Taking advantage of the diversity in wireless access networks: On the simulation of a user centric approach

Cherkaoui, El Hadi; Agoulmine, Nazim; Nguyen, Thinh; Toni, Laura; Fontaine, Jean‐Guy

doi:10.1109/inm.2011.5990516

Cited by 6 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be seen that the proposed weighted multiplicative utility form in Proposition 5.1 can be eventually used to properly model the user acceptance probability. Hence, we have: (27) As demonstrated in the proof of Proposition 5.1, this weighted multiplicative aggregate form fully satisfies the conditions (24), (25) and (26).…”

Section: Proposed Multi-criteria Utility Functionmentioning

confidence: 65%

“…For sake of brevity, we remind the reader to [26] and [27] for a complete state-of-the-art on single criterion utility functions and their main characteristics. Here, we provide the key concepts as well as the identified properties which are required in the area of network selection.…”

Section: A New Single-criterion Utility Requirementsmentioning

confidence: 99%

“…When the multiplicative utility function proposed in (27) is considered, the users preferences are taken into account in the acceptance probability estimation as follows…”

Section: A Parameters Of the Scenariomentioning

confidence: 99%

See 2 more Smart Citations

Multicriteria Optimization of Access Selection to Improve the Quality of Experience in Heterogeneous Wireless Access Networks

Nguyen-Vuong

Agoulmine

Cherkaoui

et al. 2013

IEEE Trans. Veh. Technol.

Self Cite

View full text Add to dashboard Cite

Abstract-Wireless technology is one of the revolutionary advancements providing users with ubiquitous data and telephony access anywhere and anytime without any physical connection. The nowadays deployed wireless networks named WiFi, Worldwide Interoperability for Microwave Access (WiMAX), Universal Mobile Telecommunications Systems (UMTS) and Long Term Evolution systems (LTE) have different characteristics that make them complementary in term of performance, coverage and cost. This network variety presents an opportunity to provide better services to the end-users given the advances in mobile terminals. To reach this goal, an appropriate automatic network selection (ANS) mechanism, able to always select the best access network, is needed. This consists on constantly monitoring any type of available access networks, automatically selecting and switching to the best one, as the network that maximizes the users quality of experience taking into account their preferences as well as the terminal and network conditions. ANS is a multi dimension decision-making problem which can be solved by finding an appropriate complex trade-off between possibly conflicting criteria. In this paper, we propose an analytical model to capture the preferences of end-users. Based on this model, we design an ANS mechanism that takes into account all aspects of the trade-off between the quality of the connections, the preferences of the end users and the cost. To highlight the benefits of our approach from the perspectives of both end-users and network operator, we have implemented and tested the solution in a multi technologies simulator. Results show that the proposed solution outperforms the main stream approaches.

show abstract

Section: Proposed Multi-criteria Utility Functionmentioning

confidence: 65%

Section: A New Single-criterion Utility Requirementsmentioning

confidence: 99%

See 1 more Smart Citation

Multicriteria Optimization of Access Selection to Improve the Quality of Experience in Heterogeneous Wireless Access Networks

Nguyen-Vuong

Agoulmine

Cherkaoui

et al. 2013

IEEE Trans. Veh. Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The elementary part of the utility function is a single criterion function. Different types of single criterion utility functions have been used in the literature [2][3][4] for network classification. These include linear, quadratic, exponential and sigmoidal utility functions.…”

mentioning

confidence: 99%

“…Proposition 1: For a given multi-criteria parameter vector x and a preference vector w, let U a (x) be the aggregate additive function as defined in (3) and U p (x) be the aggregate multiplicative function as defined in (4). Then a suitable aggregate utility function can be expressed as…”

mentioning

confidence: 99%

Exponential utility function based criteria for network selection in heterogeneous wireless networks

2018

View full text Add to dashboard Cite

A new utility function-based framework is proposed for network selection that utilises exponential functions and is monotonically related to a function of the average of additive and multiplicative utility functions. This means that an intermediate solution has been identified that not only includes inter-dependencies of performance criteria but also reduces the network elimination. Numerical results compare the performance of the existing and proposed utility functions and it can be seen that the proposed utility function is a good choice for network selection.

show abstract

Follow-Us: A Distributed Ubiquitous Healthcare System Simulated by MannaSim

Ghizoni

Santos

Ruiz

2012

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Taking advantage of the diversity in wireless access networks: On the simulation of a user centric approach

Cited by 6 publications

References 19 publications

Multicriteria Optimization of Access Selection to Improve the Quality of Experience in Heterogeneous Wireless Access Networks

Multicriteria Optimization of Access Selection to Improve the Quality of Experience in Heterogeneous Wireless Access Networks

Exponential utility function based criteria for network selection in heterogeneous wireless networks

Follow-Us: A Distributed Ubiquitous Healthcare System Simulated by MannaSim

Contact Info

Product

Resources

About