Vector quantization and signal compression
Vector quantization and signal compression
Multiuser Detection
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
IEEE Transactions on Signal Processing
Minimum energy coding in CDMA wireless sensor networks
IEEE Transactions on Wireless Communications
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Adaptive alternating minimization algorithms
IEEE Transactions on Information Theory
Multiuser detection for cooperative networks and performance analysis
IEEE Transactions on Signal Processing
On the capacity of mobile ad hoc networks with delay constraints
IEEE Transactions on Wireless Communications
Decode-and-Forward Cooperative Diversity with Power Allocation in Wireless Networks
IEEE Transactions on Wireless Communications
Cross-layer optimization frameworks for multihop wireless networks using cooperative diversity
IEEE Transactions on Wireless Communications
Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks
IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
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This paper presents joint power allocation and interference mitigation techniques for the downlink of spread spectrum systems 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 an individual power constraint 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 linear receivers. In order to solve the proposed optimization problem efficiently, we develop joint adaptive power allocation and interference suppression algorithms that can be implemented in a distributed fashion. The proposed stochastic gradient (SG) and recursive least squares (RLS) algorithms mitigate the interference by adjusting the power levels across the relays and estimating the parameters of the linear receiver. SG and RLS channel estimation algorithms are also derived to determine the coefficients of the channels across the base station, the relays and the destination terminal. The results of simulations show that the proposed techniques obtain significant gains in performance and capacity over non-cooperative systems and cooperative schemes with equal power allocation.