Channel power and rate optimization of nonlinear optical fiber networks
Abstract/Contents
- Abstract
- Channel power and rate optimization objectives are examined in nonlinear long-haul optical communication networks. Problems of maximizing the minimum channel margin and maximizing fiber capacity are found to have convex forms. The Kerr nonlinear inter- and intra-channel nonlinear interference is initially modelled via the Gaussian noise nonlinearity model. Valuable performance benefits are obtained in inhomogeneous scenarios including mesh networks. The inhomogeneity introduced by the additional nonlinear impairment of stimulated Raman scattering makes the optimization objective non-convex, but also provides inherent inhomogeneity that supports performance benefits from power optimization. The discrete-rate optimization objective is formulated for maximizing the real-world capacity of optical communication systems with discrete code rates. Efficient heuristic methods are proposed that make use of a sequence of calls to solve the minimum-margin channel power optimization problem. Lastly, the channel power optimization problem is generalized with a model that applies beyond the dispersion-uncompensated domain of the Gaussian noise model. A first-order perturbation-based approach is used for the nonlinear interference modelling.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Roberts, Ian |
|---|---|
| Degree supervisor | Kahn, Joseph M |
| Thesis advisor | Kahn, Joseph M |
| Thesis advisor | Lall, Sanjay |
| Thesis advisor | Miller, D. A. B |
| Degree committee member | Lall, Sanjay |
| Degree committee member | Miller, D. A. B |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Ian Roberts. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Ian John Roberts
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