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We consider the problem of jointly registering multiple point sets using rigid transforms. We propose a distributed algorithm based on consensus optimization for the least-squares formulation of this problem. In each iteration, the computation is distributed among the point sets and the results are averaged. For each point set, the dominant cost per iteration is the SVD of a square matrix of size d, where d is the ambient dimension. Existing methods for joint registration are either centralized or perform the optimization sequentially.

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The power consumption of the base stations is the major part of the total consumption of mobile communications, which implies that it is of great significance to reduce the radio transmit power consumption of base stations under the constraint of quality of service. The dynamic of the traffic leads to the adaptive adjustment of the antenna parameters of the base stations or even turning off some base stations serving low user traffic.

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Using information about the wireless communica- tion channel is a well known approach to estimate a users position. So far it has been shown that such methods can provide positioning information in line-of-sight (LOS) situations by estimating channel properties like time of flight, direction of arrival, and direction of departure of a link between a single access point and station. In this paper we focus on mmWave channels and propose a method that allows positioning in indoor scenarios even under non-line-of-sight conditions by exploiting the presence of scatterers.

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Location is one of the basic information required for underwater optical wireless sensor networks (UOWSNs) for
three main purposes: 1) Relating the sensing measurements with precise sensor positions, 2) Enabling efficient routing techniques by exploiting the sensor locations, and 3) Sustaining link connectivity
and performance via pointing and alignment mechanisms between the nodes. Even though various two-dimensional

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