University of Würzburg
In this paper, the authors presents joint iterative power allocation and interference suppression algorithms for spread spectrum networks which employ multiple hops and the amplify-and-forward cooperation strategy for both the uplink and the downlink. They 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. They derive constrained linear Minimum Mean-Squared Error (MMSE) expressions for the parameter vectors that determine the optimal power levels across the relays and the linear receivers. In order to solve the proposed optimization problems, they develop cost-effective algorithms for adaptive joint power allocation, and estimation of the parameters of the receiver and the channels.