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This thesis studies the capacity of multipoint radio networks. One is given a set of requests for connections between pairs of devices. We need to assign each request a time slot and a transmission power such that the requests in each time slot can be scheduled simultaneously. The feasibility of simultaneous communication is defined by the widely accepted SINR interference model. We strive to minimize the time needed to schedule all requests. Our focus lies on algorithms using distance-based power assignments, for which the power of a request relies only on the distance between the devices. Such assignments are inherently local and particularly useful in distributed settings. Our analysis reveals that algorithms applying a clever, nontrivial choice of the transmission powers significantly outperform currently implemented algorithms. We further present good scheduling strategies when restricting to energy-efficient power assignments.

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was born in 1981 in Meerane, Germany. He studied computerscience (minor subject: medicine) with a focus on theory. In 2010 he received his PhD within the ´UMIC Exzellenzcluster´ from the RWTH Aachen. Today he works in the field of automotive electronics devleopment at BMW in Munich.

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