Dynamic UMTS Simulator for Congestion Studies and Evaluation of Resource Management Techniques

Nousiainen, Sami; Kordybach, Krzysztof; Kemppi, Paul; Kröger, Veli-Pekka

doi:10.1007/978-0-387-35618-1_19

Cited by 5 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically, users are distributed based on the buildings located in the area, and the attractiveness of certain places with respect to the others. The literature contains many models [7], [8] able to express the spatial distribution of users in various kinds of areas, spanning from commercial and residential complex to university and school campuses. For a first evaluation of our approach however, we have used a uniform distribution of users.…”

Section: System Modelmentioning

confidence: 99%

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios

Esposito

Rizzo

2022

2022 IEEE 19th Annual Consumer Communications &Amp; Networking Conference (CCNC)

View full text Add to dashboard Cite

Natural and man-made disasters have often consequences on service availability in a wireless access network, provoking a progressively degraded performance or even the lack of connectivity. However, given the growing importance of situation awareness, telehealth, and advanced rescue teams coordination services for the affected population, it is key to restore these services in a timely fashion, while guaranteeing the required QoS levels. To this end, UAV-mounted base stations have been recently proposed as a key instrument to achieve this goal. Nonetheless, this gives rise to the key issue of how to deploy them in a resource efficient manner, in a post-disaster context typically characterized by lack of infrastructure support and of power supply. In this work, we tackle the issue of how to jointly optimize drones deployment and user association in a QOS aware manner to efficiently cater for coverage holes and QoS degradation in a cellular network after a disaster. We formulate a network optimization problem, and we provide a two-step genetic algorithm which iteratively tunes UAV position, base station transmit power and user association in order to minimize the number of employed drones. Initial results on a realistic measurement based scenario show that our approach is able to effectively minimize the number of deployed drones while achieving a target minimum QoS.

show abstract

Section: System Modelmentioning

confidence: 99%

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios

Esposito

Rizzo

2022

2022 IEEE 19th Annual Consumer Communications &Amp; Networking Conference (CCNC)

View full text Add to dashboard Cite

show abstract

“…Now, if we calculate the formula (5) including the outage interference then the own interference caused by the effective users can be expressed as presented in the formula (8). The n good represents the number of the effective users in the cell.…”

Section: Capacity Limitationsmentioning

confidence: 99%

Lost Capacity of the UMTS Radio Access Network

Kordybach

Nousiainen

2006

Wireless Pers Commun

Self Cite

View full text Add to dashboard Cite

The theoretical capacity models for the downlink and the uplink of the UMTS radio access network have been researched ever since the UMTS started to be considered. However, they were often based on idealistic assumptions and addressed a static situation. Because of that results were too optimistic. Real networks are not that ideal, as some model suggested. The source of the non-ideality are dynamically changing network properties that are not taken into account in the static models. We explain how those dynamic processes can influence system performance, we define the ineffective load and we update the models to take it into account. The models are supported by simulation results to help comprehend the presented problem. Furthermore, a possible method to estimate such outage in a real network is proposed and ways to minimize the negative impact of the outage discussed.

show abstract

Radio resource management in WCDMA-based networks in emergency situations

Kordybach

Nousiainen

2003

Providing Quality of Service in Heterogeneous Environments, Proceedings of the 18th International Teletraffic Congress - ITC-18

View full text Add to dashboard Cite

Dynamic UMTS Simulator for Congestion Studies and Evaluation of Resource Management Techniques

Cited by 5 publications

References 5 publications

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios

Lost Capacity of the UMTS Radio Access Network

Radio resource management in WCDMA-based networks in emergency situations

Contact Info

Product

Resources

About