A Review of Self-Coherent Optical Transceivers: Fundamental Issues, Recent Advances, and Research Directions
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Deliverable D2.2 TERRANOVA System Architecture Work Package 2 - System Requirements, Concept and Architecture
Ref. Ares(2018)1364959 - 13/03/2018 D2.2 – TERRANOVA system architecture This project has received funding from Horizon 2020, European Union’s Framework Programme for Research and Innovation, under grant agreement No. 761794 Deliverable D2.2 TERRANOVA system architecture Work Package 2 - System Requirements, Concept and Architecture TERRANOVA Project Grant Agreement No. 761794 Call: H2020-ICT-2016-2 Topic: ICT-09-2017 - Networking research beyond 5G Start date of the project: 1 July 2017 Duration of the project: 30 months TERRANOVA Project Page 1 of 116 D2.2 – TERRANOVA system architecture Disclaimer This document contains material, which is the copyright of certain TERRANOVA contractors, and may not be reproduced or copied without permission. All TERRANOVA consortium partners have agreed to the full publication of this document. The commercial use of any information contained in this document may require a license from the proprietor of that information. The reproduction of this document or of parts of it requires an agreement with the proprietor of that information. The document must be referenced if used in a publication. The TERRANOVA consortium consists of the following partners. No. Name Short Name Country 1 University of Piraeus Research Center UPRC Greece (Coordinator) 2 Fraunhofer Gesellschaft (FhG-HHI & FhG-IAF) FhG Germany 3 Intracom Telecom ICOM Greece 4 University of Oulu UOULU Finland 5 JCP-Connect JCP-C France 6 Altice Labs ALB Portugal 7 PICAdvanced PIC Portugal TERRANOVA Project Page 2 of 116 D2.2 – TERRANOVA system architecture Document Information Project short name and number TERRANOVA (653355) Work package WP2 Number D2.2 Title TERRANOVA system architecture Version v1.0 Responsible unit FhG Involved units JCP-C, FhG, ICOM, UOULU, UPRC, ALB, PIC Type1 R Dissemination level2 PU Contractual date of delivery 28.02.2018 Last update 12.03.2018 1 Types. -
Novel Index Modulation Techniques: a Survey
IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 21, NO. 1, FIRST QUARTER 2019 315 Novel Index Modulation Techniques: A Survey Tianqi Mao , Student Member, IEEE,QiWang , Member, IEEE, Zhaocheng Wang , Senior Member, IEEE, and Sheng Chen , Fellow, IEEE Abstract—In fifth generation wireless networks, the escalating BICM-ID Bit-Interleaved Coded Modulation with teletraffic and energy consumption has necessitated the devel- Iterative Decoding opment of green communication techniques in order to further BLAST Bell Labs Layered Space-Time enhance both the system’s spectral efficiency and energy effi- ciency. In the past few years, the novel index modulation (IM) BMST Block Markov superposition has emerged as a promising technology that is widely employed transmission in wireless communications. In this paper, we present a survey BPSK Binary Phase Shift Keying on IM in order to provide the readers with a better understand- CD Channel Domain ing of its principles, advantages, and potential applications. We CD-IM Channel-Domain IM start with a comprehensive literature review, where the concept of IM is introduced, and various existing IM schemes are classi- CIR Channel Impulse Response fied according to their signal domains, including the frequency CP Cyclic Prefix domain, spatial domain, time domain and channel domain. Then CPEP Conditioned PEP the principles of different IM-aided systems are detailed, where CSI Channel State Information the transceiver design is illustrated, followed by descriptions of CSIT CSI at the Transmitter typical systems and corresponding performance evaluation. A range of challenges and open issues on IM are discussed before D/A Digital-to-Analog Converter we conclude this survey. -
Release Notes: Junos® OS Release 17.4R3 for the ACX Series, EX Series, MX Series, NFX Series, PTX Series, QFX Series, SRX Series, and Junos Fusion
