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Joint Domain Localized Adaptive Processing with Zero Forcing for Multi-Cell CDMA Systems
 

Summary: Joint Domain Localized Adaptive Processing with
Zero Forcing for Multi-Cell CDMA Systems
Rebecca Y. M. Wong, Raviraj Adve
Dept. of Electrical and Computer Engineering, University of Toronto
10 King's College Road, Toronto, Ontario, Canada, M5S 3G4
Abstract-- An integrated beamforming (spatial processing) and
multiuser detection (temporal processing) scheme is an effective
approach to increase system capacity, but is also impractical
due to the high associated computational costs. The authors
previously proposed the Joint Domain Localized (JDL) processing
which achieves significantly lower computational cost and faster
convergence rate in terms of number of training symbols. This
paper makes justifies the choice of the transformation matrix
that is the basis for the JDL algorithm. Building on the JDL
processing, we also introduce a new processor that combines the
JDL processing and zero forcing for multi-cell uplink CDMA
systems. The simulations show that this approach achieves better
performance and faster convergence rate than the JDL algorithm
as well as the reduced rank and iterative schemes introduced by
other researchers. If restricted by short training sequences, it

  

Source: Adve, Raviraj - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Engineering