Joint Assignment of Power, Routing, and Spectrum in Static Flexible-Grid Networks

Abstract

This paper proposes a novel network planning strategy to jointly allocate physical layer resources together with the routing and spectrum assignment in transparent nonlinear flexible-grid optical networks with static traffic demands. The physical layer resources, such as power spectral density, modulation format, and carrier frequency, are optimized for each connection. By linearizing the Gaussian noise model, both an optimal formulation and a low complexity decomposition heuristic are proposed. Our methods minimize the spectrum usage of networks, while satisfying requirements on the throughput and quality of transmission. Compared with existing schemes that allocate a uniform power spectral density to all connections, our proposed methods relax this constraint and, thus, utilize network resources more efficiently. Numerical results show that by optimizing the power spectral density per connection, the spectrum usage can be reduced by around 20% over uniform power spectral density schemes.

Resource Allocation in Elastic Optical Networks with Physical-Layer Impairments

“…Moreover, we also show that our proposed system, which is based on the CLGN model and the SA algorithm, speeds up the optimization process and provides similar resource usage, compared to the published benchmark system in [3]. …”

“…When M c = 9, the CLGN model has a greater than 60% probability of outperforming the GNTR model in transmission reach. In this simulation scenario, the simulation settings are similar to settings used in [2], [3], and [4]. Hence, based on these link level analyses, we can conclude that the CLGN model has better performance in estimating PLIs than the GNTR model for many cases of practical interest.…”

“…Therefore, in order to overcome this shortcoming, heuristic algorithms have been proposed to provide a sub-optimal solution within a reasonable time. Scalability, near-optimality, and time-consumption remain a problem for heuristic algorithms in published literature [2][3][4]17]. Therefore, we propose a heuristic algorithm, the sequential allocation (SA) algorithm, that performs at relatively high speeds, works with different PLI models, and has superb performance.…”

“…All simulation results lie within 90% confidence intervals. Note that the simulation settings are similar to common assumptions used in literature [2][3][4].…”

“…are limited. Planning the resource usage of EON, the so-called routing and spectrum allocation (RSA) problem, has been the subject of extensive research [3][4][5][10][11][12]. This thesis proposes a series of algorithms that are able to reduce the network resources needed to implement continental-scale EONs.…”