Vijay K. Shah




Research Assistant Professor
Wireless@Virginia Tech
Bradley Dept. of Electrical and Computer Engineering
Virginia Tech, Blacksburg, VA, USA

437 Durham Hall
1145 Perry Street, Blacksburg, VA, USA, 24061
Phone: +1 (573) 578-4238
Email: vijays@vt.edu
Wireless@Virginia Tech
Virginia Tech
Commonwealth Cyber Initiative


Vijay is currently a Research Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, USA and is affiliated with Wireless@Virginia Tech - one of the largest and most comprehensive academic wireless research group in the United States. He is also a faculty member of Commonwealth Cyber Initiative (CCI), a Virginia state-wide initiative to foster 5G wireless, autonomous systems, data and cybersecurity research. He received his B. Tech degree in Computer Science and Engineering from National Institute of Technology, Durgapur India and Ph.D. degree from University of Kentucky, Lexington USA in 2013 and 2019 respectively. He is a native of Nepal.

My key research areas include:

  • Machine Learning and Artificial Intelligence (AI) for Wireless Networks
  • Wireless Cellular and 6G Networks
  • Open Radio Access Network (O-RAN) architecture
  • Multi-band Dynamic Spectrum Sharing
  • UAV Communications and Networking
  • mmWave Communications and Beamforming
  • Internet of Things (IoT)
  • Information Freshness and Age of Information (AoI)
  • Vehicle-to-Everything (V2X) Networks
  • Cybersecurity
  • Networked Music Collaboration


Update: I will be joining as an Assistant Professor in the Department of Cybersecurity Engineering (CYSE) at George Mason University (GMU), starting July 1, 2021.
I will be looking out for multiple graduate students and postdocs in the broad research areas of AI/ML, Cybersecurity and 5G/6G Networks, to join my research group at GMU. Please reach out with your CV if interested.


I am co-chairing ACM 6G-ABS 2021 - First Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities with 6G, co-located with ACM MobiCom 2021. Do consider submitting your best work.

