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Hugues Tchouankem

Researcher at Bosch

Publications -  21
Citations -  277

Hugues Tchouankem is an academic researcher from Bosch. The author has contributed to research in topics: Vehicular communication systems & Scheduling (computing). The author has an hindex of 9, co-authored 19 publications receiving 186 citations. Previous affiliations of Hugues Tchouankem include Leibniz University of Hanover.

Papers
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Journal ArticleDOI

Multi-Connectivity as an Enabler for Reliable Low Latency Communications—An Overview

TL;DR: This survey provides a definition for MC, identifies main scheduling categories, compares different network architectures and considers different layers for implementing MC, and suggests further research directions such as the OSI Layer where separation and aggregation of the different paths for MC is performed.
Proceedings ArticleDOI

Vehicle-to-Vehicle IEEE 802.11p performance measurements at urban intersections

TL;DR: This paper quantifies the packet delivery ratio (PDR) and received signal strength indication (RSSI) levels associated with different scenario conditions with respect to vehicle positioning, intersection geometry and traffic density and determines reliable communication ranges which constitute an important metric for V2V collision avoidance applications.
Proceedings ArticleDOI

Impact of buildings on vehicle-to-vehicle communication at urban intersections

TL;DR: The results reveal that the presence of buildings could in some situations improve the performance of V2V communication by reducing co-channel interference from hidden nodes.
Proceedings ArticleDOI

Highway propagation modeling in VANETS and its impact on performance evaluation

TL;DR: This paper proposes a propagation model for V2V communication on highways which reflects conditions found in reality sufficiently well to be applicable for VANET simulation studies and examines the impact of different propagation modeling approaches on the resulting communication performance for varying network loads.
Proceedings Article

Decision support for dynamic city traffic management using vehicular communication

TL;DR: An integrated simulation approach featuring centralized and decentralized traffic management in urban areas and a comprehensive microscopic traffic simulation framework featuring innovative functionality regarding dynamic traffic management, decentralized decision making as well as realistic communication modeling.