Block spreading for MUI/ISI-resilient generalized multi-carrier CDMA with multirate capabilities
- 7 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1477-1481
- https://doi.org/10.1109/icc.2000.853742
Abstract
The potential increase in capacity along with the need to provide multimedia services and cope with multiuser interference (MUI) and intersymbol interference (ISI) arising due to wireless multipath propagation, motivate well multirate wideband code-division multiple-access (CDMA) systems. This paper develops an all-digital block-spread filterbank framework capable of encompassing single- or multi-rate transceivers for asynchronous or quasi-synchronous CDMA transmissions through multipath channels. Thanks to symbol blocking and through appropriate design of user codes, the resulting generalized multi-carrier (GMC) CDMA system guarantees symbol recovery irrespective of the (possibly unknown) FIR multipath channels in both downlink and uplink setups with low complexity FIR receivers. Simulations corroborate that the novel GMC-CDMA system outperforms existing multirate alternatives in the presence of asynchronism and multipathKeywords
This publication has 6 references indexed in Scilit:
- Linear FIR multiuser detection for multiple data rate CDMA systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multi-rate schemes in DS/CDMA systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Comparison of maximum-likelihood-based detection for two multirate access schemes for CDMA signalsIEEE Transactions on Communications, 1999
- Mutually orthogonal transceivers for blind uplink CDMA irrespective of multipath channel nullsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Finite memory-length linear multiuser detection for asynchronous CDMA communicationsIEEE Transactions on Communications, 1997
- Optimal decorrelating receivers for DS-CDMA systems: a signal processing frameworkIEEE Transactions on Signal Processing, 1996