1 Release Notes: Junos® OS Release 17.4R3 for the ACX Series, EX Series, MX Series, NFX Series, PTX Series, QFX Series, SRX Series, and Junos Fusion 17 September 2021 Contents Introduction | 13 New Features in 17.4R3 | 13 Junos OS Release Notes for ACX Series | 13 New and Changed Features | 14 Release 17.4R3 New and Changed Features | 14 Release 17.4R2 New and Changed Features | 15 Release 17.4R1 New and Changed Features | 15 Changes in Behavior and Syntax | 16 Management | 17 Network Management and Monitoring | 17 Platform and Infrastructure | 18 Security | 19 Software Licensing | 19 Subscriber Management and Services | 19 Known Behavior | 20 General Routing | 20 Known Issues | 21 General Routing | 22 Interfaces and Chassis | 24 2 Layer 2 Features | 24 MPLS | 24 Routing Protocols | 24 Virtual Chassis | 24 Resolved Issues | 25 Resolved Issues: 17.4R3 | 25 Resolved Issues: 17.4R2 | 27 Resolved Issues: 17.4R1 | 29 Documentation Updates | 29 Migration, Upgrade, and Downgrade Instructions | 30 Upgrade and Downgrade Support Policy for Junos OS Releases | 30 Junos OS Release Notes for EX Series Switches | 31 New and Changed Features | 32 Release 17.4R3 New and Changed Features | 33 Release 17.4R2 New and Changed Features | 33 Release 17.4R1 New and Changed Features | 34 Changes in Behavior and Syntax | 39 EVPNs | 39 Interfaces and Chassis | 40 Management | 40 Multicast | 40 Network Management and Monitoring | 40 Platform and Infrastructure | 41 Routing Protocols | 42 Security | 42 Software Licensing | 42 Subscriber Management and Services | -
Space Shift Keying (SSK–) MIMO with Practical Channel Estimates
TRANSACTIONS ON COMMUNICATIONS 1 Space Shift Keying (SSK–) MIMO with Practical Channel Estimates Marco Di Renzo, Member, IEEE, Dario De Leonardis, Fabio Graziosi, Member, IEEE, and Harald Haas, Member, IEEE Abstract— In this paper, we study the performance of space the possibility of realizing low–complexity and spectrally– modulation for Multiple–Input–Multiple–Output (MIMO) wire- efficient MIMO implementations [2]–[7]. The space modu- less systems with imperfect channel knowledge at the receiver. lation principle is known in the literature in various forms, We focus our attention on two transmission technologies, which are the building blocks of space modulation: i) Space Shift Key- such as Information–Guided Channel Hopping (IGCH) [2], ing (SSK) modulation; and ii) Time–Orthogonal–Signal–Design Spatial Modulation (SM) [3], and Space Shift Keying (SSK) (TOSD–) SSK modulation, which is an improved version of SSK modulation [4]. Although different from one another, all these modulation providing transmit–diversity. We develop a single– transmission technologies share the same fundamental working integral closed–form analytical framework to compute the Aver- principle, which makes them unique with respect to conven- age Bit Error Probability (ABEP) of a mismatched detector for both SSK and TOSD–SSK modulations. The framework exploits tional modulation schemes: they encode part of the informa- the theory of quadratic–forms in conditional complex Gaussian tion bits into the spatial positions of the transmit–antennas Random Variables (RVs) along with the Gil–Pelaez inversion in the antenna–array, which plays the role of a constella- theorem. The analytical model is very general and can be used for tion diagram (the so–called “spatial–constellation diagram”) arbitrary transmit– and receive–antennas, fading distributions, for data modulation [1], [7]. -
Product Guide Transceivers, Transponders, and Active Cables for Datacom and Telecom Applications
World’s Largest Supplier of Optical Communication Components and Subsystems Product Guide Transceivers, Transponders, and Active Cables for Datacom and Telecom Applications CFP4 QSFP SFP+ XFP BOA Active Cable Transceivers, Transponders, and Active Cables for Datacom and Telecom Applications Finisar’s broad product selection and innovative technology have made us the optical module manufacturer of choice for all major networking equipment vendors worldwide. We have taken a leading role in transforming the datacommunications and telecommunications equipment market from utilizing discrete optical components to leveraging the design and pay-as-you-grow flexibility offered by pluggable modules. Our products are fully compliant with Ethernet, Fibre Channel, Infiniband, SONET/SDH/OTN and PON standards and operate at data rates up to 100 Gb/s. They are capable of distances ranging from very short reach within