Keywords and Phrases
Markov Decision Process; Software-Defined Radio; Wireless
"The objective of this work is to enable dynamic sharing of software-defined radio (SDR) transceivers through the concepts of hardware virtualization and real-time resource management. SDR is a way to build a digital radio that consists of a software back-end for digital signal processing (DSP) and an analog front-end transceiver for waveform generation and reception. This work proposes the use of a virtualization layer to decouple back-end SDR software from front-end transceivers. With this arrangement, front-ends are said to be virtualized, and it becomes possible to share a limited number of front-ends among many SDR back-ends through different multiplexing techniques.
In the first work, the hardware/software infrastructure needed for such a system is explored. An intelligent resource management algorithm is presented that demonstrates a potential increase in the number of supported SDR back-ends. The second work presents an exploration of this system's application to aircraft telemetry systems and the potential improvements to reliability. The work includes a reliability model for virtualized SDR aircraft telemetry systems as well as simulations demonstrating changes in performance as hardware fails. In the final work, an improved resource management algorithm based on Markov decision process (MDP) is proposed. This approach addresses concerns wireless regulatory agencies and standards bodies may raise regarding performance degradation caused by sharing transceivers. The process of sharing transceivers causes service disruptions to occur whenever the instantaneous demand for front-ends exceeds capacity. This MDP approach provides a feasibility test and a guarantee that all SDRs can stay within their respective wireless specifications. The proposed technique guarantees Pareto efficient distribution of resources. To make this approach possible, a connection is established between dynamic transceiver sharing and equivalent interference"--Abstract, page iv.
Zawodniok, Maciej Jan, 1975-
Kosbar, Kurt Louis
Stanley, R. Joe
Nadendla, V. Sriram Siddhardh
Electrical and Computer Engineering
Ph. D. in Computer Engineering
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Transceivers as a resource: Scheduling time and bandwidth in software-defined radio
- Decoupling hardware and software concerns in aircraft telemetry SDR systems
- Optimizing transceiver reuse in a multi-radio software-defined radio platform by Markov decision process
xii, 95 pages
© 2021 Nathan Daniel Price, All rights reserved.
Dissertation - Open Access
Price, Nathan Daniel, "Scheduling based optimization in software defined radio and wireless networks" (2021). Doctoral Dissertations. 2979.