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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cong Ling Wai Ho Mow |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China (Wai Ho Mow) || Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom (Cong Ling) |
| Abstract | In this paper, we present a unified view of the role of sorting in lattice reduction. In particular, we show that V-BLAST sorting is a relative of the LLL algorithm. More precisely, we discover that if a lattice basis is sorted in the sense closely related to V-BLAST and is size-reduced, then it is reduced in the sense of LLL with deep insertion (LLL-deep). This discovery leads to two useful consequences. One consequence is a parallel version of LLL-deep that iteratively applying sorting and size reduction; we show that a hybrid strategy applying parallel LLL-deep at the early stage can improve the speed of LLL-deep. The other is a fixed-complexity algorithm of LLL, which consists of a few iterations of sorting and size reduction. This fixed-complexity structure is much desirable in hardware implementation that circumvents the variable complexity of standard LLL, and its throughput is only limited by that of V-BLAST when implemented in a pipeline structure. |
| Starting Page | 529 |
| Ending Page | 533 |
| File Size | 173292 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424449828 |
| DOI | 10.1109/ITW.2009.5351253 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-11 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Conferences Pipelines Lattices Educational institutions Throughput Iterative algorithms Hardware Matrix decomposition Sorting Information theory |
| Content Type | Text |
| Resource Type | Article |
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