RECENT NEWS

  • April, 2021 [Paper Acceptance] Our paper "Exploring Biological Robustness for Reliable Multi-UAV Networks" has been accepted to IEEE Transactions on Network Service and Management Special Issue on Design and Management of Reliable Communication Networks.
  • April, 2021 [Paper Acceptance] Our paper "3D Placement and Orientation of mmWave-based UAVs for Guaranteed LoS Coverage" has been accepted to IEEE Wireless Communications Letters.
  • April, 2021 [Paper Acceptance] Our paper "Power Systems Performance under 5G Radio Access Network in a Co-Simulation Environment" has been accepted to 30th International Symposium on Industrial Electronics (ISIE 2021).
  • April, 2021 [TPC] TPC member of IEEE REFRESH 2021 . (co-located with IEEE DCOSS 2021).
  • April, 2021 [TPC] TPC member of IEEE WiMob 2021 .
  • April, 2021 [Paper Acceptance] Our paper "Adaptive Semi-Persistent Scheduling for Enhanced On-Road Safety in Decentralized V2X Networks" has been accepted to IFIP Networking 2021.
  • March, 2021 [Service] Co-chairing ACM 6G-ABS 2021 - 1st ACM Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities with 6G, co-located with ACM MobiCom 2021.
  • March, 2021 [TPC] TPC member of IEEE Wi-DroIT 2021 (co-located with IEEE DCOSS 2021).
  • March, 2021 [TPC] TPC member of IEEE WPSN 2021 (co-located with IEEE DCOSS 2021).
  • Feb, 2021 [Seminar] Invited Seminar Talk at Indian Institute of Technology (IIT), BHU, India. Talk title - "Artificial Intelligence meets 5G Networks"
  • Feb, 2021 [Service] Publicity chair for ACM ICDCN 2022.
  • Jan, 2021 [GRANT] "5G++: Adapting 5G for Tactical mmWave Networks" has been awarded by ARO under Phase II.
    PIs/Co-PIs: Laura Freeman (PI, Hume@VT), Jeff Reed (Co-PI, Wireless@VT), and Vijay K Shah (Co-PI, Wireless@VT) in collaboration with Intelligent Automation Inc. (IAI)
  • Dec, 2020 [GRANT] "O-RAN Compliant User Driven Resource Management System for Next-generation Mobile and C-V2X Communications" has been awarded by Commonwealth Cyber Initiative (CCI) under Cybersecurity Research Collaboration.
    PIs/Co-PIs: Vijay K. Shah (PI, Wireless@VT), Ying Wang (Co-PI, Virginia Tech Research Center), and Bo Yu (George Mason University)
  • Dec, 2020 [GRANT] "C3-5GPG: Cybersecure Communications and Control for 5G-enabled Power Grid" has been awarded by Commonwealth Cyber Initiative (CCI) under Cybersecurity Research Collaboration.
    PIs/Co-PIs: Ali Mehrizi-Sani (PI, Power and Energy Center, Virginia Tech), Vijay K. Shah (Co-PI, Wireless@Virginia Tech), and Duminda Wijesekera (Co-PI, George Mason University)
  • Dec, 2020 [GRANT] "5GEM: 5G MEC-Enhanced C-V2X for Intersection Management" has been awarded by Commonwealth Cyber Initiative (CCI) under Cybersecurity Research Collaboration.
    PIs/Co-PIs: Duminda Wijesekera (PI, George Mason University), Vijay K. Shah (Co-PI, Wireless@Virginia Tech), and Jeff Reed (Co-PI, Wireless@Virginia Tech)
  • Dec, 2020 style="color:#8B0000;">[Paper Acceptance] Our paper "Joint Age of Information and Self Risk Assessment for Safer 802.11p based V2V Networks" has been accepted to IEEE INFOCOM 2021. Congratulations Biplav!
  • Dec, 2020 [Paper Acceptance] Our paper "Designing Efficient Communication Infrastructure in Post-disaster Situations with Limited Availability of Network Resources", has been accepted to Computer Communications (ComCom). Congratulations Krishnandu!
  • Nov, 2020 [GRANT] "Exploring AI and 5G Capabilities for Enabling Online, Real-time Networked Music Collaboration" has been awarded by Commonwealth Cyber Initiative (CCI) under CCI Art and Design Collaboration Program.
    PIs/Co-PIs: Tanner Upthegrove (PI, Institute of Creativity, Arts, and Technology at Virginia Tech) and Vijay K. Shah (Co-PI, Wireless@VT)
  • Oct, 2020 [GRANT] "Tools and Research Priority Analyses for Development of Open-Source AI-Enabled Control and Testing Framework for 6G Cellular Research" has been awarded by NSF CCRI Planning Grant.
    PI/Co-PIs: Jeff Reed (PI, Wireless@VT), Vijay K Shah (Co-PI, Wireless@VT), Nishith Tripathi (Co-PI, Samsung Research) in collaboration with Vuk Marojevic (PI, MSU) and Bo Tang (Co-PI, MSU)
  • Sept, 2020 [Seminar] Invited Seminar Talk at Missouri University of Science and Technology Rolla. Talk title - "The Freshness of Information: Age of Information and V2X Networks"
  • Aug, 2020 [Paper Acceptance] Our paper "Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks" has been accepted to IEEE GLOBECOM 2020. Congratulations Pratheek!
  • [Review Editor] Review Editor of Smart Grid Communications (Frontiers in Communications and Networks)
  • [TPC] TPC member of ACM EmeRTeS 2021
  • [TPC] TPC member of IEEE COMSNETS 2021
  • [GRANT] "SWIFT: Southwest Wireless Information Freshness for power grid Technologies" has been awarded by Commonwealth Cyber Initiative (CCI) under Southwest Virginia (SWVA) Collaboration Grant.
    PIs: Ali Mehrizi-Sani (PI, Power and Energy Center at Virginia Tech) and Vijay K. Shah (Co-PI, Wireless@VT)
  • [GRANT] "Scalable Intelligent RAN System for Next-generation Mobile Networks" has been awarded by Commonwealth Cyber Initiative (CCI) under Southwest Virginia (SWVA) Research Grant.
    PIs: Ying Wang (PI, Virginia Tech Research Center - Arlington) and Vijay K. Shah (Co-PI, Wireless@VT)
  • [GRANT] "Novel Schemes for Ensuring Trustworthiness and Reliability of Crowd-sourced Frequency Occupancy Data in Spectrum Sharing Systems" has been awarded by Commonwealth Cyber Initiative (CCI) under Southwest Virginia (SWVA) Research Grant.
    PIs: Carl B. Dietrich (PI, Wireless@VT) and Vijay K. Shah (Co-PI, Wireless@VT)
  • [TPC] TPC member of IEEE SMARTCOMP 2020
  • [Paper Acceptance] Our paper "Experimental Analysis of Safety Application Reliability in V2V Networks" has been accepted to IEEE VTC 2020-Spring.Congratulations Biplav!
  • [TPC] TPC member of ACM WearSys 2020
  • [TPC] TPC member of IEEE WPSN 2020
  • [TPC] TPC member of IEEE Wi-DRoIT 2020
  • [Paper Acceptance] Our paper "A Diverse Band-aware Dynamic Spectrum Access Network Architecture for Delay-Tolerant Smart City Applications" has been accepted to IEEE Transactions on Network Service and Management (TNSM) 2020.
  • [TPC] TPC member of IEEE COMSNETS 2020
  • [TPC] TPC member of ACM EmeRTeS 2020 (Co-located with ACM ICDCN 2020)
  • [Paper Acceptance] Our paper "Bio-DRN: Robust and Energy-efficient Bio-inspired Disaster Response Networks" has been accepted to IEEE Mobile Ad-Hoc and Smart Systems (MASS) 2019.
  • [Organizing co-chair] Organizing co-chair of ACM SoCIeTY 2020
  • [TPC] TPC member of ACM AIMS 2020
  • [Dissertation] PhD Dissertation Successfully Defended (May, 2019)!
  • [Travel Grant] Awarded NSF Student Travel Grant to attend IEEE SECON 2019.
  • [Award] Awarded Outstanding Computer Science Graduate (PhD) Student Award for Year 2019 by the College of Engineering, University of Kentucky, Lexington, USA.
  • [Seminar] Presented our work "Towards d-DSA Communications for Smart Communities" at Institute of Software Integrated Systems at Vanderbilt University, Nashville, USA.
  • [Paper Acceptance] Paper "Design of Robust and Efficient Topology using Enhanced Gene Regulatory Networks" has been accepted to IEEE TMBMC 2019.
  • [Seminar] Presented our work on post-disaster communications at ACM ICDCN 2019 and IEEE COMSNETS 2019 Banglore, India.
  • [Paper Acceptance] Paper "QnQ: Quality and Quantity based Unified Approach for Secure and Trustworthy Mobile Crowdsensing" has been accepted to IEEE Transactions on Mobile Computing (TMC) 2018
  • [Paper Acceptance] Paper "X-CHANT: A Diverse DSA based Network Architecture for Next-generation Challenged Networks" has been accepted to IEEE INFOCOM 2019
  • [Travel Grant] Awarded Travel Grant Award to attend IEEE COMSNETS 2019
  • [Paper Acceptance] Paper " Towards Energy-efficient and Robust Disaster Response Networks" has been accepted to ACM EmeRTeS@ICDCN 2019
  • [Award] Brian, a research undergraduate working with me, won the best poster award at the Kentucky Academy of Science under "Computer and Information Science" category. Congratulations Brian!
  • [Award] Won the best poster award at the Annual Commonwealth Computational Summit (CCS2) 2018, along with Dr. Atieh Khamesi. And, we are on UKY CS news. Yay!
  • [Paper Acceptance] Paper "An Effective Dynamic Spectrum Access based Network Architecture for Smart Cities" has been accepted to IEEE Smart Cities Conference (ISC2), 2018
  • [Paper Acceptance] Paper "Designing Sustainable Smart and Connected Communication via Novel Diverse Band-aware DSA" has been accepted to ACM BuildSys, 2019 .Extended paper accepted to ACM Transactions on Sensor Networks (TOSN) 2018

