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

Content Provider	IEEE Xplore Digital Library
Author	Cagley, R.E. Lai, K.-C. Shynk, J.J.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA (Cagley, R.E.)
Abstract	Maximum likelihood (ML) decision rules, such as that presented by Gutierrez, Lee and Mandyam (see. Proc. IEEE 49th Vehicular Technology Conf., Houston, TX, p.417-21, 1999), can be used for rate determination in an IS-95 system to reduce the complexity of the Viterbi decoder. We extend this previous work by determining whether it is beneficial to use rate determination for the successive interference canceller (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 rare (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 of Frey and Reinhardt (see Proc. IEEE 47th Vehicular Technology Conf., Phoenix, AZ, p.155-159, 1997), but they use the knowledge that there can be repeated bits in the IS-95 downlink.
Starting Page	956
Ending Page	959
File Size	350396
Page Count	4
File Format	PDF
ISBN	0780365143
ISSN	10586393
DOI	10.1109/ACSSC.2000.910655
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Downlink Silicon carbide Base stations Viterbi algorithm Interference cancellation Multiaccess communication Multiple access interference Bit error rate Pulse modulation AWGN
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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