The Vienna LTE simulators - Enabling reproducibility in wireless communications research

Mehlführer, Christian; Ikuno, Josep Colom; Šimko, Michal; Schwarz, Štefan; Wrulich, Martin; Rupp, Markus

doi:10.1186/1687-6180-2011-29

Cited by 249 publications

(146 citation statements)

References 48 publications

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“…In that case the 2D spreading enables a possibility to exploit higher CQI at a given SNR level in comparison with the standard form of LTE. Table 1 gives an insight on important parameters of the next simulation, where we examined the 2D spreading influence applying a cornucopia of channel models, namely PedA, PedB, VehA, AWGN, TU, ETU, RA and HT [10,11] which are available in the LTE simulator [1,3]. Results are presented in Fig.…”

Section: Experiments and Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Two Dimensional Signal Spreading in UMTS LTE: Exploiting Time-Frequency Diversity to Increase Throughput

Blumenstein

Šimko²,

Mars̆álek

et al. 2012

Wireless Pers Commun

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This paper proposes a two-dimensional spreading method in UMTS Long Term Evolution (LTE). Such a method brings additional time-frequency diversity which is beneficial in terms of the ability to decode transmitted data at the receiver site under multipath fading. Additional diversity is provided due to the fact that chips of transmitted signals are spread using a Walsh-Hadamard spreading sequence over several subcarriers as well as over several time-slots simultaneously. A comparison with state-of-the-art LTE downlink transmission is provided. To enable reproducibility and to increase credibility of our results, an open source Vienna LTE simulator is utilized. LTE transmissions with the proposed 2D spreading are tested on several channel models. Simulations show that apart from an Additive White Gaussian Noise channel model, this 2D spreading based method outperforms the throughput performance of standard LTE. At high Signal to Noise Ratio (SNR), the throughput increase in most channel models is higher than 10 %.

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Section: Experiments and Resultsmentioning

confidence: 99%

“…Therefore we chose an open source LTE simulator [1][2][3] to find out whether LTE can be enhanced by our proposed 2D signal spreading and show that it indeed outperforms a standard LTE downlink in terms of throughput.…”

mentioning

confidence: 99%

Two Dimensional Signal Spreading in UMTS LTE: Exploiting Time-Frequency Diversity to Increase Throughput

Blumenstein

Šimko²,

Mars̆álek

et al. 2012

Wireless Pers Commun

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“…It is possible to adjust the scale of the simulation to the specific needs. This is achieved by introducing three different simulation types with largely different computational complexity ( Figure 15): Figure 15: Three possible scenarios in the Vienna LTE link level simulator allow us to adjust the scale of the simulation complexity: single-downlink, single-cell multi-user, and multi-cell multi-user (Mehlführer et al, 2011).…”

Section: Technical University Of Vienna Lte Based System Simulatormentioning

confidence: 99%

“…The LTE System-Level Simulator takes a special attention to the Channel modelling during simulations and (Ikuno, Wrulich, & Rupp, 2010) has the following description for the Channel modelling: "While the losses caused by the macroscopic pathloss and the shadow fading are position-dependent and time-invariant, small-scale fading is modeled as a time-dependent process (Mehlführer et al, 2011). For each of the modeled MIMO transmission modes (Transmission Diversity (TxD) and Open Loop Spatial Multiplexing (OLSM)), a model based on a simple Zero Forcing (ZF) receiver has been developed.…”

Section: Channel Modellingmentioning

confidence: 99%

Platform for Quality of Experience Evaluation in Real Time Applications over LTE Networks

