DocumentCode :
2325328
Title :
CTH01-3: A Low-complexity Adaptive Subcarrier, Bit, and Power Allocation Algorithm for OFDMA Systems
Author :
Gao, Long ; Cui, Shuguang ; Li, Feifei
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tuczon, AZ
fYear :
2006
fDate :
Nov. 27 2006-Dec. 1 2006
Firstpage :
1
Lastpage :
6
Abstract :
Adaptive subcarrier, bit, and power allocation schemes for orthogonal frequency division multiple access (OFDMA) systems are considered. A low-complexity algorithm is proposed to minimize the overall transmit power under certain fairness constraints: Data rate and bit-error-rate (BER) requirements for each user. In the proposed algorithm, subcarrier allocation is first executed, which follows two steps: An initial subcarrier allocation to satisfy the individual data rate requirement; then a residual subcarrier allocation to further reduce the overall transmit power. After that, a single-user optimal bit and power allocation is performed for each user based on the water-filling strategy. The proposed heuristic subcarrier allocation algorithm has linear complexity in the number of users and subcarriers, as opposed to the combinatorial nature of the optimal solutions. More importantly, the proposed resource allocation scheme explores frequency diversity in a more efficient way compared with reference schemes of similar complexity, which makes it more preferable in highly frequency-selective fading channels.
Keywords :
OFDM modulation; computational complexity; diversity reception; error statistics; fading channels; frequency division multiple access; resource allocation; OFDMA systems; bit error rate; data rate; frequency diversity; frequency-selective fading channels; low-complexity adaptive subcarrier-bit-power allocation algorithm; resource allocation scheme; water-filling strategy; Bit error rate; Fading; Frequency conversion; Heuristic algorithms; Intersymbol interference; Iterative algorithms; OFDM; Power system modeling; Streaming media; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location :
San Francisco, CA
ISSN :
1930-529X
Print_ISBN :
1-4244-0356-1
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2006.38
Filename :
4150668
Link To Document :
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