Title :
Channel Ranking Based Joint Symbols Detection for MQRD-PCM/MIMO-OFDM
Author_Institution :
Fac. of Inf. Sci., Hiroshima City Univ., Hiroshima
Abstract :
MIMO-OFDM is considered a key technology in emerging high-data rate systems. With MIMO techniques, the transmission quality deteriorates due to co-channel interference (CCI). Several signal detection schemes have been proposed to mitigate this problem. However, it is impractical to use the conventional methods without reducing theirs computational complexity. Previously, we have proposed a parallel detection algorithm using multiple QR decompositions with permuted channel matrix (MQRD-PCM) for MIMO-OFDM to reduce the system complexity. This method achieves a good BER performance with low system complexity. However, since MQRD-PCM is a kind of parallel detection method, the wrong detection probability is increased due to the bad channel SINR of the transmitted signals. As a result, the average BER performance is influenced by the wrong detection probability of the bad channel SINR. To overcome this problem, in this paper, we propose the channel ranking based joint symbols detection for MQRD- PCM/MIMO-OFDM.
Keywords :
MIMO communication; OFDM modulation; cochannel interference; computational complexity; error statistics; signal detection; MIMO-OFDM; MQRD-PCM; bit error rate; channel ranking; cochannel interference; computational complexity; joint symbols detection; multiple QR decompositions; permuted channel matrix; signal detection; wrong detection probability; Bit error rate; Computational complexity; Detection algorithms; Interchannel interference; MIMO; Matrix decomposition; Phase change materials; Radiofrequency interference; Signal detection; Signal to noise ratio;
Conference_Titel :
Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-2308-8
Electronic_ISBN :
978-1-4244-2309-5
DOI :
10.1109/CCNC.2009.4784736