Computationally-Efficient Design of a Dynamic System-Level LTE Simulator

Muñoz, Pablo; Bandera, Isabel de la; Ruiz, Francisco; Luna-Ramírez, Salvador; Barco, Raquel; Toril, M.; Lázaro, Pedro; Rodríguez, Jaime Cifuentes

doi:10.2478/v10177-011-0047-2

Cited by 27 publications

(16 citation statements)

References 13 publications

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“…The proposed method has been tested using a dynamic LTE system level simulator implemented in MATLAB based on the one presented in [33]. The simulator includes the main radio resource management functions for the downlink such as handover, cell selection, admission control, and packet scheduling.…”

Section: Resultsmentioning

confidence: 99%

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Fault compensation algorithm based on handover margins in LTE networks

de-la-Bandera

Barco

Muñoz

et al. 2016

J Wireless Com Network

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In the context of Self-Organizing Networks (SON), this paper presents a novel cell degradation compensation algorithm based on handover margin modifications. The fault considered in this paper is a weak coverage use case so that the faulty cell will be active during the compensation, but its power will be abnormally lower than it should. Unlike the extensively studied cell outage use case, in this case, the modification of the faulty cell's parameters can be considered as part of the compensation algorithm. In particular, this paper proposes to modify the handover margins for cell degradation compensation. To analyze the proposed algorithm, a set of simulations has been carried out using an LTE simulator with a realistic scenario. Results show that the proposed algorithm is able to improve the degradation caused by the fault with a low effect in the neighboring cells under different conditions.

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Section: Resultsmentioning

confidence: 99%

“…This function is described in detail in [30]. Unlike [33], the simulated scenario is composed of 75 tri-sectorized cells and corresponds to a real LTE network that is currently in use. Some configuration parameters (location, antenna azimuth and tilt angles, and HOM) have been obtained from this real network.…”

Section: Resultsmentioning

confidence: 99%

Fault compensation algorithm based on handover margins in LTE networks

de-la-Bandera

Barco

Muñoz

et al. 2016

J Wireless Com Network

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show abstract

“…As a conversational RT service, it is defined as a Guaranteed Bit Rate (GBR) service whose QCI value (=1) corresponds to the highest priority value for user data services [20]. In this work, the VoIP service is modeled as a data source generating packets of 20 bytes every 10 ms, with a bit rate of 16 kbps [33]. A call dropping model is also included, where a VoIP call is terminated when a user does not receive enough resources during one consecutive second.…”

Section: Service Modelsmentioning

confidence: 99%

“…In the absence of an analytical model or a live LTE system, performance assessment is done in a dynamic systemlevel LTE simulator [33]. The considered macrocellular scenario, shown in Fig.…”

Section: Analysis Setupmentioning

confidence: 99%

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Self-tuning of scheduling parameters for balancing the quality of experience among services in LTE

Oliver-Balsalobre

Toril

Luna-Ramírez

et al. 2016

J Wireless Com Network

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Improving the Quality of Experience (QoE) offered to subscribers has become a major issue for mobile network operators. In this paper, a self-tuning algorithm for adjusting parameters in a multi-service packet scheduler of a radio base station based on network statistics is proposed to balance QoE across services in Long Term Evolution (LTE). The aim of the algorithm is to ensure that all users achieve the same average QoE regardless of the type of service. For this purpose, the proposed heuristic algorithm iteratively changes service priority parameters to re-prioritize services so that those services with the lowest QoE increase their priority. Unlike previous approaches, the proposed algorithm takes QoE (and not Quality of Service) into account. Method assessment is carried out in a dynamic system-level LTE simulator. Simulation results in a typical scenario show that tuning service priority parameters can significantly increase the QoE of the worst service without affecting the overall network QoE.

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Link abstraction models for multicarrier systems: A logistic regression approach

Mesa

Aguayo-Torres

Martín-Vega

et al. 2017

Int J Communication

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SummaryEvaluation of complex wireless systems through simulations is commonly tackled with an abstraction of physical link behavior. This procedure is performed in 2 phases: Firstly, training is performed at the link level, resulting in a mapping function from signal-to-interference-plus-noise ratio (SINR) to block error rate (BLER); and secondly, physical layer signal processing is replaced by the resulting link-level mapping function. Several methods have been proposed in the literature for link abstraction. The well-known exponential effective SINR mapping (EESM) is likely to be the most extensively used procedure for multicarrier transmission. In short, EESM estimates an effective SINR from the whole set of SINRs of useful subcarriers by means of a single parameter mapping function, which must be previously optimized through training. Later on, BLER is assumed as that of the effective SINR over an additive white Gaussian noise channel. In this paper, we propose a novel method for BLER prediction named as logistic regression-based link method (LRLM). Mean and standard deviation of the SINR set can accurately capture BLER behavior for wideband multicarrier systems through a simpler function, thus reducing the amount of information to be stored compared to EESM. Moreover, LRLM is very flexible and may include extra predictors to reduce the number of different models to be stored. Performance results show that LRLM is able to predict accurately the BLER for all modulation and coding schemes and transport block sizes defined for Long-Term Evolution technology.

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Computationally-Efficient Design of a Dynamic System-Level LTE Simulator

Cited by 27 publications

References 13 publications

Fault compensation algorithm based on handover margins in LTE networks

Fault compensation algorithm based on handover margins in LTE networks

Self-tuning of scheduling parameters for balancing the quality of experience among services in LTE

Link abstraction models for multicarrier systems: A logistic regression approach

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