PUBLICATIONS

Peer-reviewed Journals

[9] Tarun Cousik, Vijay K. Shah , Tugba Erpek, Yalin Sagduyu and Jeffrey H. Reed, Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks , IEEE Transactions on Network Science and Engineering (IEEE TNSE ) Special Issue on AI-Driven 6G Mobile Wireless Networks: Key Enabling Theories, Architectures, Protocols and Techniques (Under review). Preprint availabe on [arXiv].

[8]   Krishnandu Hazra, Vijay K. Shah, Satyaki Roy, Swaraj Deep, Sujoy Saha and Subrata Nandi, Exploring Biological Robustness for Reliable Multi-UAV Networks , IEEE Transactions on Network Service and Management ( IEEE TNSM ) Special Issue on Design and Management of Reliable Communication Networks. (To appear).

[7]   Javad Sabzehali, Vijay K. Shah, Harpreet Dhillon, and Jeffrey H. Reed, 3D Placement and Orientation of mmWave-based UAVs for Guaranteed LoS Coverage , IEEE Wireless Communications Letters (To appear).

[6]   Krishnandu Hazra, Vijay K. Shah, Simone Silvestri, Vaneet Aggarwal, and Sajal K. Das, Subrata Nandi and Sujoy Saha Designing Efficient Communication Infrastructure in Post-disaster Situations with Limited Availability of Network Resources, Computer Communications , Vol. 164, pages 54-68, 2020. .

[5]   Vijay K. Shah, Brian Luciano, Shameek Bhattacharjee, Simone Silvestri, and Sajal K. Das, A Diverse Band-aware Dynamic Spectrum Access Network Architecture for Delay-Tolerant Smart City Applications, IEEE Transactions on Network Service and Management (IEEE TNSM), Vol. 17, No. 2, 2020. .

