DocumentCode :
1651926
Title :
Enhanced IRC-SIC algorithm with beamforming for MU-MIMO systems
Author :
Sahrab, Ammar Ali ; Marghescu, Ion
Author_Institution :
Electr. Eng., Univ. of Mustansiriyah, Baghdad, Iraq
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
One of the most important benefits of Multiple-Input Multiple-Output (MIMO) systems to multi-user (MU) scenarios seems to consist in achieving high data rate useful for future cellular systems. In order to eliminate interference in MU-MIMO systems, a number of low-complexity interference aware type of receivers were proposed. In this paper an enhanced Interference Rejection Combining (IRC) algorithm and Successive Interference Cancellation (SIC) with possible application for Long Term Evolution (LTE) is developed. The performance of the proposed detection algorithm is compared with the one of other receiver detection algorithms such as: Zero-Forcing (ZF), Minimum Mean Square Error (MMSE) and Maximum Likelihood (ML). Simulation results show that the proposed algorithm can effectively detect Inter-Cell Interference (ICI) and improve the Bit Error Rate (BER) performance making it suitable for LTE downlink receivers.
Keywords :
Long Term Evolution; MIMO communication; array signal processing; multi-access systems; radiofrequency interference; signal detection; bit error rate performance; cellular system; detection algorithm; enhanced IRC-SIC algorithm; intercell interference; interference rejection combining algorithm; long term evolution; multiple input multiple output system; multiuser MIMO system beamforming; successive interference cancellation; Bit error rate; Interference; Long Term Evolution; MIMO; Receivers; Signal to noise ratio; Silicon carbide; Beamforming; IRC; LTE; MU-MIMO; SIC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4673-7487-3
Type :
conf
DOI :
10.1109/ISSCS.2015.7203930
Filename :
7203930
Link To Document :
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