The Wireless Network Positioning Strategies Basing on Mobile Terminal

2012 ◽  
Vol 546-547 ◽  
pp. 1124-1129
Author(s):  
Lei Xu ◽  
Yu Feng Zhang ◽  
Jian Guo ◽  
Lian Gao
Keyword(s):  
Implementation Strategies ◽  
Value Added ◽  
Mobile Terminal ◽  
Base Station ◽  
Location Based Services ◽  
Radio Communication ◽  
Cellular Radio ◽  
Wireless Data ◽  
Location Services ◽  
Code Division Multiple

With the continuous development of terminal technologies, the use of mobile terminals is becoming more and more diverse. Many value-added services brought by such applications gradually become to be the firm's new profit opportunity. The location itself has great value; with the display of electronic map or with the support of geographic information database, a variety of information can be shown, tracked and handled. Such location-based services (LBS) is widely used in the field of public wireless data, and mobile location services is recognized as the most attractive wireless data value-added business in 3G network. This paper discusses three positioning standards of the 3GPP first; and then combined with the existing GSM/GPRS cellular radio communication network, it mainly gives specific positioning implementation strategies of single base station in the TD-SCDMA (Time Division Synchronous Code Division Multiple Access) system.

Location Based Services

2011 ◽  
pp. 51-66 ◽  
Author(s):  
Kirk Mitchell ◽  
Mark Whitmore
Keyword(s):  
Return On Investment ◽  
Location Based Services ◽  
Multiple Sources ◽  
Wireless Data ◽  
Holistic View ◽  
Location Services ◽  
User Behaviour ◽  
Data Services ◽  
Future Success ◽  
Different Content

Location based services (LBS) are considered by some to be the ‘golden child” of wireless data services and one of the few areas where users would be willing to pay a premium for usage. Mobile Operators however are yet to be convinced, and despite acknowledging location services as strategic, have not considered it a priority. Recent LBS deployments however focusing on a holistic view of user behaviour are showing positive signs of success. These deployments focus on providing services that integrate different content from multiple sources to provide users with a coherent and logically connected flow of application options. These applications are called “Find it, Route it, Share it & Buy it. Importantly this model maximises return on investment (ROI) by motivating user to undertake multiple transactions. The challenge for those within the LBS industry is to convince mobile operators that LBS is viable and can deliver a strong ROI. Indeed, the future success of LBS is as much dependant on locating the money as it is about locating the subscribers.

scholarly journals Location-Based Services

2011 ◽  
pp. 268-278 ◽  
Author(s):  
Joe Astroth
Keyword(s):  
Market Potential ◽  
Location Based Services ◽  
Wireless Data ◽  
Location Services ◽  
Key Technology ◽  
Data Services ◽  
Successful Model ◽  
Revenue Models ◽  
Insight Into

This chapter provides an overview of location-based services and insight into the pivotal importance of location-sensitivity to the success of wireless data services. This chapter argues that mass-market adoption of wireless data services will only occur if these services enhance productivity and/or convenience for end-users; transforming novelty into a “must-have.” It is the author’s view that m-commerce is inextricably linked to location and that the incorporation of location-sensitivity will transform these transactions into a relevant, personalized and actionable experience for the user, thereby encouraging the kind of uptake required to fulfill market potential and bring revenue to carriers. The author will provide examples of location-sensitive wireless data servces in consumer and enterprise environments. A specific case study showcasing a next generation solution jointly developed by TargaSys, a division of Fiat Auto and Autodesk Location Services will describe key elements of a successful model for location-based services. Future directions, revenue models, and key technology enablers for successful deployment will also be discussed.

Analysis and Simulation of Mobile Terminal Dual-Unit Smart Antenna

2012 ◽  
Vol 195-196 ◽  
pp. 673-677
Author(s):  
Yuan Li ◽  
Li An Bian ◽  
Jia Go
Keyword(s):  
Smart Antenna ◽  
Mobile Terminal ◽  
Antenna System ◽  
Performance Simulation ◽  
Limited Frequency ◽  
Set Up ◽  
Code Division Multiple ◽  
Time Division ◽  
Link Level Simulation ◽  
Moving Speed

In this paper, we set up the model of downlink for Time Division synchronous Code Division Multiple Access (TD-SCDMA), and present link level simulation to TD-SCDMA mobile terminal smart antenna system. By carrying on performance simulation in system bit error rate between dual-unit antenna and single-unit antenna, we can validate the advantage of dual-unit smart antenna. Besides, we analysis the mobile terminal smart antenna may influenced by many factors, such as distance of two antenna, moving speed, the number of multi-path and user and so on, solve the contradiction between miniaturization of mobile terminal smart antenna and independence between antenna, and provide a valuable design reference to commercialize the limited frequency spectrum resource.

scholarly journals Predictive Algorithm for Handover Decisions between LTE and LTE-A Networks

2021 ◽  
Vol 9 (4) ◽  
pp. 110-126
Author(s):  
Wafa Benaatou ◽  
Adnane Latif ◽  
Vicent Pla
Keyword(s):  
Power Consumption ◽  
Mean Square Error ◽  
Fuzzy Inference ◽  
Hybrid Approach ◽  
Mobile Terminal ◽  
Base Station ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Statistical Parameters ◽  
Inference System

A heterogeneous wireless network needs to maintain seamless mobility and service continuity; for this reason, we have proposed an approach based on the combination of particle swarm optimization (PSO) and an adaptive neuro-fuzzy inference system (ANFIS) to forecast a handover during a movement of a mobile terminal from a serving base station to target base station. Additionally, the handover decision is made by considering several parameters, such as peak data rate, latency, packet loss, and power consumption, to select the best network for handover from an LTE to an LTE-A network. The performance efficiency of the new hybrid approach is determined by computing different statistical parameters, such as root mean square error (RMSE), coefficient of determination (R2), mean square error (MSE), and error standard deviation (StD). The execution of the proposed approach has been performed using MATLAB software. The simulation results show that the hybrid PSO-ANFIS model has better performance than other approaches in terms of prediction accuracy and reduction of handover latency and the power consumption in the network.  

