Thesis
DISTRIBUTED FAIR CHANNEL UTILIZATION IN DYNAMIC SPECTRUM ACCESS NETWORKS
Washington State University
Master of Science (MS), Washington State University
01/2022
DOI:
https://doi.org/10.7273/000004537
Handle:
https://hdl.handle.net/2376/124947
Abstract
With the exponential growth of wireless devices, dynamic spectrum access (DSA) has been considered a promising solution to alleviate spectrum scarcity. The FCC static assignment of frequency channels often results in underutilized bands as the licensed user remain idle for a significant amount of time. Dynamic Spectrum Access allows unlicensed secondary users to opportunistically transmit in licensed channels when the primary user is absent. The un-coordinated competition over resources among secondary users poses various challenges in dynamic spectrum access networks. In this work, we consider a distributed dynamic spectrum access network scheme to address coexistence challenges. We begin by extending a previously defined bio-social inspired behavioral model where SUs have the ability to avoid overcrowded channels by sensing the band occupancy levels. Our extension of the contention-sensing model allows SUs to dynamically determine their probability to switch bands as they become overcrowded. We show that as the systems scales, our proposed behavioral model outperforms the previously defined contention-sensing model with respect to utility. Furthermore, we show that as the system scale, our scheme achieves a fair and robust system where unilateral deviation from the scheme is not beneficial.
Metrics
1 File views/ downloads
34 Record Views
Details
- Title
- DISTRIBUTED FAIR CHANNEL UTILIZATION IN DYNAMIC SPECTRUM ACCESS NETWORKS
- Creators
- Truc Duong
- Contributors
- Anna Wisniewska (Advisor)Xuechen Zhang (Committee Member)Ben McCamish (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 46
- Identifiers
- 99900898136401842
- Language
- English
- Resource Type
- Thesis