[4]   Vijay K. Shah, Shameek Bhattacharjee, Simone Silvestri, and Sajal K. Das, Designing Green Communication Systems for Smart and Connected Communities via Dynamic Spectrum Access, ACM Transactions on Sensor Networks (ACM TOSN), Vol. 14, Issue 3-4, 2018.

[3]   Shameek Bhattacharjee, Nirnay Ghosh, Vijay K. Shah, and Sajal K. Das, QnQ: Quality and Quantity based Unified Approach for Secure and Trustworthy Mobile Crowdsensing, IEEE Transactions on Mobile Computing (IEEE TMC), Vol. 19, No. 1, 2018.

[2]   Satyaki Roy, Vijay K. Shah, and Sajal K. Das, Design of Robust and Efficient Topology using Enhanced Gene Regulatory Networks, IEEE Transactions on Molecular, Biological and Multi-Scale Communications (IEEE TMBMC), Vol. 4, Issue 2, 2018.

[1]   Sujoy Saha, Subrata Nandi, Partha S. Paul, Vijay K. Shah , Akash Roy, and Sajal K. Das, Designing delay constrained hybrid ad hoc network infrastructure for post-disaster communication Ad Hoc Networks, Vol. 25, 2015.



Peer-reviewed Conference Papers

[17] Rahul Iyer, Biplav Choudhury, Vijay K. Shah and Ali Mehrizi-Sani, Power Systems Performance under 5G Radio Access Network in a Co-Simulation Environment , The 30th International Conference on Industrial Electronics ( ISIE 2021) (Accepted).

[16] Avik Dayal, Vijay K. Shah , Biplav Choudhury, Vuk Marojevic, Carl Dietrich, and Jeffrey H. Reed, Adaptive Semi-Persistent Scheduling for Enhanced On-Road Safety in Decentralized V2X Networks , IFIP Networking 2021 (Accepted). Preprint available on [arXiv].

[15]   Biplav Choudhury, Vijay K. Shah, Avik Dayal, Jeffrey H. Reed, Joint Age of Information and Self Risk Assessment of 802.11p based V2V Networks, IEEE Conference on Computer Communications (IEEE INFOCOM), 2021. Preprint available on [arXiv].

[14]   Pratheek S. Upadhyaya, Vijay K. Shah , and Jeffrey H. Reed, Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks, IEEE Global Communications Conference (IEEE GLOBECOM), 2020. Preprint available on [arXiv].

[13]   Biplav Choudhury, Vijay K. Shah , Avik Dayal, Jeffrey H. Reed, Experimental Analysis of Safety Application Reliability in V2V Networks, IEEE Vehicular Technology Conference (IEEE VTC) Recent Results, 2020. DOI: 10.1109/VTC2020-Spring48590.2020.9129400

[12]   Vijay K. Shah , Satyaki Roy, Simone Silvestri, and Sajal K. Das, Bio-DRN: Robust and Energy-efficient Bio-inspired Disaster Response Networks, IEEE Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), 2019. DOI: 10.1109/MASS.2019.00046

[11]   Vijay K. Shah , Simone Silvestri, Brian Luciano and Sajal K. Das, X-CHANT: A Diverse DSA based Network Architecture for Next-generation Challenged Networks, IEEE International Conference on Computer Communications (IEEE INFOCOM), 2019. DOI: 10.1109/INFOCOM.2019.8737426

[10]   Krishnandu Hazra, Vijay K. Shah , Mohd. Bilal, Simone Silvestri, Sajal K. Das, Subrata Nandi, and Sujoy Saha, A Novel Network Architecture for Resource-Constrained Post-Disaster Environments, IEEE International Conference on Communication Systems and Networks (IEEE COMSNETS), 2019. DOI: 10.1109/COMSNETS.2019.8711166

[9]   Vijay K. Shah , Satyaki Roy, Simone Silvestri, and Sajal K. Das, Towards Energy-efficient and Robust Disaster Response Networks, ACM International Conference on Distributed Computing and Networking (ACM ICDCN), 2019. DOI: https://doi.org/10.1145/3288599.3295589

[8]   Vijay K. Shah, Simone Silvestri, Shameek Bhattacharjee, and Sajal K. Das, An Effective Dynamic Spectrum Access based Network Architecture for Smart Cities, IEEE International Smart Cities Conference (IEEE ISC2), 2018. DOI: 10.1109/ISC2.2018.8656954 (Invited paper)

[7]   Vijay K. Shah, Shameek Bhattacharjee, Simone Silvestri, and Sajal K. Das, Designing Sustainable Smart Connected Communities using Dynamic Spectrum Access via Band Selection , ACM Conference on Systems for Energy-Efficient Built Environments (ACM BuildSys), 2017. DOI: https://doi.org/10.1145/3137133.3137153

