TY - GEN
T1 - Channel-aware local search (CA-LS) for iterative MIMO detection
AU - Lai, I. Wei
AU - Lee, Chia Han
AU - Ascheid, Gerd
AU - Meyr, Heinrich
AU - Chiueh, Tzi Dar
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - We propose an efficient iterative multiple-input multiple-output (MIMO) detection algorithm based on the local search. Specifically, since the MIMO channel matrix twists the lattice structure of the received symbols, the proposed channel-aware local search (CA-LS) defines its search neighborhood according to the instantaneous channel realization. Such channel-dependent neighborhood can be efficiently identified by using the sphere decoder in a set that comprises the differences between pairs of QAM vectors, which is termed as delta vectors. The delta vectors with small quadratic norms with respect to the channel matrix are identified and then used as the search directions of the CA-LS. Features like sparsity and non-uniformity of delta vectors are exploited to reduce the SD complexity. Furthermore, by reformulating the detection criterion, the log-likelihood ratio (LLR) computations and searches of the CA-LS are greatly simplified. Numerical simulations demonstrate that compared with other practical iterative MIMO detectors, e.g., the list sphere decoder, the CA-LS achieves superior performance in both error rate and complexity aspects.
AB - We propose an efficient iterative multiple-input multiple-output (MIMO) detection algorithm based on the local search. Specifically, since the MIMO channel matrix twists the lattice structure of the received symbols, the proposed channel-aware local search (CA-LS) defines its search neighborhood according to the instantaneous channel realization. Such channel-dependent neighborhood can be efficiently identified by using the sphere decoder in a set that comprises the differences between pairs of QAM vectors, which is termed as delta vectors. The delta vectors with small quadratic norms with respect to the channel matrix are identified and then used as the search directions of the CA-LS. Features like sparsity and non-uniformity of delta vectors are exploited to reduce the SD complexity. Furthermore, by reformulating the detection criterion, the log-likelihood ratio (LLR) computations and searches of the CA-LS are greatly simplified. Numerical simulations demonstrate that compared with other practical iterative MIMO detectors, e.g., the list sphere decoder, the CA-LS achieves superior performance in both error rate and complexity aspects.
UR - http://www.scopus.com/inward/record.url?scp=84958037983&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958037983&partnerID=8YFLogxK
U2 - 10.1109/PIMRC.2015.7343394
DO - 10.1109/PIMRC.2015.7343394
M3 - Conference contribution
AN - SCOPUS:84958037983
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
SP - 731
EP - 736
BT - 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
Y2 - 30 August 2015 through 2 September 2015
ER -