scholarly journals Guagingof key performance indicators for 2G mobile networks in Calabar, Nigeria

2021 ◽  
Vol 12 (2) ◽  
pp. 157-163
Author(s):  
Ukoette Jeremiah Ekah ◽  
Chibuzo Emeruwa
Keyword(s):  
Mobile Networks ◽  
Performance Indicators ◽  
Mobile Network ◽  
Key Performance Indicators ◽  
Mobile Services ◽  
Regulatory Body ◽  
Network Coverage ◽  
Coverage Analysis ◽  
Network Quality ◽  
Mobile Network Operators

The increase in the number of mobile subscribers, coupled with the increase in mobile services is enough reason to monitor the QoS of mobile network operators frequently. This work looks into the QoS of network operators in Calabar, Nigeria, taking into consideration some KPIs ((CSSR, DCR, CST, HOSR, and network quality and network coverage). Analysis of data obtained after a benchmarking drive test shows that Globacom network was within NCC performance threshold for all network KPIs monitored. Also, MTN network performed poorly in HOSR but met the minimum benchmark in other network KPIs. Airtel network failed in the required DCR benchmark but was within the minimum benchmark for other KPIs while 9mobile failed in CSSR and DCR performance threshold but met the performance threshold for other KPIs. This result will be useful to the regulatory body, NCC, those in academic, RF engineers, network subscribers and especially, the network operators which we expect, will optimize their networks immediately.

Economic Framework of Tariffs’ Determination in Telecommunication Services: a Digital Business in an "Analogue" Environment?

2019 ◽  
Vol 2019 (6) ◽  
pp. 79-98
Author(s):  
Natalya Pavlova ◽  
Andrey Shastitko ◽  
Karina Ionkina
Keyword(s):  
Mobile Network ◽  
Telecommunications Industry ◽  
Mobile Services ◽  
Fixed Costs ◽  
Telecommunication Services ◽  
Market Participants ◽  
Economic Framework ◽  
Antitrust Legislation ◽  
Abuse Of Dominant Position ◽  
Mobile Network Operators

The article analyses the economic aspects of the application of antitrust legislation in the context of abuse of dominant position prohibition (primarily in the form of setting excessive prices) in industries that are characterized by a complexity of services both on the production side and on the demand side. Evidence from several recent antitrust cases against mobile network operators in Russia has shown that the analysis of prices for individual mobile services is incorrect outside the context of complex pricing under high joint fixed costs. The aim of this article is to explain the economic basis for changing the tariffs of telecommunication services in terms of antitrust legislation requirements. The article presents a direction for assessing the state of competition and the corresponding behavior of market participants (for example, attributes of determining excessive prices) taking into account the characteristics of the telecommunications industry, specially, the mobile services industry. Moreover, it is shown that mobile services exhibit the effects of active competition: a high quality of communication, high rates of innovative activity in the industry as a whole, as well as low prices.

scholarly journals Using blockchain to build trusted LoRaWAN sharing server

2017 ◽  
Vol 1 (3) ◽  
pp. 270-280 ◽  
Author(s):  
Jun Lin ◽  
Zhiqi Shen ◽  
Chunyan Miao ◽  
Siyuan Liu
Keyword(s):  
Mobile Network ◽  
Wide Area ◽  
Architecture Design ◽  
Network Coverage ◽  
Private Companies ◽  
Content Type ◽  
Blockchain Technology ◽  
Private Network ◽  
Mobile Network Operators ◽  
The Internet Of Things

