Welcome to the Multimedia Wireless Networks (MWN) Lab at IIT Kanpur. Faculty and student members of MWN are involved in carrying out research on cutting edge technologies for Next Gen Wireless Networks, with a special emphasis on 5G and 6G. The aim of the lab is to develop robust techniques and transceiver architectures for reliable signal transmission and reception in mobile cellular and WiFi systems. The projects being carried out are focused on solving high impact challenging issues related to signal coding, communication and processing, and developing solutions that can be rapidly prototyped for baseband ASIC implementation in mobile wireless devices. The current focus areas of at MWN members are listed below.

Research Areas

  • 5G and 6G Wireless Technologies
  • OTFS Modulation
  • Terahertz Systems
  • Visible Light Communication (VLC)
  • Intelligent Reflecting Surface (IRS) Technology
  • Massive MIMO Technology
  • mmWave MIMO Systems
  • Non-Orthogonal Multiple Access (NOMA)
  • Filter-Bank Multi-Carrier (FBMC)-MIMO
  • Optimization and Resource Allocation for 5G/ 6GS

Latest News

  • We are delighted to share that Ms. Abhisha Garg, Ph.D. scholar under the supervision of Prof. Aditya K. Jagannatham, Department of Electrical Engineering, MWN Lab, IIT Kanpur, has been awarded the IEEE SPS scholarship for the year 2023.

  • Kunwar Pritiraj Rajput, Mohammad Faisal Ahmed, Naveen K. D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo, " Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy Harvesting Aided IoT Networks", Accepted for publication in IEEE Sensors Journal.

  • Shubham Saxena, Suraj Srivastava, Saurabh Sharma, Aditya K. Jagannatham, and Lajos Hanzo, "Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning," Accepted for publication in IEEE Open Journal of the Communications Society

  • Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo, "Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation", Accepted for publication in IEEE Sensors Journal.

  • Jitendra Singh, Suraj Srivastava, Surya Prakash Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems," Accepted for publication in IEEE Open Journal of Vehicular Technology

  • Indranil Chatterjee, Jitendra Singh, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Frequency Selective Hybrid Beamforming and Optimal Power Loading for Multiuser Millimeter Wave Cognitive Radio Networks," Accepted for publication in IEEE Access

  • Jitendra Singh, Suraj Srivastava, Surya Prakash Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems," Accepted for publication in IEEE Open Journal of Vehicular Technology

  • Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Data-Aided CSI Estimation Using Affine-Precoded Superimposed Pilots in Orthogonal Time Frequency Space Modulated MIMO Systems," Accepted for publication in IEEE Transactions on Communications

  • Meesam Jafri, Sana Anwer, Suraj Srivastava, and A. K. Jagannatham "Sparse Estimation in mmWave MIMO-OFDM Joint Radar and Communication (JRC) Systems", Accepted for publication in IEEE Statistical Signal Processing Workshop (SSP), 2023

  • Priyanka Maity, Suraj Srivastava, Kunwar Pritiraj Rajput, Naveen K.D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo "Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks", Accepted for publication in IEEE Internet of Things Journal

  • The research proposal titled "Blind Zone Target Localization in IRS-assisted mmWave MIMO OFDM Radar Sensor Networks" by student members Priyanka Maity, Sushanth Varma Srijampana under the supervision of Prof. Aditya K. Jaganntham, IIT Kanpur has been selected as one of the finalists for the Qualcomm Innovation Fellowship (QIF)-2023

  • The research proposal titled "Learning and Beamforming Techniques for 6G Hybrid MIMO TeraHertz (THz) systems" by student member Abhisha Garg under the supervision of Prof. Aditya K. Jagannatham, IIT Kanpur has been selected as one of the finalists for the Qualcomm Innovative Fellowship (QIF)-2023.

