scholarly journals Design of a multiband internal antenna for third generation mobile phone handsets

2003 ◽  
Vol 51 (7) ◽  
pp. 1452-1461 ◽  
Author(s):  
M. Ali ◽  
G.J. Hayes ◽  
Huan-Sheng Hwang ◽  
R.A. Sadler
Keyword(s):  
Mobile Phone ◽  
Third Generation ◽  
Internal Antenna

scholarly journals What Really Matters in Auction Design

2002 ◽  
Vol 16 (1) ◽  
pp. 169-189 ◽  
Author(s):  
Paul Klemperer
Keyword(s):  
Mobile Phone ◽  
Competition Policy ◽  
Third Generation ◽  
Auction Design ◽  
Uniform Price ◽  
Spectrum Auctions ◽  
Sealed Bid ◽  
Ascending Auctions

The most important issues in auction design are the traditional concerns of competition policy-preventing collusive, predatory, and entry-deterring behavior. Ascending and uniform-price auctions are particularly vulnerable to these problems. The Anglo-Dutch auctiona hybrid of the sealed-bid and ascending auctions-may perform better. Effective antitrust is also critical. Notable fiascoes in auctioning mobile-phone licenses, television franchises, companies, eletricty, etc., and especially the European “third-generation” (UMTS) spectrum auctions, show that everything depends on the details of the context. Auction design is not “one size fits all.”

A compact internal antenna for LTE/WWAN mobile phone applications

2016 ◽  
Vol 58 (8) ◽  
pp. 1834-1838 ◽  
Author(s):  
Cheng-Chi Yu ◽  
Jiin-Hwa Yang ◽  
Chang-Chih Chen
Keyword(s):  
Mobile Phone ◽  
Mobile Phone Applications ◽  
Internal Antenna

Compact internal antenna for multi standard operations in the mobile phone

2009 ◽  
Author(s):  
Mohamed Ben Ahmed ◽  
Fatiha El Ouaai ◽  
Mohammed Bouhorma ◽  
Ahmed Mamouni
Keyword(s):  
Mobile Phone ◽  
Internal Antenna ◽  
Standard Operations

Interaction Between Internal Antenna and External Antenna of Mobile Phone and Hand Effect

2013 ◽  
Vol 61 (2) ◽  
pp. 862-870 ◽  
Author(s):  
Qingxin Guo ◽  
Raj Mittra ◽  
Fang Lei ◽  
Zengrui Li ◽  
Jilong Ju ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Internal Antenna

scholarly journals Modeling a 3G Mobile Phone base Radio using Artificial Intelligence Techniques

2021 ◽  
Author(s):  
Eduardo Calo ◽  
Gabriel Vaca ◽  
Cristina Sánchez ◽  
David Jines ◽  
Giovanny Amancha ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Mobile Phone ◽  
Predictive Model ◽  
Third Party ◽  
Management Tool ◽  
Practical Case ◽  
Third Generation ◽  
Data Set ◽  
Artificial Intelligence Techniques ◽  
3G Mobile Phone

The main objective of this work is to be able to use artificial intelligence techniques to be able to design a predictive model of the performance of a third-generation mobile phone base radio, using the analysis of KPIs obtained in a statistical data set of the daily behaviour of an RBS. For the realization of these models, various techniques such as Decision Trees, Neural Networks and Random Forest were used. which will allow faster progress in the deep analysis of large amounts of data statistics and get better results. In this part of the work, data was obtained from the behaviour of a third-party mobile phone base radio generation of the Claro operator in Ecuador, it should be noted that. The data are KPIs of the daily and hourly performance of a radio base of third generation mobile telephony, these data were obtained through the operator's remote monitoring and management tool Sure call PRS. To specify this practical case, several models were generated based on in various artificial intelligence technique for the prediction of performance results of a mobile phone base radio of third generation, the same ones that after several tests were creation of a predictive model that determines the performance of a mobile phone base radio. As a conclusion of this work, it was determined that the development of a predictive model based on artificial intelligence techniques is very useful for the analysis of large amounts of data in order to find or predict complex results, more quickly and trustworthy.

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