Decision-feedback closest lattice point search for UMTS HSPA system

Byonghyo Shim, Farrokh Abrishamkar, Insung Kang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This letter considers a low-complexity multiuser detection based on the closest lattice point search (CLPS) for high speed packet access (HSPA) system. Instead of attempting to solve the ML detection problem in the presence of intersymbol and inter-cell interference, we utilize interference cancelled chips obtained from a bidirectional decision feedback operation to detect symbols. As a result, the worst case complexity of the CLPS is bounded to a controllable level irrespective of multipath spans. From the simulation on single and multi cell downlink communications in HSPA systems, we show that the proposed method offers substantial performance gain over conventional RAKE and MMSE equalizer.

Original languageEnglish
Pages (from-to)1035-1038
Number of pages4
JournalIEEE Signal Processing Letters
Volume16
Issue number12
DOIs
Publication statusPublished - 2009

Bibliographical note

Funding Information:
Manuscript received March 30, 2009; revised July 15, 2009. First published July 31, 2009; current version published September 02, 2009. This work was supported by a research grant from Qualcomm, Inc. and by KOSEF R01-2008-000-20292-0. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Tan F. Wong. B. Shim is with the School of Information and Communication, Korea University, Seoul 136-713, Korea (e-mail: [email protected]). F. Abrishamkar and I. Kang are with Qualcomm, Inc., San Diego, CA 92121 USA (e-mail: [email protected]; [email protected]). Color versions of one or more figures in this paper are available at http:// ieeexplore.ieee.org. Digital Object Identifier 10.1109/LSP.2009.2028949

Keywords

  • Closest lattice point search
  • High speed packet access
  • Interference cancellation
  • Multiuser detection
  • Sphere decoding

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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