DocumentCode :
2942114
Title :
Resource Allocation for Multiclass Services in Multiuser OFDM Systems
Author :
Jae Soong Lee ; Jae Young Lee ; Soobin Lee ; Hwang Soo Lee ; Young Serk Shim
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon
fYear :
2008
fDate :
10-12 Jan. 2008
Firstpage :
907
Lastpage :
911
Abstract :
Although each application service has its own quality of service (QoS) requirements, the resource allocation for multiclass services has not been studied mainly in multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, we investigate the resource allocation in an effort to satisfy the QoS of multiclass services. A power minimization problem is examined for the various data rates and bit-error rate (BER) traffic. Lagrangian relaxation and a subcarrier timesharing factor are used to find an optimal solution. We propose an iterative algorithm to find optimal power consumption and a low complex suboptimal algorithm for practical implementation. The main contribution of this paper is that we apply the optimal solution obtained from the power minimization problem into the proposed algorithms. We execute extensive simulations under various multiclass service scenarios. These scenarios provide a more complete assessment of the proposed algorithms. Simulations results show that the proposed algorithms significantly outperform in total transmit power consumption compared to existing resource allocation algorithms.
Keywords :
OFDM modulation; error statistics; fading channels; iterative methods; minimisation; multi-access systems; quality of service; resource allocation; telecommunication traffic; variable rate codes; Lagrangian relaxation; QoS requirement; bit-error rate traffic; iterative algorithm; multiclass service; multiuser OFDM system; orthogonal frequency division multiplexing system; power minimization problem; quality of service; resource allocation; subcarrier timesharing factor; Bit error rate; Delay; Energy consumption; Iterative algorithms; Lagrangian functions; Minimization methods; OFDM; Partitioning algorithms; Quality of service; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1456-7
Electronic_ISBN :
978-1-4244-1457-4
Type :
conf
DOI :
10.1109/ccnc08.2007.211
Filename :
4446509
Link To Document :
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