By Topic

Optimal pre-weighting design using pilot sub-carrier cluster in MIMO-OFDM channel application

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

2 Author(s)
John F. An ; National Taiwan Ocean University, Dept. of Communications and Guidance Eng, Radio Communications Research Center, Keelung, 202-24 Taiwan ; Hsiang Fong Wang

Instead of using eigen-beamforming approach to increase capacity gain, an optimal weight scheme is employed in the closed-loop multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (MIMO-OFDM) wireless system design. In particular, this scheme provides an uplink scale weight vector pre-weighting space-time block code (STBC) signals at each transmit sub-carrier in accordance to its space-time constellation, without utilizing the transmit channel state information (TCSI). A Bayes decision rule is adopted to generate the optimum weights using channel statistics measured from pilot sub-carriers cluster per OFDM symbol. Analytical expressions of the signal-to-noise power ratio (SNR) improvement, based on the 2 × 2 MIMO-OFDM system model, are derived and discussed over spatially correlated fading channel. From our Monte Carlo simulations, the proposed scheme outperforms the Alamouti's detection in terms of the bit-error-rate (BER) performance with respect to various OFDM symbol size and pilot interval. The Doppler effect causes the inter-subcarrier-interference (ISI) are also taken into account. Hence, the derived analytical expressions of the SNR improvement are validated.

Published in:

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

Date of Conference:

26-30 Sept. 2010