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Lexin Pan

dblp:302/1847 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Optical networks · 91% Network performance modeling · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Optical networks › routing and wavelength assignment
blocking probability analysis
0.612022
Add/Drop Flexibility and System Complexity Tradeoff in ROADM Designs · INFOCOM 2022
Optical networks › optical switching
reconfigurable optical add/drop multiplexer
0.612022
Add/Drop Flexibility and System Complexity Tradeoff in ROADM Designs · INFOCOM 2022
Optical networks
wavelength-routed network
0.612022
Add/Drop Flexibility and System Complexity Tradeoff in ROADM Designs · INFOCOM 2022
Network performance modeling
markov chain model
0.212022
Add/Drop Flexibility and System Complexity Tradeoff in ROADM Designs · INFOCOM 2022

Methods — techniques the papers use, named apart from their topics

markov chain · 0.6closed-form analysis · 0.6
YearPublicationVenuePosition
2022 Add/Drop Flexibility and System Complexity Tradeoff in ROADM Designs
abstract
As a key component in dynamic wavelength-routing optical networks (WRONs), the contention performance at add/drop (A/D) ports of ROADMs has attracted a lot of attention in recent years. For the first time, this paper derives the close-form solutions of the blocking probability (BP) of A/D requests to characterize the fundamental tradeoff between A/D flexibility and system complexity in the ROADM. We show that the ROADM with fiber cross-connect (FXC) can decide whether a request can be satisfied based on global transceiver-usage information, and thus an exact expression of BP can be obtained. In comparison, the ROADM without FXC needs detail transceiver-usage information to make decision, and thus is hard to be analyzed. To circumvent the difficulty in analysis, we describe the evolution of the number of busy transceivers using a one-dimensional Markov chain, where the state transition rates are estimated from global transceiver-usage information. Based on this model, we obtain an approximate BP the accuracy of which is high enough for currently commercialized ROADMs and increases with the number of drop ports. Our analytical results provide an interesting insight into the tradeoff between A/D flexibility and system complexity, based on which we give some suggestions for system design.
Lexin Pan, Tong Ye 0002
INFOCOM1