Implementation of MIMO-OFDM using adaptive multiuser detection in wireless communication

Author(s):  
Nazia Parveen ◽  
D.S. Venkateswarlu
2011 ◽  
Vol 367 ◽  
pp. 233-240 ◽  
Author(s):  
T. Eneh ◽  
P. Rapajic ◽  
K. Anang ◽  
Bello Lawal

The combination of MIMO signal processing with OFDM is a solution to achieving high data rates for next generation wireless communication systems operating in frequency selective fading environments. To realize the extension of the MIMO with OFDM, a number of changes are required in the baseband signal processing. The developed adaptive Multiuser Detection in MIMO OFDM(AMUD) scheme performs better compared to non adaptive MIMO OFDM, at low Signal to noise ratio (SNR), it shows good performance in computational complexity, bit error rate (BER) and capacity. Simulation results show that the developed algorithm sum rate capacity is very close to MIMO theoretical upper bound (21.5 bits/s/Hz at signal to noise ratio of 20dB) which strongly indicate it’s applicability to the uplink channel where power transmission at the mobile station is a constraint. The BER performance of the developed scheme shows that, as the number of antenna increases, the 8 x 8 AMUD provides a 2dB gain compared to known non adaptive MIMO OFDMO at low SNR.


2014 ◽  
Vol 556-562 ◽  
pp. 5046-5051
Author(s):  
Zhong Qiu Qiu Wang ◽  
Zhen Wang ◽  
Hong Ru Wang ◽  
Jun Cheng Wang

In order to solve detection of multi-user detection in underwater acoustic communication networks, blind adaptive multiuser detection method using LMS algorithm was proposed to solve the MAI problem of multi-user detection in underwater acoustic communication channel when users increase. Two type simulations were executed, including synchronous and asynchronous multi-user simulation analysis, to verify the validity of LMS multi-user detection algorithm and inspection machine. The verification of the effectiveness of the MMSE and MOE algorithm for LMS multi-user detection algorithm was done by simulation.


1995 ◽  
Vol 41 (4) ◽  
pp. 944-960 ◽  
Author(s):  
M. Honig ◽  
U. Madhow ◽  
S. Verdu

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