DOCSLIB.ORG

Network Intelligentizing for Future 6G Wireless Networks

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Network Intelligentizing for Future 6G Wireless Networks Network Intelligentizing for Future 6G Wireless Networks How AI will Enable Network Intelligentizing? Vision for Future Communications Summit, Lisbon, November 2019 Md Arifur Rahman, PhD Network Intelligentizing for Future 6G Wireless Networks Part I A Network Intelligentizing Aspects on Future 6G Networks What will be the future 6G network? Smart connectivity of future 6G networks ❑ Remote radio heads (RRH) ❑ Drones ❑ Visible light communications (VLC) ❑ Base stations (BSs) ❑ Network equipments mounted on moving things e.g., autonomous smart vehicles Network architecture of future 6G ❑ Cell-free smart surfaces with ultra-high frequencies ❑ Temporary hotspots served by drone mounted BSs *The future 6G network architecture which will cover ❑ Network in a spray i.e., Air- everywhere with 6G connections. duct/Water-duct ❑ Using cars as fog/edge devices *Source: https://www.rfwireless-world.com/Terminology/ ❑ Water duct communications The Vision of AI in Future 6G Networks • Wisdom connection in Edge AI Intelligent AC the network connectivity (IC) enabler • AI-assisted massive connectivity • Deep sensing for cloud, AI for wireless Deep DC edge, and computing networks Requirements connectivity (DC) enabler devices • Deep learning (AI) Future 6G Technology for 6G networks enablers • Ubiquitous connection to cover space, air, AI-empowered Ubiquitous UC ground, and sea applications connectivity (UC) enabler • Ubiquitous intelligence for LIS • Seamless coverage Self-definable Holographic HC anywhere using AR/VR networks connectivity (HC) enabler • Holographic radio for PHY layer Network Intelligentizing Aspects on Future 6G Networks ● On-device distributed learning ● Deep learning concept The wave of AI ● AI solutions in wireless networks ● Big-data era is coming ● Increasing of computing power ● Communications Network Network entities ● Content caching intelligentizing for AI-based ● Computing capabilities aspects on future 6G applications networks ● Wireless power transfer ● Flexible, adaptive, and intelligent solutions ● Planning and design ● Operation and management of the networks AI-assisted ● Measurement and monitoring network functionalities ● Radio resource management (RRM) ● Security enhancement Challenges on the Wireless Communication Industry [1/2] Part II B AI enabled network revolution Challenges on the Wireless Communication Industry [1/2] Smart logistics Smart shopping Future 6G networks Future Agriculture Healthcare Automotive Smart shopping vehicles Disaster Smart city recovery Smart home Industrial IoT Massive growth of devices Massive growth of data In 2020, global IoT devices will grew to 50 billion, 6 times ● In 2020, 35 EB per month data traffic will be more than the device in 2011. generated as a mobile data traffic ● In 2020, global data amount will increase upto 40 ZB and it is 50 times more than in 2011 *Source: Comp TIA, CISCO Challenges on the Wireless Communication Industry [2/2] ● Tactile/Haptic internet ● Enhanced 3G ● Wireless World Wide Web ● Fully automated driving ● Voice, Data, & Video ● Interoperability protocol ● High speed, high capacity ● Industrial internet ● Video Telephony ● High speed and IP-based ● Large broadcasting of data ● Digital sensing and reality ● Internet surfing ● 4G, Mobile IP ● 3G, W-CDMA, UMTS in GbPs ● Distributed intelligence 3G (2000) 4G (2010) 5G (2020) 6G (2030) Traditional Network softwarization network architecture ● Data plane and control plane ● Separation of control and data planes are not separated (SDN) ● No programmability ● Network function virtualization (NFV) ● Global picture unavailability ● Cloudification Importance of intelligentizing the future 6G networks ❑ Influence advanced wireless communications and mobile computing technologies ❑ Enable AI-enabled applications at different edge devices of the networks with limited computational capability and energy resources ❑ Scaling up distributed training and inference over the cloud, network edge, and end devices ❑ AI-enabled security enhancement ❑ AI could adaptively adjust and optimize the networks ❑ Realize fully end-to-end automated network architecture Network Intelligentizing Flexibility Large Self- Distributed and sustainability intelligent adaptability intelligence surface (LIS) Roadmap on network intelligentizing Part III C Roadmap on network intelligentizing Potential of AI in Future 6G networks Core network Internet/Cloud User equipment RAT Radio Access Network Small cell Cellular Licensed band (4G, 5G, and 6G) (MHz, THz) vRAN/C-RAN 6G AI Core AI-based cloudification 802.11ax (NG-WiFi), High performance 802.11ay (WiGi2) Shared computing Indoor RRH MEC server Outdoor RRH Artificial intelligence ISM, Other non-cellular mmWave 6G AI RAN Large-scale intelligent surface AI for radio access network optimization ● AI-assisted PHY layer ● AI for network/MAC radio resource management AI for Operation and management of the networks ● Network design and planning ● Critical network management Application of AI in future 6G networks AI for PHY layer AI for operation and management ● Signal detection, classification, and ● Dynamic network orchestration compression ● Dynamic slice management ● Channel encoding and decoding ● Control and policy enforcement ● AI-assisted positioning, sensing, and ● Critical network management localization ● Measurement and monitoring ● Channel estimation and equalization AI applications in ● Security enhancement ● AI compatible edge devices future 6G Networks AI for MAC layer RRM AI for higher layer RRM ● User clustering for cell-free smart surfaces ● AI-assisted brokering mechanism for RAN with ultra-high frequencies slicing ● Dynamic scheduling of resources ● Slice admission control ● Adaptive power control ● Slice scheduling ● Interference management ● Handover management ● Mobility management Open question: How AI will enable network intelligentizing? ❑ AI will enable network intelligentizing based on the following aspects: ❑ Real-time conversations amongst the network entities ❑ Combination of AI-designed underlying network topologies and AI-driven SDN ❑ Intelligent operation and management of the networks ❑ AI in RAN to optimize the network resources ❑ AI-based mobile applications ❑ Intelligent wireless communication ❑ Proactive maintenance Contact details Md Arifur Rahman Phone +48 22 123 8297 [email protected] IS-Wireless, Mobile: +48 663 268 958 ul. Puławska 45b www.is-wireless.com 05-500 Piaseczno / near Warsaw Poland [email protected].
Load more

Recommended publications
  • Cisco ISR1100-4G, 1100-4GLTE and 1100-6G Routers
    Data sheet Cisco public Cisco ISR1100-4G, 1100-4GLTE and 1100-6G Routers © 2020 Cisco and/or its affiliates. All rights reserved. Page 1 of 10 Contents Primary features and benefits 4 Platform architecture and capabilities 4 Product specifications 6 System specifications 6 Cisco IOS software licensing and packaging 8 Cisco and partner services 9 Ordering information 9 Cisco environmental sustainability 10 Cisco Capital 10 For more information 10 © 2020 Cisco and/or its affiliates. All rights reserved. Page 2 of 10 Part of the Cisco® 1000 Series Integrated Services Routers (ISR), the ISR 1100-4G, ISR1100-4GLTE and ISR 1100-6G models are powered by the Viptela® operating system and combine WAN and comprehensive security in a wired high-performance platform. The ISR 1100-4G, 1100-4GLTE and 1100-6G combine an enterprise grade platform with best-in-class SD-WAN. Cisco Software-Defined WAN (SD-WAN) is a cloud-first architecture that provides unparalleled visibility across your WAN, optimal connectivity for end users, and the most comprehensive security platform to protect your network. Cisco SD-WAN provides transport independence, rich network, and security services as well as endpoint flexibility. The ISR 1100-4G, 1100-6G and 1100-4GLTE routers are delivered as platforms that sit at the perimeter of a site, such as a remote office, branch office, campus, or data center. They participate in establishing a secure virtual overlay network over a mix of any WAN transports. Figure 1. ISR 1100-4G, front and back view Figure 2. ISR 1100-6G, front view; back view same as ISR 1100-4G above Figure 3.
    [Show full text]
  • Enabling Massive Iot Toward 6G: a Comprehensive Survey Fengxian Guo, F
    1 Enabling Massive IoT Toward 6G: A Comprehensive Survey Fengxian Guo, F. Richard Yu, Fellow, IEEE, Heli Zhang, Xi Li, Hong Ji, Senior Member, IEEE, and Victor C.M. Leung, Fellow, IEEE Abstract—Nowadays, many disruptive Internet of things (IoT) in the future, including holographic communications, five- applications emerge, such as augmented/virtual reality (AR/VR) sense communications, and wireless brain-computer interfaces online games, autonomous driving, and smart everything, which (WBCI), which will lead to a true immersion into a distant are massive in number, data-intensive, computation-intensive, and delay-sensitive. Due to the mismatch between the fifth gen- environment. At the same time, advances in personal com- eration (5G) and the requirements of such massive IoT-enabled munications will promote the evolution of smart verticals in applications, there is a need for technological advancements and the fifth generation networks (5G) to a higher level, including evolutions for wireless communications and networking toward healthcare, remote education/training, industry Internet, fully the sixth generation (6G) networks. 6G is expected to deliver autonomous driving, and super smart homes/cities. During extended 5G capabilities at a very high level, such as Tbps data rate, sub-ms latency, cm-level localization, and so on, this paradigm shift, the Internet of Things (IoT) plays a vital which will play a significant role in supporting massive IoT role in enabling these emerging applications by connecting devices to operate seamlessly with highly diverse service require- the physical environment to the cyberspace of communication ments. Motivated by the aforementioned facts, in this paper, systems [1]. we present a comprehensive survey on 6G-enabled massive IoT.
