murthy, Hardware Implementation of Cell-Free MIMO and Dynamic TDD using the OAI 5G NR Codebase, 25th International ITG Workshop on Smart Antennas, Eurecom, French Riviera, France, Nov. 2021.
  2. Sai Shruthi Nakkina, Sudhakar Balijepalli, and Chandra R. Murthy, Performance Benchmarking of the 5G NR PHY on the OAI Codebase and USRP Hardware, 25th International ITG Workshop on Smart Antennas, Eurecom, French Riviera, France, Nov. 2021.
  3. Dheeraj Prasanna, Chandrasekhar Sriram, and Chandra R. Murthy, On the application of modulo-ADCs for compressed sensing, 55th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, USA, Nov. 2021.
  4. Sai Subramanyam Thoota and Chandra R. Murthy, Cramér-Rao Lower Bound for Bayesian Estimation of Quantized MMV Sparse Signals, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2021), Lucca, Italy, September 27-30, 2021.
  5. Christo K. Thomas, Rakesh Mundlamuri, Chandra R. Murthy, and Marios Kountouris, Energy Efficient Sparse Bayesian Learning using Learned Approximate Message Passing, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2021), Lucca, Italy, September 27-30, 2021.
  6. Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi, Multiple Support Recovery Using Very Few Measurements Per Sample, IEEE International Symposium on Information Theory, Melbourne, Australia, July 2021. Winner of the IEEE Jack Keil Wolf ISIT Student Paper Award.
  7. Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi, Phase Transition for Support Recovery from Gaussian Linear Measurements, IEEE International Symposium on Information Theory, Melbourne, Australia, July 2021.

2020

  1. Geethu Joseph, Chandra R. Murthy, and V. John Mathews, Sensor Placement for A Pairwise Sensing Model: Framework and Algorithms, Int. Conf. on Signal Processing and Communications (SPCOM), Bangalore India, July 2020.Video presentation here.
  2. Dheeraj Prasanna and Chandra R. Murthy, On the Role of Sparsity and Intra-vector Correlation in mmWave Channel Estimation, IEEE SPAWC, Atlanta, Georgia, USA, May 2020. Video presentation here.
  3. Anubhab Chowdhury, Pradip Sasmal, and Chandra R. Murthy, Comparison of Orthogonal vs. Union of Subspace Based Pilots for Multi-Cell Massive MIMO Systems, IEEE SPAWC, Atlanta, Georgia, USA, May 2020. Video presentation here.
  4. Chandrasekhar Sriram, Geethu Joseph, and Chandra R. Murthy, Control of linear dynamical systems using sparse inputs, Proc. ICASSP, Barcelona, Spain, May 2020. Video presentation here.

2019

  1. Sai Subramanyam Thoota, Chandra R. Murthy, Variational Bayesian Inference based Soft-Symbol Decoding for Uplink Massive MIMO Systems with Low Resolution ADCs, Proc. Asilomar Conference on Signals, Systems and Computers, Nov. 2019.
  2. Sai Subramanyam Thoota, Chandra R. Murthy, and Ramesh Annavajjala, Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs, Proc. IEEE International Workshop on Machine Learning for Signal Processing, Pittsburg, PA, USA, Oct. 2019.
  3. Arunkumar K. P. and Chandra R. Murthy, Variational Soft Symbol Decoding for Sweep Spread Carrier Based Underwater Acoustic Communications, Proc. SPAWC, Cannes, France, July 2019.
  4. Anubhab Chowdhury, Ribhu Chopra, Chandra R. Murthy, and Himal A. Suraweera, On the Achievable Rates of Full-Duplex Massive MIMO Systems Under Channel Aging, Proc. SPAWC, Cannes, France, July 2019.
  5. Chirag Srivatsa and Chandra R. Murthy, Throughput Analysis of PDMA/IRSA under Practical Channel Estimation, Proc. SPAWC, Cannes, France, July 2019.
  6. Lekshmi Ramesh, Chandra R. Murthy, and Himanshu Tyagi, Sample-Measurement Tradeoff in Support Recovery Under a Subgaussian Prior, Proc. ISIT, Paris, France, July 2019.
  7. Nandan Sriranga, Chandra R. Murthy, and Vaneet Aggarwal, A Method to Improve Consensus Averaging using Quantized ADMM, Proc. ISIT, Paris, France, July 2019.
  8. Pradip Sasmal, Sai Subramanyam Thoota, and Chandra R. Murthy, Disjunct matrices for compressed sensing, Proc. ICASSP, Brighton, UK, May 2019.
  9. Geethu Joseph, Ahmad Zoubi, Chandra R. Murthy, and V. John Mathews, Anomaly imaging for structural health monitoring exploiting clustered sparsity, Proc. ICASSP, Brighton, UK, May 2019.
  10. Rajshekhar Bhat, Mehul Motani, Chandra R. Murthy, and Rahul Vaze, Energy Harvesting Communications with Batteries having Full-Cycle Constraints, Proc. ICC, Shanghai, China, May 2019.
  11. Sai Subramanyam Thoota, Prabhu Babu, and Chandra R. Murthy, Codebook Based Precoding for Multiuser MIMO Broadcast Systems: An MM Approach, Proc. NCC, Bangalore, India, Feb. 2019.

