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. 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 Wireless Networks
  • Massive MIMO Technology
  • mmWave MIMO Systems
  • Non-Orthogonal Multiple Access (NOMA)
  • Filter-Bank Multi-Carrier (FBMC)-MIMO
  • Full-Duplex and Cooperative Communication
  • Optimization and Resource Allocation for 5G
  • Cognitive Radio and License Assisted Access (LAA)

Latest News

  • 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

  • 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.