DocumentCode
1964072
Title
Practical implications of continuity properties of resource allocation strategies in wireless systems
Author
Naik, Siddharth ; Boche, Holger
Author_Institution
Heinrich Hertz Inst., Tech. Univ. of Berlin, Berlin, Germany
fYear
2009
fDate
23-27 June 2009
Firstpage
1
Lastpage
7
Abstract
We utilize axiomatic bargaining theory to depict certain implications of continuity properties of resource allocation strategies in wireless systems. Feasible utility sets are characterized as sub-level sets of interference functions. The collective choice function is used to represent resource allocation strategies. We use an axiomatic framework to emulate certain desirable properties of resource allocation strategies. We focus on the axiom of feasible set continuity, to emulate robustness of the resource allocation strategy to channel estimation and prediction errors. The connection between the axiom of feasible set continuity, lower semi-continuity and upper semi-continuity is elucidated. We investigate continuity properties, which allow a resource allocation strategy to be a strict monotone path collective choice function (MPCCF). We provide a result, which displays the practical importance of the axiom of feasible set continuity to develop bounds on the uncertainty region, resulting from channel estimation and prediction errors. We provide examples to show that the strict MPCCF is a useful tool to characterize solution outcomes of resource allocation strategies, e.g. egalitarian solution and dictatorial solution.
Keywords
channel estimation; resource allocation; set theory; wireless channels; MPCCF; axiomatic bargaining theory; channel estimation; collective choice function; error prediction; feasible set continuity; interference function; lower semicontinuity; resource allocation strategy; upper semicontinuity; utility set; wireless system; Algorithm design and analysis; Channel estimation; Design optimization; Displays; Estimation error; Interference; Pareto optimization; Resource management; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009. 7th International Symposium on
Conference_Location
Seoul
Print_ISBN
978-1-4244-4919-4
Electronic_ISBN
978-1-4244-4920-0
Type
conf
DOI
10.1109/WIOPT.2009.5291587
Filename
5291587
Link To Document