On the Impact of Optimal Modulation and FEC Overhead on Future Optical Networks

Alvarado, Alex; Ives, D. J. G.; Savory, Seb J.; Bayvel, Polina

doi:10.1109/jlt.2016.2517699

Cited by 33 publications

(18 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We define data throughput as the total data transported by the network that satisfies some predefined traffic profile [11]. That is if we have a traffic profile, a matrix of elements detailing the fraction of total traffic requested between each source destination node pair, and the matrix of data rate available between each source destination node pair then the throughput is the maximum traffic as a multiplier of the traffic profile that can be transported by the network.…”

Section: Definition Of Network Throughputmentioning

confidence: 99%

“…To maximize the data transmitted over a given light path the transceivers can use basic modulation format adaptation [2], 4D modulation schemes [3], time division hybrid formats [4], OFDM subcarrier modulation adaptation [5], probabilistic shaping [6], [7] and FEC overhead (OH) adaptation [8]- [11]. The adaptation of the optical launch power [12], [13] and mitigation of nonlinear interference using, for example digital back propagation (DBP) [14], [15], can improve the properties of the light path.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Throughput Gains From Adaptive Transceivers in Nonlinear Elastic Optical Networks

Ives

Alvarado

Savory

2017

J. Lightwave Technol.

Self Cite

View full text Add to dashboard Cite

Abstract-In this paper we link the throughput gains, due to transceiver adaptation, in a point-to-point transmission link to the expected gains in a mesh network. We calculate the maximum network throughput for a given topology as we vary the length scale. We show that the expected gain in network throughput due to transceiver adaptation is equivalent to the gain in a point-to-point link with a length equal to the mean length of the optical paths across the minimum network cut. We also consider upper and lower bounds on the variation of the gain in network throughput due to transceiver adaptation where integer constrained channel bandwidth assignment and quantized adaptations are considered. This bounds the variability of results that can be expected and indicates why some networks can give apparently optimistic or pessimistic results. We confirm the results of previous authors that show finer quantization steps in the adaptive control lead to an increase in throughput since the mean loss of throughput per transceiver is reduced. Finally we consider the likely network advantage of digital nonlinear mitigation and show that a significant trade off occurs between the increase in SNR for larger mitigation bandwidths and the loss of throughput when routing fewer large bandwidth superchannels.

show abstract

Section: Definition Of Network Throughputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Throughput Gains From Adaptive Transceivers in Nonlinear Elastic Optical Networks

Ives

Alvarado

Savory

2017

J. Lightwave Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…At the same time, more service providers prefer flexible networks where adaptive transceivers can operate multiple data rates, modulation formats, and forward error correction (FEC) overheads for the efficient use of network capacity [5][6][7][8]. For example, it has been shown that the mean loss in throughput per transceiver is nearly proportional to the granularity of the data rate [8].…”

Section: Introductionmentioning

confidence: 99%

Nonlinearity-Tolerant Modulation Formats for Coherent Optical Communications

Kojima¹,

Koike‐Akino²,

Yoshida³

et al. 2018

Selected Topics on Optical Fiber Technologies and Applications

View full text Add to dashboard Cite

Fiber nonlinearity is the main factor limiting the transmission distance of coherent optical communications. We overview several modulation formats intrinsically tolerant to fiber nonlinearity. We recently proposed family of 4D modulation formats based on 2-ary amplitude 8-ary phase-shift keying (2A8PSK), covering the spectral efficiency of 5, 6, and 7 bits/4D symbol, which will be explained in detail in this chapter. These coded modulation formats fill the gap of spectral efficiency between DP-QPSK and DP-16QAM, showing superb performance both in linear and nonlinear regimes. Since these modulation formats share the same constellation and use different parity bit expressions only, digital signal processing can accommodate those multiple modulation formats with minimum additional complexity. Nonlinear transmission simulations indicate that these modulation formats outperform the conventional formats at each spectral efficiency. We also review DSP algorithms and experimental results. Their application to time-domain hybrid modulation for 4-8 bits/4D symbol is also reviewed. Furthermore, an overview of an eight-dimensional 2A8PSK-based modulation format based on a Grassmann code is also given. All these results indicate that the 4D-2A8PSK family show great promise of excellent linear and nonlinear performances in the spectral efficiency between 3.5 and 8 bits/4D symbol.

show abstract

“…AIRs are well understood for point-to-point links and can also be used to analyse the theoretically maximum throughput of a network. This was done for both hard-decision FEC (HD-FEC) and soft-decision FEC (SD-FEC) and different network topologies in [22]. We used the same methodology in [23] to study the effect of the amplifier noise figure on the network throughput.…”

Section: Introductionmentioning

confidence: 99%