  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.