a datacenter to campus, access, metro, and long-haul reaches. They feature outstanding performance over extended voltage and temperature ranges, while minimizing jitter, electromagnetic interference (EMI) and power dissipation. Finisar Modules are available in a wide variety of form factors: SFP (copper and optical; longwave, shortwave and WDM) – DatacoM applications using Fast Ethernet, Gigabit Ethernet, 1x/2x/4x Fibre Channel – TelecoM applications using OC-3/STM-1, OC-12/STM-4 and OC-48/STM-16 across all reaches Features • 3.3 V operating voltage • Distances from very short links up to 100+ km SFP • Wide operating temperature range • Metal -
Receive and Transmit Spatial Modulation Techniques for Low Complexity Devices Ali Mokh
Receive and Transmit Spatial Modulation Techniques for Low Complexity Devices Ali Mokh To cite this version: Ali Mokh. Receive and Transmit Spatial Modulation Techniques for Low Complexity Devices. Signal and Image Processing. INSA de Rennes, 2018. English. NNT : 2018ISAR0020. tel-02917937 HAL Id: tel-02917937 https://tel.archives-ouvertes.fr/tel-02917937 Submitted on 20 Aug 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THESE DE DOCTORAT DE L’INSA RENNES COMUE UNIVERSITE BRETAGNE LOIRE ECOLE DOCTORALE N° 601 Mathématiques et Sciences et Technologies de l'Information et de la Communication Spécialité : Télécommunications Par Ali MOKH Receive and Transmit Spatial Modulation Techniques for Low Complexity Devices Unité de recherche : IETR – UMR CNRS 6164 Rapporteurs avant soutenance : Composition du Jury : Geneviève Baudoin Professeur, ESIEE, Paris Jean-Pierre Cances Professeur, ENSIL, Limoges / Laurent Ros Maître de conférences, HDR, Président INP, Grenoble Geneviève Baudoin Professeur, ESIEE, Paris / Rapporteur Laurent Ros Maître de conférences, -
Design Guidelines for Spatial Modulation
IEEE COMMUNICATION SURVEYS & TUTORIALS 1 1 Design Guidelines for Spatial Modulation 2 Ping Yang, Marco Di Renzo, Senior Member, IEEE, Yue Xiao, Shaoqian Li, Senior Member, IEEE,and 3 Lajos Hanzo, Fellow, IEEE 4 Abstract—A new class of low-complexity, yet energy-efficient [7], [8]. In order to efficiently exploit the associated grade of 38 5 Multiple-Input Multiple-Output (MIMO) transmission tech- freedom offered by MIMO channels, a meritorious transmis- 39 6 niques, namely, the family of Spatial Modulation (SM) aided sion technique should be designed to satisfy a diverse range 40 7 MIMOs (SM-MIMO), has emerged. These systems are capable of 41 8 exploiting the spatial dimensions (i.e., the antenna indices) as an of practical requirements and to strike an attractive tradeoff 9 additional dimension invoked for transmitting information, apart amongst the conflicting factors of the computational complexity 42 10 from the traditional Amplitude and Phase Modulation (APM). SM imposed, the attainable bit error ratio (BER) and the achievable 43 11 is capable of efficiently operating in diverse MIMO configurations transmission rate [9], [10]. 44 12 in the context of future communication systems. It constitutes a In the diverse family of MIMO techniques, the recently pro- 45 13 promising transmission candidate for large-scale MIMO design 46 14 and for the indoor optical wireless communication while relying posed spatial modulation (SM) [11] (which was referred to as 15 on a single-Radio Frequency (RF) chain. Moreover, SM may be Information-Guided Channel Hopping (IGCH) modulation in 47 16 also viewed as an entirely new hybrid modulation scheme, which is [12]) is particularly promising, since it is capable of exploiting 48 17 still in its infancy. -
Beyond 400G Technical White Paper Beyond 400G Technical White Paper