[6]   Vijay K. Shah, Satyaki Roy, Simone Silvestri, and Sajal K. Das, CTR: A Cluster based Topological Routing for Disaster Response Network, IEEE International Conference on Communications (IEEE ICC), 2017. DOI: 10.1109/ICC.2017.7996327

[5]   Shameek Bhattacharjee, Nirnay Ghosh, Vijay K. Shah, and Sajal K. Das, QnQ: A Reputation Model to Secure Mobile Crowdsourcing Applications from Incentive Losses, IEEE International Conference on Communications and Network Security (IEEE CNS), 2017. DOI: 10.1109/CNS.2017.8228635

[4]   Shameek Bhattacharjee, Nirnay Ghosh, Vijay K. Shah, and Sajal K. Das, W2Q: A Dual Weighted QoI Scoring Mechanism in Social Sensing using Community Confidence, IEEE International Conference on Pervasive Computing and Communications Workshops (IEEE PerCom Workshops), 2017. DOI: 10.1109/PERCOMW.2017.7917591

[3]   Satyaki Roy, Vijay K. Shah, and Sajal K Das, Characterization of E. coli Gene Regulatory Network and its Topological Enhancement by Edge Rewiring, EAI International Conference on Bio-inspired Information and Communications Technologies (EAI BICT), 2015. DOI: https://doi.org/10.4108/eai.3-12-2015.2262418

[2]   Sujoy Saha, Vijay K. Shah, Rohit Verma, Ratna Mandal, and Subrata Nandi, Is It Worth Taking A Planned Approach To Design Ad Hoc Infrastructure For Post Disaster Communication?, ACM MobiCom Workshop on Challenged Networks (ACM CHANTS) co-located with ACM MobiCom, 2012. DOI: https://doi.org/10.1145/2348616.2348637

[1]   Sushovan Patra, Sujoy Saha, Vijay K. Shah, Satadal Sengupta, Konsam Gojendra Singh, and Subrata Nandi, A Qualitative Survey on Multicast Routing in Delay Tolerant Networks, Springer Recent Trends in Wireless and Mobile Networks (WiMO), 2011.

RESEARCH

My research interests are in the areas of wireless communications and networks - with a specialization in 5G/next-G cellular systems and AI for wireless communications - with applications to Internet of Things (IoT) systems, vehicle-to-everything (V2X) networks, unmanned aerial vehicles, smart power grids, networked music collaboration, and cyber-physical systems. My research draws upon tools from machine learning, optimization, statistics, algorithm design, graph theory, control and economics to design and build wireless networks and cyber-physical systems.

Current Funded Projects

AI-enabled Control and Testing Framework for 6G Cellular Research


Role : Co-PI
Funding Agency : NSF CCRI Planning Grant
Collaborators : Jeff Reed (Wireless@VT), Nishith Tripathi (Samsung), Vuk Marojevic (MSU), and Bo Tang (MSU)

5G wireless is known for a revolution in flexibility in wireless networks. Beyond 5G and 6G will likely be known for using intelligence to capitalize on flexibility. Wireless research activities have made use of artificial intelligence (AI) in various areas, but practical implementations of AI-based algorithms in wireless networks are relatively rare. This project aims to analyze the suitability of research priorities, toolboxes, and interfaces for the development of an experimental AI-enabled 6G and testing framework to spur US and global research. The goal of this research effort is to analyze and lay out the design and architectural foundations of a software infrastructure that would spur experimental research, development and education on 6G wireless networks.

5G++: Millimeter Waveforms for Tactical Networks

Role : Co-PI
Funding Agency : Intelligent Automation Inc.
Collaborators : Laura Freeman (HUME@VT) and Jeff Reed (Wireless@VT)

The proliferation of 5G networking at the millimeter wavelength spectra opens new opportunities in the modernization of tactical communication systems. Commercial 5G systems are not expected to fully satisfy the tactical network's requirements on resiliency to jamming, enhanced Low Probability of Interception/Low Probability of Detection (LPI/LPD), privacy and authentication. This project aims to address the aforementioned challenges and develop novel 5G++ system architecture by developing novel millimeter wave beamforming algorithms, 5G NR waveforms and methods to modify 5G protocol stack to support MAC and routing operations suitable for tactical networks. The developed algorithms will improve the jamming resistance, LPI/LPD, and security of 5G waveform. In a recent work, we developed DeepIA, a deep learning framework to reduce the beam sweep time by measuring RSS from only a subset of all available beams and mapping them to the best selection from the entire set of beams. Since, DeepIA decreases the temporal and spatial footprint of the signal in the open environment, it will reduce the interference from/to other ongoing transmissions (such as in spectrum sharing scenarios) as well as probablity of detection/intercept. Furthermore, it could potentially improve the resiliency against out-network interference and jamming. This work is under revision in IEEE TNSE, and the preliminary work can be found on ( arXiv).