  • Priyanka Maity, Sunaina Khatri, Suraj Srivastava, and A. K. Jagannatham "Dictionary Learning (DL)-based Sparse Cascaded Channel Estimation in IRS-assisted Terahertz MU-SIMO Systems With Hardware Impairments", Accepted for presentation in IEEE Statistical Signal Processing Workshop (SSP), 2023

  • Priyanka Maity, Kunwar Pritiraj Rajput, Suraj Srivastava, Naveen K.D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo, "Robust Hybrid Transceiver Designs for Linear Decentralized Estimation in mmWave MIMO IoT Networks in the Face of Imperfect CSI," Accepted for publication in IEEE Internet of Things Journal

  • Kunwar Pritiraj Rajput, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Robust Linear Decentralized Tracking of a Time-Varying Sparse Parameter Relying on Imperfect CSI, " Accepted for publication in IEEE Internet of Things Journal

  • Jitendra Singh, Indranil Chatterjee, Suraj Srivastava, Abhishek Agrahari, Aditya K Jagannatham and Hanzo, Lajos "Hybrid Transceiver Design and Optimal Power Allocation for the Cognitive mmWave Multiuser MIMO Downlink Relying on Limited Feedback", Accepted for publication in IEEE Open Journal of Vehicular Technology

  • Meesam Jafri, Suraj Srivastava, Sana Anwer and Aditya K. Jagannatham, "Sparse Parameter Estimation and Imaging in mmWave MIMO Radar Systems With Multiple Stationary and Mobile Targets", Accepted for publication in IEEE Access.

  • Rajput, Kunwar; Maity, Priyanka; Srivastava, Suraj; Sharma, Vikas; Venkategowda, Naveen; Jagannatham, itya; Hanzo, Lajos, "Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks", Accepted for publication in IEEE Internet of Things Journal.

  • Meesam Jafri, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham and Lajos Hanzo, "Cooperative Hybrid Transmit Beamforming in Cell-free mmWave MIMO Networks", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Priyanka Maity, Suraj Srivastava, Sunaina Khatri and Aditya K. Jagannatham, "Dictionary-Learning (DL)-Based Sparse CSI Estimation in Multiuser Terahertz (THz) Hybrid MIMO Systems Under Hardware Impairments and Beam-Squint Effect", Accepted for publication in IEEE Access.

  • Meesam Jafri, Amrit Anand, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Robust Distributed Hybrid Beamforming in Coordinated Multi-user Multi-cell mmWave MIMO Systems Relying on Imperfect CSI", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, A. Tripathi, N. Varshney, Aditya K. Jagannatham and Lajos Hanzo, "Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation", Accepted for publication in IEEE Transactions on Wireless Communications

  • Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham and Lajos Hanzo, "Delay-Doppler and Angular Domain 4D-Sparse CSI Estimation in OTFS Aided MIMO Systems", Accepted for publication in IEEE Transactions on Vehicular Technology

  • Dr. Suraj Srivastava, PhD scholar of MWN lab, has been awarded the "OUTSTANDING PhD THESIS AWARD" for the year 2022 for his PhD thesis titled "Sparse Channel Estimation Techniques for mmWave Hybrid MIMO Systems"

  • Suraj Srivastava, R. K. Singh, A. K. Jagannatham, A. Chockalingam and L. Hanzo “OTFS Transceiver Design and Sparse Doubly-Selective CSI Estimation in Analog and Hybrid Beamforming Aided mmWave MIMO Systems”, Accepted for publication in IEEE Transactions on Wireless Communications.

  • A. Mehrotra, R. K. Singh, Suraj Srivastava, and A. K. Jagannatham “Channel Estimation Techniques for CP-Aided OTFS Systems Relying on Practical Pulse Shapes”, Accepted for Presentation in Signal Processing and Communications (SPCOM), 2022

  • The research proposal titled “Orthogonal Time-Frequency Space (OTFS) Modulation for Joint Radar and Communication (RadCom) in mmWave Massive MIMO Systems” by student members Meesam Jafri, Mr. Suraj Srivastava under the supervision of Prof. Aditya K. Jaganntham, IIT Kanpur has been selected as one of the winners of the Qualcomm Innovation Fellowship (QIF)-2022

  • The research proposal titled “Secure parameter estimation in mmWave IoT Networks” by student members Priyanka Maity, Kunwar Pritiraj Rajput under the supervision of Prof. Aditya K. Jaganntham, IIT Kanpur has been selected as one of the finalists for the Qualcomm Innovation Fellowship (QIF)-2022

  • Jitendra Singh, Indranil Chatterjee, Suraj Srivastava and Aditya K Jagannatham, "Hybrid Transceiver Design and Optimal Power Allocation in Downlink mmWave Hybrid MIMO Cognitive Radio Systems", Accepted for publication in National Conference on Communications (NCC).

