TRA: an efficient dynamic resource assignment algorithm for MCF-based SS-FONs

Abstract

Service provisioning can be enhanced with spectrally spatially flexible optical networks (SS-FONs) with multicore fibers; however, intercore crosstalk (XT) is a dominant impairment that complicates the problem of maintaining the quality of transmission (QoT) and resource allocation. The selection of modulation formats (MFs), due to their unique XT sensitivities, further increases the complexity. The routing, modulation, core, and spectrum assignment (RMCSA) problem must select the resources carefully to exploit the available capacity while meeting the desired QoT. In this paper, we propose an RMCSA algorithm called the tridental resource assignment (TRA) algorithm for transparent SS-FONs, and its variant, translucency-aware TRA (TaTRA), for translucent SS-FONs. TRA balances three different factors that affect network performance under dynamic resource allocation. We consider translucent networks with flexible regeneration and with and without modulation and spectrum conversion. Our resource assignment approach includes both an offline network planning component to calculate path priorities and an online/dynamic provisioning component to allocate resources. Extensive simulation experiments performed in realistic network scenarios indicate that TRA and TaTRA significantly reduce the bandwidth blocking probability by several orders of magnitude in some cases.

A New Algorithm to Mitigate Fragmentation and Crosstalk in Multi-Core Elastic Optical Networks

“…In addition to classical spectrum allocation policies, many works in the literature have investigated more efficient ways to improve resource allocation in SDM-EON. Some of these works propose XT-aware strategies to deal with the problem of inter-core crosstalk [11][12][13][14][15][16][17][18][19][20][21][22]. On the other hand, the XT-avoid strategies appear as a low computational cost option [13,[23][24][25][26].…”

“…All related works deal with inter-core crosstalk either by the XT-avoid or XT-aware approaches. Related to the spectrum fragmentation issue, some works implement mechanisms to reduce fragmentation in the resource allocation process [12,[17][18][19][20][21]23,24]. Some of these works were performed through a static traffic matrix, while others generated arrivals and ends of new requests dynamically.…”

“…Therefore, the algorithms compared to the proposed algorithm on performance evaluation (Section 5) are also XT-avoid, and are designed for dynamic traffic. [24] yes yes XT-avoid dynamic 7 [11] yes no XT-aware dynamic 3, 7, and 12 [12] yes yes XT-aware dynamic 7 [25] yes no XT-avoid dynamic 7 [13] yes no XT-avoid dynamic 7 and 19 [14] yes no XT-aware static 3 and 7 [26] yes no XT-avoid dynamic 7 [15] yes no XT-aware static 3, 7, and 19 [16] yes no XT-aware static 6 and 7 [17] yes yes XT-aware dynamic 3 and 7 [18] yes yes XT-aware dynamic 7 [19] yes yes XT-aware static 7 [20] yes yes XT-aware dynamic 7 and 12 [21] yes yes XT-aware dynamic 7 [22] yes no XT-aware dynamic 7…”

Dual optimization for enhancing TRA in MCF-based SDM-EONs

“…Prior works [12], [13] have addressed the RMCSA problem with the help of an RMCSA algorithm, the tridental resource assignment algorithm (TRA). TRA takes into account the effect of selection of core, modulation, and spectrum to balance the spectrum utilization versus XT accumulations trade-off.…”

“…TRA takes into account the effect of selection of core, modulation, and spectrum to balance the spectrum utilization versus XT accumulations trade-off. Further, an improved variant of TRA for transparent and translucent networks is proposed in [13]. It is demonstrated that TRA is extraordinarily effective at allocating resources to balance the trade-off.…”