@inproceedings{a70470ea450545eeb05596d3a26ffac4,
title = "Bounded block parallel lattice reduction algorithm for MIMO-OFDM and its application in LTE MIMO receiver",
abstract = "Lattice reduction is a promising technique to enhance the performance of sub-optimal MIMO detectors. This paper presents the Bounded Block Parallel Lattice Reduction (BBP-LR) algorithm, which is an implementation friendly low complexity algorithm specifically optimized for practical MIMO-OFDM systems. The optimisation of the BBP-LR algorithm is based on the following: 1) exploiting the frequency coherence inMIMO-OFDM to enable parallel processing that suits SIMD/vector architectures; 2) bounding the execution behaviour to reduce complexity and enable hard real-time task scheduling; 3) performing a frame based preprocessing to significantly reduce complexity. The proposed BBP-LR algorithm has been evaluated in the context of LTE MIMO receivers. When comparing to linear MIMO detectors, the proposed algorithm brings performance improvement at a small complexity increase. Specifically, when compared to ZF, BBP-LR based preprocessing brings an impressive 11dB SNR gain at the cost of only 23% complexity increase.",
keywords = "Lattice reduction, LTE, MIMO",
author = "Ubaid Ahmad and Min Li and Sofie Pollin and Robert Fasthuber and {Van Der Perre}, Liesbet and Francky Catthoor",
year = "2010",
doi = "10.1109/SIPS.2010.5624784",
language = "British English",
isbn = "9781424489336",
series = "IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation",
pages = "168--173",
booktitle = "2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings",
note = "2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 ; Conference date: 06-10-2010 Through 08-10-2010",
}