Towards converged, collaborative and co-automatic (3C) optical networks

Ji, Yuefeng; Zhang, Jiawei; Wang, Xin; Yu, Hao

doi:10.1007/s11432-018-9551-8

Cited by 67 publications

(29 citation statements)

References 84 publications

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“…In the future, the micro-nano optical sensors can be used in internet of things (IoT) and intelligent optical network. The advanced and unique performance of the micro-nano optical sensors will play an important role in the future development of converged, collaborative and co-automatic optical networks [109].…”

Section: Nanofabrication and Coupling Techniquesmentioning

confidence: 99%

Photonic Crystal Nanobeam Cavities for Nanoscale Optical Sensing: A Review

et al. 2020

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The ability to detect nanoscale objects is particular crucial for a wide range of applications, such as environmental protection, early-stage disease diagnosis and drug discovery. Photonic crystal nanobeam cavity (PCNC) sensors have attracted great attention due to high-quality factors and small-mode volumes (Q/V) and good on-chip integrability with optical waveguides/circuits. In this review, we focus on nanoscale optical sensing based on PCNC sensors, including ultrahigh figure of merit (FOM) sensing, single nanoparticle trapping, label-free molecule detection and an integrated sensor array for multiplexed sensing. We believe that the PCNC sensors featuring ultracompact footprint, high monolithic integration capability, fast response and ultrahigh sensitivity sensing ability, etc., will provide a promising platform for further developing lab-on-a-chip devices for biosensing and other functionalities.Micromachines 2020, 11, 72 2 of 20 microcavities confine the light in a small volume, leading to significant enhancement of light-matter interaction, resulting in ultra-high sensitivity (S) and a low detection limit. When subject to slight environmental changes, the spectral properties change can be obtained, e.g., resonator wavelength shift [20][21][22] and mode broadening [23].The main types of optical microcavities include whispering gallery mode (WGM) cavities, Fabry-Perot (F-P) cavities and photonic crystal (PhC) cavities [24]. Among these, PhC cavities have been investigated as advantageous platforms due to their ultra-high Q/V enabling the enhancement of lightmatter interactions. Particularly, compared with two-dimensional (2D) PhC cavities, one-dimensional photonic crystal nanobeam cavities (1D-PCNCs) attract great attention for their ultra-sensitive optical sensing and lab-on-a-chip applications, owing to their ultra-compact size, ultra-small mode volume, high integrability with bus-waveguide and excellent complementary metal-oxide-semiconductor (CMOS) compatible properties [25][26][27][28][29][30][31][32][33].In this review, we will focus on nanoscale optical sensing based on 1D-PCNCs. The structure of the review is organized as follows. A comprehensive overview about basic properties and sensing mechanisms of 1D-PCNCs sensors is discussed in Section 2. In Section 3, firstly, we introduce the efforts to pursue ultra-high figure of merit (FOM) in refractive index (RI) sensing based on 1D-PCNCs. Secondly, we outline the applications of 1D-PCNC sensors on single nanoparticle and label-free molecule (viruses, proteins and DNAs) detection. Thirdly, a monolithic integrated 1D-PCNC sensor array for multiplexed sensing is introduced explicitly. In addition, we present other sensing applications of 1D-PCNC sensors such as temperature sensing and optomechanical sensing, etc. Next, we review the nanofabrication and coupling techniques in the development of 1D-PCNC sensors in Section 4. Finally, we draw a brief conclusion. Figure 2. (a) Schematic of photonic circuits. The green lines, red boxes and black boxes represe...

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Section: Nanofabrication and Coupling Techniquesmentioning

confidence: 99%

Photonic Crystal Nanobeam Cavities for Nanoscale Optical Sensing: A Review

et al. 2020

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“…Finally, the highest priority and lowest priority of transmission opportunities and transmission capacity under this model are simulated, the theoretical results are verified, and the change rules of transmission opportunity and outage probability with the specific parameters are more intuitive. In the future, the convergence of wireless network and optical network can improve network performance such as large bandwidth, high speed, and low latency [30]. Some scholars have proposed to use optical wireless communication to improve the performance of vehicular communication [31], which is also our next research focus.…”

Section: Discussionmentioning

confidence: 99%

Transmission Capacity Characterization in VANETs with Enhanced Distributed Channel Access

Liu

Huang

et al. 2019

Electronics

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The traditional research on the capacity of the Vehicular Ad Hoc Networks (VANETs) mainly lacks realistic models mimicking the behaviors of vehicles and the MAC protocol applied by IEEE 802.11p. To overcome these drawbacks, in this paper, the network transmission capacity analysis for VANETs is carried out from the perspective of the spatial geometric relationship among different vehicles. Specifically, the transmission scheme in this system is set to mimic enhanced distributed channel access (EDCA) protocol, in which the division of priorities is taken into account both the data type and the transmission distance requirement. Meanwhile, the moving pattern of vehicles is described as the classic car-following model according to realistic characteristics of VANET, and the propagation channel is modeled as a combination of large-scale path-loss and small-scale Rayleigh fading. Based on this model, the transmission opportunity under EDCA protocol is quantified and compared with that of CSMA/CA, and then the outage probability is calculated under the worst interfered scenario. Finally, the transmission capacity is thereby calculated and verified by the simulation results.

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“…Ref. [12], [13] [25] and [26] studied baseband function placement considering different functional splits. Ref.…”

Section: A Ran Evolutionmentioning

confidence: 99%

Isolation-Aware 5G RAN Slice Mapping Over WDM Metro-Aggregation Networks

Musumeci

Zhang

et al. 2020

J. Lightwave Technol.

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To accommodate the heterogeneous requirements of emerging 5G services, 5G Radio Access Network (RAN) will support the rising paradigm of network slicing, where a single physical RAN infrastructure is divided into multiple logical networks characterized by diverse requirements in terms of performance, cost, latency, and security, etc. The optimality of RAN slicing depends on various factors, such as slice requirements, resource availability and adopted network architecture. In 4G, RAN architecture evolved from a distributed architecture towards a 2-layer architecture that separates remote radio heads (RRHs) from baseband processing units (BBUs). However, this architecture has soon shown scalability limitations. To address this problem, the concept of flexible 5G functional split has been proposed, where RAN functions are distributed on a 3-layer architecture featuring a radio unit (RU), a distributed unit (DU), and a central unit (CU). Besides RAN architecture, isolation among different slices, which is necessary for slicing security, has a significant influence on the RAN slicing. In this work, we consider the isolation-aware RAN slice mapping problem considering advanced functional splits and a 3-layer RAN architecture. We propose a dual-objective heuristic algorithm for RAN slice mapping over a physical infrastructure represented by a wavelength division multiplexing (WDM) metro-aggregation networks. The proposed heuristic targets the minimization of 1) the number of active COs (i.e, hosting DUs and/or CUs) and 2) the number of established wavelength channels under constraints of network capacity and latency requirements. As our algorithm is also designed to map the RAN slices with least amount of physical resources for a given level of isolation, we also investigate the impact of slice isolation on resource utilization. Results show how higher isolation results in higher network cost.

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Towards converged, collaborative and co-automatic (3C) optical networks

Cited by 67 publications

References 84 publications

Photonic Crystal Nanobeam Cavities for Nanoscale Optical Sensing: A Review

Photonic Crystal Nanobeam Cavities for Nanoscale Optical Sensing: A Review

Transmission Capacity Characterization in VANETs with Enhanced Distributed Channel Access

Isolation-Aware 5G RAN Slice Mapping Over WDM Metro-Aggregation Networks

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