A Resource-Periodic-Arrangement Strategy for RMSA Problem in Elastic Optical Networks

Abstract

Elastic optical networks (EONs), which can flexibly assign spectrum resources to connection requests, have become the most promising technology for the next generation of optical core networks. Routing, modulation and spectrum assignment (RMSA) problem is one of the key issues in elastic optical networks. In the RMSA problem, spectrum resources in links are generally divided into frequency slices and connection requests with different capacities can use different numbers of frequency slices to transfer their data; however, this may lead to misalignment of idle frequency slices in links and then result in the increase of blocking probability of connection requests. In this paper, we propose a resource-periodic-arrangement (RPA) strategy. The strategy partitions frequency slices into periodically arranged standard frequency blocks and each connection request exactly uses one or more standard frequency blocks. The RPA strategy can effectively reduce the misalignment of frequency slices. Furthermore, an RPA-based RMSA algorithm is designed, in which an enhanced-most-used policy is adopted to choose standard frequency blocks to connection requests. Simulation results show that the RPA-based RMSA algorithm can distinctly reduce blocking probability of connection requests, comparing with existing algorithms. INDEX TERMS Elastic optical networks (EONs), Routing Modulation and Spectrum Assignment (RMSA), Resource Periodic Arrangement (RPA), Enhanced Most Used (EMU)

Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

“…This solution uses the most widely used policy to set the dynamic frequency of connection requests. The RPA strategy aims to produce better spectrum resources [29].…”

“…In the RPA strategy, connection requests can be served with an SFB combination in theory that a single block of standard frequencies is considered to be a combination of SFB or denoted by BC, so it can be formulated (6) as follows [29].…”

Joint Minimization of Spectrum and Power in Impairment-Aware Elastic Optical Networks

“…The approximate SNR thresholds are 22.4 dB, 19.2 dB, and 12.6 dB, respectively, at BER 10 −9 [8]. The physical parameters (indicated in the Appendix) were set to values: α = 0.22 dB/ km, γ = 1.32(W km) −1 , β 2 = -21.7 ps 2 / km, n sp = 1.8, ν = 193 THz, L = 80 km, and ζ = 12.5 GHz [1], [7], [29], [66].…”

“…B ANDWIDTH requirements and power consumption of the internet continue to grow at an exponential rate due to rising popularity of bandwidth-intensive mobile applications, ultra high definition video streaming, cloud computing services, and an ever-increasing user base [1]- [6]. To accommodate this growing demand, legacy wavelength division multiplexed optical networks are gradually being upgraded into EONs, which are shown to reduce cost, power consumption, and bandwidth waste, while increasing network throughput [1], [7]- [10].…”

“…B ANDWIDTH requirements and power consumption of the internet continue to grow at an exponential rate due to rising popularity of bandwidth-intensive mobile applications, ultra high definition video streaming, cloud computing services, and an ever-increasing user base [1]- [6]. To accommodate this growing demand, legacy wavelength division multiplexed optical networks are gradually being upgraded into EONs, which are shown to reduce cost, power consumption, and bandwidth waste, while increasing network throughput [1], [7]- [10]. The enabling technologies of EONs, such as bandwidth-variable wavelength crossconnects and transceivers as well as novel resource allocation schemes and standards, are thus being developed by researchers, vendors, and international standardization bodies [2], [4], [11]- [13].…”