Design and simulation of all-optical precoder for differential quadrature phase shift keying (DQPSK) modulator

Manohari, R. Gowri; Prince, Shanthi; Sribhashyam, Satyasai

doi:10.1007/s10470-018-1274-6

Cited by 4 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers have employed AO technology in the last few years to design different coding circuits required for optical communication using different techniques like "Mach-Zehnder interferometer (MZI)," "semiconductor-optical amplifier (SOA)," "quantum-dot SOA (QD-SOA)," "terahertz-optical asymmetric de-multiplexers (TOAD)," "optical non-linear material (OPNLM)," and "micro-ring resonator (MRR)." [6][7][8][9][10][11] MZI and TOAD switches have been used to implement the AO Walsh-Hadamard code in Refs. 12-14, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Light, or photons, are the fundamental building block of information and the fastest computing method. Many researchers have employed AO technology in the last few years to design different coding circuits required for optical communication using different techniques like “Mach–Zehnder interferometer (MZI),” “semiconductor-optical amplifier (SOA),” “quantum-dot SOA (QD-SOA),” “terahertz-optical asymmetric de-multiplexers (TOAD),” “optical non-linear material (OPNLM),” and “micro-ring resonator (MRR).” 6 – 11 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generation of all-optical Walsh–Hadamard code using silicon micro-ring resonator

Hossain,

Mondal,

Rakshit

et al. 2024

J. Nanophoton.

View full text Add to dashboard Cite

Silicon micro-ring resonator-based generation of all-optical (2 × 2) Walsh-Hadamard code is proposed. The energy-efficient, ultra-high-speed, and compact nature of micro-ring resonator-based devices is essential for optical computing. Both MATLAB and the Ansys Lumerical finite difference time domain (FDTD) approach are used to implement the generation of all-optical (2 × 2) Walsh-Hadamard code. The proposed design is simulated at about 260 Gbps. In the recommended circuit, the needed pump power for switching is merely 0.84 mW, which is extremely little in contrast. The "figure of merits" of the proposed design is evaluated through numerical simulation. The obtained contrast ratio and extinction ratio are considerably greater at 25.24 and 14.63 dB, respectively. On the other hand, the achieved amplitude modulation of 0.13 dB is extremely low. The on-off ratio for a single micro-ring resonator is 36.9 dB.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generation of all-optical Walsh–Hadamard code using silicon micro-ring resonator

Hossain,

Mondal,

Rakshit

et al. 2024

J. Nanophoton.

View full text Add to dashboard Cite

show abstract

“…In a previous work 19 the authors address the effect of nonlinearity, using carrier suppress return‐to‐zero (RZ) DQPSK with 50‐km fiber length and 10‐Gbps speed. The performance of high data rate OTxN is investigated by implementing DQPSK and EDFA for 4 channel wavelength divison multiplexing (WDM) with 50‐GHz channel spacing in Manohari et al 20 However, in previous works, 16–20 the authors consider either a smaller number of channels or lower transmission speed. Contrary to the existing studies, this paper analyzes DQPSK modulation format under dispersion compensation arrangements to investigate the nonlinear mitigation performance, using 32 channels with 10 Gbps per channel by employing the simplest design.…”

Section: Introductionmentioning

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

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.

show abstract

Next generation WDM-radio over fiber passive optical network: deep neural network based performance analysis

Lawrence,

Shanmuganathan,

Manoharan

et al. 2023

Opt Quant Electron

View full text Add to dashboard Cite

Design and simulation of all-optical precoder for differential quadrature phase shift keying (DQPSK) modulator

Cited by 4 publications

References 12 publications

Generation of all-optical Walsh–Hadamard code using silicon micro-ring resonator

Generation of all-optical Walsh–Hadamard code using silicon micro-ring resonator

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

Next generation WDM-radio over fiber passive optical network: deep neural network based performance analysis

Contact Info

Product

Resources

About