DocumentCode :
2079169
Title :
On complex LLL algorithm for integer forcing linear receivers
Author :
Sakzad, Amin ; Harshan, J. ; Viterbo, Emanuele
Author_Institution :
Dept. of ECSE, Monash Univ., Melbourne, VIC, Australia
fYear :
2013
fDate :
Jan. 29 2013-Feb. 1 2013
Firstpage :
13
Lastpage :
17
Abstract :
Integer-forcing (IF) linear receiver has been recently introduced for multiple-input multiple-output (MIMO) fading channels. The receiver has to compute an integer linear combination of the symbols as a part of the decoding process. In particular, the integer coefficients have to be chosen based on the channel realizations, and the choice of such coefficients is known to determine the receiver performance. The original known solution of finding these integers was based on exhaustive search. A practical algorithm based on HKZ and Minkowski lattice reduction algorithms was also proposed recently. In this paper, we propose a low-complexity method to obtain the integer coefficients for the IF receiver. For the 2 × 2 MIMO channel, we study the effectiveness of the proposed method in terms of the ergodic rate. We also compare the bit error rate (BER) of our approach with that of other linear receivers, and show that the suggested algorithm outperforms the minimum mean square estimator (MMSE) and zero-forcing (ZF) linear receivers, but trades-off error performance for complexity in comparison with the IF receiver based on exhaustive search or on HKZ and Minkowski lattice reduction algorithms.
Keywords :
MIMO communication; decoding; error statistics; fading channels; radio receivers; BER; HKZ and Minkowski lattice reduction algorithm; IF linear receiver; MIMO fading channel; MMSE; ZF linear receiver; bit error rate; channel realization; complex LLL algorithm; decoding process; integer coefficient; integer forcing linear receivers; low-complexity method; minimum mean square estimator; multiple-input multiple-output fading channel; zero-forcing linear receiver; Antennas; Channel estimation; Lattices; MIMO; Receivers; CLLL algorithm; MIMO; linear receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Theory Workshop (AusCTW), 2013 Australian
Conference_Location :
Adelaide, SA
Print_ISBN :
978-1-4673-4673-3
Electronic_ISBN :
978-1-4673-4674-0
Type :
conf
DOI :
10.1109/AusCTW.2013.6510037
Filename :
6510037
Link To Document :
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