Mobility prediction in wireless cellular networks for the optimization of Call Admission Control schemes

Fazio, Peppino; Tropea, Mauro; Sottile, Cesare; Marano, S.; Vozňák, Miroslav; Strangis, Francesco

doi:10.1109/ccece.2014.6900981

Cited by 24 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The third route of research focuses on the development of an opportunistic CAC algorithm [10], which is based on an optimization problem. In [11], [12], dynamic resource reservation has been proposed. The fifth technique is based on resource scheduling schemes [13], [14].…”

Section: Design Of Elastic Call Admission Control In Tidal Load Scena...mentioning

confidence: 99%

Design of Elastic Call Admission Control in Tidal Load Scenario for Cloud-based Cellular Networks

Mahmood

Kareem

Nasser

2022

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

Cellular networks have witnessed an unprecedented expansion represented by the number of subscribers in addition to the unlimited number of applications. In the era of IoT, connections may involve machines working side by side with humans on the same network. Tidal load is one of the key challenges in mobile networks, which represents a temporary phenomenon resulting from increasing traffic volumes at certain times of the day in particular places. This leads to the problem of overutilization of some base stations, particularly in fixed resources allocation systems such as 4G LTE architecture, which contains physically separated base stations. This results in increasing the dropping and blocking probability for the incoming calls in an overloaded area, while others suffer from underutilization or might be almost idle for a particular time. In this paper, an Elastic Call Admission Control (ECAC) approach is proposed to reduce the probability of blocking and dropping to improve the network performance in the tidal load scenario. This is achieved using the concept of gain multiplexing technique and cloud-based cellular architecture for utilizing the shared available recourses of the co-located virtual base stations in the cloud. A Fuzzy Type 2 (FT2) system is used to maintain the switching decision for resource sharing mode, the network load is predicted in advance using Gaussian Process Regression (GPR) model. Performance evaluation is carried out using the cloud-based Fog-Radio Access Network (F-RAN) platform. Compared to legacy LTE architecture, the results illustrate a noticeable enhancement in terms of minimizing blocking probability, enhancing overall network performance represented by network data throughput, and network utilization.

show abstract

Section: Design Of Elastic Call Admission Control In Tidal Load Scena...mentioning

confidence: 99%

Design of Elastic Call Admission Control in Tidal Load Scenario for Cloud-based Cellular Networks

Mahmood

Kareem

Nasser

2022

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

show abstract

“…Yet, this research only focused on guarantees the service continuity in wireless cellular networks. Authors in [38] also focused on mobility prediction for wireless cellular network, in optimizing the Call Admission Control (CAC) by proposed the In-advance Multiplexing Call Admission Control (IAM-CAC) scheme. This new CAC scheme based on threshold approach has been perform wells in terms of Call Blocking Probabilities/Call Dropping Probabilities.…”

Section: Intelligence Based Algorithmmentioning

confidence: 99%

Conceptual mobility model of vertical handover decision in heterogeneous networks

Arbain¹,

Kasiran²

2019

IJEECS

View full text Add to dashboard Cite

In heterogeneous network, maintaining seamless connectivity needs excessive efforts from various aspects such as network availability and mobile node reliability. Presently, a vertical handover management is a practical approach in facilitating the service continuity for mobile users. Many researches have been conducted in this area by considering performance improvement in delay, latency, and overhead. Preserving the Quality of Services (QoS) based on user mobility and pattern movement during handover decision has become an important aspect in vertical handover management. This paper presents the conceptual mobility model of vertical handover decision in heterogeneous network. Hence, several researches in vertical handover decision management has been reviewed regarding the issues on the vertical handover decision algorithms such as RSS Based Algorithm, MADM Based Algorithm and Intelligence Based Algorithm. This paper highlights the current decision algorithms that integrate the traditional methods with intelligence algorithm for better optimization. In decision parameters, the user mobility pattern can be importance in terms of direction randomness and mobility speed. Hence, a conceptual mobility-awareness model for vertical handover are been proposed in targeting some improvement of handover performance.

show abstract

“…The vehicles network aims to improve road safety, increase traffic efficiency and save energy giving also attention to the emission issues [ 8 , 9 ], and also different works focus their attention on mechanisms to warn dangerous or emergency situations by exploiting on-board sensors [ 10 ], for routing purposes [ 11 ] and also using predictive mechanism as in [ 12 , 13 ]. Incoming automatic driving applications are going to require even tighter level of precision and security in order to guarantee the high required standard.…”

Section: Introductionmentioning

confidence: 99%

A Proposal of a Troposphere Model in a GNSS Simulator for VANET Applications

Tropea

Arieta²,

Rango

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

Vehicle positioning is becoming an important issue related to Intelligent Transportation Systems (ITSs). Novel vehicles and autonomous vehicles need to be localized under different weather conditions and it is important to have a reliable positioning system to track vehicles. Satellite navigation systems can be a key technology in providing global coverage and providing localization services through many satellite constellations such as GPS, GLONASS, Galileo and so forth. However, the modeling of positioning and localization systems under different weather conditions is not a trivial objective especially considering different factors such as receiver sensitivity, dynamic weather conditions, propagation delay and so forth. This paper focuses on the use of simulators for performing different kinds of tests on Global Navigation Satellite System (GNSS) systems in order to reduce the cost of the positioning testing under different techniques or models. Simulation driven approach, combined with some specific hardware equipment such as receivers and transmitters can characterize a more realistic scenario and the simulation can consider other aspects that could be complex to really test. In this work, the main contribution is the introduction of the Troposphere Collins model in a GNSS simulator for VANET applications, the GPS-SDR-SIM software. The use of the Collins model in the simulator allows to improve the accuracy of the simulation experiments throughout the reduction of the receiver errors.

show abstract

Mobility prediction in wireless cellular networks for the optimization of Call Admission Control schemes

Cited by 24 publications

References 18 publications

Design of Elastic Call Admission Control in Tidal Load Scenario for Cloud-based Cellular Networks

Design of Elastic Call Admission Control in Tidal Load Scenario for Cloud-based Cellular Networks

Conceptual mobility model of vertical handover decision in heterogeneous networks

A Proposal of a Troposphere Model in a GNSS Simulator for VANET Applications

Contact Info

Product

Resources

About