Purpose With the rapid growth of the Internet of Things (IoT) market and requirement, low power wide area (LPWA) technologies have become popular. In various LPWA technologies, Narrow Band IoT (NB-IoT) and long range (LoRa) are two main leading competitive technologies. Compared with NB-IoT networks, which are mainly built and managed by mobile network operators, LoRa wide area networks (LoRaWAN) are mainly operated by private companies or organizations, which suggests two issues: trust of the private network operators and lack of network coverage. This study aims to propose a conceptual architecture design of a blockchain built-in solution for LoRaWAN network servers to solve these two issues for LoRaWAN IoT solution. Design/methodology/approach The study proposed modeling, model analysis and architecture design. Findings The proposed solution uses the blockchain technology to build an open, trusted, decentralized and tamper-proof system, which provides the indisputable mechanism to verify that the data of a transaction has existed at a specific time in the network. Originality/value To the best of our knowledge, this is the first work that integrates blockchain technology and LoRaWAN IoT technology.

scholarly journals On the Use of Composite Indicators for Mobile Communications Network Management in Smart Sustainable Cities

2020 ◽  
Vol 11 (1) ◽  
pp. 181
Author(s):  
Carmen Botella-Mascarell ◽  
Joaquin Perez ◽  
Juan Soria ◽  
Sandra Roger
Keyword(s):  
Network Management ◽  
Communication Networks ◽  
Mobile Communications ◽  
Performance Indicators ◽  
Data Science ◽  
Mobile Network ◽  
Key Performance Indicators ◽  
Composite Indicators ◽  
Use Case ◽  
Universal Mobile Telecommunications System

Beyond 5G networks will be fundamental towards enabling sustainable mobile communication networks. One of the most challenging scenarios will be met in ultra-dense networks that are deployed in densely populated areas. In this particular case, mobile network operators should benefit from new assessment metrics and data science tools to ensure an effective management of their networks. In fact, incorporating architectures allowing a cognitive network management framework could simplify processes and enhance the network’s performance. In this paper, we propose the use of composite indicators based on key performance indicators both as a tool for a cognitive management of mobile communications networks, as well as a metric which could successfully integrate more advanced user-centric measurements. Composite indicators can successfully synthesize and integrate large amounts of data, incorporating in a single index different metrics selected as triggers for autonomous decisions. The paper motivates and describes the use of this methodology, which is applied successfully in other areas with the aim of ranking metrics to simplify complex realities. A use case that is based on a universal mobile telecommunications system network is analyzed, due to technology simplicity and scalability, as well as the availability of key performance indicators. The use case focuses on analyzing the fairness of a network over different coverage areas as a fundamental metric in the operation and management of the networks. To this end, several ranking and visualization strategies are presented, providing examples of how to extract insights from the proposed composite indicator.

scholarly journals Urban Air Mobility—A 6G Use Case?

2021 ◽  
Vol 2 ◽  
Author(s):  
Shuja Ansari ◽  
Ahmad Taha ◽  
Kia Dashtipour ◽  
Yusuf Sambo ◽  
Qammer H. Abbasi ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Performance Indicators ◽  
Mobile Network ◽  
Key Performance Indicators ◽  
Network Capacity ◽  
Base Station ◽  
Transport Systems ◽  
Urban Air ◽  
Aerial Vehicles ◽  
Aerial Transport

The increasing popularity of Unmanned Aerial Vehicles (UAV) has resulted in exponential growth of the market owing to numerous applications that have been facilitated by advances in battery technology and wireless communications. Given the successes of UAVs thus far, researchers are already gearing towards aerial transport systems that consist of dense deployment of both UAVs and Personal Aerial Vehicles (PAVs) with human passengers. Although the fifth-generation mobile network (5G) key performance indicators have been optimised to support drone use cases for both high data rates and low latency applications, future aerial transport systems will require stricter network key performance indicators to support the expected massive deployment of aerial vehicles taking into account network capacity and distance between the base station and the aerial vehicles, among others. In this article, we present our perspective, vision, architecture, requirements and key performance indicators for future aerial wireless networks supported by 6G for Urban Air Mobility (UAM). Furthermore, we review key enabling technologies and discuss future challenges for incorporating aerial wireless networks in 6G.

