DocumentCode :
2525682
Title :
Performance of Advanced Receiver Employing Interference Rejection Combining to Suppress Inter-Cell Interference in LTE-Advanced Downlink
Author :
Ohwatari, Yusuke ; Miki, Nobuhiko ; Asai, Takahiro ; Abe, Tetsushi ; Taoka, Hidekazu
Author_Institution :
NTT DOCOMO, Inc., Yokosuka, Japan
fYear :
2011
fDate :
5-8 Sept. 2011
Firstpage :
1
Lastpage :
7
Abstract :
The interference rejection combining (IRC) receiver is effective in improving the cell-edge user throughput because it suppresses inter-cell interference. The IRC receiver is typically based on the minimum mean square error (MMSE) criteria, which requires channel estimation and covariance matrix estimation including the inter-cell interference with high accuracy. The paper investigates the gain from the IRC receiver taking into account the estimation of the interference signal, i.e., the covariance matrix, in terms of the downlink user throughput performance in a multi-cell environment. For the estimation of the covariance matrix, two estimation schemes are considered one based on data signals and the other based on the demodulation reference signal (DM-RS). In the evaluation, to assess the actual gains of the two schemes, the inter-cell interference signals from the surrounding 56 cells are actually generated in the same way as the desired signals including reference signals, and the channel propagation from all of the cells is explicitly taken into account considering pathloss, shadowing, and multipath fading. The simulation results when the inter-site distance is 500 m and the numbers of transmitter and receiver antennas are 2 and 2, respectively, show that the IRC receiver employing the covariance matrix comprising the interference and noise component estimation improves the cell-edge user throughput (defined as the 5% value in the cumulative distribution function) by approximately 22% compared to the simplified MMSE receiver that approximates the inter-cell interference as AWGN, while the IRC receiver employing the full covariance matrix estimation degrades the average user throughput due to less accurate channel and covariance matrices.
Keywords :
Long Term Evolution; channel estimation; covariance matrices; fading channels; interference suppression; least mean squares methods; multipath channels; radio receivers; AWGN; LTE-advanced downlink; MMSE; advanced receiver; average user throughput; cell-edge user throughput; channel estimation; channel propagation; covariance matrix estimation; cumulative distribution function; data signals; demodulation reference signal; distance 500 m; downlink user throughput performance; intercell interference signals; intercell interference suppression; interference rejection combining receiver; minimum mean square error criteria; multicell environment; multipath fading; noise component estimation; receiver antennas; reference signals; shadowing; transmitter antennas; Channel estimation; Covariance matrix; Estimation; Interference; Noise; Receivers; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
ISSN :
1090-3038
Print_ISBN :
978-1-4244-8328-0
Type :
conf
DOI :
10.1109/VETECF.2011.6093196
Filename :
6093196
Link To Document :
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