DocumentCode
2584820
Title
Margin adaptive resource allocation with long-term rate fairness considered in downlink OFDMA systems
Author
Hou, Liming ; Lin, Xiaokang
Author_Institution
Dept. of Electron. & Eng., Tsinghua Univ., Beijing, China
fYear
2009
fDate
18-23 May 2009
Firstpage
1919
Lastpage
1923
Abstract
In this paper, a suboptimal resource allocation algorithm is proposed with considered the long-term fairness in the downlink of the multiuser OFDM systems. The intention of this work is to minimize the total transmission power under the constraint of the target system data rate. After formulating the optimization problem, the subcarrier allocation algorithm, considered long-term rate fairness, is proposed with a water-filling bit assignment method. In order to guarantee the long-term fairness, the average date rate is introduced to weight the allocating factor in the process of the subcarrier allocation. Furthermore, the water-filling factor is also derived by a novel method in bit assignment procedure. In a conclusion, compared with the convention short term fairness algorithm, the proposed scheme not only guarantees the long term fairness, but also saves the power consumption obviously. The simulation results have shown the advanced performance of the proposed algorithm.
Keywords
OFDM modulation; Rayleigh channels; frequency division multiple access; minimisation; multiuser channels; resource allocation; Rayleigh fading channel; downlink OFDMA system; long-term rate fairness; margin adaptive resource allocation; multiuser OFDM system; optimization problem; subcarrier allocation algorithm; total transmission power minimization; water-filling bit assignment method; Bit error rate; Data communication; Downlink; Educational institutions; Energy consumption; Frequency conversion; OFDM; Optimization methods; Quality of service; Resource management; OFDMA; dynamical resource allocation; long-term fairness; water-filling rate allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROCON 2009, EUROCON '09. IEEE
Conference_Location
St.-Petersburg
Print_ISBN
978-1-4244-3860-0
Electronic_ISBN
978-1-4244-3861-7
Type
conf
DOI
10.1109/EURCON.2009.5167909
Filename
5167909
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