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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sakzad, A. Harshan, J. Viterbo, E. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of ECSE, Monash Univ., Melbourne, VIC, Australia (Sakzad, A.; Harshan, J.; Viterbo, E.) |
| 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. |
| Starting Page | 13 |
| Ending Page | 17 |
| File Size | 744515 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467346733 |
| e-ISBN | 9781467346757 |
| e-ISBN | 9781467346740 |
| DOI | 10.1109/AusCTW.2013.6510037 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-29 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | linear receivers Lattices Channel estimation Receivers MIMO CLLL algorithm Antennas |
| Content Type | Text |
| Resource Type | Article |
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