AVIK SENGUPTA, Ph.D.

5G Wireless Systems Engineer

Intel Mobile Communications, Santa Clara, CA USA.

3GPP RAN1 Delegate, Next Generation Standards Group

I'm a Wireless Systems Engineer at Intel Mobile Communications focusing on research and standardization of 5G-NR phyical layer radio access technology. My work is focused on developing advanced multiple input multiple output (MIMO) transmit/receive techniques and reference signal design for next generation wireless systems. I represent Intel at 3GPP RAN1 Standards Meetings as a delegate coordinating with other industry partners for the design of next generation wireless standards. I also lead the development of Intel's 3GPP standards-compliant system level simulation (SLS) platform for 5G/6G and with integration of Python based AI/ML modules for next generation systems.

I graduated with a Ph.D. in Wireless Communications from the Bradley Department of Electrical and Computer Engineering at Virginia Tech in December 2016. I worked with Wireless@VT and The Hume Center for National Security & Technology, and was co-advised by Dr. T. Charles Clancy and Dr. Ravi Tandon. My Ph.D. dissertation explores fundamental information theoretic limits of edge-caching and efficient content distribution in next generation wireless networks. When I'm not thinking about 6G or distributing content in wireless networks, I'm either playing the guitar, tinkering with my camera and/or consuming all things food!


Research Interests

  • Application of AI/ML in wireless PHY/MAC layer system design including integration in virtual radio access networks with different disaggregated CU/DU architectures. AI/ML applications for cloud and fog based radio acees with mobility
  • Wireless system design for sub-6GHz and mmWave MIMO with a focus on reference signal design, analog beamforming, multi-point coordinated beamforming
  • System level optimization for multi-user MIMO and coordinated multi-point Tx/Rx in wireless cellular networks
  • Reference signal design, downlink and uplink CSI enhancements and codebook design for high frequency (>52.6GHz) wireless newtorks with single and multi-carrier waveforms
  • Cellular system design for operation in unlicensed bands (inlcuding NR-U), dynamic spectrum access, spectrum sharing and cognitive radio access
  • Interference mitigation and capacity maximization for next generation wireless networks
  • Application of reiforcement and online learning techniques to augment current wireless receivers, gNB scheduling, noise and inteference mitigation techniques
  • Information theoretic limits of caching and content distribution in wireless edge networks including cloud and fog radio access

Education

Virginia Tech

Fall 2012 - Fall 2016

Ph.D. in ECE
Doctoral Dissertation
GPA: 3.94 / 4

Kansas State University

Fall 2010 - Spring 2012

Master of Science in ECE
Master's Thesis
GPA: 3.89 / 4

West Bengal University of Technology

Fall 2006 - Spring 2010

Bachelor of Technology in ECE
GPA: 8.87 / 10

Work Experience

Wireless Research Engineer

Intel Corporation, Santa Clara, CA | Feb 2017 - Present

Research on 5G/NR Physical Layer System Design:

  • applications of AI/ML to PHY/MAC layer, as well as fog and edge based radio access for next-generation data-driven wireless networks including 6G.
  • MIMO enhancements in 5G/NR with focus on reference signal design, CSI feedback, analog and digital beamforming, MU-MIMO and Coordinated multi-point transmit/receive.
  • NR systems design for operation in mmWave, above 52.6 GHz and THz bands with focus on waveform design and MIMO enhancements for single carrier waveforms.
  • Design and development lead for Intel's standards-compliant 5G/NR System Level Simulation platform (MATLAB). Development of Link Level Simulator platform for extensive evaluation of design proposals for 5G/NR reference signal design and channel estimation.
  • Generation of standards-essential patents to enhance Intel's 5G/NR IPR portfolio.

3GPP RAN1 Standardization Activities for 5G/NR:

  • 3GPP RAN1 Delegate representing Intel on multiple topics related to MIMO, AI/ML, Mobility, Multicast & Broadcast services, and IMT-2020 Self-Evaluation for system level performance evaluation of LTE and 5G/NR.
  • Lead researcher for Rel-16 NR work item on Low PAPR Reference Signal design. Multiple proposals accepted into standards with respect to DM-RS sequence design, initialization and signaling.
  • Major contributions to demodulation reference signal (DM-RS) design and MU-MIMO antenna port indication for Rel-15 NR.

Interim Engineering Intern - LTE Modem Systems

Qualcomm CDMA Technologies Inc., San Diego, CA | May 2016 - August 2016

QCT LTE Modem Systems Receiver Design: Working on LTE-A receiver demod algorithm design for TM3 (open loop spatial multiplexing) with a focus on performance vs. complexity trade-offs. Duties also include running system-level simulations on C-SIM, a bit-exact LTE-A simulator (Python,C++).

