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A Computationally Efficient Schnorr-Euchner Enumeration for Solving Integer Least-Squares Problem in Wireless Communications
Junil AHN Jaewon CHANG Chiho LEE
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E100-A
No.1
pp.327-331 Publication Date: 2017/01/01 Online ISSN: 1745-1337
DOI: 10.1587/transfun.E100.A.327 Type of Manuscript: LETTER Category: Communication Theory and Signals Keyword: Schnorr-Euchner enumeration, integer least-squares problem, sphere decoding, finite lattice,
Full Text: PDF>>
Summary:
The integer least-squares (ILS) problem frequently arises in wireless communication systems. Sphere decoding (SD) is a systematic search scheme for solving ILS problem. The enumeration of candidates is a key part of SD for selecting a lattice point, which will be searched by the algorithm. Herein, the authors present a computationally efficient Schnorr-Euchner enumeration (SEE) algorithm to solve the constrained ILS problems, where the solution is limited into the finite integer lattice. To trace only valid lattice points within the underlying finite lattice, the authors devise an adaptive computation of the enumeration step and counting the valid points enumerated. In contrast to previous SEE methods based on a zig-zag manner, the proposed method completely avoids enumerating invalid points outside the finite lattice, and it further reduces real arithmetic and logical operations.
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