DocumentCode :
3057873
Title :
Adaptive resource allocation for multiuser MIMO/OFDM networks based on partial channel state information
Author :
Chemaly, Ralph ; Letaief, Khaled B. ; Zeghlache, Djamal
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon
Volume :
6
fYear :
2005
fDate :
2-2 Dec. 2005
Lastpage :
3926
Abstract :
MIMO/OFDM has recently been the subject of much interest because of its potential for meeting the stringent requirements of the next-generation broadband wireless communication systems. In this paper, a multiuser resource allocation and management approach which combines adaptive sub-carrier allocation as well as a power and bit distribution based on partial channel state information is proposed to significantly improve the performance of a multiuser MIMO/OFDM system. It is shown that the proposed methodology, which relies on the combination of beamforming and orthogonal space-time block coding, guarantees all the users with a quality of service required for a minimum targeted BER. It can also optimize the power efficiency as well as the sub-carriers allocation in order to maximize the data rate while ensuring fairness among all the users. In particular, it is shown that by taken advantage of the channel side information obtained through both, mean and covariance feedback, the proposed methodology exhibits resistance to the Doppler effects due to correlated channel variations while achieving good system performance
Keywords :
MIMO systems; OFDM modulation; block codes; error statistics; feedback; mobility management (mobile radio); quality of service; resource allocation; space-time codes; wireless channels; BER; Doppler effects; adaptive resource allocation; adaptive subcarrier allocation; correlated channel; covariance feedback; mean feedback; multiuser MIMO-OFDM networks; next-generation broadband wireless communication systems; orthogonal space-time block coding; partial channel state information; power efficiency; quality of service; resource management approach; Array signal processing; Block codes; Broadband communication; Channel state information; Energy management; MIMO; OFDM; Power system management; Resource management; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-7803-9414-3
Type :
conf
DOI :
10.1109/GLOCOM.2005.1578505
Filename :
1578505
Link To Document :
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