Computer Sciencehttp://hdl.handle.net/10679/432024-03-29T10:01:55Z2024-03-29T10:01:55ZNetworking standardsBeğen, Ali CengizBök, P. B.Saltsidis, P.http://hdl.handle.net/10679/93242024-03-26T09:55:51Z2017-03-01T00:00:00ZNetworking standards
Beğen, Ali Cengiz; Bök, P. B.; Saltsidis, P.
The article in this special section focus on the market for new networking technologies. Networking technologies are advancing faster than ever before. Aspects driving this change in velocity is the need to support faster, more reliable, ubiquitous services with an ever-increasing scale over the communications infrastructure. This is causing a shift from traditional standards development to a hybrid approach that includes open-source development techniques, tooling, and full lifecycle management. Keeping pace with the changes to the standards ecosystem and evolution of the way networks are built and deployed is challenging. Additionally, the Internet of Things (IoT) is one of the main drivers which, on the one hand, increases the number of connected communicative components, and on the other hand pushes the development of a huge amount of standards.
2017-03-01T00:00:00ZPrediction of active UE number with Bayesian neural networks for self-organizing LTE networksNarmanlıoğlu, Ö.Zeydan, E.Kandemir, MelihKranda, T.http://hdl.handle.net/10679/93212024-03-26T06:38:37Z2017-01-01T00:00:00ZPrediction of active UE number with Bayesian neural networks for self-organizing LTE networks
Narmanlıoğlu, Ö.; Zeydan, E.; Kandemir, Melih; Kranda, T.
Internet-empowered electronic gadgets and content rich multimedia applications have expanded exponentially in recent years. As a consequence, heterogeneous network structures introduced with Long Term Evolution (LTE) Advanced have increasingly gaining momentum in order to handle with data explosion. On the other hand, the deployment of new network equipment is resulting in increasing both capital and operating expenditures. These deployments are done under the consideration of the busy hour periods which the network experiences the highest amount of traffic. However, these periods refer to only a couple of hours over a 24-hour period. In relation to this, accurate prediction of active user equipment (UE) number is significant for efficient network operations and results in decreasing energy consumption. In this paper, we investigate a Bayesian technique to design an optimal feed-forward neural network for shortterm predictor executed at the network management entity and providing proactivity to Energy Saving, a Self-Organizing Network function. We first demonstrate prediction results of active UE number collected from real LTE network. Then, we evaluate the prediction accuracy of the Bayesian neural network as comparing with low complex naive prediction method, Holt- Winter's exponential smoothing method, a deterministic feedforward neural network without Bayesian regularization term.
2017-01-01T00:00:00ZNetworking standardsBeğen, Ali CengizBok, P. B.Saltsidis, P.http://hdl.handle.net/10679/93152024-03-25T11:41:20Z2017-12-01T00:00:00ZNetworking standards
Beğen, Ali Cengiz; Bok, P. B.; Saltsidis, P.
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2017-12-01T00:00:00ZFrom capturing to rendering: Volumetric media delivery with six degrees of freedomVan Der Hooft, J.Vega, M. T.Wauters, T.Timmerer, C.Beğen, Ali CengizDe Turck, F.Schatz, R.http://hdl.handle.net/10679/92922024-03-12T08:15:16Z2020-10-01T00:00:00ZFrom capturing to rendering: Volumetric media delivery with six degrees of freedom
Van Der Hooft, J.; Vega, M. T.; Wauters, T.; Timmerer, C.; Beğen, Ali Cengiz; De Turck, F.; Schatz, R.
Technological improvements are rapidly advancing holographic-type content distribution. Significant research efforts have been made to meet the low latency and high bandwidth requirements set forward by interactive applications such as remote surgery and virtual reality. Recent research made six degrees of freedom (6DoF) for immersive media possible, where users may both move their head and change their position within a scene. In this article, we present the status and challenges of 6DoF applications based on volumetric media, focusing on the key aspects required to deliver such services. Furthermore, we present results from a subjective study to highlight relevant directions for future research.
2020-10-01T00:00:00Z