Mobile Services in the UK

2011 ◽  
pp. 178-193
Author(s):  
Jarkko Vesa
Keyword(s):  
Mobile Network ◽  
Mobile Services ◽  
Mobile Telephony ◽  
Number Portability ◽  
Specific Regulation ◽  
The Uk ◽  
Telecom Sector ◽  
The Guardian ◽  
Mobile Network Operators ◽  
Mobile Market

On New Year’s Day 1985, Ernie Wise made Britain’s first cellphone call. Now, less than two decades later, most people in this country have a mobile and every sixth person in the world owns one. They have launched revolutions, saved lives, destroyed relationships and, of course, spawned a whole new genre of utterly pointless communication. (The Guardian, November 11, 2002) The UK mobile market is one of the most advanced — if not the most advanced — mobile market in Europe. This is understandable when keeping in mind the long tradition of wireless communications in the country already in the analog era of mobile telephony. The UK was also among the first countries in Europe to open up the competition for mobile services, and to implement mobile number portability, which was introduced in early 1999 (Oftel, 2001). Mobile telephony services are also widely adopted in the UK. According to official statistics, more than 70 percent of the population used mobile phones in 2002. However, according to more recent estimates, mobile phone penetration is almost 100 percent in the UK (M-Commerce Chasm, Sept 27, 2004, p. 1). The competition in the UK is extremely intense as the five mobile operators (Vodafone, Orange, T-Mobile, mmO2, and the 3G-only operator Hutchison Whampoa) are trying to attract both new customers and to entice customers away from their current operators (Olla and Patel, 2002). Even Oftel, the regulatory authority in the UK, decided to remove the last remaining mobile telecom sector specific regulation in fall 2003, as there was no longer a need for regulation to promote competition in the mobile market: Consumers (due to the intensifying competition) got increasingly better deals and none of the five mobile network operators had significant market power in the UK market. Therefore, Octel removed the restrictions that were imposed on Vodafone and O2 to provide interconnection services (http://www.cellular.co.za, October 15, 2003).

scholarly journals On the evolution of infrastructure sharing in mobile networks: A survey

2020 ◽  
Vol 1 (1) ◽  
pp. 141-157
Author(s):  
Brunilde Sanso ◽  
Lorela Cano ◽  
Antonio Capone
Keyword(s):  
Mobile Networks ◽  
Spectrum Sharing ◽  
Network Virtualization ◽  
Mobile Network ◽  
Research Topic ◽  
5G Networks ◽  
Wireless Network Virtualization ◽  
Key Driver ◽  
Mobile Network Operators ◽  
Over Time

Infrastructure sharing for mobile networks has been a prolific research topic for more than three decades now. The key driver for Mobile Network Operators to share their network infrastructure is cost reduction. Spectrum sharing is often studied alongside infrastructure sharing although on its own it is a vast research topic outside the scope of this survey. Instead, in this survey we aim to provide a complete picture of infrastructure sharing both over time and in terms of research branches that have stemmed from it such as performance evaluation, resource management etc. We also put an emphasis on the relation between infrastructure sharing and the decoupling of infrastructure from services, wireless network virtualization and multi-tenancy in 5G networks. Such a relation reflects the evolution of infrastructure sharing over time and how it has become a commercial reality in the context of 5G.

Market Configuration and the Success of Mobile Services

2009 ◽  
pp. 696-711
Author(s):  
Jarkko Vesa
Keyword(s):  
Comparative Analysis ◽  
Mobile Network ◽  
Analytical Framework ◽  
Mobile Services ◽  
Industry Evolution ◽  
Data Services ◽  
Mobile Industry ◽  
The Uk ◽  
Mobile Network Operators

This chapter introduces a novel analytical framework called Mobile Services Matrix (MOSIM), which is used as the basis of a comparative analysis between the Japanese and the Finnish mobile services markets. The results indicate that as the mobile industry shifts from highly standardized voice services towards more complex mobile data services, the vertical/integrated market configuration (i.e., the Japanese model) appears to be more successful than the horizontal/modular configuration (i.e., the Finnish model). A brief overview of the UK market shows that the leading UK mobile network operators are transforming the industry towards a more vertical, operator-driven market configuration. The role of national regulatory framework in this industry evolution process is discussed.

