DocumentCode :
2257448
Title :
Maximum-Likelihood Co-Channel Interference cancellation with power control for cellular OFDM networks
Author :
Mohaisen, Manar ; Chang, KyungHi
Author_Institution :
Inha Univ., Incheon
fYear :
2007
fDate :
17-19 Oct. 2007
Firstpage :
198
Lastpage :
202
Abstract :
In cellular orthogonal frequency division multiplexing (OFDM) networks, co-channel interference (CCI) leads to severe degradation in the BER performance. To solve this problem, maximum-likelihood estimation (MLE) CCI cancellation scheme has been proposed in the literature. MLE CCI cancellation scheme generates weighted replicas of the transmitted signals and selects replica with the smallest Euclidean distance from the received signal. When the received power of the desired and interference signals are nearly the same, the BER performance is degraded. In this paper, we propose an improved MLE CCI canceler with closed-loop Power Control (PC) scheme capable of detecting and combating against the equal received power situation at the mobile station (MS) receiver by using the newly introduced parameter power ratio (PR). At cell edge where signal to interferer ratio (SIR) is considered to have average value between -5 and 10 dB, computer simulations show that the proposed closed-loop PC scheme has a gain of 7 dB at 28 km/h and about 2 dB at 120 km/h.
Keywords :
OFDM modulation; cellular radio; closed loop systems; cochannel interference; error statistics; maximum likelihood estimation; power control; BER performance; Euclidean distance; bit error rate; cellular OFDM network; closed-loop power control; cochannel interference; maximum-likelihood estimation; mobile station receiver; orthogonal frequency division multiplexing; Bit error rate; Cellular networks; Degradation; Interchannel interference; Interference cancellation; Maximum likelihood detection; Maximum likelihood estimation; OFDM; Power control; Radiofrequency interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies, 2007. ISCIT '07. International Symposium on
Conference_Location :
Sydney,. NSW
Print_ISBN :
978-1-4244-0976-1
Electronic_ISBN :
978-1-4244-0977-8
Type :
conf
DOI :
10.1109/ISCIT.2007.4392012
Filename :
4392012
Link To Document :
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