Graduate Research Assistant

Virginia Tech, Blacksburg, VA | August 2012 - December 2016

PhD candidate and GRA affiliated to Wireless@VT and Hume Center for National Security and Technology at Virginia Tech. Primary research focus is on fundamental limits of caching and content distribution in 5G wireless networks, latency trade-offs under secrecy constraints in delay limited IoT networks.

Research Intern - Wireless Access Lab

FutureWei Technologies (Huawei Research), Bridgewater, NJ | May 2014 - August 2014

LTE Radio Resource Management Design and System Level Simulations. Worked on downlink power control in multi-eNodeB LTE-A network and interference mitigation.

LTE Simulation Engineer Intern

BlackBerry, Irving, TX | May 2013 - August 2013

Design and simulation of LTE Device-to-Device (D2D) discovery and synchronization. Study of channel models for LTE D2D use cases. Design and analysis of PHY layer signal design for off-network LTE D2D discovery and joint synchronization.

Network Engineer II Intern

Spring Nextel, Overland Park, KS | May 2012 - August 2012

Study on the impact of MIMO on 3G and 4G LTE networks, 1xEVDO RSSI analysis using data from RF Cockpit.

Graduate Research and Teaching Assistant

Kansas State University | August 2010 - September 2012

GRA in WiCom Research Group, Kansas State University. Main research was based on developing Redundant Residue Number System based Space Time Block Codes for Quasi-Static MIMO Wireless Channels.
Teaching duties included maintaining office hours and grading for Wireless Communications, Communication Systems I, Electronic Circuits and Control & Circuit Theory I; as well as instructing Micro-controller Laboratory at weekly laboratory meetings, grading lab work and final projects by students.

Publications

Google Scholar Profile

Journal Publications

  1. Online Edge Caching and Wireless Delivery in Fog-Aided Networks With Dynamic Content Popularity

    S.M. Azimi, O. Simeone, A. Sengupta, R. Tandon
    IEEE Journal on Selected Areas in Communications, vol. 36, issue 6, pp 1189-1202, 7 June 2018.

  2. Fog-Aided Wireless Networks for Content Delivery: Fundamental Latency Trade-Offs

    A. Sengupta, R. Tandon and O. Simeone
    IEEE Trans. On Information Theory, vol. 63, issue 10, pp 6650 - 6678, 4 August 2017.

  3. Improved Approximation of Storage-Rate Tradeoff for Caching with Multiple Demands

    A. Sengupta, R. Tandon
    IEEE Trans. On Communications, vol. 65, issue 5, pp 1940-1955, 6 February 2017.

  4. Fundamental Limits of Caching with Secure Delivery

    A. Sengupta, R. Tandon and T.C. Clancy
    IEEE Trans. On Information Forensics and Security, vol. 10, issue 2, pp 355-370, 13 January 2015.
    Related Talk: Information Theory of Coded Caching, Wireless@VT Seminar, April 2015.

  5. Dynamic Resource Allocation for Cooperative Spectrum Sharing in LTE Networks

    A. Kumar, A. Sengupta, R. Tandon and T.C. Clancy
    IEEE Transactions on Vehicular Technology, vol. 64, issue 11, pp 5232-5245, 18 December 2014.

  6. Performance of Systematic RRNS based Space-Time Block Codes with Probability-Aware Adaptive Demapping

    A. Sengupta, B. Natarajan
    IEEE Trans. On Wireless Communications, vol. 12, issue 5, pp 2458-2469, May 2013.

  7. Redundant Residue Number System based Space-Time Block Codes

    A. Sengupta, B. Natarajan
    Elsevier Physical Communication, vol. 12, pp 1-15, 30 September 2014.

  8. Modelling a Voice Activated Speaker Identification System using MFCC-Pitch-Formant Vector

    A. Sengupta, R. Ghosh
    Journal of The Institution of Engineers (India): Series B, vol. 93, issue 1, pp 51-56, 1 March 2012.

Conference Publications

  1. MU-MIMO and CSI Feedback Performance of NR/LTE

    B. Mondal, V. Sergeev, A. Sengupta, et. al.,
    53rd Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, March 2019.

  2. 5G-NR (New Radio) CSI Computation Algorithm and Performance

    B. Mondal, V. Sergeev, A. Sengupta, A. Davydov
    52nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, October 2018.

  3. Impact of Analog Beamforming on 5G-NR mmWave System Performances

    B. Mondal, A. Sengupta, G. Ermolaev, V. Sergeev, A. Davydov, E. Kwon
    IEEE Vehicular Technology Conference (VTC-Fall), Chicago IL, August 2018.

  4. Online Edge Caching in Fog-Aided Wireless Networks

    S.M. Azimi, O. Simeone, A. Sengupta, R. Tandon
    IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, June 2017.

