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Thierry Klein

Researcher at Bell Labs

Publications -  35
Citations -  1345

Thierry Klein is an academic researcher from Bell Labs. The author has contributed to research in topics: Wireless network & Throughput. The author has an hindex of 15, co-authored 35 publications receiving 1213 citations. Previous affiliations of Thierry Klein include Nokia.

Papers
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Journal ArticleDOI

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

TL;DR: This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.
Patent

Wireless communications system employing a network active set formed from base stations operable as primary and secondary agents

TL;DR: In this article, a plurality of substantially identical base stations, each capable of being operated as both a primary agent and a secondary agent, are deployed in a wireless communications system, where the secondary agent is capable of communicating with a mobile device and the primary agent is able to communicate with a network.
Proceedings ArticleDOI

Cacheability analysis of HTTP traffic in an operational LTE network

TL;DR: The analysis of the gains of HTTP content caching at the location of SGW in an LTE Wireless network shows that amongst all the contents, `image' type have the highest revisit rate, which means caching them is beneficial, and provides guidelines for configuring the proxy server for high cacheability benefits.
Patent

Method for controlling paging and registration of a mobile device in a wireless communications system

TL;DR: In this article, a method for locating a mobile device in a wireless communications system comprised of a plurality of base stations is provided, which comprises associating the mobile device with a first base station of the plurality of BSs.
Journal ArticleDOI

Assignment strategies for mobile data users in hierarchical overlay networks: performance of optimal and adaptive strategies

TL;DR: A framework and several analytical results pertaining to the performance of two assignment strategies based on the user's velocity and the amount of data to be transmitted are presented and it is shown that intelligent assignment strategies yield significant gains over strategies that are oblivious to the user profiles.