DocumentCode
3427427
Title
Multi-User MIMO-OFDM with Adaptive Resource Allocation over Frequency Selective Fading Channel
Author
Tan, Yongbo ; Chang, Qing
Author_Institution
Dept. of Electron. & Inf. Eng., Beihang Univ., Beijing
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
In this paper, a practical and efficient adaptive sub- carrier, power and bit allocation algorithm for multi-user MIMO-OFDM systems is described. Assuming perfect knowledge of the channel state information (CSI) on the transmitter, we explore the problem of minimizing the total transmit power with constant overall bit rate requirement. The scheme proposed here attempts to make the MIMO-OFDM systems more flexible and robust to channel variations. To minimize the total transmit power, we assign each OFDM sub- carrier according to the square of the maximum eigenvalue of the channel frequency response matrix. We also provide a low complexity algorithm based on the greedy algorithm for the adaptive bit and power allocation over the frequency selective fading channel. Computer simulations are conducted to demonstrate the performance of the proposed scheme comparing with some other adaptive schemes in the terms of bit error rate (BER).
Keywords
MIMO communication; OFDM modulation; eigenvalues and eigenfunctions; error statistics; fading channels; greedy algorithms; multiuser channels; radio transmitters; resource allocation; OFDM sub-carrier; adaptive resource allocation; bit allocation algorithm; bit error rate; channel frequency response matrix; channel state information; eigenvalue; frequency selective fading channel; greedy algorithm; multiuser MIMO-OFDM; power allocation algorithm; radio transmitter; Bit error rate; Bit rate; Channel state information; Eigenvalues and eigenfunctions; Fading; OFDM; Radio spectrum management; Resource management; Robustness; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.139
Filename
4678048
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