1,720,994 research outputs found
Analysis of VoLTE End-to-End Quality of Service Using OPNET
Long Term Evolution (LTE) is a 3GPP standard for wireless transmission systems. It is also the first 3GPP wireless standard full IP-based. Due to its possibility to reach very high throughput (e.g. 100 Mbps in downlink), an efficient end-to-end QoS treatment is needed in order to guarantee a good QoS perceived by end user (QoE). Voice service delivered by LTE systems is Voice over IP (VoIP) service, with no QoS-aware mechanism. LTE provides a unique and native QoS-aware mechanism for end-to-end service delivering based on EPS bearer and QCI. Since efficient end-to-end QoS management of VOLTE should treat different aspects, this paper analyze the influence of voice codecs on end-to-end VoLTE performance. Different voice codecs are considered in different scenarios simulated using OPNET Modeler software tool. Final comparison among them is provided
Analysis of VoIP over LTE End-to-End Performances in Congested Scenarios
Long Term Evolution (LTE) is the first fully IPbased 3GPP standard for wireless transmission system. Due to innovative features it is able to offer very high throughput (e.g. 100 Mbps in downlink) to end user. For this reason Mobile Network Operators (MNO) need to adopt efficient end-to-end QoS approach in order to improve service quality perceived by end user. This should be adopted especially in case of delay sensitive services carried out over LTE networks, like VoIP over LTE (VoLTE). Transmission conditions and network impairments are key negative factors that can affect service delivery and network management activities. This research paper analyzes the influence of link utilization and network congestion on end-to-end basis VoLTE performance. Different scenarios are simulated using OPNET Modeler software tool in a good way. Finally comparison among them is provided
Quality of experience analysis for VoLTE services through artificial neural network fitting
Satellite-Based Capillary 5G-mMTC Networks for Environmental Applications
Besides traditional 5G MBB and ULLRC services, 5G networks will also embody connections to billions of Internet of Things (IoT) objects. Future IoT 5G-mMTC applications for environmental monitoring, remote metering, and surveillance over metropolitan areas are among the main enablers of the Smart City concept. The role of satellite to transfer large amount of data gathered from (any type of) sensors spread over geographical metropolitan areas in a country can be helpful to promote the implementation of smart applications aimed for example to optimize usage of resources (e.g., energy), transportation flows, centralized control of critical infrastructures, etc., at a nation-wide scale. One of the main limitations of this scenario consists in the availability of sensors devices incorporating transmission facilities to directly connect to the satellite. In this paper, we assess the achievable performance of a FttC-based capillary network extended to include terrestrial radio stations (RSs) collecting data from surrounding IoT devices. RS data are then transferred using one (or more) copper pair(s) to the satellite modem installed at the cabinet as well as at the central office. Performance of the considered network architecture is expressed in terms of the blocking probability for satellite access
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