Market Configuration and the Success of Mobile Services

2011 ◽  
pp. 253-269
Author(s):  
Jarkko Vesa
Keyword(s):  
Comparative Analysis ◽  
Mobile Network ◽  
Analytical Framework ◽  
Mobile Services ◽  
Industry Evolution ◽  
Data Services ◽  
Mobile Industry ◽  
The Uk ◽  
Mobile Network Operators

This chapter introduces a novel analytical framework called Mobile Services Matrix (MOSIM), which is used as the basis of a comparative analysis between the Japanese and the Finnish mobile services markets. The results indicate that as the mobile industry shifts from highly standardized voice services towards more complex mobile data services, the vertical/integrated market configuration (i.e., the Japanese model) appears to be more successful than the horizontal/modular configuration (i.e., the Finnish model). A brief overview of the UK market shows that the leading UK mobile network operators are transforming the industry towards a more vertical, operator-driven market configuration. The role of national regulatory framework in this industry evolution process is discussed.

scholarly journals Maintaining Mobile Network Coverage Availability in Disturbance Scenarios

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Joonas Säe ◽  
Jukka Lempiäinen
Keyword(s):  
Cellular Networks ◽  
Mobile Networks ◽  
Mobile Network ◽  
Service Level ◽  
Network Coverage ◽  
Energy Usage ◽  
Network Availability ◽  
Simulation Results ◽  
Normal Utilization

Disturbance and disaster scenarios prevent the normal utilization of mobile networks. The aim of this study is to maintain the availability of cellular networks in disturbance scenarios. In order to extend the disaster time functionality, energy usage optimization is needed to maintain reasonable coverage and capacity. Simulations performed with different network layouts show the effects of choosing only a portion of evolved node B (eNB) macrosites to operate at a time. Different sets of three to nine three-sectored eNB sites are selected to study how the network would perform with a limited number of eNB sites. Simulation results show how the mobile network availability duration can be sustained by selecting a set of eNB sites to operate at a time and still maintain a reasonable service level and availability in disturbance scenarios. An increase of 100% to 500% can be achieved in the duration of “backup coverage” in cellular networks with backup batteries when the percentage of active eNB sites is reduced down to 20%.

scholarly journals Enabling Intelligence in Spectrum Sharing

2022 ◽  
Author(s):  
Chi-Jen Wu
Keyword(s):  
Mobile Networks ◽  
Network Architecture ◽  
Spectrum Sharing ◽  
Mobile Network ◽  
Radio Spectrum ◽  
Disruptive Innovation ◽  
Infrastructure Development ◽  
Network Operator ◽  
Mobile Network Operator ◽  
Mobile Network Operators

We argue that the capital expenditures made by an individual mobile network operator is extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current architecture of mobile networks and needs to be rethought. We propose that the goal for a disruptive innovation, in the future mobile network architecture, that shall be able to free mobile network operators from having to hold spectrum licenses and natively enable intelligent radio spectrum sharing among multiple mobile network operators. On the basis of the design principles, the duty of a single mobile network operator is split into two roles, one focuses on infrastructure development, the other only contains authorizations on the radio spectrum usage. We introduce a new role to the mobile network architecture, named Spectrum Trader, is a primary broker for spectrum trading, and it is used to coordinate with the demand-side requests and the supply-side resources to drive demand in a \emph{real-time bidding} manner. We also introduce a spectrum embedding technique that shall enable efficient and intelligent spectrum allocation by recommending the right spectrum bands based on user scenario. Finally, several significant challenges that need to be addressed in practical deployment are investigated.

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