Maximin SNR beamforming strategies for two-way relay channels

In this letter, we consider beamforming strategies in amplified-and-forward (AF) two-way relay channels, where two terminals and the relay are equipped with multiple antennas. Our aim is to optimize the worse end-to-end signal-to-noise ratio of the two links so that the reliability of both terminals can be guaranteed. We show that the optimization problem can be recast as a generalized fractional programing and be solved by using the Dinkelbach-type procedure combined with semidefinite programming. Simulation results confirm the efficiency of the proposed strategies.

Das Erzbistum Trier 13. Die Benediktinerabtei St. Maximin vor Trier

Die wohl um 700 aus einer Priestersozietät an der Grabeskirche des Trierer Bischofs Maximin (329-vor 347) herausgebildete Mönchsgemeinschaft im Trierer Stadtgebiet gehörte im Mittelalter zu den fünf begütertsten Reichsabteien. Dies erlaubte der Abtei trotz ihrer Anfänge als Bischofskloster schon bald eine weitgehend selbständige Stellung zwischen den regionalen Mächten Trier und Luxemburg, die sie bis zu ihrer Aufhebung im Jahre 1802 behaupten konnte. Einen religiösen und kulturellen Höhepunkt bewirkte im 10. Jahrhundert die Nähe der Abtei zum ottonischen Herrscherhaus. Durch die Nutzung der Maximiner Reformordnung als Mittel der Intensivierung der Kirchenpolitik seitens der Ottonen erlangte das Kloster den Status einer Reichsabtei, führte zahlreiche Reformen in den Gliedern der Reichskirche durch und wurde zur Ausbildungsstätte des höheren Klerus, so dass in dieser Ära aus dem Maximiner Konvent 42 Äbte anderer Klöster hervorgingen. Bemerkenswert an dieser Abtei war nicht nur ihre spezifische Ausformung der Benedictusregel und ihr materieller Reichtum, sondern auch ihr zeitweilig sehr produktives, um 1000 mit der Egbert-Schule verbundenes Skriptorium.

Sequential decision making with partially ordered preferences

This paper presents new insights and novel algorithms for strategy selection in sequential decision making with partially ordered preferences; that is, where some strategies may be incomparable with respect to expected utility. We assume that incomparability amongst strategies is caused by indeterminacy/imprecision in probability values. We investigate six criteria for consequentialist strategy selection: Gamma-Maximin, Gamma-Maximax, Gamma-Maximix, Interval Dominance, Maximality and E-admissibility. We focus on the popular decision tree and influence diagram representations. Algorithms resort to linear/multilinear programming; we describe implementation and experiments. (C) 2010 Elsevier B.V. All rights reserved.

Single-objective spreading algorithm

This paper addresses the problem of finding several different solutions with the same optimum performance in single objective real-world engineering problems. In this paper a parallel robot design is proposed. Thereby, this paper presents a genetic algorithm to optimize uni-objective problems with an infinite number of optimal solutions. The algorithm uses the maximin concept and ε-dominance to promote diversity over the admissible space. The performance of the proposed algorithm is analyzed with three well-known test functions and a function obtained from practical real-world engineering optimization problems. A spreading analysis is performed showing that the solutions drawn by the algorithm are well dispersed.

Automated synthesis procedure of RF discrete tuning differential capacitance circuits

The paper presents a RFDSCA automated synthesis procedure. This algorithm determines several RFDSCA circuits from the top-level system specifications all with the same maximum performance. The genetic synthesis tool optimizes a fitness function proportional to the RFDSCA quality factor and uses the epsiv-concept and maximin sorting scheme to achieve a set of solutions well distributed along a non-dominated front. To confirm the results of the algorithm, three RFDSCAs were simulated in SpectreRF and one of them was implemented and tested. The design used a 0.25 mum BiCMOS process. All the results (synthesized, simulated and measured) are very close, which indicate that the genetic synthesis method is a very useful tool to design optimum performance RFDSCAs.

Automated Synthesis Procedure of RF Discrete Tuning Differential Capacitance Circuits

The paper presents a RFDSCA automated synthesis procedure. This algorithm determines several RFDSCA circuits from the top-level system specifications all with the same maximum performance. The genetic synthesis tool optimizes a fitness function proportional to the RFDSCA quality factor and uses the epsiv-concept and maximin sorting scheme to achieve a set of solutions well distributed along a non-dominated front. To confirm the results of the algorithm, three RFDSCAs were simulated in SpectreRF and one of them was implemented and tested. The design used a 0.25 mum BiCMOS process. All the results (synthesized, simulated and measured) are very close, which indicate that the genetic synthesis method is a very useful tool to design optimum performance RFDSCAs.