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Raviraj S. Adve

Raviraj S. Adve

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
12974
World Ranking
3457
National Ranking
154

Research.com Recognitions

  • 2017 - IEEE Fellow For development of signal processing techniques for airborne radar

Overview

Raviraj S. Adve is affiliated with the University of Toronto in Canada and conducts research primarily in the fields of Engineering and Computer Science. Their work spans a range of subfields including Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Biomedical Engineering, and Molecular Biology.

The scientist's research interests focus on topics related to advanced wireless communication and network optimization. These topics include Advanced MIMO Systems Optimization, Cooperative Communication and Network Coding, Advanced Wireless Network Optimization, Molecular Communication and Nanonetworks, Energy Harvesting in Wireless Networks, Millimeter-Wave Propagation and Modeling, and Antenna Design and Analysis.

Frequent collaborators with Raviraj S. Adve include Hussein A. Ammar, Shahram Shahbazpanahi, Gary Boudreau, K. V. Srinivas, and Ivo Maljević. The collective work with these coauthors spans numerous publications and contributions to the wireless communication community.

Key recent papers authored or co-authored by Raviraj S. Adve include:

  • User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions, 2021, IEEE Communications Surveys & Tutorials
  • Downlink Resource Allocation in Multiuser Cell-Free MIMO Networks With User-Centric Clustering, 2021, IEEE Transactions on Wireless Communications
  • Centralized and Distributed Deep Reinforcement Learning Methods for Downlink Sum-Rate Optimization, 2020, IEEE Transactions on Wireless Communications
  • SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition, 2021, IEEE Aerospace and Electronic Systems Magazine
  • Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems, 2021, arXiv (Cornell University)

The scientist has published extensively in several venues with high frequency, including arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Access, and IEEE Transactions on Signal Processing.

In addition to research articles, Raviraj S. Adve has contributed to book publications, including the title Cellular Radio Access Networks, set to be published by Springer Science+Business Media in 2025.

Raviraj S. Adve was awarded the IEEE Fellow distinction in 2017, recognized for contributions to signal processing techniques for airborne radar.

Best Publications

  • Improving amplify-and-forward relay networks: optimal power allocation versus selection

    Yi Zhao;Raviraj Adve;Teng Joon Lim

  • Selection cooperation in multi-source cooperative networks

    E. Beres;R. Adve

  • Non-Coherent Code Acquisition in the Multiple Transmit/Multiple Receive Antenna Aided Single- and Multi-Carrier DS-CDMA Downlink

    SeungHwan Won;Lajos Hanzo

  • Symbol error rate of selection amplify-and-forward relay systems

    Yi Zhao;R. Adve;Teng Joon Lim

  • Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel

    K. V. Srinivas;Andrew W. Eckford;Raviraj S. Adve

  • User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions.

    Hussein A. Ammar;Raviraj Adve;Shahram Shahbazpanahi;Gary Boudreau

  • Large-scale MIMO versus network MIMO for multicell interference mitigation

    Kianoush Hosseini;Wei Yu;Raviraj S. Adve

  • A deterministic least-squares approach to space-time adaptive processing (STAP)

    Tapan Kumar Sarkar;Hong Wang;Sheeyun Park;R. Adve

  • Compensation for the effects of mutual coupling on direct data domain adaptive algorithms

    R.S. Adve;T.K. Sarkar

  • Outage probability at arbitrary SNR with cooperative diversity

    Y. Zhao;R. Adve;T.J. Lim

  • Molecular communication in fluid media: The additive inverse Gaussian noise channel

    K. V. Srinivas;Raviraj S. Adve;Andrew W. Eckford

  • Molecular Communication Using Brownian Motion With Drift

    S. Kadloor;R. S. Adve;A. W. Eckford

  • Space-time adaptive processing: a knowledge-based perspective for airborne radar

    M.C. Wicks;M. Rangaswamy;R. Adve;T.B. Hale

  • On Selection Cooperation in Distributed Networks

    E. Beres;R. Adve

  • Application of the Cauchy method for extrapolating/interpolating narrowband system responses

    R.S. Adve;T.K. Sarkar;S.M. Rao;E.K. Miller

  • Linear Processing for the Downlink in Multiuser MIMO Systems with Multiple Data Streams

    Ali M. Khachan;Adam J. Tenenbaum;Raviraj S. Adve

  • A tutorial on wavelets from an electrical engineering perspective. I. Discrete wavelet techniques

    T.K. Sarkar;C. Su;R. Adve;M. Salazar-Palma

  • Relay selection and power allocation in cooperative cellular networks

    Sachin Kadloor;Raviraj Adve

  • Minimum norm mutual coupling compensation with applications in direction of arrival estimation

    C.K.E. Lau;R.S. Adve;T.K. Sarkar

  • Extrapolation of time-domain responses from three-dimensional conducting objects utilizing the matrix pencil technique

    R.S. Adve;T.K. Sarkar;O.M.C. Pereira-Filho;S.M. Rao

Frequent Co-Authors

Andrew W. Eckford
Andrew W. Eckford York University
Tapan K. Sarkar
Tapan K. Sarkar Syracuse University
Michael C. Wicks
Michael C. Wicks University of Dayton
Shahram Shahbazpanahi
Shahram Shahbazpanahi University of Ontario Institute of Technology
Teng Joon Lim
Teng Joon Lim University of Sydney
Wei Yu
Wei Yu University of Toronto
Murat Uysal
Murat Uysal New York University Abu Dhabi
Sean Victor Hum
Sean Victor Hum University of Toronto
Hugh Griffiths
Hugh Griffiths University College London
Muralidhar Rangaswamy
Muralidhar Rangaswamy United States Air Force Research Laboratory

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