deposit_your_work

Low Complexity Iterative Multiuser Detection and Decoding for Real-Time Applications

Files in this item

Files Size Format View
2005_Trans_WC_Das.pdf 177.0Kb application/pdf Thumbnail

Show full item record

Item Metadata

Title: Low Complexity Iterative Multiuser Detection and Decoding for Real-Time Applications
Author: Das, Suman; Erkip, Elza; Cavallaro, Joseph R.; Aazhang, Behnaam
Type: Journal article
Publisher: IEEE
Citation: S. Das, E. Erkip, J. R. Cavallaro and B. Aazhang, "Low Complexity Iterative Multiuser Detection and Decoding for Real-Time Applications," IEEE Transactions on Wireless Communications, vol. 4, no. 4, pp. 1455-1460, 2005.
Abstract: This paper presents a low-complexity multiuser decoding technique that can be implemented in real time for a convolutionally coded direct sequence code division multiple access (DS-CDMA) system. The main contribution, denoted here as the iterative prior update (IPU), consists of iterative interference cancellation and prior updates on sequences of coded bits combined with M-algorithm and list decoding. We illustrate performance gains over other low-complexity sequence detection and decoding strategies and argue that the algorithm converges within a few iterations and requires only a small size buffer for keeping track of the priors along iterations. The fact that the we can use existing available architectures for Viterbi decoding with slight modifications and can meet the real-time processing constraints makes the IPU algorithm an attractive alternative for cellular systems.
Date Published: 2005-07-01

This item appears in the following Collection(s)

  • ECE Publications [1048 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275 items]
    Publications by Rice Faculty and graduate students in multimedia communications