  • Prem Singh, Suraj Srivastava, Amrita Mishra, Aditya K. Jagannatham and Lajos Hanzo, "Sparse Bayesian Learning Aided Estimation of Doubly-Selective MIMO Channels for Filter Bank Multicarrier Systems", Accepted for publication in IEEE Transactions on Communications.

  • Akash Agarwal and Aditya K. Jagannatham, "SWIPT-enabled Cognitive Overlay-Based Non-Orthogonal Multi-User MIMO Cooperative Communication with Battery-Equipped Energy Harvesting Nodes", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Apoorva Chawla, Palla Siva Kumar, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Centralized and Distributed Millimeter Wave Massive MIMO based Data Fusion with Perfect and Bayesian Learning (BL)-based Imperfect CSI", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham and Lajos Hanzo, "Bayesian Learning Aided Simultaneous Row and Group Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated MIMO systems", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham and Lajos Hanzo, "Bayesian Learning Aided Sparse Channel Estimation for Orthogonal Time Frequency Space Modulated Systems", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Apoorva Chawla, Rakesh Kumar Singh, Adarsh Patel, Aditya K. Jagannatham and Lajos Hanzo, "Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks," Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Kunwar Pritiraj Rajput, Mohd. Faisal Ahmed, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Govind Sharma, and Lajos Hanzo, "Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks" Accepted for publication in IEEE Transactions on communications.

  • Suraj Srivastava, Ch Suraj Kumar Patro, Aditya K. Jagannatham and Lajos Hanzo, "Sparse, Group-Sparse and Online Bayesian Learning Aided Channel Estimation for Doubly-Selective mmWave Hybrid MIMO OFDM Systems", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, Jaitra Nath and Aditya K. Jagannatham, "Data Aided Quasistatic and Doubly-Selective CSI Estimation using Affine-Precoded Superimposed Pilots in Millimeter Wave MIMO-OFDM Systems", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Kunwar Pritiraj Rajput, Abhishek Kumar, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Bayesian Learning-based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI, "Accepted for publication in IEEE Transactions on communications.

  • Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, and Pramod K. Varshney, "Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks under CSI Uncertainty, "Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Our lab alumnus Dr. Naveen K.D. Venkategowda joins Linköping University, Sweden, as Assistant Professor in the Department of Science and Technology (ITN). Linköping University is one of the top Public universities in Sweden. Hearty Congrats!

  • Manjeer Majumder, Harshit Saxena, Suraj Srivastava, and Aditya K. Jagannatham, "Optimal Bit Allocation-Based Hybrid Precoder-Combiner Design Techniques for mmWave MIMO-OFDM Systems", Accepted for publication in IEEE Access.

  • Suraj Srivastava, Pooja Sharma, Saumya Dwivedi, Aditya K. Jagannatham and Lajos Hanzo, "Fast Block LMS Based Estimation of Angularly Sparse Channels for Single-Carrier Wideband Millimeter Wave Hybrid MIMO Systems", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • MWN Lab alumnus Dr. Amrita Mishra joins the prestigious IIIT Bangalore as a faculty member. Hearty congrats Amrita!

  • Ph.D. Thesis of 5G MWN Lab alumnus Dr. Prem Singh Rawat titled "FBMC-based Signal Processing for SISO, MIMO, and Multi-User Massive MIMO Systems" has been awarded the Best PhD Thesis award in the 4th International Conference on Information and Communication Technology, CICT 2020.

  • Akash Agarwal, Rishabh Chaurasiya, Sudhakar Rai, and Aditya K. Jagannatham, "Outage Probability Analysis for NOMA Downlink and Uplink Communication Systems with Generalized Fading Channels", Accepted for publication in IEEE Access.

  • Ph.D. Scholar Suraj Srivastava has been awarded the IEEE Communications Society (ComSoc) travel grant to attend the IEEE Global Communications Conference 2020 to be held from 7th - 11th December 2020 in Taipei, Taiwan.