Information Freshness for Smart Grid Systems


Role : Co-PI
Funding Agency : Commonwealth Cyber Initiative Southwest Virginia Collaboration Fund
Collaborator : Ali Mehrizi-Sani (Power and Energy Center, Virginia Tech)

As a cyber-physical system, the modern smart grid system, produces large volumes of data by phasor measurement units (PMU), smart inverters utilized for renewables, and a network of about 65 million meters constituting an advanced metering infrastructure (AMI). These data are collected via an expansive communication network. Availability of data and communication offers significant flexibility for the system operation, planning, and remote control, e.g., among intelligent electronic devices (IED), remote terminal units (RTU), and supervisory control and data acquisition (SCADA) systems; simultaneously, the electric power grid's growing dependency on information and communication technology (ICT) significantly increases its vulnerability to network unavailability. Therefore, ensuring timely delivery of data is central to guaranteeing performance of control, optimization, and supervisory systems. In this project, we explore the new concept of information freshness - a measure of age (and hence, relevance and confidence) of the measurement information the control system is acting on. Specifically, we build capacity and design experiments to enable study of the impact of AoI within the context of 5G communication networks on the smart grid communications.

Scalable Intelligent RAN System for Next-generation Mobile Networks


Role : Co-PI
Funding Agency : Commonwealth Cyber Initiative Southwest Virginia Research Fund
Collaborator : Ying Wang (Lead RF Engineer, CCI, Virginia Tech)

The future generation mobile network is expected to support various types of services such as eMBB (enhanced Mobile Broadband), mMTC (massive Machine Type Communications), and URLLC (Ultra-Reliable and Low Latency Communications) and beyond, while at the same time fulfilling different QoS/QoE requirements. These requirements will be determined between the network operator and end-users with specifications of key performance indicators (KPIs), such as throughput, latency, connectivity, etc. As a service-based architecture, network slicing enables a diverse range of services to be accommodated in the same physical radio access network (RAN). To satisfy service requirements, the key is the placement of distributed RAN resources (e.g, spectrum, computation, memory resources etc.) that support dynamic customization of each slice. In this project, we envision to architect a RAN-level intelligent system that dynamically predicts network progression and conducts network design strategies and auto-deployment within the network periodically through temporal data mining of the RAN behaviors. The proposed method observes the behavior of the network, translates the policy restrictions of service agreement, spectrum, and physical resources, and applies deep learning to optimize allocations of various RAN resources promptly. Comparing earlier network generations have been designed as general-purpose connectivity platforms with limited differentiation capabilities across use cases, 5G (and Next-G) intends to create an ecosystem for technical and business innovation involving vertical markets such as automotive, energy, healthcare, etc. Through abstracting the features of each scenario, our system adapts to meet the requirements from different fields and markets in an efficient way.

Novel Schemes for Ensuring Trustworthiness and Reliability of Crowd-sourced Frequency Occupancy Data in Spectrum Sharing Systems


Role: Co-PI
Funding Agency : Commonwealth Cyber Initiative Southwest Virginia Research Fund
Collaborator : Carl B. Dietrich (Wireless@Virginia Tech)

The overarching goal of this research project is to design and evaluate coordinated spectrum sharing approaches for the vehicular communication networks. This is important because the user capacity and data rates supported by currently allocated frequencies in the 5.9 GHz band for vehicular communications may not be sufficient, and additional frequency bands may need to be utilized via coordinated spectrum sharing. Specifically, we plan to develop and assess secure and reliable novel schemes to enhance spectrum sharing by exploiting crowd-sourced spectrum occupancy information. These approaches will consider both the trustworthiness of the users who provide this information and the accuracy with which they are able to measure spectrum occupancy.

Other Ongoing Projects

Diverse Band-aware Dynamic Spectrum Access (d-DSA) Networks

Sharing radio spectrum with new users can create millions of US jobs and promote US technological leadership. Robust and efficient spectrum sharing enables intelligent transportation systems, unmanned aeronautical systems, tele-health, high-definition holographic videos, massive Internet of things, as well as new infrastructure technologies such as 5G/Post-G wireless. According to the FCC, this can yield billions of dollars in societal benefits. However, current and proposed spectrum sharing approaches of isolated management of sharing radio spectrum, a limited resource, are too fragmented and limits the potential for efficient sharing with multiple types of primary users as new bands are shared. To address this, we propose a novel holistic diverse band-aware Dynamic Spectrum Access (d-DSA) approach, which equips a wireless device (secondary user) with software defined radios (SDRs) and utilize unoccupied channels (called whitespaces) in multiple spectrum bands, including originally licensed for other services on the condition of non-interference to primary license holders. Since d-DSA networks consider "diverse spectrum bands", unlike classical (single-band) DSA networks, it requires a fundamental rethinking in the way we design networking solutions (across all the layers) for such d-DSA networks. So far, we have designed novel cross-layer band selection and routing strategies, network protocols, and optimization techniques, which are based on a variety of tools such as reinforcement learning, graph theory, integer linear programming, dynamic programming, and algorithm design. Preliminary results appeared in IEEE GLOBECOM 2020, IEEE INFOCOM 2019, IEEE TNSM 2019, ACM TOSN 2018, and ACM BuildSys 2017.

