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
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Latest News

  • Sudhakar Rai, Ekant Sharma, Neeraj Varshney, and Aditya K. Jagannatham, "Dynamic User Clustering for mmWave-Based NOMA Networks" Accepted for publication in 29th IEEE Asia-Pacific Conference on Communications (APCC), Bali, Indonesia, 2024.

  • Jitendra Singh, Awadhesh Gupta, Aditya K. Jagannatham, and Lajos Hanzo, "Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Meesam Jafri, Suraj Srivastava and Aditya K. Jagannatham, "Sparse Target Parameter and Channel Estimation in mmWave MIMO OTFS-aided Integrated Sensing and Communication Systems", Accepted for publication in IEEE Transactions on Communications.

  • Sudhakar Rai, Prem Singh, Ekant Sharma, Aditya K. Jagannatham, and Lajos Hanzo, "Energy Efficiency Optimization of FBMC/OQAM-based Massive MIMO Systems Subject to Electromagnetic Exposure Constraints", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Jitendra Singh, Suraj Srivastava, Surya P. Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Joint Hybrid Transceiver and Reflection Matrix Design for RIS-Aided mmWave MIMO Cognitive Radio Systems", Accepted for publication in IEEE Transactions on Cognitive Communications and Networking.

  • Meesam Jafri, Suraj Srivastava, Pankaj Kumar, Aditya K. Jagannatham, and Lajos Hanzo, " Cooperative Hybrid Beamforming for the Mitigation of Realistic Asynchronous Interference in Cell-free mmWave MIMO Networks", Accepted for publication in IEEE Transactions on Communications.

  • Ph.D. Scholar Meesam Jafri has been awarded the 2024 European Conference on Networks and Communications (EuCNC) & 6G Summit travel grant to attend the 2024 EuCNC & 6G Summit to be held from 3rd to 6th June 2024 in Antwerp, Belgium.

  • Jitendra Singh, Suraj Srivastava, and A. K. Jagannatham "Energy-Efficient Hybrid Beamforming for Integrated Sensing and Communication Enabled mmWave MIMO Systems", accepted for publication in IEEE 99th Vehicular Technology Conference (VTC)-Spring, IEEE, 2024

  • A. Mehrotra, Suraj Srivastava, and A. K. Jagannatham "BLMS and BRLS-based adaptive CSI estimation for IRS-assisted SISO and MIMO systems", accepted for publication in IEEE 99th Vehicular Technology Conference (VTC)-Spring, IEEE, 2024

  • Meesam Jafri, Suraj Srivastava, and A. K. Jagannatham "Bayesian Learning for Sparse Parameter Estimation in OTFS-Aided mmWave MIMO Radar Systems", accepted for publication in 2024 EuCNC & 6G Summit - PHY

  • Shubham Saxena, Suraj Srivastava, Saurabh Sharma and A. K. Jagannatham "Bayesian Learning-Based Sparse Channel Estimation in Visible Light ADO-OFDM Systems", accepted for publication in IEEE 99th Vehicular Technology Conference, VTC2024-Spring

  • Priyanka Maity, Suraj Srivastava, and A. K. Jagannatham "Bayesian Learning (BL)-based Extended Target localization in mmWave MIMO OFDM JRC Systems in the presence of Doppler and clutter", accepted for publication in IEEE 99th Vehicular Technology Conference, VTC2024-Spring

  • Abhisha Garg, Akash Kumar, Suraj Srivastava and Aditya K. Jagannatham, "Hybrid Transceiver Design and Sparse CSI Learning in MU THz Hybrid MIMO systems," Accepted for publication in Signal Processing and Communications(SPCOM), 2024

  • Abhisha Garg, Suraj Srivastava, Nimish Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning," Accepted for publication in IEEE Transactions on Communications

  • Awadhesh Gupta, Meesam Jafri, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "An Affine Precoded Superimposed Pilot Based mmWave MIMO-OFDM ISAC System", Accepted for publication in IEEE Open Journal of the Communications Society .

  • Palla Siva Kumar, Apoorva Chawla, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "Decision Fusion in Centralized and Distributed Multiuser Millimeter Wave Massive MIMO-OFDM Sensor Networks," Accepted for publication in IEEE Open Journal of the Communications Society

  • 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.

  • 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

  • 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.

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

  • 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.

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Recent Journal Publications

  • Jitendra Singh, Awadhesh Gupta, Aditya K. Jagannatham, and Lajos Hanzo, "Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles", Accepted for publication in IEEE Transactions on Vehicular Technology.

  • Meesam Jafri, Suraj Srivastava and Aditya K. Jagannatham, "Sparse Target Parameter and Channel Estimation in mmWave MIMO OTFS-aided Integrated Sensing and Communication Systems", Accepted for publication in IEEE Transactions on Communications.

  • Jitendra Singh, Suraj Srivastava, Surya P. Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Joint Hybrid Transceiver and Reflection Matrix Design for RIS-Aided mmWave MIMO Cognitive Radio Systems", Accepted for publication in IEEE Transactions on Cognitive Communications and Networking.

  • Abhisha Garg, Suraj Srivastava, Nimish Yadav, Aditya K. Jagannatham, and Lajos Hanzo, "Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning," Accepted for publication in IEEE Transactions on Communications

  • Awadhesh Gupta, Meesam Jafri, Suraj Srivastava, Aditya K. Jagannatham, and Lajos Hanzo, "An Affine Precoded Superimposed Pilot Based mmWave MIMO-OFDM ISAC System", Accepted for publication in IEEE Open Journal of the Communications Society .

  • Meesam Jafri, Suraj Srivastava, Sunil Kumar, Aditya K. Jagannatham and Lajos Hanzo, "Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks", accepted for publication in IEEE Open Journal of Vehicular Technology.

  • 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

  • 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.