A Novel Link Error Prediction Model for OFDM Systems with HARQ

Ikuno, Josep Colom; Mehlführer, Christian; Rupp, Markus

doi:10.1109/icc.2011.5962464

Cited by 22 publications

(26 citation statements)

References 20 publications

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“…The results of the link and system level comparisons are shown in Figure 9. For all the considered simulation scenarios, we obtain an excellent match between the results of the two simulators, confirming the validity of our Link Error Prediction (LEP) model [50] on system level. Figure 9 can be reproduced by running the script Reproducibility _LLvsSL_batch.m provided in the system level simulator package.…”

Section: B Link and System Level Cross-comparisonsupporting

confidence: 62%

“…In LTE, such a network consists of a multitude of eNodeBs that cover a specific area in which many mobile terminals are located and/or moving around. While simulations of individual physical layer links allow for the investigation of MIMO gains, AMC feedback, modeling of the channel code, and retransmissions [13,44,45,50,56], it is not possible to reflect the effects of cell planning, scheduling, or interference in a large scale with dozens of eNodeBs and hundreds of users. Simply performing physical layer simulations of the radio links between all terminals and base-stations is unfeasible for system level investigations because of the vast amount of computational power required.…”

Section: A Structure Of the Simulatormentioning

confidence: 99%

“…Such a set-up allows for the investigation of channel tracking, channel estimation [44], synchronization [11,49], MIMO gains, AMC and feedback optimization [13], receiver structures [14] (neglecting interference and impact of the scheduling, a modeling of channel encoding and decoding [15,50], and physical layer modeling [51], which can be used for system level abstraction of the physical layer. To start a simple single-downlink simulation, run the file LTE_-sim_batch_single_downlink.m.…”

Section: ) Single-downlinkmentioning

confidence: 99%

See 2 more Smart Citations

The Vienna LTE simulators - Enabling reproducibility in wireless communications research

Mehlführer¹,

Ikuno²,

Šimko³

et al. 2011

EURASIP J. Adv. Signal Process.

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249

141

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In this article, we introduce MATLAB-based link and system level simulation environments for UMTS Long-Term Evolution (LTE). The source codes of both simulators are available under an academic non-commercial use license, allowing researchers full access to standard-compliant simulation environments. Owing to the open source availability, the simulators enable reproducible research in wireless communications and comparison of novel algorithms. In this study, we explain how link and system level simulations are connected and show how the link level simulator serves as a reference to design the system level simulator. We compare the accuracy of the PHY modeling at system level by means of simulations performed both with bit-accurate link level simulations and PHY-model-based system level simulations. We highlight some of the currently most interesting research questions for LTE, and explain by some research examples how our simulators can be applied.

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Section: B Link and System Level Cross-comparisonsupporting

confidence: 62%

Section: A Structure Of the Simulatormentioning

confidence: 99%

Section: ) Single-downlinkmentioning

confidence: 99%

See 1 more Smart Citation

The Vienna LTE simulators - Enabling reproducibility in wireless communications research

Mehlführer¹,

Ikuno²,

Šimko³

et al. 2011

EURASIP J. Adv. Signal Process.

Self Cite

249

141

View full text Add to dashboard Cite

show abstract

“…The prerequisite for realistic assumption with this regard is a reliable preceding traffic analysis, or taking the data from literature. As such comprehensive data analysis is out of scope of this work, we adopt the following exemplar values [15]: which is inserted into (27) to finally result in…”

Section: Verification Of Peak Cfo-induced Phase Deviationmentioning

confidence: 99%

Suppressing the OFDM CFO‐Caused Constellation Symbol Phase Deviation by PAPR Reduction

Lipovac

Njemčević

2018

Wireless Communications and Mobile Computing

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The well-known major drawbacks of the Orthogonal Frequency-Division Multiplexing (OFDM), namely, the transmitter versus receiver Carrier Frequency Offset (CFO), and the Peak-to-Average Power Ratio (PAPR) of the transmitted OFDM signal, may degrade the error performance, by causing Intercarrier Interference (ICI), as well as in-band distortion and adjacent channel interference, respectively. Moreover, in spite of the utmost care given to CFO estimation and compensation in OFDM wireless systems, such as wireless local networks or the mobile radio systems of the fourth generation, e.g., the Long-Term Evolution (LTE), still some residual CFO remains. With this regard, though so far the CFO and the PAPR have been treated independently, in this paper, we develop an Error Vector Magnitude (EVM) based analytical model for the CFO-induced constellation symbol phase distortion, which essentially reveals that the maximal CFO-caused squared phase deviation is linear with the instantaneous (per-OFDM-symbol) PAPR. This implies that any PAPR reduction technique, such as simple clipping or coding, indirectly suppresses the CFO-induced phase deviation, too. The analytically achieved results and conclusions are tested and successfully verified by conducted Monte Carlo simulations.

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“…This method is also mutual information based and does not require the calibration for convolution and turbo decoders and was selected as an evaluation methodology in the WINNER project [6] and the WiMAX standard [7]. MIESM is also very well suited to model HARQ as shown in [8][9][10].…”

Section: A Introductionmentioning

confidence: 99%

On scalability, robustness and accuracy of physical layer abstraction for large-scale system-level evaluations of LTE networks

Kaltenberger

Latif

Knopp

2013

2013 Asilomar Conference on Signals, Systems and Computers

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We present an in-depth performance analysis of the gains of physical layer (PHY) abstraction when compared to a full implementation of the physical layer. The abstraction model uses either effective signal to noise plus interference (SINR) mapping or mutual information effective SINR mapping and covers different transmission modes as well as support for hybrid automatic repeat request. Using the OpenAirInterface LTE system level simulator we show that for a simple network with one base station and two user equipments these PHY abstraction techniques decrease the simulation time by a factor of up to 100 while providing the same accuracy as with the full PHY implementation.

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A Novel Link Error Prediction Model for OFDM Systems with HARQ

Cited by 22 publications

References 20 publications

The Vienna LTE simulators - Enabling reproducibility in wireless communications research

The Vienna LTE simulators - Enabling reproducibility in wireless communications research

Suppressing the OFDM CFO‐Caused Constellation Symbol Phase Deviation by PAPR Reduction

On scalability, robustness and accuracy of physical layer abstraction for large-scale system-level evaluations of LTE networks

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