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The efficient management of the radio spectrum is a key functionality in every type of wireless network. Wireless nodes generally have heterogeneous QoS targets, which sometimes cannot be satisfied for all of them due to the high interference levels that frequently arise, even in sparse topologies. In this paper, the authors propose a distributed negotiation-based power control algorithm that aims at maximizing the number of nodes achieving their QoS targets. Their algorithm combines the influential Foschini-Miljanic power control algorithm with a bargaining-inspired phase (among the unsatisfied nodes only).
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