Performance Analysis of Unsupervised LTE Device-to-Device (D2D) Communication

Eckermann, Fabian; Freudenthal, Julian; Wietfeld, Christian

doi:10.1109/vtcfall.2018.8690962

Cited by 7 publications

(3 citation statements)

References 10 publications

(16 reference statements)

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“…With CAM message size of 800 bytes, it did not even reach the 100-ms delay limit (without optimizing some parameters). Also, with 10 UEs or more, it did not reach the most stringent PDR limit of 95% with any size of combinations [23]. It is hard to find the optimal configuration to the current situation.…”

Section: Simulation Study and Resultsmentioning

confidence: 94%

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Evaluation of LiDAR data processing at the mobile network edge for connected vehicles

Ojanperä

Mäkelä

Majanen

et al. 2021

J Wireless Com Network

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Abstract5G mobile network technology together with edge computing will create new opportunities for developing novel road safety services in order to better support connected and automated driving in challenging situations. This paper studies the feasibility and benefits of localized mobile network edge applications for supporting vehicles in diverse conditions. We study a particular scenario, where vehicle sensor data processing, required by road safety services, is installed into the mobile network edge in order to extend the electronic horizon of the sensors carried by other vehicles. Specifically, we focus on a LiDAR data-based obstacle warning case where vehicles receive obstacle warnings from the mobile network edge. The proposed solution is based on a generic system architecture. In this paper, we first evaluate different connectivity and computing options associated with such a system using ns-3 simulations. Then, we introduce a proof-of-concept implementation of the LiDAR-based obstacle warning scenario together with first results from an experimental evaluation, conducted both in a real vehicle testbed environment and in a laboratory setting. As a result, we obtain first insights on the feasibility of the overall solution and further enhancements needed.

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Section: Simulation Study and Resultsmentioning

confidence: 94%

“…It is hard to find the optimal configuration to the current situation. Furthermore, none of the combinations achieves a global optimum [23]. An example is seen in Figs.…”

Section: Simulation Study and Resultsmentioning

confidence: 99%

Evaluation of LiDAR data processing at the mobile network edge for connected vehicles

Ojanperä

Mäkelä

Majanen

et al. 2021

J Wireless Com Network

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“…If BLER of SCI is not being measured, then the assumed SCI must be set so that the receiver can assume knowledge of the SCI. There will be synchronization and extraction of each subframe of the PSCCH subframe pool [14]. Again SC-FDMA demodulation was applied.…”

Section: Design Aspects Of Pssch and Pscch For D2d Communicationmentioning

confidence: 99%

Improving Spectral Efficiency of PSSCH for D2D Communication

Singh¹,

Tripathy

Asthana³

et al. 2023

Preprint

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Improvement in the spectral efficiency (SE) for Device is Device (D2D) is important and essential to get enhancement in the data rate, bandwidth per unit area, the number of connected devices per unit area, availability, coverage, energy usage, and latency. This can be achieved by the implementation of a higher-order modulation technique. But the basic problem is interference. This paper is going to implement higher-order modulation (up to 1024 QAM) with the help of Transport Block Size (TBS) for the Physical Sidelink Shared Channel (PSSCH). Here SE is improving as the order of the modulation or TBS rises. Block error rate (BLER) and the Average number of transmissions are also cultivating as TBS or order of the modulation increasing. Development in the BLER reflects the enrichment in block error due to interference. Here frequency selective fading and additive white gaussian noise (AWGN) are added to the channel to see the effect of fading and noise.

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