Beyond 400G Technical White Paper Beyond 400G Technical White Paper Beyond 400G Technical White Paper Version Date Author Reviewer Remark V1.0 2021/07/13 ZTE ZTE First Released © 2021 ZTE Corporation. All rights reserved. ZTE CONFIDENTIAL: This document contains proprietary information of ZTE and is not to be disclosed or used without the prior written permission of ZTE. Due to update and improvement of ZTE products and technologies, information in this document is subjected to change without notice. All rights reserved. No spreading without permission of ZTE 1 Beyond 400G Technical White Paper Contents 1 Introduction..................................................................................................................................... 3 2 B400G Technologies and Solutions......................................................................................... 4 2.1 B400G Technologies....................................................................................................................4 2.1.1 Forward Error Correction (FEC)..............................................................................................5 2.1.2 Baud Rate and High-Order Modulation Modes.................................................................... 5 2.1.3 Polarization Multiplexing...........................................................................................................6 2.1.4 Special Fibers........................................................................................................................... -
Multidimensional Index Modulation for 5G and Beyond Wireless Networks Seda Dogan,˘ Armed Tusha, Ertugrul Basar, Senior Member, IEEE and Huseyin¨ Arslan, Fellow, IEEE
Dogan˘ et al.: Index Modulation for 5G and Beyond 1 Multidimensional Index Modulation for 5G and Beyond Wireless Networks Seda Dogan,˘ Armed Tusha, Ertugrul Basar, Senior Member, IEEE and Huseyin¨ Arslan, Fellow, IEEE Abstract—Index modulation (IM) provides a novel way for BER Bit Error Rate the transmission of additional data bits via the indices of the BLER Block Error Rate available transmit entities compared to classical communica- BPSK Binary Phase Shift Keying tion schemes. This study examines the flexible utilization of existing IM techniques in a comprehensive manner to satisfy BS Base Station the challenging and diverse requirements of 5G and beyond CFO Carrier Frequency Offset services. After spatial modulation (SM), which transmits in- CIM-SM Code Index Modulation with SM formation bits through antenna indices, application of IM to CIM-SS Code Index Modulation Spread Spec- orthogonal frequency division multiplexing (OFDM) subcarriers trum has opened the door for the extension of IM into different dimensions, such as radio frequency (RF) mirrors, time slots, CI-OFDM-IM Coordinate Interleaved OFDM-IM codes, and dispersion matrices. Recent studies have introduced CFIM Code-Frequency Index Modulation the concept of multidimensional IM by various combinations CP Cyclic Prefix of one-dimensional IM techniques to provide higher spectral CR Cognitive Radio efficiency (SE) and better bit error rate (BER) performance CS Compressed Sensing at the expense of higher transmitter (Tx) and receiver (Rx) complexity. Despite the ongoing research on the design of new CSI Channel State Information IM techniques and their implementation challenges, proper use DL Downlink of the available IM techniques to address different requirements DM Dispersion Matrix of 5G and beyond networks is an open research area in the DMBM Differential Media-based Modulation literature. -
A Scalable Performance-Complexity Trade-Off for Constellation-Randomization in Spatial Modulation Christos Masouros, Senior Member, IEEE, Lajos Hanzo, Fellow, IEEE
1 A Scalable Performance-Complexity Trade-off for Constellation-Randomization in Spatial Modulation Christos Masouros, Senior Member, IEEE, Lajos Hanzo, Fellow, IEEE Abstract—It is widely recognised that traditional single RF- which represent the legitimate sets of activated transmit an- chain aided spatial modulation (SM) does not offer any transmit tennas (TAs). Furthermore, the authors of [10] conceived a diversity gain. As a remedy, constellation randomization (CR), symbol constellation optimization technique for minimizing relying on transmit pre-scaling (TPS), has been shown to provide transmit diversity for single RF-chain aided SM. In this paper the BER. Indeed, spatial- and symbol- constellation shaping we propose a low-complexity approach to SM with the aid of are discussed separately in the above mentioned reference. constellation randomization (SM-CR) that considerably improves By contrast, the design of the received SM constellation the transmit diversity gain of SM at a reduced computational that combines the choice of the TA as well as the transmit burden compared to conventional SM-CR. While conventional symbol constellation, is the focus of this paper. A number SM-CR performs a full search amongst a set of candidate TPS factors in order to achieve the maximum minimum Euclidean of constellation shaping schemes [11]-[14] have also been distance (MED) in the received SM constellation, here we propose proposed for the special case of SM, referred to as Space Shift a thresholding approach, where instead of the maximum MED Keying (SSK), where the information is purely carried in the the TPS aims to satisfy a specific MED threshold. This technique spatial domain, by the activated antenna index (AI). -