  • Apoorva Chawla, Ajay Satyakumar Sarode, Aditya K. Jagannatham, Lajos Hanzo, "Distributed Parameter Detection in Massive MIMO Wireless Sensor Networks Relying on Imperfect CSI", Accepted for publication in IEEE Transactions on Wireless Communications.

  • Ph.D. Graduate Dr. Ankit Kudeshia joins the Institute for Infocomm Research (I2R) at A*STAR Singapore as Scientist-I for his Post-Doctoral Research.

  • Suraj Srivastava, Prem Singh, Aditya K. Jagannatham, Abhay Karandikar and Lajos Hanzo, "Bayesian Learning-Based Doubly-Selective Sparse Channel Estimation for Millimeter Wave Hybrid MIMO-FBMC-OQAM Systems", Accepted for publication in IEEE Transactions on Communications

  • Suraj Srivastava and Aditya K. Jagannatham, "MSBL-based Simultaneous Sparse Channel Estimation in SC Wideband mmWave Hybrid MIMO Systems", Accepted for publication in IEEE GLOBECOM 2020, December 7 - 11, in Taipei, Taiwan

  • Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham and Pramod K. Varshney, "Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks", Accepted for publication in IEEE GLOBECOM 2020, December 7 - 11, in Taipei, Taiwan.

  • Prem Singh, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Second-Order Statistics-Based Semi-Blind Techniques for Channel Estimation in Millimeter-Wave MIMO Analog and Hybrid Beamforming", Accepted for publication in IEEE Transactions on Communications

  • Manjeer Majumder and Aditya K. Jagannatham, "Optimal Pilot Design and Error Rate Analysis of Block Transmission Systems in the Presence of Channel State Information (CSI) Estimation Error", Accepted for publication in IEEE Access.

  • Navneet Garg, Aditya K. Jagannatham, Govind Sharma, Tharmalingam Ratnarajah, "Precoder Feedback Schemes for Robust Interference Alignment with Bounded CSI Uncertainty", Accepted for publication in the IEEE Transactions on Signal and Information Processing over Networks.

  • Proposal by Suraj Srivastava, Pooja Sharma and Aditya K. Jagannatham, titled "Fast IFFT/ FFT-based Adaptive Sparse Wireless Channel Tracking for 5G-mmWave Multiuser MIMO-OFDM Systems with Limited Feedback" has been selected as one of the finalists for the 2020 Qualcomm Innovation Fellowship (India)!

  • Suraj Srivastava, Mahendra Sarath Kumar, Amrita Mishra, Sanjana Chopra, Aditya K. Jagannatham and Lajos Hanzo, "Sparse Doubly-Selective Channel Estimation Techniques for OSTBC MIMO-OFDM Systems: A Hierarchical Bayesian Kalman Filter Based Approach", Accepted for publication in IEEE Transactions on Communications.

  • Ankit Kudeshia, Mohd. Abbas Zaidi, Aditya K. Jagannatham, and Chandra Prakash, "Hierarchical Trellis Based Decoder For Total Variation Sequence Detection (TVSD) In Space-Time Trellis Coded (STTC) Wireless Image/ Video Communication", Accepted for publication in IEEE Access.

  • Akash Agarwal, Aditya K. Jagannatham and Lajos Hanzo, "Finite Blocklength Non-Orthogonal Cooperative Communication Relying on SWIPT-enabled Energy Harvesting Relays", Accepted for publication in IEEE Transactions on Communications.

  • Prem Singh, Himanshu B. Mishra, Aditya K. Jagannatham, K. Vasudevan, and Lajos Hanzo, "Uplink Sum-Rate and Power Scaling Laws for Multi-User Massive MIMO-FBMC Systems", Accepted for publication in IEEE Transactions on Communications.

  • Amrita Mishra, Aditya K. Jagannatham, and Lajos Hanzo, "Sparse Bayesian Learning-Aided Joint Sparse Channel Estimation and ML Sequence Detection in Space-Time Trellis Coded MIMO-OFDM Systems", Accepted for publication in IEEE Transactions on Communications.

  • Prof. Aditya K. Jagannatham has been awarded the prestigious Arun Kumar Chair Professorship at IIT Kanpur.

