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P. Wang and T. Le-Ngoc, “A low complexity generalized sphere decoding approach for underdetermined linear communication systems: performance and complexity evaluation,” IEEE Transactions on Communications, Vol. 57, No. 11, pp. 3376–3388, November 2009.

has been cited by the following article:

• TITLE: Selection of Design Parameters for Generalized Sphere Decoding Algorithms

  AUTHORS: Ping WANG, Tho LE-NGOC

  KEYWORDS: Sphere Decoding (SD), Generalized Sphere Decoding (GSD), Maximum-likelihood (ML), Integer Least-Square (ILS), MIMO, λ-GSD, Multi-User Detection (MUD), CDMA, MC-CDMA

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.2, March 1, 2010

  ABSTRACT: Various efficient generalized sphere decoding (GSD) algorithms have been proposed to approach optimal ML performance for underdetermined linear systems, by transforming the original problem into the full-column-rank one so that standard SD can be fully applied. However, their design parameters are heuristically set based on observation or the possibility of an ill-conditioned transformed matrix can affect their searching efficiency. This paper presents a better transformation to alleviate the ill-conditioned structure and provides a systematic approach to select design parameters for various GSD algorithms in order to high efficiency. Simulation results on the searching performance confirm that the proposed techniques can provide significant improvement.