NDLI: Improving the throughput of DS-CDMA systems using adaptive rate transmissions based on variable spreading factors

Content Provider	IEEE Xplore Digital Library
Author	Lie-Liang Yang Hanzo, L.
Copyright Year	2002
Description	Author affiliation: Dept. of Electron. & Comput. Sci., Southampton Univ., UK (Lie-Liang Yang; Hanzo, L.)
Abstract	In this contribution adaptive rate transmissions are investigated in the context of DS-CDMA systems using variable spreading factors (VSF). In contrast to conventional adaptive rate transmission schemes, where the transmission rate is usually adapted in response to the channel fading, in this contribution the transmission rate is adapted in response to the multiuser interference (MUI) level. We present the philosophy of the proposed adaptive rate transmission scheme and analyze the effective throughput as well as the resultant bit error rate (BER) performance, when communicating over additive white Gaussian noise (AWGN) channels. Our study shows that when the number of active users in a DS-CDMA system can be modelled with the aid of a Markov chain and when the conventional matched filter based receiver is employed, the VSF-assisted adaptive rate transmission scheme is capable of substantially increasing the system's effective throughput. Specifically, our results show that the effective throughput may be increased by up to 40%, when compared to that of DS-CDMA systems using constant spreading factors. This increased throughput is achieved without wasting power, without imposing extra interference upon other users and without increasing the BER.
Starting Page	1816
Ending Page	1820
File Size	279859
Page Count	5
File Format	PDF
ISBN	0780374673
ISSN	10903038
DOI	10.1109/VETECF.2002.1040530
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Throughput Multiaccess communication Adaptive systems Bit error rate Interference AWGN Fading Performance analysis Additive white noise Matched filters
Content Type	Text
Resource Type	Article

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