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Towards Shared Spectrum Access over Cognitive MIMO Communications
Abstract
Modern advancements in artificial intelligence (AI) based automation for distributed wireless communication systems have resulted in exponential increases in network traffic volumes to support continuous machine-to-machine interactions. Effective management of spectrum resources has become paramount; not only for ensuring fifth generation (5G) requirements for higher data rates and low latency, but also to continue satisfying ever-increased demand in wireless markets. While 5G rollouts have already begun, there is still uncertainty surrounding a way-forward for addressing the unknown challenges of availability, scalability, and reliability for shared multi-user wireless access for both humans and machines in the modern age. As the demand continues to increase, wireless carriers must ensure sufficient access to service the needs of unlicensed users while honoring contractual service level agreements (SLAs) with the licensed users. The scope of this research focuses on machine intelligence concepts in modern network design and cognitive-aware systems that are extensible, flexible, and can react to environmental stimuli to support incremental system optimization. This work shows the efficacy of utilizing stochastic processes and cognitive radio strategies in heterogeneous networks applied to multiple-input multiple-output (MIMO) wireless applications, and aims to accomplish the following objectives: 1) Show adaptive convergence can be realized in dynamic environments past the initial time-bounded response of the network; 2) Understand relationships between queuing theory and stochastic processes for efficient data transmission in a shared spectrum environment that is system-wide and optimized for existing constraints along with changing environmental conditions; 3) Develop hybrid approaches for scenarios where little information about the environment can be sensed in real-time by leveraging stochastic-based algorithms. This research offers an approach to dynamic and flexible spectrum access that is paramount to reliable and trustworthy short-range communications for existing licensed frequency bands. This work showcases methods for efficient use and re-use of the licensed frequency spectrum for increased utilization across heterogeneous network devices and users and has the potential to shape future policies and standards on interoperability between hybrid network solutions for next generation applications.
Subject Area
Computer Engineering|Electrical engineering
Recommended Citation
Duran-Herrmann, Deborah, "Towards Shared Spectrum Access over Cognitive MIMO Communications" (2022). ETD collection for University of Nebraska-Lincoln. AAI29168342.
https://digitalcommons.unl.edu/dissertations/AAI29168342