Diffusion of broadband services: an empirical study

Strużak, R.

doi:10.1109/mcom.2012.6257538

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Figure 6 shows that it increased from about some 20 percentage points in 2007 up to 70 percentage points in 2014, and that the trend continues. Generally, the growth of telecommunication services can be described by logistic functions, which indicate that in some cases the divide cannot be reduced, or could be chaotic [48], [49]. The diverging lines of Figure 6 send a strong message: the goal to eliminate the digital divide is physically unrealizable, or our approach to it is inefficient, and needs a substantial review.…”

Section: Developing Regionsmentioning

confidence: 99%

On Radio-Frequency Spectrum Management

Strużak,

Tjelta,

Borrego

2016

JTIT

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This article review lessons learned from the uses of radio-frequency (RF) spectrum at national and international scales. Its main purpose is to stimulate debate on how to allow new wireless systems to operate, and to reduce the chronic apparent shortage of RF spectrum. The article aims at a better understanding of the mechanisms behind spectrum management and their pertinence to the public interest. The main contributions if the article are:• Considering RF spectrum management as a construct that structures radio services and, at the same time, distributes wealth and power;• Highlighting major doctrines of RF spectrum management;• Promoting spectrum management directly by its users;• Promoting cooperation and transparency.The several parts of the paper include the evolution of spectrum exploitation, and a foreseeable future by taking a closer look at major dilemmas and challenges. The paper ends with general comments and conclusions.

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Section: Developing Regionsmentioning

confidence: 99%

On Radio-Frequency Spectrum Management

Strużak,

Tjelta,

Borrego

2016

JTIT

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“…There are some fundamental properties to this function that have been exploited and may be found in [19]. Many have focused on a specific instantiation of the frame success function [1,8,15,23], while others have not [26,27,28,29], preferring to work with the rate capacity instead. Recent papers have considered arbitrary utility functions that are not necessarily social optimums since the sum of the utilities aren't weighted.…”

Section: Introductionmentioning

confidence: 99%

Logistic Modeling for Optimal Resource Allocation in Network Assisted Power Control

Marantz

2016

Wireless Pers Commun

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Controlling the distribution of resources is imperative in any wireless system. Much research has considered the efficiency of the allocation in terms of bits per Joule of radiated energy. The most common model used in analysis of this utility has been the logistic curve. Many game theoretical concepts have been used to propose algorithms that help such systems reach an optimal operating point. This paper investigates network assisted power control in general and, unlike other work that has previously been done, proves that for a very general class of functions it is Pareto Optimal. Furthermore, a methodology to modeling wireless systems with various modulation and channel conditions as logistic functions is presented and their trade-offs investigated.

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Diffusion of broadband services: an empirical study

Cited by 2 publications

References 2 publications

On Radio-Frequency Spectrum Management

On Radio-Frequency Spectrum Management

Logistic Modeling for Optimal Resource Allocation in Network Assisted Power Control

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