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GfcLLL: A Greedy Selection Based Approach for Fixed-Complexity LLL Reduction

Abstract

A greedy selection based approach GfcLLL for fixed-complexity LLL reductions (FCLLL) is proposed. Two greedy selection strategies are presented. Simulations show that each of the two strategies gives Babai points with lower bit error rate in a more or less equal or much shorter CPU time than existing FCLLL algorithms.

Dates and versions

hal-01403926 , version 1 (28-11-2016)

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Jinming Wen, Xiao-Wen Chang. GfcLLL: A Greedy Selection Based Approach for Fixed-Complexity LLL Reduction. 2016. ⟨hal-01403926⟩
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