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We use channel probing to determine the best transponder configurations for spectral services in a long-haul production network. An estimation accuracy better than +/- 0,7dB in GSNR margin is obtained for lightpaths up to 5738km.

Networking and Internet Architecture · Computer Science 2021-08-31 Kaida Kaeval , Danish Rafique , Kamil Blawat , Klaus Grobe , Helmut Griesser , Joerg-Peter Elbers , Piotr Rydlichowski , Artur Binczewski , Marko Tikas

Optical Spectrum as a Service (OSaaS) spanning over multiple transparent optical network domains, can significantly reduce the investment and operational costs of the end-to-end service. Based on the black-link approach, these services are…

Networking and Internet Architecture · Computer Science 2023-02-10 K. Kaeval , F. Slyne , S. Troia , E. Kenny , K. Große , H. Griesser , D. C. Kilper , M. Ruffini , J-J Pedreno-Manresa , S. K. Patri , G. Jervan

The potential to operate third-party terminals over multi-domain transparent optical networks attracts operators and customers to implement Optical Spectrum as a Service (OSaaS). As infrastructure information cannot always be shared with…

Networking and Internet Architecture · Computer Science 2021-08-18 Kaida Kaeval , Tobias Fehenberger , Jim Zou , Sander Lars Jansen , Klaus Grobe , Helmut Griesser , Joerg-Peter Elbers , Marko Tikas , Gert Jervan

We propose an approach to estimate the end-to-end GSNR accurately in a short time when a data center interconnect (DCI) network operator receives a service request from users, not by measuring the GSNR at the operational route and…

We investigate C+L+S long-haul systems using a closed-form GN/EGN non-linearity model. We perform accurate launch power and Raman pump optimization. We show a potential 4x throughput increase over legacy C-band systems in 1000 km links,…

Signal Processing · Electrical Eng. & Systems 2024-07-15 Y. Jiang , J. Sarkis , A. Nespola , F. Forghieri , S. Piciaccia , A. Tanzi , M. Ranjbar Zefreh , P. Poggiolini

We investigate methods for experimental performance enhancement of auto-encoders based on a recurrent neural network (RNN) for communication over dispersive nonlinear channels. In particular, our focus is on the recently proposed sliding…

Signal Processing · Electrical Eng. & Systems 2020-05-19 Boris Karanov , Mathieu Chagnon , Vahid Aref , Filipe Ferreira , Domanic Lavery , Polina Bayvel , Laurent Schmalen

The accuracy of a recently-developed closed-form GN nonlinear interference model is evaluated in experimental 1065 km S+C+L band WDM transmission with backward Raman pumping. The model accurately estimates the nonlinear interference and ASE…

In this paper, we propose to use the discretized version of the so-called Enhanced Gaussian Noise (EGN) model to estimate the non-linearity effects of fiber on the performance of optical coherent and uncompensated transmission (CUT)…

Signal Processing · Electrical Eng. & Systems 2020-02-19 Ramin Hashemi , Mehdi Habibi , Hamzeh Beyranvand , Ali Emami , Mahdi Hashemi , Davood Ranjbar Rafie

This letter illustrates our preliminary works in deep nerual network (DNN) for wireless communication scenario identification in wireless multi-path fading channels. In this letter, six kinds of channel scenarios referring to COST 207…

Signal Processing · Electrical Eng. & Systems 2018-11-26 Jun Liu , Kai Mei , Dongtang Ma , Jibo Wei

Wavelength division multiplex (WDM) system with on / off keying (OOK) modulation and direct detection (DD) is generally simple to implement, less expensive and energy efficient. The determination of the possible design capacity limit, in…

Signal Processing · Electrical Eng. & Systems 2018-10-16 Akinwumi Amusan , Elizabeth Amusan

In this paper, deep neural network (DNN) is integrated with spatial modulation-orthogonal frequency division multiplexing (SM-OFDM) technique for end-to-end data detection over Rayleigh fading channel. This proposed system directly…

Signal Processing · Electrical Eng. & Systems 2021-09-16 Ahmed M. Badi , Taissir Y. Elganimi , Osama A. S. Alkishriwo , Nadia Adem

We propose a novel deep learning-based channel estimation technique for high-dimensional communication signals that does not require any training. Our method is broadly applicable to channel estimation for multicarrier signals with any…

Signal Processing · Electrical Eng. & Systems 2019-04-23 Eren Balevi , Jeffrey G. Andrews

Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) based channel estimation has been explored as an efficient…

Hardware Architecture · Computer Science 2023-05-02 Syed Asrar ul haq , Abdul Karim Gizzini , Shakti Shrey , Sumit J. Darak , Sneh Saurabh , Marwa Chafii

In the realm of wireless communication, stochastic modeling of channels is instrumental for the assessment and design of operational systems. Deep learning neural networks (DLNN), including generative adversarial networks (GANs), are being…

Information Theory · Computer Science 2024-10-28 Lee Youngmin , Ma Xiaomin , Lang S. I. D. Andrew , Valderrama-Araya F. Enrique , Chapuis L. Andrew

Optical Wireless Communication (OWC) has gained significant attention due to its high-speed data transmission and throughput. Optical wireless channels are often assumed to be flat, but we evaluate frequency selective channels to consider…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Dianxin Luan , John Thompson

This paper proposes a machine learning-assisted channel estimation approach for massive MIMO systems, leveraging DNNs to outperform traditional LS and MMSE methods. In 5G and beyond, accurate channel estimation mitigates pilot contamination…

Signal Processing · Electrical Eng. & Systems 2025-10-16 Haoran He

Communication at high carrier frequencies such as millimeter wave (mmWave) and terahertz (THz) requires channel estimation for very large bandwidths at low SNR. Hence, allocating an orthogonal pilot tone for each coherence bandwidth leads…

Signal Processing · Electrical Eng. & Systems 2020-12-23 Eren Balevi , Jeffrey G. Andrews

We experimentally investigated the performance of split nonlinearity compensation schemes for single and multi-channel WDM systems. We show that split NLC SNR gains of more than 0.4 dB at 5540 km can be achieved compared to transmitter- or…

Signal Processing · Electrical Eng. & Systems 2024-08-15 Ronit Sohanpal , Eric Sillekens , Jiaqian Yang , Rômulo Aparecido , Zhixin Liu , Robert Killey , Polina Bayvel

Orthogonal delay-Doppler (DD) division multiplexing (ODDM) has been recently proposed as a promising multicarrier modulation scheme to tackle Doppler spread in high-mobility environments. Accurate channel estimation is of paramount…

Signal Processing · Electrical Eng. & Systems 2024-07-10 Yaru Shan , Akram Shafie , Jinhong Yuan , Fanggang Wang

In this paper, we propose adaptive channel-matched detection (ACMD) for C-band 64-Gbit/s intensity-modulation and direct-detection (IM/DD) optical on-off keying (OOK) system over a 100-km dispersion-uncompensated link. The proposed ACMD can…

Signal Processing · Electrical Eng. & Systems 2023-07-19 Haide Wang , Ji Zhou , Dong Guo , Yuanhua Feng , Weiping Liu , Changyuan Yu , Zhaohui Li
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