DocumentCode :
3504543
Title :
Mitigating interference with integer-forcing architectures
Author :
Zhan, Jiening ; Erez, Uri ; Gastpar, Michael ; Nazer, Bobak
Author_Institution :
EECS Dept., Univ. of California, Berkeley, CA, USA
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
1673
Lastpage :
1677
Abstract :
We show that the recently proposed integer-forcing linear receiver provides an attractive approach to the problem of mitigating external interference in MIMO channels. The integer-forcing receiver proceeds by first decoding a set of full rank integer linear combinations of the data streams. The resulting full rank equations are then inverted to find the original data. By selecting equation coefficients in a direction that depends on both the interference space and the channel matrix, the impact of external interference can be effectively reduced. We show that this technique attains a non-trivial gain over traditional linear receivers. Furthermore, the integer-forcing linear receiver achieves the same generalized degrees of freedom for the M×M MIMO channel with K dimensional external interference as the joint decoder.
Keywords :
MIMO communication; decoding; interference suppression; linear codes; radio receivers; radiofrequency interference; wireless channels; K dimensional external interference mitigation; MIMO channel; channel matrix; data stream; equation coefficient; full rank equation; full rank integer linear combination; integer-forcing linear receiver; joint decoder; Decoding; Decorrelation; Equations; Interference; MIMO; Receivers; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
ISSN :
2157-8095
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2011.6033830
Filename :
6033830
Link To Document :
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