Analysis and simulation of Radio Resource Management for Quality of Service in Universal Mobile Telecommunications System

Fernández, Eduardo Avendaño; Garzon, Hector Fernando

doi:10.1109/andescon.2010.5632566

Cited by 1 publication

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“…Ref. [21] uses OPNET to simulate multimedia applications in UMTS systems, specifically on RRM. The key RRM techniques, such as power control, handover, and load balancing are supported.…”

Section: Introductionmentioning

confidence: 99%

A Mass-Processing Simulation Framework for Resource Management in Dense 5G-IoT Scenarios

2018

KSII TIIS

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Because of the increment in network scale and test expenditure, simulators gradually become main tools for research on key problems of wireless networking, such as radio resource management (RRM) techniques. However, existing simulators are generally event-driven, causing unacceptably large simulation time owing to the tremendous number of events handled during a simulation. In this article, a mass-processing framework for RRM simulations is proposed for the scenarios with a massive amount of terminals of Internet of Things accessing 5G communication systems, which divides the time axis into RRM periods and each period into a number of mini-slots. Transmissions within the coverage of each access point are arranged into mini-slots based on the simulated RRM schemes, and mini-slots are almost fully occupied in dense scenarios. Because the sizes of matrices during this process are only decided by the fixed number of mini-slots in a period, the time expended for performance calculation is not affected by the number of terminals or packets. Therefore, by avoiding the event-driven process, the proposal can simulate dense scenarios in a quite limited time. By comparing with a classical event-driven simulator, NS2, we show the significant merits of our proposal on low time and memory costs.

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“…Ref. [21] uses OPNET to simulate multimedia applications in UMTS systems, specifically on RRM. The key RRM techniques, such as power control, handover, and load balancing are supported.…”

Section: Introductionmentioning

confidence: 99%

A Mass-Processing Simulation Framework for Resource Management in Dense 5G-IoT Scenarios

2018

KSII TIIS

View full text Add to dashboard Cite

show abstract

Analysis and simulation of Radio Resource Management for Quality of Service in Universal Mobile Telecommunications System

Cited by 1 publication

References 5 publications

A Mass-Processing Simulation Framework for Resource Management in Dense 5G-IoT Scenarios

A Mass-Processing Simulation Framework for Resource Management in Dense 5G-IoT Scenarios

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