DocumentCode
2769068
Title
Novel Adaptive Codebook-Based Limited Feedback Techniques for Multi-User MIMO-OFDM Systems
Author
Lu, I-Tai ; Chang, Jiang
Author_Institution
Dept. of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, NY, USA
fYear
2010
fDate
16-19 May 2010
Firstpage
1
Lastpage
5
Abstract
To mitigate the sum rate ceiling problems, high-resolution quantization and feedback schemes for the channel state information (CSI) are highly demanded in multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. In this paper, we investigate three adaptive codebook-based limited feedback techniques for MU-MIMO-OFDM broadcast systems. Using the channel covariance and mean respectively, adaptive codebook techniques I and II are extensions of two adaptive codebook techniques proposed for single-user MIMO single-carrier systems. Technique III is a totally novel proposal wherein both channel covariance and mean are exploited in the adaptive codebook construction. Numerical results show that the adaptive codebook approaches have significant sum rate gain compared to the fixed codebook solution and technique III outperforms techniques I and II.
Keywords
MIMO communication; OFDM modulation; adaptive codes; feedback; wireless channels; adaptive codebook-based limited feedback techniques; channel covariance; channel state information; feedback scheme; high-resolution quantization scheme; multiuser MIMO-OFDM system; multiuser multiple-input multiple-output orthogonal frequency division multiplexing systems; single-user MIMO single-carrier systems; sum rate ceiling problem; Broadcasting; Channel state information; MIMO; OFDM; Proposals; Quantization; State feedback; Transmitters; USA Councils; Wireless LAN;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
Conference_Location
Taipei
ISSN
1550-2252
Print_ISBN
978-1-4244-2518-1
Electronic_ISBN
1550-2252
Type
conf
DOI
10.1109/VETECS.2010.5493724
Filename
5493724
Link To Document