Empirical Data from Mobile and IP Telephony (original) (raw)
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Traffic Analysis for IP Telephony
2005 2nd International Conference on Electrical and Electronics Engineering, 2005
There is a great interest today in voice communication over the Internet (VoIP) with a high level quality of service (QoS). Our objective in this paper is to assess to what extent today's Internet is meeting this expectation. This work presents H.323 traffic analysis in the scenario where two LANs are connected through the Internet. For tests, series of H.323 calls between two endpoints were established, employing IP commercial cards and an Ethereal protocol analyzer for the packet reception. During the tests were taken into account a set of parameters such as: coded type, packet size (ms), and the voice activity detection. Relationships between the metrics: delay, jitter and packet loss were proved; considering real VoIP scenarios, and different types of codecs.
1992
The explosion of activities and requirements associated with the production, processing and transfer of information is increasingly being matched by a profileration and diversification of new telecommunication media for transmitting information, including text processing and transmission services such as facsimile transmission, videotex, teleconference services, electronic mail etc. Nevertheless, the telephone is still - by far - the most important telecommunication service. The paper results from ESF-research undertaken within the Network on European Communication and Transport Activity Research (NECTAR) and relates to telephone communication undertaken for the Netherlands by Rietveld and Jansen (1990) and Switzerland by Rossera (1990). The current study focuses on the Austrian case and relies on data measured by the Austrian PTT in 1991, in terms of erlangs, an internationally widely used and reliable measure of telecommunication contact intensity. The data refer to the total tele...
A New Model for VoIP Traffic Generation
Anais de VII International Telecommunications Symposium, 2010
In this work a new model for VoIP traffic generation is proposed. The innovation of this model consists in modeling the user behavior instead of the aggregated traffic. We have analyzed the call holding time and the time interval between calls to characterize the user behavior. In order to provide an accurate packet generation, the data nature was modeled by identifying the time for packet transmission and the time interval between packets. Those variables of the proposed model were characterized with probability distributions. The parameters of the distributions were obtained with the analysis of real data collected from two major Brazilian telecommunications carriers. A VoIP traffic simulator was implemented and its results were compared with real data to validate the model. The similarity between synthetic and real data indicates that our model works properly and can be used for VoIP networks modeling and workload generation.
Statistical analysis and modeling of Internet VoIP traffic for network engineering
Electronic Journal of Statistics, 2010
In this paper we show empirical data from Internet traffic measurements. Collected measurements are analyzed for different protocols, such as TCP and UDP. We perform statistical analysis through the correlation coefficients, covariance, and self-similarity degree i.e. Hurst parameter. Our experimental studies captured traffic with Hurst parameter around 0.7-0.75, which is near half way between values of 0.5 (it is not a self-similar) and 1 (strong self-similar properties). We use Maximum Likelihood approach to fit the obtained time series to existing distributions, such as Pareto and exponential distribution, where the first one is a self-similar process and the second is not. The analysis pointed out that Internet traffic with such values for the Hurst parameter could be modeled with similar accuracy using either distribution, Pareto and exponential.
Comparison of User Traffic Characteristics on Mobile-Access versus Fixed-Access Networks
Lecture Notes in Computer Science, 2012
We compare Web traffic characteristics of mobile-versus fixed-access end-hosts, where herein the term "mobile" refers to access via cell towers, using for example the 3G/UMTS standard, and the term "fixed" includes Wi-Fi access. It is well-known that connection speeds are in general slower over mobile-access networks, and also that often there is higher packet loss. We were curious whether this leads mobile-access users to have smaller connections. We examined the distribution of the number of bytesper-connection, and packet loss from a sampling of logs from servers of Akamai Technologies. We obtained 149 million connections, across 57 countries. The mean bytes-per-connection was typically larger for fixed-access: for two-thirds of the countries, it was at least onethird larger. Regarding distributions, we found that the difference between the bytes-per-connection for mobileversus fixed-access, as well as the packet loss, was statistically significant for each of the countries; however the visual difference in plots is typically small. For some countries, mobile-access had the larger connections. As expected, mobile-access often had higher loss than fixed-access, but the reverse pertained for some countries. Typically packet loss increased during the busy period of the day, when mobile-access had a larger increase. Comparing our results from 2010 to those from 2009 of the same time period, we found that connections have become a bit smaller.
PERFORMANCE ANALYSIS AND MODELLING OF IP TELEPHONY TRAFFIC
The world is increasingly becoming IP Centric, one of the fastest growing internet application is the Internet Protocol Telephony (IPT), which allow voice transmission over Computer Network. This project focuses on IP Telephony (IPT) traffic as one of the recent internet applications. It investigates the characteristics of measured IPT traffic on both call and packet level, with explanations to the major factors that affect voice quality in an IP network. The result shows that internet voice traffic is being affected by the Codec used, Delay by the link, jitter, packet loss, which all contribute to the degradation of voice quality. To boost the quality of service (QoS) in an IP Telephony network, the frame work of this project was built on the modeling of an Adaptive filter using LMS (least mean square) algorithm, to filter noise in an IP Telephony network. The final error e is 0.4081 which shows that noise is totally cancelled from the speech signal. Assuming the final error signal is zero, in this situation the noise signal would be completely cancelled and the far user would not hear any form of unwanted sound in the original speech returned to them.
Innovative Computing and Communications. ICICC 2024. Lecture Notes in Networks and Systems, vol 1038. Springer, Singapore., 2024
This research analyzes landline telecommunication patterns by examining call records from a southern Albanian operator across two non-consecutive months. Through cross-sectional analysis, rigorous data filtration, and aggregation, it utilizes statistical techniques such as descriptive statistics, normality tests (Shapiro-Wilk, Anderson-Darling), and the Mann-Whitney U test, along with Pearson’s correlation and visual tools (scatter, time-series plots, heatmaps), to show daily and hourly call trends. The main conclusions present distinct call duration and start time patterns. There is considerable variability, and a significant positive linear relationship between day-to-day changes in daily call volume and daily call duration in both months. Periods of heightened activity were identified during the mornings, late afternoon hours, and weekends. These underscore the complex nature of telecommunications interactions. The research findings improve understanding and network optimization strategies and also highlight the necessity for dynamic, data-centric approaches. The adoption of advanced analytical methods, including artificial intelligence, is supported to augment operational efficiency, shaping the telecommunications sector’s advancement toward a more adaptive, knowledge-based future.
Traffic Patterns on Different Internet Access Technologies
The incentives for traffic measurements and traffic pattern analysis are increasing. New technologies for accessing the Internet like high speed packet data services in mobile networks are deployed, which imply in many cases that users share transfer channel resources. Applications and user behaviour from a wired environment may have a negative impact on these resources. This paper discusses the need for deeper knowledge of application and user behaviour in new access technologies and also suggests measuring and analysis methods.
Mobile broadband subscription and traffic evolution
The paper describes the long-term mobile broadband subscription and traffic evolution. Long-term forecasts are modeled and developed for the period 2010 – 2015. The forecasts are subscription and penetration forecasts, traffic forecasts per subscription in busy hour and traffic forecasts per month. The forecasts are important input for dimensioning the roll out of mobile broadband networks and for evaluation of mobile broadband business cases including expected future revenues. Separate forecasts have been developed for large and small screens (handsets) and for the business and the consumer market. The total traffic forecasts show significant exponential growth in the period 2010 -2015. However, the mobile broadband traffic volume in 2015 is still very much lower than the broadband traffic volume. Introduction The analyses are based on collected mobile broadband (MBB) demand data from Western Europe. The long-term forecasts reflect a situation where mobile operators face reasonable...