Towards Safer Vehicle-to-Everything (V2X) Communications

V2X Communications is envisioned as one of the key enablers for Intelligent Transportation Systems (ITS), mainly due to its potential of improving on-road safety in tomorrow's smart cities. The two major standards for V2X communications are the IEEE 802.11p based Dedicated Short Range Communications (DSRC) and LTE-based Cellular V2X (C-V2X). DSRC uses 802.11p to establish a decentralized network where every vehicle transmits at fixed time intervals, usually 100 ms. C-V2X, on the other hand, was developed in the Release 14 of 3GPP and is a cellular technology with the additional capability of using sidelink interface PC5 for direct V2X communications. 3GPP has standardized two modes of operation -- mode 3 (centralized) and mode 4 (decentralized) C-V2X. Newer versions of both DSRC and C-V2X are being developed, respectively called as 802.11bd and NR-V2X. Both IEEE DSRC and Mod-3/Mod-4 C-V2X rely on periodic Basic Safety Messages (BSMs) to disseminate time-sensitive safety-critical information, such as, vehicle position, speed, and heading -- that enables several safety applications, such as, cooperative collision warning (CCW) and electronic emergency brake light (EEBL). However, due to mobility, lack of global knowledge and limited communication resources, designing an optimal BSM broadcast rate control protocol in case of DSRC (and optimal scheduling protocol in C-V2X) is a challenging problem. To address these issues in DSRC based V2V networks, we proposed designing decentralized BSM rate control and scheduling protocols, mainly based on new Age of Information (AoI) metric. Preliminary results from this research appeared in IEEE VTC 2020 and IEEE INFOCOM 2021 (to appear).

Towards Resiliency of Multi-UAV assisted IoT Networks

Due to the advantages of high flexibility, mobility and autonomy, Unmanned Aerial Vehicles (UAVs) has been recognized as one of the key enablers of 5G Internet of Things (IoT) vision. Different from the other 5G applications, IoT devices are usually energy-constrained, and they may be scattered over a large area for environmental monitoring, intelligent transportation systems (ITS) or other use cases, and may be at various distances away from the remote controllers or edge servers. UAVs can function as aerial base stations (BSs) and deliver an efficient, cost-effective, and on-demand wireless communications for such emerging IoT applications. Depending upon the number, location, and distance of IoT devices from the remote controllers, multiple UAVs as aerial base stations may form a connected wireless communication network, termed, Multi-UAV networks, to provision wireless communication services to emerging 5G IoT applications. However, in order to enable this, the formed multi-UAV network must guarantee an end-to-end connectivity among themselves, such that a certain IoT device can communicate with a distant remote server. This is challenging as one or more UAVs may leave the network or fail during the time of operation -- due to hardware/software faults, unreliable wireless links, jamming, malicious attacks or resource-constrained features, such as, limited transmission power, and flight time. In this work, we propose several machine learning approaches, low complexity algorithms, and optimization techniques to address the reliability of multi-UAV assisted IoT networks. One preliminary work is currently under revision in IEEE TNSM SI on Design and Management of Reliable Communication Networks.

Biological Networks

The innate resilience of biological organisms have long inspired the design of robust systems. Gene regulatory network (GRN) is one such biological network, formed as a result of protein interactions between genes and transcription factors. Such a GRN possesses a gamut of topological properties that contribute to its robustness, such as, scale-free degree distribution, preferential attachment, small-world property, clustering etc. In this research, we study these topological properties of GRNs of two unicellular organisms, i.e., E. Coli and Yeast, with an objective of designing robust and efficient topology for communication networks, like wireless sensor networks (WSNs) and IoT networks. Moreover, this collaborative research led to an interesting ``out-of-box" idea of utilizing biological networks as a model to design energy-efficient yet robust disaster response network topology. The results from this research project has appeared in IEEE TMBMC 2018, ACM ICDCN 2019, EAI BICT 2016, and IEEE MASS 2019.

