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Nicholas Bambos

Researcher at Stanford University

Publications -  320
Citations -  5596

Nicholas Bambos is an academic researcher from Stanford University. The author has contributed to research in topics: Power control & Wireless network. The author has an hindex of 35, co-authored 304 publications receiving 5268 citations. Previous affiliations of Nicholas Bambos include University of California & French Institute for Research in Computer Science and Automation.

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Journal ArticleDOI

Toward power-sensitive network architectures in wireless communications: concepts, issues, and design aspects

TL;DR: This work considers issues associated with the design of power-sensitive wireless network architectures, which utilize power efficiently in establishing user communication at required QoS levels, and formulate some general associated concepts which have wide applicability to wireless network design.
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Channel access algorithms with active link protection for wireless communication networks with power control

TL;DR: A distributed power-control algorithm with active link protection (DPC/ALP) that maintains the quality of service of operational links above given thresholds at all times (link quality protection) is studied.
Proceedings ArticleDOI

Routing and channel assignment for low power transmission in PCS

TL;DR: In this article, the authors propose to enforce a "reuse distance" similar to the frequency reuse factor in AMPS cellular service to route and assign channels to (place) arriving calls in a peer-to-peer network.
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Wireless LAN performance under varied stress conditions in vehicular traffic scenarios

TL;DR: The network throughput and the quality of the wireless communication channel are observed to degrade with increasingly stressful communication scenarios, and optimization measures through aggression control via variations in packet size are suggested.
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adaptive mobile multimedia networks

TL;DR: Two layers of key importance in multimedia wireless network design are focused on, namely compression algorithms and adaptivity in the voice/video applications layer, and network algorithms at the wireless subnet layer.