scholarly journals Performance of Base Stations in Railway Digital Radio Communication Networks

2021 ◽  
Vol 19 (2) ◽  
pp. 41-48
Author(s):  
Yu. V. Nemtsov ◽  
I. V. Seryogin ◽  
P. I. Volnov
Keyword(s):  
Communication Network ◽  
Communication Networks ◽  
Base Station ◽  
Base Stations ◽  
Radio Communication ◽  
Radio Communications ◽  
Digital Radio ◽  
Cargo Transportation ◽  
Assess Quality

Base station (BS) is a terminal device of a radio communication network, while railway radio communications play an important role in ensuring safety of passenger and cargo transportation.A proposed method for calculating the performance of base stations in railway digital radio communication networks is intended to calculate for the BS the probabilities of being in certain state.BS was decomposed and such functional elements as circuit groups and a radio frequency path were identified, as well as the central module ensuring the exchange of information with elements of this BS and with other BSs. A detailed study of each element has increased accuracy of the proposed method. Following the Markov model, BS is presented as a system in which all possible states are considered. Models for BS with two and three circuit groups have been constructed. The parameters of each functional element of the model can be obtained through observation over a certain period. The solution of the system of equations for each of the models presented in the article will allow obtaining the values of the system being in a certain state. The obtained characteristics can be used to calculate the reliability of the entire radio communication network, and then to assess quality of service provided to the users of this network.Conclusions are made about the possibilities of using the obtained models when designing new railway communication networks and when calculating quality indices of existing ones. The proposed models can be applied not only to railway radio communication networks but also to mobile communication networks of commercial operators. 

Known by the Network

2003 ◽  
pp. 171-189 ◽  
Author(s):  
Stuart James Barnes
Keyword(s):  
Value Added ◽  
Mobile Network ◽  
Location Based Services ◽  
Strategic Issues ◽  
Data Services ◽  
Asset Tracking ◽  
The Media ◽  
Revenue Streams ◽  
Mobile Network Operators

The use of mobile telecommunications devices for commercial transactions, coined mobile (m-) commerce, has been an emerging trend since the late 1990s. As the phenomenal growth of the Internet and mobile devices has continued unabated, the inevitable convergence of these two streams of technologies has occurred, promising a plethora of mobile data services to the handset user. Although these services have been considerably hyped in the media, and adoption has been somewhat patchy and limited, it does signal the emergence of a range of innovative value added services. With further developments in technology and markets, further services will appear, bringing new revenue streams. One potential area of m-commerce development is in location-based services (LBS). LBS are heralded as the next major class of value added services that mobile network operators can offer their customers. Using a range of network- and handset-based positioning techniques, operators will be able to offer entirely new services and improvements on current ones. Popular examples cited include emergency caller location, people or asset tracking, navigation, location-based information, or geographically sensitive billing. The purpose of this chapter is to examine the technologies, applications and strategic issues associated with the commercialisation of LBS. The chapter concludes with some predictions on the role of LBS in m-commerce.

Towards a Classification Framework for Mobile Location Based Services

2011 ◽  
pp. 67-85 ◽  
Author(s):  
George M. Giaglis ◽  
Panos Kourouthanassis ◽  
Argiros Tsamakos
Keyword(s):  
Business Models ◽  
New Technologies ◽  
Geographical Location ◽  
Mobile User ◽  
Location Based Services ◽  
Location Services ◽  
Mobile Location ◽  
Classification Framework ◽  
Future Potential ◽  
Pricing Schemes

The emerging world of mobile commerce is characterized by a multiplicity of exciting new technologies, applications, and services. Among the most promising ones will be the ability to identify the exact geographical location of a mobile user at any time. This ability opens the door to a new world of innovative services, which are commonly referred to as Mobile Location Services (MLS). This chapter aims at exploring the fascinating world of MLS, identifying the most pertinent issues that will determine its future potential, and laying down the foundation of a new field of research and practice. The contribution of our analysis is encapsulated into a novel classification of mobile location services that can serve both as an analytical toolkit and an actionable framework that systemizes our understanding of MLS applications, underlying technologies, business models, and pricing schemes.

The Socio-Ethical Considerations Surrounding Government Mandated Location-Based Services during Emergencies

2011 ◽  
pp. 129-154 ◽  
Author(s):  
Anas Aloudat ◽  
Katina Michael
Keyword(s):  
Emergency Management ◽  
National Security ◽  
Mobile Applications ◽  
Location Based Services ◽  
Mobile Technologies ◽  
Australian Government ◽  
Ethical Considerations ◽  
Location Services

The adoption of mobile technologies for emergency management has the capacity to save lives. In Australia in February 2009, the Victorian bushfires claimed 173 lives, the worst peace-time disaster in the nation’s history. The Australian government responded swiftly to the tragedy by going to tender for mobile applications that could be used during emergencies, such as mobile alerts and location services. These applications have the ability to deliver personalized information direct to the citizen during crises, complementing traditional broadcasting mediums like television and radio. Indeed governments have a responsibility to their citizens to safeguard them against both natural and human-made hazards, and today, national security has grown to encapsulate such societal and economic securitization. However, some citizens and lobby groups have emphasized that such breakthrough technologies need to be deployed with caution as they are fraught with ethical considerations, including the potential for breaches in privacy, security, and trust.

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