C
Christian Bonnet
Researcher at Institut Eurécom
Publications - 207
Citations - 6267
Christian Bonnet is an academic researcher from Institut Eurécom. The author has contributed to research in topics: Wireless network & Mobility management. The author has an hindex of 36, co-authored 202 publications receiving 5783 citations. Previous affiliations of Christian Bonnet include Polytechnic University of Turin & Bouygues Telecom.
Papers
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Proceedings ArticleDOI
Phy layer abstraction for SU-MIMO LTE system employing parallel interference-aware detection
TL;DR: A light-weight extended Mutual Information Effective SINR Mapping (MIESM) methodology based on look-up tables (LUT), which take the special non-linear nature of the PIA receiver into account and is as accurate as the direct MIESM abstraction, but at the same time has significantly less computational complexity.
Book ChapterDOI
Enhancing Video Delivery in the LTE Wireless Access Using Cross-Layer Mechanisms
TL;DR: This paper describes techniques to handle the video traffic load in the last hop, of the communication network, i.e., the wireless access, to benefit from a cross-layer architecture for efficient video transport.
Proceedings ArticleDOI
SAMU project: tests and improvement of UMTS for users in a car
TL;DR: An overview of the French collaborative project SAMU, Advanced Services by Mastering UMTS, dedicated to developing enhanced services for users in a car is given, which has a UMTS-TDD software radio platform built to show IP based telematics applications over UMTS.
Proceedings ArticleDOI
Evaluation of Scalable Proxy Mobile IPv6 in Wireless Mesh Networks
TL;DR: It is shown that the SPMIPv6 extension can scale the network better than the base Proxy Mobile IPv6 (PMIP v6) protocol.
Proceedings ArticleDOI
Fuzzy based prediction schema framework for IoT based indoor environmental monitoring
Thinagaran Perumal,Soumya Kanti Datta,Thinaharan Ramachandran,Chui Yew Leong,Christian Bonnet +4 more
TL;DR: This paper proposes an integrated indoor environmental monitoring system implemented with a novel IoT framework enabled via fuzzy-based rule schema to resolve the heterogeneity of environmental data in smart home environment.