Towards advanced high capacity and highly scalable software defined optical transmission

Moreolo, Michela Svaluto; Nadal, Laia; Fàbrega, Josep M.

doi:10.1109/icton.2017.8024879

Cited by 4 publications

(3 citation statements)

References 9 publications

(27 reference statements)

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“…The number of components used for ultrahigh speed and UDWDM optical system are characterized by theoretical models. Assuming that an optical pulse consists of various frequencies and propagation modes can be represented as 29

P false(i false) = \sum_{σ, x} p false(σ, λ_{σ}, x false)

…”

Section: Analytical Modelingmentioning

confidence: 99%

“…The CBA is an important factor for the design of optical transmission system to estimate the CPE and CPX for the design engineers 28 . The mitigation of nonlinear effects using DSP receiver provides a promising solution to the existing optical components based models 29 . The DQPSK is shown to improve the BER performance, as compared with conventional QPSK, but the trade‐off lies between the additional cost for DQPSK implementation and amount of performance improvement.…”

Section: Cost Benefit Analysismentioning

confidence: 99%

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Alleviation of nonlinear channel effects in long‐haul and high‐capacity optical transmission networks

Ali

Habib

Muhammad

et al. 2021

Int J Communication

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Summary Optical transmission networks (OTxNs) provide a cost‐effective solution towards ultrahigh data intercontinental transmission. However, nonlinear effects such as four‐wave mixing (FWM) and cross‐phase modulation (XPM) are the major performance limiting factors for OTxNs. This paper proposes the use of differential quadrature phase shift keying (DQPSK) modulation format and uneven channel spacings for dispersion compensation and investigates the nonlinear mitigation performance for a 32 channels ultradense wavelength division multiplexing (UDWDM) with data rate of up to 10 Gbps per channel. In addition, this paper presents an analysis on power budget and power penalties with a cost benefit analysis (CBA) for the proposed framework. The transmission link of the proposed UDWDM model is analyzed in terms of bit error rate (BER) for various lengths of optical fiber in long‐haul transmission, launch power, nonlinear effective area, and nonlinear refractive index. The analytical model is developed for mitigation of nonlinearity for the modeled UDWDM long‐haul and ultrahigh‐capacity system, beyond 1200‐km path span. The simulation results show systems advantages of having narrower spectrum than on‐off‐keying (OOK) modulation, significant tolerance to nonlinearities and low cost, compared with current OTxNs with 2.8‐dB optical signal‐to‐noise ratio (OSNR) improvement and successful mitigation of nonlinearities for as high launch powers as +4 dBm for such long distance transmission in dispersive channel.

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P false(i false) = \sum_{σ, x} p false(σ, λ_{σ}, x false)

…”

Section: Analytical Modelingmentioning

confidence: 99%

Section: Cost Benefit Analysismentioning

confidence: 99%

Alleviation of nonlinear channel effects in long‐haul and high‐capacity optical transmission networks

Ali

Habib

Muhammad

et al. 2021

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Each link in the substrate network graph is weighted by link length and bandwidth. As shown in Table 2, the substrate network capacities of the access, aggregation, and core layer networks are set to 40 Gbps, 80 Gbps, and 80 Gbps, respectively, according to the future planning of 5G high-capacity and highly scalable transport network [48,49]. Similarly, the setup of substrate links' length follows the practical structure of the backhaul network, as given in [50].…”

Section: Simulation Setupmentioning

confidence: 99%

Latency-Optimal Virtual Network Functions Resource Allocation for 5G Backhaul Transport Network Slicing

Feng

et al. 2019

Applied Sciences

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The concept of network slicing (NS) has been proposed for flexible resource provisioning where a physical resource is partitioned into logically independent networks on demand. The NS resource allocation implies the definition of a feasible path in the infrastructure network with adequate resource availability. However, due to complex structural characteristics of the backhaul transport network, a number of issues arise when fast deploying the end-to-end (E2E) slices onto network infrastructures. In this paper, a pair-decision resource allocation model is firstly formulated to construct the mapping relationship between logical networks and substrate networks in a coordinated way. In order to improve extreme quality of service (QoS) and user experiment, latency-optimal virtual resource allocation problem is defined, subject to the backhaul capacity and bandwidth constraints. The problem is formulated as an integer linear programming (ILP) and solved with the branch-and-bound scheme, whose resolution yields an optimal virtual network function (VNF) placement and traffic routing policy. Numerical results reveal that the proposed scheme can enable the transport network latency optimization with a reduction of up to 30% and 41.6% compared to the Network Slice Design Problem (NSDP) and Random Fit Placement Algorithm (RFPA) schemes respectively. In the meanwhile, the network load balance and serviceability have been improved efficiently with better resource utilization as well.

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Resource Allocation for Network Slices with Delay-Sensitive Multimedia Services

Gao

Zhou

Sun

et al. 2020

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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Towards advanced high capacity and highly scalable software defined optical transmission

Cited by 4 publications

References 9 publications

Alleviation of nonlinear channel effects in long‐haul and high‐capacity optical transmission networks

Alleviation of nonlinear channel effects in long‐haul and high‐capacity optical transmission networks

Latency-Optimal Virtual Network Functions Resource Allocation for 5G Backhaul Transport Network Slicing

Resource Allocation for Network Slices with Delay-Sensitive Multimedia Services

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