Pereira

Mateus²,

Monteiro

et al. 2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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IV V AgradecimentosEste trabalho foi realizado em cooperação com várias empresas e quero deixar um agradecimento a essas empresas que permitiram e possibilitaram a realização deste trabalho, são elas a Portugal Telecom Inovação (PTIN), Instituto Politécnico de Castelo Branco (IPCB), Instituto de Telecomunicações (IT) e Mecalbi -Engineering Solutions, Lda (MECALBI).Como as empresas são constituídas por pessoas e são elas a parte principal das empresas, quero deixar aqui um especial agradecimento aos principais responsáveis destas empresas neste projeto: Eng. Álvaro Gomes (PTIN), Valdemar Monteiro (IT), Shahid Mumtaz (IT), Jonathan Rodriguez (IT), Fernando Mateus (MECALBI), Jorge Amaral (MECALBI) e Professor Doutor Paulo Marques (IPCB).Quero deixar também um especial agradecimento ao Professor Doutor Osvaldo Santos, orientador deste trabalho, por todo o apoio e ajuda disponibilizada ao longo da realização deste trabalho.Quero ainda deixar um especial agradecimento ao Professor Doutor Paulo Marques, coorientador deste trabalho, por todo o apoio, ajuda e confiança que colocou em mim ao me confiar esta tarefa no projeto Green-T. VI VII ResumoAtualmente existem vário simuladores para várias tecnologias de redes sem fios (LTE, UMTS, Wi-Fi ...). Quase todos eles simulam valores para diferentes utilizadores como por exemplo de taxas de transferência (Mbit/s), a potência recebida, a SNR, entre outros valores, dependendo do tipo de simulação.A maioria dos resultados apresentados pelos simuladores correspondem apenas a números, como valores de taxa de transferência ou BER. Então, é difícil entender o impacto desses valores numa comunicação real. Pretende-se com este projeto dar a utilizador por exemplo 2 Mbits/s de taxa de transferência (uplink/downlink), um valor BER de 1 × 10 −6 ou uma potência recebida em torno 1NW obtidos num cenário de simulação e em tempo real e para um cenário real o utilizador experienciar as condições de comunicação e interatividade com as mesmas aplicações utilizadas na realidade.O desenvolvimento da plataforma proposta neste projeto tem como objetivo verificar e avaliar em tempo real a QoS e a QoE obtida para um utilizador simulado naquele momento e para o cenário simulado. Isso permite que os utilizadores experienciem a interatividade com aplicações para diferentes cenários de simulação.Esta plataforma tem como objetivo converter os valores numéricos obtidos apenas por ferramentas de simulação, para uma experiência em tempo real para um determinado cenário simulado. Inicialmente, a rede pretendida a simular é LTE, mas outros protocolos e tipos de rede poderão ser utilizados e testados nesta plataforma, desde que sejam baseados no protocolo IP, tal como o LTE. The development of the platform proposed in this project aims to verify in real time the QoS and QoE which simulated user experiences in that moment on the simulated scenario. This allows users to experience the interactivity with applications for different simulation scenarios.This platform aims to convert the values merely numerical, obta...

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“…These RBs are to be shared by all SNs within the cell. The LTE system level simulator [6,8] introduced in was used with simulation parameters shown in Table 1.…”

Section: Simulation Model Assumptionsmentioning

confidence: 99%

Long Term Evolution (LTE) Scheduling Algorithms in Wireless Sensor Networks (WSN)

Jabbar¹,

Abdullah²

2015

IJCA

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Many applications of wireless sensor network such as smart metering, environment monitoring and health care [1] use a large number of sensor nodes, which generate a huge amount of traffic with the specification of the different QoS requirements. Broadband transmission can be achieved through the mobile systems. Long Term Evolution (LTE) is the main efficient broadband technology in current mobile communications. IntroducingWireless sensor networks into the Long Term Evolution (LTE) networks, can be achieved successfully but with some challenges, such as the traffic overload due to a large number of sensor nodes. Traffic scheduling plays an important role in LTE technology; this can be achieved by assigning the shared resources among users in an efficient and optimized manner. This paper discusses the effect of many types of scheduling algorithms on the downlink performance, this can be done in terms of throughput, block error rate (BLER) and fairness measurements using a MATLAB-based system level Simulator is provide which from Vienna University under License Agreement for "Academic Usage" [8]. An effective radio scheduler to optimize the distribution of radio resources among the sensor nodes is also studied. The guaranteed QoS user demands can be considered as a great challenge in the current field of research.

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The Vienna LTE simulators - Enabling reproducibility in wireless communications research

Cited by 249 publications

References 48 publications

Two Dimensional Signal Spreading in UMTS LTE: Exploiting Time-Frequency Diversity to Increase Throughput

Two Dimensional Signal Spreading in UMTS LTE: Exploiting Time-Frequency Diversity to Increase Throughput

Platform for Quality of Experience Evaluation in Real Time Applications over LTE Networks

Long Term Evolution (LTE) Scheduling Algorithms in Wireless Sensor Networks (WSN)

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