Routed Optical Networking the Road to a Converged Network
Routed Optical Networking The Road to a Converged Network AN IDC INFOBRIEF | MARCH 2021 AP241223IB Sponsored by Executive summary Service providers (SPs) have started to transform their networks into 5G transport architectures to address the growing traffic requirements on their networks. However, % 890 MBpm this is quite a complex journey as the layered and siloed 35-50 nature of network infrastructure, along with multi-layered Exabytes/month Annual growth of SP resiliency schemes, often results in poor utilization and 300 traffic in Asia Pacific 400 monetization of network resources. The legacy network architecture also leads to complex 300 management and manual intervention at multiple levels, 200 posing challenges in implementing end-to-end closed-loop automation. 200 $ Billions 230 MBpm Complex transformations like these require tightly- 100 integrated networks that can scale with the future demands 100 of high bandwidth including video streaming, low latency, 80 MBpm and coverage densification. The routed optical networking 12 MBpm solution can enable scale by converging mobile and fixed, 0 0 voice and private line traffic onto a single converged internet 2006 2008 2010 2012 2014 2016 2018 2020 2022 protocol (IP) and optical network. CAPEX ($B) Other traffic (EBpm) Video (EBpm) Source: Cisco Visual Networking Index 2020 This IDC InfoBrief takes a closer look at the SP challenges, and the promise and motivations for Converged IP and optical architecture routed optical networking. will enable total cost of ownership (TCO) savings of up to 45% An IDC InfoBrief | Routed Optical Networking: The Road to a Converged Network 2 SPs are transforming their transport networks to address traffic growth SPs understand that they must transform their transport networks to prepare for the 5G era. -
Silicon Photonics Report
Silicon Photonics Report March 2020 Scope of the Report This report looks at Silicon Photonics from a communication and datacom perspective. It is becoming clear that the attributes that make Silicon Photonics compelling for communication/datacom also apply to the sensor market. We will look at the sensor market in a separate report, but our understanding of the market, verified by our visit to Photonics West, is that the sensor market offers a larger market opportunity than datacom for Silicon Photonics. Examples that steer our opinions: 1. Brolis Semiconductor – showing a very compelling medically focused spectrometer that is based on a silicon integrated circuit which is clearly applicable to not only the professional medical market, but also the consumer medical market 2. Other companies such as Rockley Photonics have used their platform technology to demonstrate numerous sensor applications compatible with markets that would demand hundreds of millions of units per annum. Much like their announcements around the commercialisation of their LightDriver™ products it would surprise us if there were not similar announcements focused on the sensor application products they have been developing Silicon Photonics Report – March 2020 Page | 2 RCL Background Mike Powell is the Managing Director and Partner of Renevo Capital Limited. Mike focuses on the TMT and Advanced Materials sectors. He has 15 years experience advising companies internationally on M&A, financing, and corporate strategy. He is extremely well connected across Europe, the North Americas and China. Mike's speciality is photonics and efficiency technologies, and he brings 30 years of senior level experience in leading, advising, managing and negotiating corporate projects and transactions for both private and public companies.