Performance of ML rate determination for an IS-95 downlink SIC receiver

R. E. Cagley, K. C. Lai, J. J. Shynk

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Maximum likelihood (ML) decision rules, such as that presented in [3], can be used for rate determination in an IS-95 system to reduce the complexity of the Viterbi decoder. In this paper, we extend this previous work by determining whether it is beneficial to use rate determination for the successive interference canceler (SIC) in an IS-95 downlink receiver. Assuming certain conditions are met regarding the signal-to-noise ratio (SNR) and the number of received symbols used for rate determination, employing knowledge of bit repetition can decrease the bit error rate (BER) for the corresponding Walsh channels. To further increase the effectiveness of interference cancellation, soft decision decoding can be used instead of a conventional hard decision device. The devices considered here are similar to those in [1], but they use the knowledge that there can be repeated bits in the IS-95 downlink.

Original languageEnglish
Pages (from-to)956-959
Number of pages4
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
Publication statusPublished - 2000 Dec 1
Event34th Asilomar Conference - Pacific Grove, CA, United States
Duration: 2000 Oct 292000 Nov 1

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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