Comparison between measured and computed values of the mean mutual information per coded bits in OFDM based wireless transmissions

Popescu, Dalia; Varga, Mihaly; Bota, Vasile

doi:10.1109/tsp.2013.6613957

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…For the case of frequency-selective channels, in [8] it was shown that, for a point-to-point transmission, the PDFs of the LLRs of the received bits for a 4-QAM transmission are nearly Gaussian distributions and the measured does not correctly approximate the theoretical value, when zero-forcing method is used for frequency domain equalization.…”

Section: A Point-to-point Transmission Resultsmentioning

confidence: 99%

Accuracy evaluation of the theoretical approximation of the mean mutual information per coded bit in coordinated multi point transmissions

Popescu

Varga

Bota

2014

2014 10th International Conference on Communications (COMM)

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The increased demand of spectrally efficient wireless transmissions requires accurate performance prediction mechanisms. A promising prediction method for OFDM transmission using convolutional turbo codes is based on the mean mutual information per coded bits. This paper aims to study the accuracy provided by the theoretical method used to compute the mean mutual information per coded bit presented in literature by comparison to the results obtained from measurements. The results obtained showed that for point-to-point transmissions over both Gaussian and frequency-selective channels, the theoretical method provides good accuracies while for coordinated multipoint transmissions over frequency-selective channels, the analytical method loses its accuracy as the distributions of the combined LLRs can no longer be considered combinations of Gaussian distributions.

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Section: A Point-to-point Transmission Resultsmentioning

confidence: 99%

Accuracy evaluation of the theoretical approximation of the mean mutual information per coded bit in coordinated multi point transmissions

Popescu

Varga

Bota

2014

2014 10th International Conference on Communications (COMM)

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“…Such SINR calculations assume LMMSE-IRC and include both the effect of the co-channel and potential CLI into account in line with the SINR calculations in (4) and (5). Based on all the subcarrier symbols SINR for the transmission, the combined mean mutual information per coded bit (MMIB) mapping [39] is applied for calculation of the effective SINR level. The respective transmission packet error probability (PEP) is calculated based on look-up tables, obtained from extensive link level simulations.…”

Section: Performance Evaluation a Simulation Methodologymentioning

confidence: 99%

Online Radio Pattern Optimization Based on Dual Reinforcement-Learning Approach for 5G URLLC Networks

2020

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The fifth generation (5G) radio access technology is designed to support highly delaysensitive applications, i.e., ultra-reliable and low-latency communications (URLLC). For dynamic time division duplex (TDD) systems, the real-time optimization of the radio pattern selection becomes of a vital significance in achieving decent URLLC outage latency. In this study, a dual reinforcement machine learning (RML) approach is developed for online pattern optimization in 5G new radio TDD deployments. The proposed solution seeks to minimizing the maximum URLLC tail latency, i.e., min-max problem, by introducing nested RML instances. The directional and real-time traffic statistics are monitored and given to the primary RML layer to estimate the sufficient number of downlink (DL) and uplink (UL) symbols across the upcoming radio pattern. The secondary RML sub-networks determine the DL and UL symbol structure which best minimizes the URLLC outage latency. The proposed solution is evaluated by extensive and highly-detailed system level simulations, where our results demonstrate a considerable URLLC outage latency improvement with the proposed scheme, compared to the state-of-the-art dynamic-TDD proposals.

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“…For DL/UL packets, the signal to interference noise ratios (SINR) of the granted sub-carriers are calculated using the linear minimum mean square error interference rejection and combining receiver (L-MMSE-IRC). Those are combined using the mean mutual information per coded bit (MMIB) mapping [26] in order to estimate the effective SINR point. Based on the effective SINR, the corresponding error probability is calculated using look-up tables, obtained from extensive link level simulations, considering the received effective SINR and the adopted MCS.…”

Section: Performance Evaluation a Simulation Methodologymentioning

confidence: 99%

Analysis of Outage Latency and Throughput Performance in Industrial Factory 5G TDD Deployments

Esswie¹,

Pedersen²

2020

Preprint

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The fifth generation (5G) new radio supports a diversity of network deployments. The industrial factory (InF) wireless automation use cases are emerging and drawing an increasing attention of the 5G new radio standardization groups. Therefore, in this paper, we propose a service-aware time division duplexing (TDD) frame selection framework for multitraffic deployments. We evaluate the performance of the InF network deployments with the state-of-the-art 3GPP modeling assumptions. In particular, we consider the dynamic TDD mode along with optimized uplink power control settings. Multi-traffic coexistence scenarios are also incorporated such that quality of service (QoS) aware dynamic user scheduling and TDD link selection are introduced. Extensive system level simulations are performed in order to evaluate the performance of the proposed solutions, where the proposed QoS-aware scheme shows 68% URLLC outage latency reduction compared to the QoS-unaware solutions. Finally, the paper offers insightful conclusions and design recommendations on the TDD radio frame selection, uplink power control settings and the best QoS-coexistence practices, in order to achieve a decent URLLC outage latency performance in the state-of-the-art InF deployments.

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Comparison between measured and computed values of the mean mutual information per coded bits in OFDM based wireless transmissions

Cited by 8 publications

References 2 publications

Accuracy evaluation of the theoretical approximation of the mean mutual information per coded bit in coordinated multi point transmissions

Accuracy evaluation of the theoretical approximation of the mean mutual information per coded bit in coordinated multi point transmissions

Online Radio Pattern Optimization Based on Dual Reinforcement-Learning Approach for 5G URLLC Networks

Analysis of Outage Latency and Throughput Performance in Industrial Factory 5G TDD Deployments

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