DocumentCode :
395406
Title :
Space-time equalization and interference cancellation with convolutional coding for MIMO OFDM
Author :
Breinholt, Mark B. ; Zoltowski, Michael D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
4
fYear :
2003
fDate :
6-10 April 2003
Abstract :
Future broadband cellular wireless communication systems will be characterized by high delay spread and the need to maximize the system capacity. Aggressive frequency reuse, one technique of maximizing capacity, subjects the mobile to high levels of interference when the mobile is near the cell edge. Traditional interference suppression techniques designed for synchronized OFDM systems do not perform optimally when the desired and interfering signals are asynchronous at the receiver. Methods of time aligning asynchronous signals (i.e., signals whose channel plus delay is longer than the cyclic prefix length) were recently presented (Breinholt, M. et al., Allerton, 2002). This paper presents results of the synchronization algorithms for coded systems. The results show that the algorithms give significantly different results when coding is applied.
Keywords :
MIMO systems; OFDM modulation; broadband networks; cellular radio; convolutional codes; delays; equalisers; error correction codes; interference suppression; optimisation; signal processing; synchronisation; MIMO OFDM; asynchronous signals; broadband cellular communication systems; capacity maximization; convolutional coding; cyclic prefix length; delay spread; error correction coding; frequency domain processing; frequency reuse maximization; interference cancellation; interference suppression; space-time equalization; synchronization algorithms; time domain processing; Broadband communication; Convolution; Convolutional codes; Delay; Frequency synchronization; Interference cancellation; Interference suppression; MIMO; OFDM; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1202667
Filename :
1202667
Link To Document :
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