  5. Pipelined Fronthaul-Edge Content Delivery in Fog Radio Access Networks

    A. Sengupta, R. Tandon, O.Simeone
    IEEE Globecom Workshops - International Workshop on Emerging Technologies for 5G Wireless Cellular Networks, Washington DC, December 2016.

  6. Layered Caching for Heterogeneous Storage

    A. Sengupta, R. Tandon and T. C. Clancy
    50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2016.

  7. Malware Propagation in Fully Connected Networks: A Netflow-Based Analysis

    K. M. Straub, A. Sengupta, J. M. Ernst, R. W. McGwier, M. Watchorn, R. Tilley and R. Marchany
    IEEE Military Communications Conference (MILCOM), Baltimore, MD, November 2016.

  8. Cloud RAN and Edge Caching: Fundamental Performance Trade-Offs

    A. Sengupta, R. Tandon and O. Simeone
    IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Edinburgh, UK, July 2016.

  9. Cache aided wireless networks: Tradeoffs between storage and latency

    A. Sengupta, R. Tandon and O. Simeone
    50th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, 16-18 March 2016.

  10. Improved Approximation of Storage-Rate Tradeoff for Caching via New Outer Bounds

    A. Sengupta, R. Tandon and T.C. Clancy
    IEEE International Symposium on Information Theory (ISIT), pp 1691-1695, Hong Kong, 14-19 June 2015.

  11. Beyond cut-set bounds - the approximate capacity of D2D networks

    A. Sengupta, R. Tandon
    Information Theory and Applications Workshop (ITA), pp 78-83, San Diego, CA, 1-6 February 2015.

  12. Learning distributed caching strategies in small cell networks

    A. Sengupta, S. Amuru, R. Tandon, R. M. Buehrer, T. Charles Clancy
    IEEE International Symposium on Wireless Communications Systems (ISWCS), pp 917-921, Barcelona, Spain, 26 August 2014.

  13. Secure Caching with Non-Uniform Demands

    A. Sengupta, R. Tandon and T. Charles Clancy
    Global Wireless Summit (VITAE), pp 1-5, Aalborg, Denmark, May 2014.

  14. Decentralized Caching with Secure Delivery

    A. Sengupta, R. Tandon and T.C. Clancy
    IEEE International Symposium on Information Theory (ISIT), pp 41-45, Honolulu, HI, June 29 - July 4 2014.

  15. Fundamental Limits of Caching with Secure Delivery

    A. Sengupta, R. Tandon and T.C. Clancy
    IEEE International Conference on Communications (ICC) - Wireless Physical Layer Security Workshop, pp 771-776, Sydney, Australia, 10-14 June 2014.

  16. An Orthogonal Spectrum Sharing Scheme for Cognitive LTE Networks

    A. Padaki, A. Sengupta, M. Abdelbar, W. H. Tranter, J. H. Reed
    SDR WinnComm, pp 50-59, Chicago, IL, March 2014.

  17. On the performance of redundant residue number system codes assisted STBC design

    A. Sengupta, D. Zhu, B. Natarajan
    IEEE International Conference on Computing, Networking and Communications (ICNC), pp 1051-1055, Maui, HI, 30 January 2012.

Preprints

  1. Fog-Aided Wireless Networks for Content Delivery: Fundamental Latency Trade-Offs

    A. Sengupta, R. Tandon and O. Simeone
    arXiv preprint: 1605.01690, 6 May 2016.

  2. Cache aided wireless networks: Tradeoffs between storage and latency

    A. Sengupta, R. Tandon and O. Simeone
    arXiv preprint: 1512.07856, 24 December 2015. (Extended version of paper presented at CISS 2016)

  3. Fundamental Limits of Caching with Secure Delivery

    A. Sengupta, R. Tandon and T.C. Clancy
    arXiv preprint: 1312.3961, 11 December 2014.

  4. Learning Collaborative Caching Strategies in Small Cell Networks

    A. Sengupta, S. Amuru, R. Tandon, R. M. Buehrer and T. Charles Clancy
    Manuscript under submission, June 2017.

Patent

System And Method For Heterogenous Spectrum Sharing Between Commercial Cellular Operators And Legacy Incumbent Users In Wireless Networks

US Patent 9,516,508 , Issue Date: 6 December 2016
Ashwin Amanna, Joseph Mitola III, T. Charles Clancy, J. H. Reed, R. W. McGweir, A. Sengupta, A. Kumar

Described herein are systems and methods for telecommunications spectrum sharing between multiple heterogeneous users, which leverage a hybrid approach that includes both distributed spectrum sharing, spectrum-sensing, and use of geo-reference databases.

Contact Me

Address: 3600 Juliette Lane, Santa Clara, CA 95054, USA.
E-Mail: aviksg at vt dot edu