Leonid Mokrushin

Towards automated service-oriented lifecycle management for 5G networks

5G networks will be a key enabler for the Internet of Things by providing a platform to connect a massive number of devices with heterogeneous sets of network quality requirements. In this environment, 5G network operators will have to solve the complex challenge of managing network services for diverse customer sectors (such as automotive, health or energy) with different requirements throughout their lifecycle. In this paper, we present current state of our work on automating part of the network service lifecycle management using knowledge management- and decision support techniques. We also present our ongoing implementation steps for such management function in 5G networks.

M2M Service Enablement for the enterprise

Machine-to-machine (M2M) communication is being used in a variety of domains from a car manufacturers assembly line to utility meters that measure a households electricity consumption. In this paper, we are presenting an approach that allows for enriching business processes using smartphones through an M2M communication paradigm. The presented approach is characterized by the following properties: ease of participation, ease of application development, security, real-time performance, ease of influencing backend business processes and technology/protocol agnostic interaction. These properties are achieved by combining the Ericsson Web Connectivity Enabler, the Ericsson Common Composition Core with the vBPMN Business Process enabled SAP backend system. The proposed solution is evaluated using a scenario from the logistics area.

Feasibility assessment to realise vehicle teleoperation using cellular networks

Future cellular networks (5G) will be used for a diversity of use cases. Transportation is one domain where cellular networks can play a significant role not only in connecting autonomous vehicles to other vehicles, infrastructures, and people, but also in realizing vehicle teleoperation i.e., vehicle driven by an operator from a distance. In this paper, we assess the feasibility of using a cellular network to realise vehicle teleoperation. We identify the network requirements for a teleoperated vehicle use case in an urban environment using a test setup of an LTE network and simulations. Testbed measurements reveal that teleoperation use cases can be supported even with less than excellent signal strength. Through simulation we show that the testbed can scale to cover greater distances and support teleoperation use cases even with background mobile broadband traffic.

Model Federation and Probabilistic Analysis for Advanced OSS and BSS

Advanced OSS and BSS will be expected to operate cooperatively and across multiple domains and business layers. This can be reached with shared information models providing a comprehensive insight into the entire operated heterogeneous environment. This paper contributes to this vision in two respects. It first introduces a technique for creating a federated information model by inter-relating existing and potentially very different domain specific models. Furthermore, the resulting federated model is used as structural base for defining probabilistic analysis with a Bayesian network. This demonstrates how valuable insights can be obtained through model federation rather than solely relying on separated models reaching only a limited set of information.