scholarly journals Recent Advances in DSP Techniques for Mode Division Multiplexing Optical Networks with MIMO Equalization: A Review

2019 ◽  
Vol 9 (6) ◽  
pp. 1178 ◽  
Author(s):  
Yi Weng ◽  
Junyi Wang ◽  
Zhongqi Pan

This paper provides a technical review regarding the latest progress on multi-input multi-output (MIMO) digital signal processing (DSP) equalization techniques for high-capacity fiber-optic communication networks. Space division multiplexing (SDM) technology was initially developed to improve the demanding capacity of optic-interconnect links through mode-division multiplexing (MDM) using few-mode fibers (FMF), or core-multiplexing exploiting multicore fibers (MCF). Primarily, adaptive MIMO filtering techniques were proposed to de-multiplex the signals upon different modes or cores, and to dynamically compensate for the differential mode group delays (DMGD) plus mode-dependent loss (MDL) via DSP. Particularly, the frequency-domain equalization (FDE) techniques suggestively lessen the algorithmic complexity, compared with time-domain equalization (TDE), while holding comparable performance, amongst which the least mean squares (LMS) and recursive least squares (RLS) algorithms are most ubiquitous and, hence, extensively premeditated. In this paper, we not only enclose the state of the art of MIMO equalizers, predominantly focusing on the advantage of implementing the space–time block-coding (STBC)-assisted MIMO technique, but we also cover the performance evaluation for different MIMO-FDE schemes of DMGD and MDL for adaptive coherent receivers. Moreover, the hardware complexity optimization for MIMO-DSP is discussed, and a joint-compensation scheme is deliberated for chromatic dispersion (CD) and DMGD, along with a number of recent experimental demonstrations using MIMO-DSP.

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Farman Ali ◽  
Yousaf Khan ◽  
Amjad Ali ◽  
Gulzar Ahmad

AbstractHigh-capacity and long-haul transmission gained great significance in modern communication networks. Optical fiber communication system is good enough to face the high demand of current telecom terrific. This paper will propound the theoretical model showing nonlinear factors which degrade the transmission performances of high-capacity long-haul network. The postulatory model will be validated using simulation of key nonlinear factors such as effective area, launch power, refractive index and fiber length. The transmission performance of the high-capacity long-haul optical network would be analyzed on the basis of some key parameters such as bit error rate and signal-to-noise ratio. Mitigation of nonlinear impairments shows significant impact on transmission performances of high-capacity long-haul optical networks.


2021 ◽  
Vol 11 (4) ◽  
pp. 1363
Author(s):  
Zhiqun Yang ◽  
Wenbo Yu ◽  
Guanju Peng ◽  
Yaping Liu ◽  
Lin Zhang

This paper provides an overview of latest progress on the novel advanced digital signal processing (DSP) techniques for long-haul mode division multiplexing (MDM) systems with high capacity. Space-division multiplexing (SDM) techniques have been developed for a period to increase the capacity of optical communication system by at least one order of magnitude through MDM techniques using few-mode fibers (FMFs) or multi-core multiplexing (MCM) using multi-core fibers (MCFs). The signals in MDM links are mainly impaired by the linear and nonlinear effects in FMFs, making DSP techniques become necessary to undo these impairments. In this paper, we not only review the advanced multiple-input multiple-output (MIMO) DSP techniques for compensating linear impairments in FMFs, but also enclose the state of the art of novel DSP techniques to deal with nonlinear effects. Firstly, we introduce the MIMO schemes for equalizing modal crosstalk and modal dispersion. Then, we focus on the fast tracking of time-varying (TV) channels in FMF links through frequency-domain (FD) recursive least square (RLS) algorithm. Besides, we also cover the mainstream DSP solutions for mode-dependent loss (MDL) and several possible methods to compensate nonlinearity in FMF. Moreover, artificial intelligence (AI) technologies are also discussed for its high nonlinearity tolerance and may bring a revolution in MDM systems on the process of channel equalization, link monitoring, etc. In the end, a brief conclusion and perspective will be provided.


Respuestas ◽  
2015 ◽  
Vol 20 (2) ◽  
pp. 6 ◽  
Author(s):  
Jhon James Granada-Torres ◽  
Ana María Cárdenas-Soto ◽  
Neil Guerrero-González

