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Guangzhi Li

Researcher at AT&T Labs

Publications -  74
Citations -  1596

Guangzhi Li is an academic researcher from AT&T Labs. The author has contributed to research in topics: Network topology & Network planning and design. The author has an hindex of 18, co-authored 74 publications receiving 1577 citations. Previous affiliations of Guangzhi Li include AT&T & College of William & Mary.

Papers
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Proceedings ArticleDOI

Efficient distributed path selection for shared restoration connections

TL;DR: This work proposes an efficient path-selection algorithm for restoration of connections over shared bandwidth in a fully distributedGMPLS architecture and describes how to extend GMPLS signaling protocols to collect the necessary information efficiently.
Journal ArticleDOI

Architectures and Protocols for Capacity Efficient, Highly Dynamic and Highly Resilient Core Networks [Invited]

TL;DR: This paper addresses the major innovations developed in Phase 1 of the program by the team led by Telcordia and AT&T with the ultimate goal to transfer the technology to commercial and government networks for deployment in the next few years.
Patent

Method for selecting a restoration path in a mesh network

TL;DR: In this paper, a method of selecting a restoration path in a mesh telecommunication network is disclosed that advantageously is practical and flexible and may be pre-computed along with a service connection path during the setup of the connection.
Journal ArticleDOI

Control plane design for reliable optical networks

TL;DR: A detailed discussion of a number of subtle protocol design and implementation issues that were not addressed in early standardization efforts or published papers are provided.
Proceedings ArticleDOI

Fair and optimal resource allocation for LTE multicast (eMBMS): Group partitioning and dynamics

TL;DR: The tradeoff between improving unicast user rates and improving spectrum efficiency through multicast is demonstrated and it is shown that even if the user deviates from the global solution in a number of scenarios, the number of selfish users that will choose to deviate is bound.