An effective SINR mapping models for 256QAM in LTE-Advanced system

Yang, Juwo; Zhao, Hui; Wang, Wenbo; Zhang, Chengcheng

doi:10.1109/pimrc.2014.7136187

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The main objective is to predict the Transport Block Error Rate (TBLER) at MAC layer [30]. In addition to the error model that has to be abstracted from a link-level simulator, the Code Block (CB) sizes and the number of CBs that map to a Transport Block (TB) need to be updated as per [ [32] can be used, and add new lookup tables of BLER versus SINR for these new MCSs. We are working on this, which goes in parallel with the PHY layer abstraction, and will be released soon.…”

Section: Phy Layer Abstractionmentioning

confidence: 99%

“…NR supports 256-QAM modulation, which is still not available in the NR module. For that, we need to update the Modulation Coding Scheme (MCS)s as per [15, Table 5.2.2.1-2], include the Mutual Information (MI) mapping for 256-QAM, for which the mapping in [32] can be used, and add new lookup tables of BLER versus SINR for these new MCSs. We are working on this, which goes in parallel with the PHY layer abstraction, and will be released soon.…”

Section: -Qammentioning

confidence: 99%

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An E2E simulator for 5G NR networks

Patriciello

Lagén

Bojović

et al. 2019

Simulation Modelling Practice and Theory

145

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As the specification of the new 5G NR standard proceeds inside 3GPP, the availability of a versatile, full-stack, End-to-End (E2E), and open source simulator becomes a necessity to extract insights from the recently approved 3GPP specifications. This paper presents an extension to ns-3, a well-known discrete-event network simulator, to support the NR Radio Access Network. The present work describes the design and implementation choices at the MAC and PHY layers, and it discusses a technical solution for managing different bandwidth parts.Finally, we present calibration results, according to 3GPP procedures, and we show how to get E2E performance indicators in a realistic deployment scenario, with special emphasis on the E2E latency.

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Section: Phy Layer Abstractionmentioning

confidence: 99%

Section: -Qammentioning

confidence: 99%

An E2E simulator for 5G NR networks

Patriciello

Lagén

Bojović

et al. 2019

Simulation Modelling Practice and Theory

145

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“…In Reference [13], the average method was proposed to reduce the complexity during the calibration compared to the standard method. In Reference [14], an approximated version of MIESM was proposed for 256 quadrature amplitude modulation (QAM) in long-term evolution (LTE), but no calibration procedure was required. All the existing calibration methods of MIESM were performed using only limited channel environments without consideration of various channel conditions of mobile communications.…”

mentioning

confidence: 99%

Novel Calibration of MIESM and Reduction of CQI Feedback for Improved Fast Link Adaptation

2019

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In mobile communications systems, fast link adaptation (FLA) aims to achieve high system throughput of each user by accurately determining a channel quality indicator (CQI) for feedback, which predicts the next channel based on the current channel state information. In this paper, we propose an improved calibration method of mutual information effective signal-to noise-ratio mapping (MIESM) to determine an accurate CQI feedback value in FLA. Our proposed calibration method derives the optimal calibration factors by considering various channel environments and setting the effective interval of effective signal-to-noise ratio, which is a single value compressing the information of channel characteristics at a time. The simulation is performed in various signal-to-noise ratio (SNR) ranges to account for the actual environments, and the calibration factors are derived from the proposed calibration method. The results show that the CQI feedback value from the derived calibration factors are more accurate than the existing calibration factors. In addition, we discuss a study regarding the time-coherence-based CQI feedback bit reduction scheme. Assuming that each channel is correlated to the previous and subsequent channels, we propose a method to reduce the number of CQI feedback bits adapted to the corresponding SNR regime. Through the simulation, we compare the system throughputs of the proposed adaptive CQI feedback and the conventional CQI feedback scheme. As a result, the proposed CQI feedback has almost the same system throughput as the conventional CQI feedback scheme, but the average number of feedback bits is reduced, thereby improving the efficiency of the communication.

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An error rate model of relay communications with lossy forwarding and joint decoding

Tervo

Zhou

et al. 2016

2016 IEEE International Conference on Communications Workshops (ICC)

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An effective SINR mapping models for 256QAM in LTE-Advanced system

Cited by 5 publications

References 6 publications

An E2E simulator for 5G NR networks

An E2E simulator for 5G NR networks

Novel Calibration of MIESM and Reduction of CQI Feedback for Improved Fast Link Adaptation

An error rate model of relay communications with lossy forwarding and joint decoding

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