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Showing papers by "István Gódor published in 2016"


Proceedings ArticleDOI
01 Oct 2016
TL;DR: This paper revisits the radio network energy performance evaluation methodology, commonly known as E3F, and proposes updates to the large-scale deployment and long-term traffic models in order to reflect the situation in a 5G time frame, and also an improvement in the sense that the baseline network is dimensioned to exactly meet the traffic and performance requirements.
Abstract: In this paper, we revisit the radio network energy performance evaluation methodology, commonly known as E3F, that was developed in the European EARTH project during 2010–2011. We propose updates to the large-scale deployment and long-term traffic models in order to reflect the situation in a 5G time frame, and also an improvement in the sense that the baseline network is dimensioned to exactly meet the traffic and performance requirements. As an example, we apply the methodology in order to dimension and evaluate the energy performance of a state-of-the-art country-wide LTE network. The inter site distances of the resulting network range from 380 m in super dense urban (serving 20,000 citizens/km2) to 4850 m in rural areas (serving 100 citizens/km2). The resulting average power per area unit is 0.14 kW/km2, which is significantly lower than what was found in the EARTH project. This can be explained by two factors: i) The present study assumes more efficient base stations, and ii) the baseline network of the original E3F was over-dimensioned. Nevertheless, the conclusion from the EARTH project, that the absolute majority of energy consumed in a radio network is spent on providing coverage, still remains.

10 citations


01 Jan 2016
TL;DR: The preliminary findings on squash analytics that are performed on large-scale data obtained from a smart squash court show that indeed one can distinguish leisure and competitive squash based on the positions and speed of the players, the location of front-wall ball impacts, etc.
Abstract: One can easily tell about an ongoing squash game whether it is played as a leisure activity or a tournament is going on. Although it seems trivial by the look of it, it is hard to quantify the differences between the two ways of playing squash. In this paper we present our preliminary findings on squash analytics that we performed on large-scale data obtained from a smart squash court. Our results show that indeed one can distinguish leisure and competitive squash based on the positions and speed of the players, the location of front-wall ball impacts, etc. In this paper we present our data collection framework, the applied data analytics methodology and our results.

2 citations


Proceedings ArticleDOI
Dávid Jocha1, István Gódor1
10 Apr 2016
TL;DR: This paper extends the graph theory based approach of this problem and generalizes the special cases of the previous study to reduce or completely eliminate the interference might occur between links in frequency duplex networks.
Abstract: Interference elimination is a key aspect of planning and operating wireless networks Using frequency duplex links is a common practice, where the communication is done via two channels separated in frequency An optimization problem is how to allocate the channels in the frequency duplex in order to reduce or completely eliminate the interference might occur between links In a previous paper we revealed the unexpected difference between this problem and polarization setting if the sharpness of the applied beam widths is relaxed in such microwave networks In this paper we extend the graph theory based approach of this problem and generalize the special cases of the previous study

Proceedings ArticleDOI
01 Dec 2016
TL;DR: A preliminary work on setting up a protocol for monitoring the activity rate of patients during chemotherapeutic treatment, consisting of a set of commercial fitness devices and a central server for evaluating data.
Abstract: Chemotherapy is a common treatment of neoplasm with highly varying outcome. The efficiency of the therapy and the caused side effects depend strongly on the tolerance rate of the patient. The tolerance is expected to be higher for active people. Here we present a preliminary work on setting up a protocol for monitoring the activity rate of patients during chemotherapeutic treatment. Our setup consists of a set of commercial fitness devices and a central server for evaluating data. We showcase criteria for selecting the appropriate device and discuss the possibilities of scaling up the configuration. We also consider aspects of patients' anonymity and how the proposed protocol compares to traditional methods.