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This paper presents joint power allocation and interference mitigationtechniques for the downlink of spread spectrum systems which employ multiplerelays and the amplify and forward cooperation strategy. We propose a jointconstrained optimization framework that considers the allocation of powerlevels across the relays subject to an individual power constraint and thedesign of linear receivers for interference suppression. We derive constrainedminimum mean-squared error (MMSE) expressions for the parameter vectors thatdetermine the optimal power levels across the relays and the linear receivers.In order to solve the proposed optimization problem efficiently, we developjoint adaptive power allocation and interference suppression algorithms thatcan be implemented in a distributed fashion. The proposed stochastic gradient(SG) and recursive least squares (RLS) algorithms mitigate the interference byadjusting the power levels across the relays and estimating the parameters ofthe linear receiver. SG and RLS channel estimation algorithms are also derivedto determine the coefficients of the channels across the base station, therelays and the destination terminal. The results of simulations show that theproposed techniques obtain significant gains in performance and capacity overnon-cooperative systems and cooperative schemes with equal power allocation.

Joint Power Adjustment and Interference Mitigation Techniques for Cooperative Spread Spectrum Systems