Past Projects

Post-disaster Communications

Following a large-scale disaster, such as earthquakes and storms, the primary telecommunication infrastructures, such as cellular towers and other public infrastructures, such as power sources, etc., are partially or completely damaged. Such breakdown of telecommunication infrastructures and power outage restrict the central controlling authority, termed coordination center (CC), from acquiring timely situational awareness about human casualties, road and building damages, supply chain of goods and services, relief materials requirements, etc., and gathering required logistics for recovery efforts. This results in an asynchronously coordinated rescue/relief and recovery operation efforts and ad-hoc decision making by the CC, which may worsen the human lives' and economic loss. To address this, we proposed to design prompt, reliable and energy-efficient communication systems, including network architectures, routing protocols, and resource allocation strategies, for prompt rescue and recovery operations in post-disaster situations, like earthquakes and hurricanes. Towards this effort, I worked with Mobile Computing and Network Research Group (MCNRG) at NIT Durgapur, India, in order to validate the proposed architectures and protocols through real large-scale deployments in disaster prone region, Sundarbans, India. The small-scale pilot deployment over a week-time period in Sundarbans showed promising results for our proposed solution approaches. The results from this research has appeared in several networking venues, such as, ComCom 2020, IEEE COMSNETS 2019, IEEE ICC 2017, Ad-Hoc Networks 2015, and ACM CHANTS 2012.

Trust and Reputations Models for Participatory Sensing

Sophistication in mobile devices (e.g., smartphones) and their widespread adoption have given rise to a novel inter-active sensing paradigm, known as Participatory Sensing (PS). Due to the concept of "gamification", several selfish behaviors are possible, while the potential civilian impact of a security breach may motivate malicious intent. Wrong perception or noisy measurements further affect the reliability, dependability and trustworthiness of user's data and services. In this project, we developed novel risk tolerance and reputation aware trust models for PS applications to address reliability, dependability, and trustworthiness of user's data and services; by using behavioral theoretic approaches (such as, prospect theory under risk and uncertainty) and decision theory (e.g., Expected Utility Theory). Results have appeared in IEEE TMC 2018, IEEE CNS 2017 and IEEE PerCom Workshop 2017.

SELECTED HONORS AND AWARDS

2019
Tau Beta Pi College of Engineering "2019 Outstanding Computer Science Ph.D. Student " Award.
2016 - 2019
Five ACM/IEEE Student Travel Grant Awards
  • IEEE SECON 2019
  • IEEE COMSNETS 2019
  • ACM BuildSys 2017
  • ACM WiSec 2017
  • IEEE PerCom 2016
2018
Recipient of best poster award at Second Annual Commonwealth Computational Summit (CCS2) 2018 at University of Kentucky. (Two posters get selected for top position.)
2017
Recipient of best poster award at First Annual Commonwealth Computational Summit (CCS2) 2017 at University of Kentucky. (Two posters get selected for top position.)
2017
Recipient of second best poster award at Annual Computer Science Student (Ph.D. Category) Research Poster Competition (CSSRPC) organized by Computer Science Department at Missouri S&T, Rolla, USA
2017
Recipient of Direct Admission of Students Abroad (DASA) Scholarship 2009 - 13 for admission to undergraduate engineering programs in NITs/IIITs, sponsored by the Government of India.
2017
Recipient of Mahatma Gandhi Scholarship 2006 - 07 sponsored by Indian Embassy at Kathmandu, Nepal for pursuing Higher Secondary Education (10+2 Science).

STUDENTS

Current Students

  • Student co-advising (with Prof. Jeff Reed)
    • Biplav Choudhury , Ph.D. Student at Virginia Tech
    • Javad SabzehAli, Ph.D. Student at Virginia Tech
    • Darshan A. Ravi, M.S. Student at Virginia Tech
    • Pratheek Upadhyaya, M.S. Student at Virginia Tech
  • Student mentoring
    • Avik Dayal, Ph.D. Student at Virginia Tech
    • Tarun C. Cousik, Ph.D. Student at Virginia Tech
    • Taiwo Oyedare , Ph.D. Student at Virginia Tech
    • Krishnandu Hazra, Ph.D. Student at NIT Durgapur, India
    • Shashank Thakalapally, M.S. Student at Virginia Tech
    • Kunal Gusain, M. Engr. Student at Virginia Tech

Past Students

  • Student Mentoring
    • Brian Luciano, Undergraduate Student at University at Kentucky. Currently at Cisco Corp.
    • Tej Patel, Undergraduate Student at University of Kentucky. Currently at AillianceBernstein.
    • Rishabh Patel, Undergraduate Student at IIT Guwahati, India. Currently at JP Morgans.
    • Parker Jones, Undergraduate Student at Missouri S&T, Rolla. Currently COO at Ellem Inc.

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