  • Prof Aditya Jagannatham (PI) and Prof Abhay Karandikar (Co-PI) awarded project on "Spectrum Utilization Policies and Techniques for Millimeter Wave (mmWave) MIMO-based Internet of Things (IoT) in 5G Wireless Networks" by IIMA IDEA Telecom Centre of Excellence (IITCOE).

  • PhD student Neeraj Varshney selected for guest researcher position in prestigious National Institute of Standards and Technology (NIST), Maryland, USA.

  • PhD student Abhishek Agrahari selected for guest researcher position in prestigious National Institute of Standards and Technology (NIST), Maryland, USA.

  • Team of students Mr. Suraj Srivastava, Ms. Saumya Dwivedi and Prof. Aditya K. Jagannatham has won the Qualcomm Innovation Fellowship (QInF), 2018.

Recent Journal Publications

  • Kunwar Pritiraj Rajput, Mohammad Faisal Ahmed, Naveen K. D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo, " Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy Harvesting Aided IoT Networks", Accepted for publication in IEEE Sensors Journal.

  • Shubham Saxena, Suraj Srivastava, Saurabh Sharma, Aditya K. Jagannatham, and Lajos Hanzo, "Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning," Accepted for publication in IEEE Open Journal of the Communications Society

  • Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo, "Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation", Accepted for publication in IEEE Sensors Journal.

  • Indranil Chatterjee, Jitendra Singh, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Frequency Selective Hybrid Beamforming and Optimal Power Loading for Multiuser Millimeter Wave Cognitive Radio Networks," Accepted for publication in IEEE Access

  • Jitendra Singh, Suraj Srivastava, Surya Prakash Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Energy Efficiency Optimization in Reconfigurable Intelligent Surface Aided Hybrid Multiuser mmWave MIMO Systems," Accepted for publication in IEEE Open Journal of Vehicular Technology

  • Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Data-Aided CSI Estimation Using Affine-Precoded Superimposed Pilots in Orthogonal Time Frequency Space Modulated MIMO Systems," Accepted for publication in IEEE Transactions on Communications

  • Priyanka Maity, Suraj Srivastava, Kunwar Pritiraj Rajput, Naveen K.D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo "Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks", Accepted for publication in IEEE Internet of Things Journal

  • Priyanka Maity, Kunwar Pritiraj Rajput, Suraj Srivastava, Naveen K.D. Venkategowda, Aditya K. Jagannatham, and Lajos Hanzo, "Robust Hybrid Transceiver Designs for Linear Decentralized Estimation in mmWave MIMO IoT Networks in the Face of Imperfect CSI, " Accepted for publication in IEEE Internet of Things Journal

  • Kunwar Pritiraj Rajput, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Robust Linear Decentralized Tracking of a Time-Varying Sparse Parameter Relying on Imperfect CSI, " Accepted for publication in IEEE Internet of Things Journal

  • Jitendra Singh, Indranil Chatterjee, Suraj Srivastava, Abhishek Agrahari, Aditya K Jagannatham and Hanzo, Lajos "Hybrid Transceiver Design and Optimal Power Allocation for the Cognitive mmWave Multiuser MIMO Downlink Relying on Limited Feedback", Accepted for publication in IEEE Open Journal of Vehicular Technology

  • Meesam Jafri, Suraj Srivastava, Sana Anwer and Aditya K. Jagannatham, "Sparse Parameter Estimation and Imaging in mmWave MIMO Radar Systems With Multiple Stationary and Mobile Targets", Accepted for publication in IEEE Access.

  • Rajput, Kunwar; Maity, Priyanka; Srivastava, Suraj; Sharma, Vikas; Venkategowda, Naveen; Jagannatham, itya; Hanzo, Lajos, "Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks", Accepted for publication in IEEE Internet of Things Journal.

  • Meesam Jafri, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham and Lajos Hanzo, "Cooperative Hybrid Transmit Beamforming in Cell-free mmWave MIMO Networks", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Priyanka Maity, Suraj Srivastava, Sunaina Khatri and Aditya K. Jagannatham, "Dictionary-Learning (DL)-Based Sparse CSI Estimation in Multiuser Terahertz (THz) Hybrid MIMO Systems Under Hardware Impairments and Beam-Squint Effect", Accepted for publication in IEEE Access.

