Purdue University Graduate School
blissm_dissertation_document.pdf (7.95 MB)


Download (7.95 MB)
posted on 2023-10-12, 17:35 authored by Matthew A BlissMatthew A Bliss

The advancement of terrestrial networks has improved communication services for users in densely-populated areas, outpacing improvements in rural regions. The projected surge in connected devices in upcoming networks entails that the lack of rural and remote connectivity is limiting emerging applications like digital agriculture and intelligent transportation. Thus, expanding rural and remote wireless connectivity requires addressing the limitations of existing terrestrial infrastructure. In this work, we explore two emerging solutions aimed at enhancing wireless connectivity in rural and remote regions. The first approach considers non-terrestrial networks as an alternative to existing terrestrial technology. Specifically, a vertically-integrated, multi-layered architecture involving unmanned aerial vehicles, high-altitude platforms, and satellites serves as complementary elements, offering diverse pathloss, delay, data rates, and network backbone proximity. We address issues such as multi-hop performance degradation, node mobility, placement, and power distribution to optimize network design. The second approach focuses on wireless-powered communication networks, particularly backscatter communications, to overcome challenges associated with the timely data collection of emerging rural applications such as precision agriculture. We utilize ambient orthogonal frequency division multiplexing (OFDM) signals from cellular base stations to facilitate low-power, low-cost, and real-time data collection while eliminating the need for dedicated radio-frequency emitters. Non-coherent detection and modulation schemes are employed to obviate the necessity for accurate channel state information at the power-limited sensors and reader devices. Moreover, we introduce techniques for simultaneous sensor multiplexing by leveraging OFDM signal structure. Our approaches demonstrate substantial improvements in communication performance, offering versatile, scalable, and cost-effective solutions for rural and remote areas.


CIF: Small: Transcoding: A New Approach For Multi-hop Communications

Directorate for Computer & Information Science & Engineering

Find out more...

NSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag)

Directorate for Engineering

Find out more...

CAREER: Adaptive Communications and Trajectory Design for UAV-assisted Wireless Networks: a Multi-Scale Decision Framework

Directorate for Computer & Information Science & Engineering

Find out more...

GOALI: CNS: Medium: Communication-Computation Co-Design for Rural Connectivtiy and Intelligence under Nonuniformity: Modeling, Analysis, and Implementation

Directorate for Computer & Information Science & Engineering

Find out more...

Collaborative Research: NSF-AoF: CNS Core: Small: Towards Scalable and Al-based Solutions for Beyond-5G Radio Access Networks

Directorate for Computer & Information Science & Engineering

Find out more...

ONR Grant N00014-21-1-2472

Air Force Contract No. FA8702-15-D-0001


Degree Type

  • Doctor of Philosophy


  • Electrical and Computer Engineering

Campus location

  • West Lafayette

Advisor/Supervisor/Committee Chair

David J. Love

Additional Committee Member 2

Chih-Chun Wang

Additional Committee Member 3

Christopher G. Brinton

Additional Committee Member 4

James V. Krogmeier

Usage metrics



    Ref. manager