Title
Hybrid heuristic-waterfilling game theory approach in MC-CDMA resource allocation
Abstract
Abstract: This paper discusses the power allocation with fixed rate constraint problem in multi-carrier code division multiple access (MC-CDMA) networks, that has been solved through game theoretic perspective by the use of an iterative water-filling algorithm (IWFA). The problem is analyzed under various interference density configurations, and its reliability is studied in terms of solution existence and uniqueness. Moreover, numerical results reveal the approach shortcoming, thus a new method combining swarm intelligence and IWFA is proposed to make practicable the use of game theoretic approaches in realistic MC-CDMA systems scenarios. The contribution of this paper is twofold: (i) provide a complete analysis for the existence and uniqueness of the game solution, from simple to more realist and complex interference scenarios; (ii) propose a hybrid power allocation optimization method combining swarm intelligence, game theory and IWFA. To corroborate the effectiveness of the proposed method, an outage probability analysis in realistic interference scenarios, and a complexity comparison with the classical IWFA are presented.
Year
DOI
Venue
2012
10.1016/j.asoc.2011.05.028
Appl. Soft Comput.
Keywords
Field
DocType
realistic interference scenario,game theoretic approach,qos,game theory,classical iwfa,hybrid heuristic-waterfilling game theory,iterative water-filling algorithm,game solution,game theoretic perspective,siso multi-rate mc-cdma,complex interference scenario,mc-cdma resource allocation,swarm intelligence,new method,power-rate allocation control
Uniqueness,Heuristic,Mathematical optimization,Swarm intelligence,Hybrid power,Resource allocation,Interference (wave propagation),Game theory,Code division multiple access,Mathematics
Journal
Volume
Issue
ISSN
12
7
Applied Soft Computing Journal
Citations 
PageRank 
References 
5
0.45
6
Authors
6