Pricing Model and Real Options in 4G LTE Mobile Network

2012 ◽  
Author(s):  
Wichian Premchaiswadi ◽  
Santi Pattanavichai
Keyword(s):  
Real Options ◽  
Mobile Network ◽  
Pricing Model ◽  
4G Lte

Determining Critical Factors Project Delay and Effecting Cost Overruns in Telecommunication Mobile Network Projects

2021 ◽  
Vol 6 (1) ◽  
pp. 30-35
Author(s):  
Deni Bakhtiar ◽  
Mulya R. Mashudi ◽  
Maulahikmah Galinium
Keyword(s):  
Role Model ◽  
Critical Factor ◽  
Mobile Network ◽  
Critical Factors ◽  
Monitoring Equipment ◽  
Cost Overruns ◽  
4G Lte ◽  
Cost Plan ◽  
Structured Questionnaire ◽  
Project Delay

Telecommunication Industry has created numerous employment opportunities and playing a role model in economic growth of Indonesia. This industry is facing serious and critical problem of cost overruns in Telecommunication Mobile Network Projects, especially in implementation 4G-LTE Project in Jakarta, Depok, Bogor, Tangerang, Bekasi (Jadebotabek) area. The purpose of this research is to identify and classify critical factors project delay and expound the effect of that critical factors to cost overruns. A structured questionnaire based on 38 factors project delay related to cost overruns (Ullah et al., 2017) was developed and distributed to 100 respondents from 35 selected Contractor Company in Jadebotabek area. The collected data was statistically analyzed with Factor Analysis and Multiple Linear Regression that processed using SPSS. As a result, 4 new Critical Factor Project Delay effect to Cost Overruns in sequence are Lack of cost plan and monitoring, Equipment failure, Extension of time, and Inadequate project preparations were identified.

scholarly journals Artificial Intelligence and Machine Learning in 5G and beyond: A Survey and Perspectives

2021 ◽  
Author(s):  
Abdelfatteh Haidine ◽  
Fatima Zahra Salmam ◽  
Abdelhak Aqqal ◽  
Aziz Dahbi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Mobile Networks ◽  
Network Architecture ◽  
Mobile Network ◽  
Cost Effective ◽  
Mobile Internet ◽  
Network Function ◽  
New Radio ◽  
4G Lte

The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major challenge of high capacities, to build real broadband mobile Internet. This was possible mainly through very strong physical layer and flexible network architecture. However, the bandwidth hungry services have been developed in unprecedented way, such as virtual reality (VR), augmented reality (AR), etc. Furthermore, mobile networks are facing other new services with extremely demand of higher reliability and almost zero-latency performance, like vehicle communications or Internet-of-Vehicles (IoV). Using new radio interface based on massive MIMO, 5G has overcame some of these challenges. In addition, the adoption of software defend networks (SDN) and network function virtualization (NFV) has added a higher degree of flexibility allowing the operators to support very demanding services from different vertical markets. However, network operators are forced to consider a higher level of intelligence in their networks, in order to deeply and accurately learn the operating environment and users behaviors and needs. It is also important to forecast their evolution to build a pro-actively and efficiently (self-) updatable network. In this chapter, we describe the role of artificial intelligence and machine learning in 5G and beyond, to build cost-effective and adaptable performing next generation mobile network. Some practical use cases of AI/ML in network life cycle are discussed.

scholarly journals The Sunk Cost and the Real Option Pricing Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12 ◽  
Author(s):  
Songsong Li ◽  
Yinglong Zhang ◽  
Xuefeng Wang
Keyword(s):  
Option Pricing ◽  
Real Options ◽  
Real Option ◽  
Value Function ◽  
Intrinsic Value ◽  
Pricing Model ◽  
Sunk Cost ◽  
Financial Options ◽  
Real Option Pricing ◽  
Option Pricing Model

Although the academic literature on real options has grown enormously over the past three decades, hitherto an accurate real option pricing model has not been developed for investment decision analyses. In this paper, we propose a real option pricing model based on sunk cost characteristics, which can estimate the value of real options more accurately. First, we explore the distinctive features that distinguish real options from financial options. The study shows that the distinguishing feature of the real options is the sunk cost, which does not exist in the financial options. Based on the sunk cost characteristic of real options, we find that the exercise conditions of real and financial options are different. Second, we introduce the sunk cost into the intrinsic value function of real options and establish a new real option pricing model. Finally, this paper also discusses the properties of the intrinsic value function and pricing model of real options. We find that the application of the Black–Scholes option pricing model will overestimate the value of real options.

scholarly journals Analisis Hasil Pengukuran Performansi Jaringan 4G LTE 1800 MHz di Area Sokaraja Tengah Kota Purwokerto Menggunakan Genex Asistant Versi 3.18

AITI ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 115-124
Author(s):  
Ferdinanta Karo Karo ◽  
Eka Setia Nugraha ◽  
Fikri Nizar Gustiyana
Keyword(s):  
Mobile Network ◽  
Test Method ◽  
Probe Signal ◽  
Lte Network ◽  
Network Provider ◽  
4G Lte

The implementation of 4G LTE network and its advantages gave us faster speed of mobile network. We need to know the performance of LTE mobile network in Sokaraja Tengah – Indonesia, which deployed by Telkomsel network provider by comparing its  RSRP, SINR, RSRQ, and throughput using drive test method of Genex Probe. Signal performance was measured by drive test dedicated mode on the streamed videos and analyzed with Genex Assistant. The result shows that generally Telkomsel’s 4G LTE network in Sokaraja Tengah has 99.7% of (-70) – (-90) dBm RSRP value, 85.09% of 1-15 SINR value, 99.23% of (-15)-0 dBm RSRQ value, average uplink 2575 kbps and downlink 1530 kbps of throughput.

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