By Topic

Adaptive resource allocation for multiuser MIMO/OFDM networks based on partial channel state information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
R. Chemaly ; Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China ; K. B. Letaief ; D. Zeghlache

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

Published in:

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.  (Volume:6 )

Date of Conference:

2-2 Dec. 2005