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Featured Telecommunication articles by expert witnesses and consultants. Contact Us if you are interested in having your work published on our website and linked to your Profile(s).

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5/23/2012· Telecommunication

New Results On The Single Server Queue With a Batch Markovian Arrival Process

By: Dr. David Lucantoni

The versatile Markovian point process was introduced by M. F. Neuts in 1979. This is a rich class of point processes which contains many familiar arrival process as very special cases. Recently, the Batch Markovian Arrival Process, a class of point processes which was subsequently shown tobe equivalent to Neuts' point process, has been studied using a more transparent notation.

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2/27/2010· Telecommunication

Rumpelstiltskin LLP: Spinning 1 Junk Fax into Bars of Gold…or Pigs of Lead

By: Ray Horak

In an effort to address a growing number of telephone marketing calls and certain other telemarketing practices thought to be invasions of privacy, Congress enacted the Telephone Consumer Protection Act of 1991 (TCPA), codified at 47 U.S.C. § 227. We all know about the restrictions on unsolicited telemarketing calls..

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6/10/2011· Telecommunication

Traffic Smoothing Effects Of Bit Dropping In A Packet Voice Multiplexer

By: David Lucantoni

Recent studies have shown that the superposition of packet sequences generated by packetized voice sources with speech detection exhibit high burstiness due to inherent correlations between successive interarrival times in the superposition stream.

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4/26/2011· Telecommunication

The BMAP/G/l QUEUE: A Tutorial

By: David Lucantoni

We present an overview of recent results related to the single server queue with general independent and identically distributed service times and a batch Markovian arrival process (BMAP).

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10/10/2011· Telecommunication

A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance

By: Dr. David Lucantoni

We study the performance of a statistical multiplexer whose inputs consist of a superposition of packetized voice sources and data. The performance analysis predicts voice packet delay distributions, which usually have a stringent requirement, as well as data packet delay distributions.

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3/10/2011· Telecommunication

Multi-Dimensional Transform Inversion With Applications To The Transient M/G/1 Queue

By: David Lucantoni

We develop an algorithm for numerically inverting multi-dimensional transforms.

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11/13/2010· Telecommunication

Squeezing the Most Out of ATM

By: David Lucantoni, G. L. Choudhury, and Ward Whitt

Much energy is being devoted to studying the promising new asynchronous transfer mode (ATM) technology for supporting multiservice high-speed communication networks-e.g., see Roberts [39]. As indicated in [39], interest in ATM is stimulated by two factors: First, by new technology making it possible to transmit and switch at very high bandwidths; and, second, by the growing demand for more sophisticated and powerful communication services.

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11/13/2010· Telecommunication

Modeling Multiple IP Traffic Streams

By: David Lucantoni, PhD, Daniel P Heyman

Two of the many many applications of queueing models in communications networks are sizing links in transport networks and buffers in routers. A fundamental part of a queueing model is the arrival process. A Markov-modulated Poisson process (MMPP) is an attractive model for describing backbone packet traffic.

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1/24/2018· Telecommunication

Analyst Angle: How to Provide Gigabit LTE Cheaply When You Don't Have the Spectrum?

By: Keith Mallinson

Consumers are only beginning to use LTE in unlicensed spectrum. So far chatter has mostly been about operator trials, commercial chipsets and sales of devices to seed the market before anyone is to be able to use the new service feature. Nevertheless, the commercial impact will be quite dramatic within a few years.

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10/4/2017· Telecommunication

5G Investment Threatened by Tech Titans Snatching Financial Growth from Mobile Operators

By: Keith Mallinson

Technology innovation by chip, device and equipment vendors plus intense competition among national oligopolies of mobile network operators has improved cellular performance and reduced costs to the enormous benefit of consumers. Meanwhile, recent financial gains in the mobile ecosystem are largely accruing to Silicon Valley's tech titans including Apple, Alphabet, Facebook and Netflix. The massive network investments required for 5G may not be forthcoming if this imbalance persists.

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