Electrical and Computer Engineering ETDs

Publication Date

Fall 10-30-2023


In this thesis, the challenge of dynamic spectrum management is treated following an economic-based perspective. In particular, a novel bioinspired spectrum allocation from the Network Service Providers (NSPs) to the users is introduced, exploiting the theory of symbiosis under the free competition. The overall objective is to determine the NSPs optimal bandwidth prices to maximize their profit, while satisfying the users bandwidth needs. The aforementioned spectrum management framework is analyzed while exploiting a novel 3D network architecture consisting of High Altitude Platforms (HAPs), Unmanned Aerial Vehicles (UAVs), and ground gNBs NSPs, each one of them presenting different operational characteristics and capabilities in terms of coverage. Specifically, various NSPs owning the ground gNBs, UAVs, HAPs, respectively, engage in a symbiotic relationship with the users, by offering licensed and unlicensed spectrum bands and receiving payment from them in return. The Nash equilibrium is determined for the free market modeling, where the optimal unlicensed bandwidth slices’ prices for each NSP are derived. The performance evaluation of the proposed approach is achieved via modeling and simulation.


Dynamic Spectrum Management, 3D Network, Network Economics

Document Type




Degree Name

Computer Engineering

Level of Degree


Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Dr. Eirini Eleni Tsiropoulou

Second Committee Member

Dr. Jim Plusquellic

Third Committee Member

Dr. Aris Leivadeas