Angela Feistel

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In wireless networks, a widely studied approach is to minimize transmit powers subject to some quality-of-service constraints. Minimizing transmit powers however is not equivalent to minimizing the energy consumption. In wireless sensor networks that operate in a low-rate regime, the discrepancy between power consumption and the overall energy consumption(More)
This paper addresses the problem of incorporating soft and hard QoS support into the traditional utility-based power control problem. We present some novel problem formulations, prove relevant properties of optimal solutions and propose decentralized recursive algorithms with global convergence. Finally, the convergence behavior and the throughput(More)
We study the impact of physical layer (PHY) transmit rate control on energy efficient estimation in wireless sensor networks. A sensor network collects measurements and transmits them to a Fusion Center (FC) with controllable PHY transmission rates. The FC performs estimation of an unknown parameter process based on sensor measurements, and it needs to(More)
This paper addresses the problem of joint resource allocation in general wireless networks and its practical implementation aspects. The objective is to allocate transmit powers and receive beamformers to the users in order to maximize a network-wide utility that represents the attained QoS and is a function of the signal-to-interference ratios. This(More)
The paper deals with the problem of joint power control and receive beamforming in wireless networks. The objective is to allocate transmit powers and receive beamformers to the users in order to maximize a weighted sum of some utility functions of the signal-to-interference ratios. We propose using a class of utility functions with increasing relative(More)