ResumenEl tráfico en las redes de datos por fibra óptica ha tenido un crecimiento exponencial debido a la creciente demanda de información por parte de los usuarios finales, llevando a una saturación en la capacidad de las redes actuales. Proyectando los sistemas de transmisiones ópticos a tasas superiores a los 400 Gbps para redes de largo alcance, no será posible mantener la tecnología WDM de rejilla espectral fija de 50 GHz, la cual permite transmitir en la actualidad tasas hasta los 100 Gbps. Teniendo como limitación además del ancho espectral que ocuparía la información, la conmutación de los dispositivos para trabajar a altas frecuencias. En este contexto, surge el concepto de las redes ópticas elásticas, donde se emplea una rejilla de espectro flexible (flexi-grid) o sin rejilla (grid-less), con ancho espectral variable por canal según la demanda de ancho de banda, permitiendo una separación espectral flexible entre canales con el propósito de optimizar la eficiencia en el uso del espectro. Este artículo hace una revisión de los nuevos conceptos tecnológicos que conllevan el escenario de redes elásticas, y los posibles retos y limitaciones para el desarrollo de estas tecnologías. Recientes pruebas experimentales incorporan nuevos conceptos tecnológicos con relación a los ya comerciales sistemas de 100-G como: el diseño de transmisores multicanales, el uso de tecnologías como Nyquist-WDM y OFDM óptico flexible, receptores digitales coherentes reconfigurables, formatos de modulación m-arios e híbridos y asignación dinámica del espectro. No obstante, grandes limitantes como los efectos no lineales de la fibra óptica deben ser foco de investigación en este nuevo escenario, debido a sus efectos en la degradación de la señal. Finalmente, se muestra como las técnicas de procesamiento digital de señales desempeñarán un papel importante para lograr la reconfigurabilidad y elasticidad de las redes de alta capacidad.AbstractIn the last years, traffic on data optical networks has had an exponential growth due to the increasing demand of information by end users. This had lead to saturation of the current deployed networks in terms of capacity. Planning the optical transmission systems of long-reach to work with capacities above 400 Gbps, it will not be possible to keep the spectral fixed-grid of the WDM technology, which currently allows transmitting up to 100 Gbps. The principal limitation is due to the greater spectral bandwidth occupied by the data information and also due to the switching of electronics devices at high frequencies. In this context a new concept known as elastic optical network emerges, which proposes a flexible-grid or gridless, where the spectral width changes according to the bandwidth demand and allows optimizing the spectral efficiency with a minimum separation between adjacent channels. In this paper, we present a comprehensive survey of elastic optical networks, introducing new concepts and describing the challenges and the limitations in these networks. Recent experimental reports show new technological concepts related to the commercials 100-G systems such as: design of multichannels transmitters, gridless Nyquist-WDM and Optical-OFDM, reconfigurable digital coherent receivers, optical dynamic spectrum allocation and advanced modulation formats. Nevertheless, the nonlinearity effects of the optical fiber are a significant limitation that must be researched in detail in this new elastic scenario. Hence, it is shown how the digital signal processing techniques are going to play an important role in order to get high capacity in elastic and reconfigurable networksPalabras clave: Comunicaciones por Fibra Óptica, Enrutamiento, Interferencia Intercanal (ICI), Multiplexación por División de Longitud de Onda, Óptica No-Lineal, Procesamiento Digital de Señales (DSP), Redes Ópticas.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Francesco Morichetti ◽  
Maziyar Milanizadeh ◽  
Matteo Petrini ◽  
Francesco Zanetto ◽  
Giorgio Ferrari ◽  
...  

AbstractFlexible optical networks require reconfigurable devices with operation on a wavelength range of several tens of nanometers, hitless tuneability (i.e. transparency to other channels during reconfiguration), and polarization independence. All these requirements have not been achieved yet in a single photonic integrated device and this is the reason why the potential of integrated photonics is still largely unexploited in the nodes of optical communication networks. Here we report on a fully-reconfigurable add-drop silicon photonic filter, which can be tuned well beyond the extended C-band (almost 100 nm) in a complete hitless (>35 dB channel isolation) and polarization transparent (1.2 dB polarization dependent loss) way. This achievement is the result of blended strategies applied to the design, calibration, tuning and control of the device. Transmission quality assessment on dual polarization 100 Gbit/s (QPSK) and 200 Gbit/s (16-QAM) signals demonstrates the suitability for dynamic bandwidth allocation in core networks, backhaul networks, intra- and inter-datacenter interconnects.


2014 ◽  
Vol 631-632 ◽  
pp. 860-863 ◽  
Author(s):  
Xiao Xue Gong ◽  
Hui Li ◽  
Peng Chao Han ◽  
Yu Fang Zhou

Orthogonal Frequency Division Multiplexing (OFDM) has gained great attention in the next generation Long-Reach Passive Optical Network (LR-PON) due to its high spectrum efficiency, flexible resource allocation and natural compatibility with Digital Signal Processing (DSP)-based implementation. In this paper, we propose and demonstrate a 40Gbit/s direct-detection long reach OFDM-PON system for downstream transmission over 100km standard signal mode fiber (SSMF). By using a simple Least Square (LS) method for the channel estimation, our proposed system achieves high bit rate without the need for chromatic dispersion compensation.


Optica ◽  
2017 ◽  
Vol 4 (9) ◽  
pp. 1098 ◽  
Author(s):  
Yule Xiong ◽  
Rubana B. Priti ◽  
Odile Liboiron-Ladouceur

2021 ◽  
Vol 27 (3) ◽  
pp. 57-70
Author(s):  
Damjan M. Rakanovic ◽  
Vuk Vranjkovic ◽  
Rastislav J. R. Struharik

Paper proposes a two-step Convolutional Neural Network (CNN) pruning algorithm and resource-efficient Field-programmable gate array (FPGA) CNN accelerator named “Argus”. The proposed CNN pruning algorithm first combines similar kernels into clusters, which are then pruned using the same regular pruning pattern. The pruning algorithm is carefully tailored for FPGAs, considering their resource characteristics. Regular sparsity results in high Multiply-accumulate (MAC) efficiency, reducing the amount of logic required to balance workloads among different MAC units. As a result, the Argus accelerator requires about 170 Look-up tables (LUTs) per Digital Signal Processor (DSP) block. This number is close to the average LUT/DPS ratio for various FPGA families, enabling balanced resource utilization when implementing Argus. Benchmarks conducted using Xilinx Zynq Ultrascale + Multi-Processor System-on-Chip (MPSoC) indicate that Argus is achieving up to 25 times higher frames per second than NullHop, 2 and 2.5 times higher than NEURAghe and Snowflake, respectively, and 2 times higher than NVDLA. Argus shows comparable performance to MIT’s Eyeriss v2 and Caffeine, requiring up to 3 times less memory bandwidth and utilizing 4 times fewer DSP blocks, respectively. Besides the absolute performance, Argus has at least 1.3 and 2 times better GOP/s/DSP and GOP/s/Block-RAM (BRAM) ratios, while being competitive in terms of GOP/s/LUT, compared to some of the state-of-the-art solutions.


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