DocumentCode :
3099095
Title :
Power Control for AP-Based Wireless Networks under the SINR Interference Model: Complexity and Efficient Algorithm Development
Author :
Li, Shuang ; Ekici, Eylem ; Shroff, Ness
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2011
fDate :
July 31 2011-Aug. 4 2011
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, the power control problem is considered for access-point based wireless networks under the SINR interference model. This problem is NP hard in terms of the number of APs in the network, and if not designed properly can have high polynomial complexity in terms of the power levels. We first separate the overall problem into two sub-problems using the primal-dual method. We then develop an efficient algorithm under the SINR-interference model that uses only two power levels to solve a subproblem of the overall power control problem, which we call the utility-independent power control (UIPC) subproblem. This approach allows the optimality gap of the UIPC subproblem to be bounded. Moreover, a two-stage iterative algorithm is developed that solves the overall power control problem within a small neighborhood of the global optimum. This offline algorithm has a significantly lower computational complexity than the globally optimal algorithm. Further, based on the structure of the iterative algorithm, an efficient heuristic two-stage greedy algorithm is proposed with low polynomial time complexity. Finally, numerical results are provided to demonstrate the efficacy of our solution.
Keywords :
computational complexity; iterative methods; power control; radio networks; radiofrequency interference; NP hard; SINR interference model; access point-based wireless networks; globally optimal algorithm; heuristic two-stage greedy algorithm; low polynomial time complexity; offline algorithm; primal-dual method; two-stage iterative algorithm; utility-independent power control subproblem; Complexity theory; Equations; Greedy algorithms; Interference; Power control; Resource management; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks (ICCCN), 2011 Proceedings of 20th International Conference on
Conference_Location :
Maui, HI
ISSN :
1095-2055
Print_ISBN :
978-1-4577-0637-0
Type :
conf
DOI :
10.1109/ICCCN.2011.6005921
Filename :
6005921
Link To Document :
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