2018

  1. M. K. Sharma, C. R. Murthy, and R. Vaze, On optimal scheduling and power control for uncoordinated multiple access by energy harvesting nodes, Proc. Globecom, Abu Dhabi, UAE, Dec. 2018.
  2. Lekshmi Ramesh and Chandra R. Murthy, Sparse support recovery via covariance estimation, Proc. ICASSP, Apr. 2018. [ICASSP 2018 student best paper award!] pdf

2017 and Earlier

Theses

  1. Chirag Ramesh Srivatsa, Design and Analysis of Random Access Protocols for Massive Machine-Type Communications , PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, Oct. 2023. pdf
  2. Arunkumar K. P., Underwater Acoustic Communications: Algorithms for Delay-Scale Spread Wideband Channels, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, Dec. 2022. pdf
  3. Sai Subramanyam Thoota, Variational Bayes Algorithms for mmWave and Massive MIMO-OFDM Systems with Low Resolution ADCs, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, May 2022. pdf
  4. Dheeraj Prasanna, Structured Sparse Signal Recovery for mmWave Channel Estimation: Intra-vector Correlation and Modulo Compressed Sensing, M. Tech. (Research) Thesis, Dept. of ECE, Indian Institute of Science, Aug. 2021. pdf
  5. Lekshmi Ramesh, Support Recovery from Linear Measurements: Tradeoffs in the Measurement-Constrained Regime, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, Mar. 2021. pdf
  6. Geethu Joseph, Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, June 2019. pdf
  7. Saurabh Khanna, Bayesian Techniques for Joint Sparse Signal Recovery: Theory and Algorithms, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, May 2018. pdf
  8. Mohit K. Sharma, Design of Communication Systems with Energy Harvesting Transmitters and Receivers, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, May 2018. pdf
  9. Venugopalakrishna Y. R., Data Fusion based Physical Layer Protocols for Cognitive Radio Applications, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, Jun. 2016. pdf
  10. Abhay Sharma, Finding a Subset of Non-defective Items from a Large Population: Fundamental Limits and Efficient Algorithms, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, May. 2015. pdf
  11. Ranjitha Prasad, Sparse Bayesian Learning for Joint Channel Estimation and Data Detection in OFDM Systems, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, Mar. 2015. pdf
  12. Parthajit Mohapatra, Fundamental Limits of Communication in Interference Limited Environments, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, Jan. 2015. pdf
  13. G. Sanjeev, Spectrum Sensing Techniques for Cognitive Radio Applications, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, Jan. 2015. pdf
  14. T. Ganesan, Source and Channel Coding Techniques for the MIMO Reverse-link Channel, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, Apr. 2014. pdf
  15. B. N. Bharath, Reverse Channel Training in Multiple Antenna Time Division Duplex Systems, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, India, Jan. 2013. pdf
  16. C. R. Murthy, Channel Estimation and Feedback for Multiple Antenna Communication, PhD Thesis, Dept. of ECE, University of California, San Diego, CA, USA, 2006. pdf

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