Title
Joint Iterative Power Allocation and Interference Suppression Algorithms for Cooperative DS-CDMA Networks
Abstract
This work presents joint iterative power allocation and interference suppression algorithms for DS-CDMA networks which employ multiple relays and the amplify and forward cooperation strategy. We propose a joint constrained optimization framework that considers the allocation of power levels across the relays subject to individual and global power constraints and the design of linear receivers for interference suppression. We derive constrained minimum mean-squared error (MMSE) expressions for the parameter vectors that determine the optimal power levels across the relays and the parameters of the linear receivers. In order to solve the proposed optimization problems efficiently, we develop recursive least squares (RLS) algorithms for adaptive joint iterative power allocation, and receiver and channel parameter estimation. Simulation results show that the proposed algorithms obtain significant gains in performance and capacity over existing schemes.
Year
DOI
Venue
2013
10.1109/VETECS.2010.5493777
Vehicular Technology Conference
Keywords
Field
DocType
channel estimation,code division multiple access,interference suppression,least mean squares methods,optimisation,spread spectrum communication,mmse,rls algorithms,amplify-forward cooperation strategy,channel parameter estimation,cooperative ds-cdma networks,interference suppression algorithms,joint constrained optimization framework,joint iterative power allocation,minimum mean-squared error,receivers,recursive least squares
Mathematical optimization,Expression (mathematics),Cdma networks,Algorithm,Interference (wave propagation),Optimization problem,Channel parameter estimation,Recursive least squares filter,Mathematics,Constrained optimization
Journal
Volume
ISSN
ISBN
abs/1304.2388
1550-2252 E-ISBN : 978-1-4244-2519-8
978-1-4244-2519-8
Citations 
PageRank 
References 
4
0.41
11
Authors
2
Name
Order
Citations
PageRank
de Lamare, R.C.165233.42
Sheng Li26312.51