DocumentCode :
72218
Title :
Joint Spectral Efficiency and Power Allocation Optimization in IEEE 802.16m
Author :
Omar, Tamer R. ; Chang, J. Morris
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume :
14
Issue :
7
fYear :
2015
fDate :
July 1 2015
Firstpage :
1422
Lastpage :
1432
Abstract :
With today´s limited bandwidth, high data rate services, and energy efficiency requirements, maximizing the spectral efficiency and minimizing the consumed power becomes essential. Investigating the issues impeding spectral efficiency maximization and consumed power minimization for mobile systems is crucial for solving this contemporary problem. This paper aims to optimize the utilization of the scarce mobile spectrum and the amount of power consumption in the multi-cell IEEE 802.16m networks. A return on investment model adopting a utility optimization technique is proposed; the model objective is to increase the revenue of the mobile service providers by maximizing the normalized spectral efficiency and decrease the operational cost by minimizing the power consumed in the network. Based on this model, we propose two phases scheme (distributed and centralized) to solve the joint spectral and power optimization problem. The problem is solved to identify the optimal distributed resources assignment and the central down-link frequency partition configuration that achieves the model objective. Simulation results show that the optimal solution significantly improves the system power consumption while maintaining the normalized spectral efficiency, yet with high computational complexity. Accordingly, an effective suboptimal solution utilizing a polynomial-time heuristic is proposed for practical implementations.
Keywords :
WiMax; cellular radio; computational complexity; optimisation; power consumption; central down-link frequency partition configuration; centralized scheme; computational complexity; data rate service; distributed scheme; energy efficiency requirement; joint spectral efficiency-power allocation optimization; mobile service providers; mobile systems; multicell IEEE 802.16m networks; normalized spectral efficiency maximization; operational cost minimization; optimal distributed resource assignment; polynomial-time heuristic; power consumption minimization; return-on-investment model; scarce mobile spectrum; system power consumption; two-phase scheme; utility optimization technique; Bandwidth; Frequency control; Interference; Mobile communication; Mobile computing; Resource management; WiMAX; IEEE 802.16m; normalized spectral efficiency; radio resource management; resource metric;
fLanguage :
English
Journal_Title :
Mobile Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1233
Type :
jour
DOI :
10.1109/TMC.2014.2357809
Filename :
6899686
Link To Document :
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