  • Meesam Jafri, Amrit Anand, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Robust Distributed Hybrid Beamforming in Coordinated Multi-user Multi-cell mmWave MIMO Systems Relying on Imperfect CSI", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, A. Tripathi, N. Varshney, Aditya K. Jagannatham and Lajos Hanzo, "Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation", Accepted for publication in IEEE Transactions on Wireless Communications

  • Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham and Lajos Hanzo, "Delay-Doppler and Angular Domain 4D-Sparse CSI Estimation in OTFS Aided MIMO Systems", Accepted for publication in IEEE Transactions on Vehicular Technology

  • Prem Singh, Suraj Srivastava, Amrita Mishra, Aditya K. Jagannatham and Lajos Hanzo, "Sparse Bayesian Learning Aided Estimation of Doubly-Selective MIMO Channels for Filter Bank Multicarrier Systems", Accepted for publication in IEEE Transactions on Communications.

  • Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Kumar Vijay Mishra and Aditya K. Jagannatham, "Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs", Accepted for publication in IEEE Signal processing Letters.

  • Apoorva Chawla, Palla Siva Kumar, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Centralized and Distributed Millimeter Wave Massive MIMO based Data Fusion with Perfect and Bayesian Learning (BL)-based Imperfect CSI", Accepted for publication in IEEE Transactions on communications.

  • Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham and Lajos Hanzo, "Bayesian Learning Aided Simultaneous Row and Group Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated MIMO systems", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham and Lajos Hanzo, "Bayesian Learning Aided Sparse Channel Estimation for Orthogonal Time Frequency Space Modulated Systems", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Apoorva Chawla, Rakesh Kumar Singh, Adarsh Patel, Aditya K. Jagannatham and Lajos Hanzo, "Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks," Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Kunwar Pritiraj Rajput, Mohd. Faisal Ahmed, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Govind Sharma, and Lajos Hanzo, "Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks" Accepted for publication in IEEE Transactions on communications.

  • Suraj Srivastava, Ch Suraj Kumar Patro, Aditya K. Jagannatham and Lajos Hanzo, "Sparse, Group-Sparse and Online Bayesian Learning Aided Channel Estimation for Doubly-Selective mmWave Hybrid MIMO OFDM Systems", Accepted for publication in IEEE Transactions on Communications.

  • Suraj Srivastava, Jaitra Nath and Aditya K. Jagannatham, "Data Aided Quasistatic and Doubly-Selective CSI Estimation using Affine-Precoded Superimposed Pilots in Millimeter Wave MIMO-OFDM Systems", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Kunwar Pritiraj Rajput, Abhishek Kumar, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Bayesian Learning-based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI, "Accepted for publication in IEEE Transactions on communications.

  • Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, and Pramod K. Varshney, "Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks under CSI Uncertainty, "Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Manjeer Majumder, Harshit Saxena, Suraj Srivastava, and Aditya K. Jagannatham, "Optimal Bit Allocation-Based Hybrid Precoder-Combiner Design Techniques for mmWave MIMO-OFDM Systems", Accepted for publication in IEEE Access.

  • Suraj Srivastava, Pooja Sharma, Saumya Dwivedi, Aditya K. Jagannatham and Lajos Hanzo, "Fast Block LMS Based Estimation of Angularly Sparse Channels for Single-Carrier Wideband Millimeter Wave Hybrid MIMO Systems", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Akash Agarwal, Rishabh Chaurasiya, Sudhakar Rai, and Aditya K. Jagannatham, "Outage Probability Analysis for NOMA Downlink and Uplink Communication Systems with Generalized Fading Channels", Accepted for publication in IEEE Access.

  • Apoorva Chawla, Ajay Satyakumar Sarode, Aditya K. Jagannatham, Lajos Hanzo, "Distributed Parameter Detection in Massive MIMO Wireless Sensor Networks Relying on Imperfect CSI", Accepted for publication in IEEE Transactions on Wireless Communications.

