Research interests of Wireless System Design and Optimization (WiSDOM) Lab

We design and optimize 5G+/6G wireless systems by applying following techniques

  • Machine learning and deep learning

  • Convex and non-convex optimization methods

  • Random matrix theory and linear algebra

  • Information theory

Overview Videos of the work being done in WiSDOM Lab
  • Venkatesh 's work on UAVs integrated in cell-free massive MIMO systems [Link].

  • Dheeraj 's work on energy harvesting in correlated massive MIMO systems [Link].

  • Souymadeep 's work on full-duplex cell free massive MIMO systems [Link].

  • Sauradeep's work on hardware-impaired massive MIMO systems: [Link].

  • Vilap's work on massive MIMO NOMA systems: [Link].

  • Anupama's work on application of Bayesian machine learning for massive MIMO systems: [Link].

  • Ekant's award winning PhD thesis on the analysis and optimization of massive MIMO systems: [Link].

  • Dheeraj's work on correlated massive MIMO systems: [Link].

Example research works. See the “Papers” tab for more details.

Machine learning and deep learning

  • Sparse Bayesian learning to design algorithms for Cloud-RAN and mMTC systems

  • Deep learning to optimize massive MIMO wireless systems

    • See our following papers e.g., [pdf-link]

Convex/non-convex optimization, random matrix theory

  • Analysis of practical massive MIMO systems with spatial correlation and hardware impairments

    • Practical massive MIMO system experience spatially correlated channels

    • They also designed using low-cost RF components which experience hardware impairments

    • We mathematically model such massive MIMO systems and analyze the performance of

    • See our following papers e.g., [pdf-link],[pdf-link],[pdf-link],[pdf-link]

  • Design of full duplex massive MIMO systems

    • Current 5G systems are half-duplex which can either transmit or receive

    • Consider full duplex systems and analyze and optimize their performance

    • See our following papers e.g., [pdf-link], [pdf-link]

  • Design of energy-efficient NOMA massive MIMO systems

    • Wireless systems are conventionally designed to optimize spectral efficiency

    • Due to extremely high energy requirements of wireless systems, they are being designed to optimize energy efficiency

    • See our following papers e.g., [pdf-link],[pdf-link]

Linear algebra and optimization for robust wireless transceiver design

  • Design wireless transceivers when with channel is not completely known at the transmitter

    • See our recent paper where we used fundamental properties of SVD e.g., [pdf-link]

Distributed optimization for massive MIMO systems

  • Develop optimization algorithms which can be executed on distributed processor architecture

    • See our following synchronous and synchronous ADMM papers e.g., [pdf-link], [pdf-link]

OTFS system design for high-speed vehicular communications

  • OTFS can combat inter-subcarrier interference which occurs at extremely high vehicular speed

    • OFDM performance degrades due to this interference

  • OTFS receiver design extremely high complexity

    • Designed low-complexity receivers and analyzed their performance

    • Papers have recently been accepted in IEEE ICC 2021 and IEEE Globelcom 2021

Wireless system design with limited feedback

  • Designed reduced complexity precoder where receiver feedbacks information using codebooks

Spatial modulation system design

  • Spatial modulation systems use antenna as additional dimension to transmit information

  • Proposed novel spatial modulation systems to increase spectral efficiency

Broad Research interests of WiSDOM Lab

  • 5G Massive MIMO, cell-free massive MIMO, full-duplex, millimeter wave and heterogeneous wireless communication networks.

  • Energy-efficient 5G systems.

  • Ultra reliable low-latency (URLLC) and massive machine type communications (mMTC) systems.

  • Device-to-Device (D2D)/Vehicle-to-Vehicle (V2V) communication systems.

  • Unmanned aerial vehicle (UAV) massive MIMO communication systems.

  • Extra large massive MIMO systems.

  • Intelligent reflective surfaces (IRS).

  • Cooperative wireless communications, multiuser MIMO communication systems.

  • Multi-hop and multi-cell wireless networks.

  • and spatial modulation systems.

  • Robust wireless transceivers.

  • Cross-layer scheduling algorithms