DocumentCode :
423476
Title :
Utility-based downlink power allocation in multicell wireless packet networks
Author :
Lim, Hyoung-Kyu ; Choi, Jin-Ghoo ; Bahk, Saewoong
Author_Institution :
Samsung Electron. Co. Ltd., Suwon, South Korea
Volume :
5
fYear :
2004
fDate :
29 Nov.-3 Dec. 2004
Firstpage :
3321
Abstract :
We introduce a utility-based radio resource management technique for multicell wireless packet networks. Assuming each base station operates to maximize its own cell utility, we try to maximize the system utility which is defined as the sum of each cell utility. By using the downlink transmit power of each base station as a control variable, we formulate a problem of system utility maximization. However, the problem is intractable because it contains non-convex functions, and, accordingly, the complexity is too high. Therefore, we first analyze a simple two-cell problem and take an intuitive approach to find its optimal solution. We extend this intuition to a general multi-cell problem and devise a simple heuristic algorithm that requires a light overhead of signaling between neighboring base stations. Through simulations, we compare, in terms of utility gain, our proposed heuristic algorithm with two competing schemes, optimal power allocation and maximum power allocation. As expected, the optimal allocation scheme shows the best performance but cannot be applied to real multi-cell problems due to its intractable complexity. Our proposed heuristic algorithm has very low complexity and its performance lies between the optimal allocation and maximum allocation schemes.
Keywords :
3G mobile communication; cellular radio; computational complexity; data communication; optimisation; packet radio networks; telecommunication network management; telecommunication signalling; IMT-2000; complexity; data-only cellular networks; downlink power allocation; heuristic algorithm; maximum power allocation; multicell wireless packet networks; nonconvex functions; optimal power allocation; system utility maximization; utility-based radio resource management technique; Base stations; Communication system traffic control; Computer science; Control systems; Downlink; Heuristic algorithms; Intelligent networks; Land mobile radio cellular systems; Power system modeling; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
Type :
conf
DOI :
10.1109/GLOCOM.2004.1378964
Filename :
1378964
Link To Document :
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