English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Compared to legacy wavelength division multiplexing networks, elastic opticalnetworks (EON) have added flexibility to network deployment and management.EONs can include previously available technology, such as signal regenerationand wavelength conversion, as well as new features such as finer-granularityspectrum assignment and modulation conversion. Yet each added feature adds tothe cost of the network. In order to quantify the potential benefit of eachtechnology, we present a link-based mixed-integer linear programming (MILP)formulation to solve the optimal resource allocation problem. We then propose arecursive model in order to either augment existing network deployments orspeed up the resource allocation computation time for larger networks withhigher traffic demand requirements than can be solved using an MILP. We showthrough simulation that systems equipped with signal regenerators or wavelengthconverters require a notably smaller total bandwidth, depending on the topologyof the network. We also show that the suboptimal recursive solution speeds upthe calculation and makes the running-time more predictable, compared to theoptimal MILP.

Impact of Wavelength and Modulation Conversion on Transluscent Elastic Optical Networks Using MILP