"Performance optimization in wireless networks is a complex problem due to variability and dynamics in network topology and density, traffic patterns, mutual interference, channel uncertainties, etc. Opportunistic or selfish approaches may result in unbalanced allocation of channel capacity where particular links are overshadowed. This degrades overall network fairness and hinders a multi-hop communication by creating bottlenecks. A desired approach should allocate channel capacity proportionally to traffic priority in a cooperative manner. This work consists of two chapters that address the fairness share problem in wireless ad hoc, peer-to-peer networks and resource allocation within Cognitive Radio network. In the first paper, two fair power control schemes are proposed and mathematically analyzed. The schemes dynamically determine the viable resource allocation for a particular peer-to-peer network. In contrast, the traditional approaches often derive such viable capacity for a class of topologies. Moreover, the previous power control schemes assume that the target capacity allocation, or signal-to-interference ratio (SIR), is known and feasible. This leads to unfairness if the target SIR is not viable. The theoretical and simulation results show that the capacity is equally allocated for each link in the presence of radio channel uncertainties. In the second paper, based on the fair power control schemes, two novel power control schemes and an integrated power control scheme are proposed regarding the resource allocation for Cognitive Radio network to increase the efficiency of the resource while satisfying the Primary Users' Quality of Service. Simulation result and tradeoff discussion are given"--Abstract, page iv.
Zawodniok, Maciej Jan, 1975-
Kosbar, Kurt Louis
Stanley, R. Joe
Electrical and Computer Engineering
M.S. in Electrical Engineering
Missouri University of Science and Technology. Intelligent Maintenance Systems
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Cooperative and fair power control for peer-to-peer wireless network
- Cooperative power control and radio resource allocation for cognitive radio networks
ix, 76 pages
© 2012 Liuju Wu, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Cognitive radio networks
Radio resource management (Wireless communications)
Wireless communication systems
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b9639059~S5
Wu, Liuju, "Cooperative power control approaches towards fair radio resource allocation for wireless network" (2012). Masters Theses. 5301.