  • Suraj Srivastava, Prem Singh, Aditya K. Jagannatham, Abhay Karandikar and Lajos Hanzo, "Bayesian Learning-Based Doubly-Selective Sparse Channel Estimation for Millimeter Wave Hybrid MIMO-FBMC-OQAM Systems", Accepted for publication in IEEE Transactions on Communications

  • Prem Singh, Suraj Srivastava, Aditya K. Jagannatham and Lajos Hanzo, "Second-Order Statistics-Based Semi-Blind Techniques for Channel Estimation in Millimeter-Wave MIMO Analog and Hybrid Beamforming", Accepted for publication in IEEE Transactions on Communications

  • Manjeer Majumder and Aditya K. Jagannatham, "Optimal Pilot Design and Error Rate Analysis of Block Transmission Systems in the Presence of Channel State Information (CSI) Estimation Error", Accepted for publication in IEEE Access.

  • Navneet Garg, Aditya K. Jagannatham, Govind Sharma, Tharmalingam Ratnarajah, "Precoder Feedback Schemes for Robust Interference Alignment with Bounded CSI Uncertainty", Accepted for publication in the IEEE Transactions on Signal and Information Processing over Networks.

  • Suraj Srivastava, Mahendra Sarath Kumar, Amrita Mishra, Sanjana Chopra, Aditya K. Jagannatham and Lajos Hanzo, "Sparse Doubly-Selective Channel Estimation Techniques for OSTBC MIMO-OFDM Systems: A Hierarchical Bayesian Kalman Filter Based Approach", Accepted for publication in IEEE Transactions on Communications.

  • Ankit Kudeshia, Mohd. Abbas Zaidi, Aditya K. Jagannatham, and Chandra Prakash, "Hierarchical Trellis Based Decoder For Total Variation Sequence Detection (TVSD) In Space-Time Trellis Coded (STTC) Wireless Image/ Video Communication", Accepted for publication in IEEE Access.

  • Akash Agarwal, Aditya K. Jagannatham and Lajos Hanzo, "Finite Blocklength Non-Orthogonal Cooperative Communication Relying on SWIPT-enabled Energy Harvesting Relays", Accepted for publication in IEEE Transactions on Communications.

  • Prem Singh, Himanshu B. Mishra, Aditya K. Jagannatham, K. Vasudevan, and Lajos Hanzo, "Uplink Sum-Rate and Power Scaling Laws for Multi-User Massive MIMO-FBMC Systems", Accepted for publication in IEEE Transactions on Communications.

  • Amrita Mishra, Aditya K. Jagannatham, and Lajos Hanzo, "Sparse Bayesian Learning-Aided Joint Sparse Channel Estimation and ML Sequence Detection in Space-Time Trellis Coded MIMO-OFDM Systems", Accepted for publication in IEEE Transactions on Communications.

  • Prem Singh, Himanshu B. Mishra, Aditya K. Jagannatham, and K. Vasudevan, "Semi-Blind, Training and Data-Aided Channel Estimation Schemes for MIMO-FBMC-OQAM Systems", Accepted for publication in IEEE Transactions on Signal Processing.

  • Apoorva Chawla, Adarsh Patel, Aditya K. Jagannatham, and Pramod K. Varshney, "Distributed Detection in Massive MIMO Wireless Sensor Networks under Perfect and Imperfect CSI", Accepted for publication in IEEE Transactions on Signal Processing.

  • Neeraj Varshney, Adarsh Patel, Werner Haselmayr, Aditya K. Jagannatham, Pramod K. Varshney, and Arumugam Nallanathan, "Impact of Intermediate Nanomachines in Multiple Cooperative Nanomachine-Assisted Diffusion Advection Mobile Molecular Communication", Accepted for publication IEEE Transactions on Communications .

  • Ankit Kudeshia, Aditya K. Jagannatham, and Lajos Hanzo, "Total Variation Based Joint Detection and State Estimation for Wireless Communication in Smart Grids", Accepted for publication in IEEE Access Journal.

  • Suraj Srivastava, Amrita Mishra, Anupama Rajoriya, Aditya K. Jagannatham and Gerd Ascheid, "Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL)-Based Approaches ", Accepted for publication in IEEE Transactions on Signal Processing.

  • Amrita Mishra, Vini Gupta, Saumya Dwivedi, Aditya K. Jagannatham, and Pramod K. Varshney, "Sparse Bayesian Learning-Based Target Imaging and Parameter Estimation for Monostatic MIMO Radar Systems", Accepted for publication in IEEE Access Journal.