    [Show full text]
  • 5G Massive Iot Access in the Coming Decades
    IoT & Industry 4.0 in the 5G era Huawei's perspective Koby Levy Director of Digital Transformation & IoT About me Huawei is passionate about intelligent communications & IoT and is investing in innovations, and collaborations in the areas of : 5G 5.5G & 6G Fixed & Mobile Convergence IIOT, C-V2X,SmartXXX… Native Cloud Edge computing AI Devices, Cameras, Chipsets, CPEs and other hardware and more… Working with Telecom Operators, Enterprise Clients, Consumers , Industry and Technology Partners globally Huawei © 2021 MWC Barcelona Platinum Sponsor Evolution Current affairs 5G Era A Decade Outlook Evolution 5 Huawei © 2021 MWC Barcelona Evolution into 5G Era eMBB Personal GPRS/EDGE HSPA/HSPA+ 4.5G Evolve + Experience IoT 2G 3G 4G 5G Enhance Voice Internet Mobile Internet of Broadband Everything mMTC URLLC Industrial + Application 6 Huawei © 2021 MWC Barcelona Evolution of Mobile IoT LTE 7 Huawei © 2021 MWC Barcelona 7 Evolution of Mobile IoT From LTE to 5G 2017 2018 2020 2021 LTE 5G phase1 5G phase2 5G Enhanced ◼Rel-13 Rel-14 Rel-15 Rel-16 Rel-17 advanced ✓ 20 dB coverage ✓ Peak rate > 100 kbit/s ✓ Latency reduction ✓ Coexistence with 5G NR ✓ DL16QAM (248kbps) ✓ Large connection ✓ Multi-carrier enhancement ✓ Reduced terminal power consumption✓ Connection to the 5G Core ✓ Diverse-service efficiency ✓ Low power consumption ✓ Positioning (ECID and OTDOA) ✓ Mixed mode multi-carrier ✓ Latency & Mobility enhancement ✓ Lower mobility latency ✓ Low cost ✓ Terminal power consumption reduction ✓ New PRACH format ✓ SON ✓ Mobility enhancement ✓ 15 dB coverage
    [Show full text]
  • 1G, 2G, 3G, 4G, 5G
    1G, 2G, 3G, 4G, 5G By: Simon Johansen G? • G Generation • Generation of wireless phone technology 1G • Frequency: 150MHz / • From 1980 to 1990 900MHz • Bad voice quality • Bandwidth: Analog • Poor battery, cellphones telecommunication • Big cellphones (30KHz) • Characteristic: First • Better than nothing, at wireless communication least its wireless and • Technology: Analog mobile cellular • Capacity (data rate): 2kbps 2G • Frequency: 1.8GHz • From 1991 to 2000 (900MHz), digital • Allows txt msg service telecommunication • Signal must be strong or • Bandwidth: 900MHz else weak digital signal (25MHz) • Characteristic: Digital • 2.5G • Technology: Digital – 2G cellular technology with cellular, GSM GPRS • Capacity (data rate): – E-Mails 64kbps – Web browsing – Camera phones • Why better than 1G? 3G • Frequency: 1.6 – 2.0 • From 2000 to 2010 GHz • Called smartphones • Bandwidth: 100MHz • Video calls • Characteristic: Digital • Fast communication broadband, increased • Mobil TV speed • 3G phones rather • Technology: CDMA, expensive UMTS, EDGE • Capacity (data rate): 144kbps – 2Mbps • Why better than 2G? 4G • Frequency: 2 – 8 GHz • From 2010 to today (2020?) • Bandwidth: 100MHz • MAGIC • Characteristic: High – Mobile multimedia speed, all IP – Anytime, anywhere • Technology: LTE, WiFi – Global mobile support • Capacity (data rate): – Integrated wireless 100Mbps – 1Gbps solutions – Customized personal service • Why better than 3G? • Good QoS + high security • Bigger battery usage 5G • https://5g.co.uk/guides • From X (2020?) to Y /5g-frequencies-in-the-
    [Show full text]
  • MEMS INERTIAL SENSOR: 3-Axis - +/-2G/6G Ultracompact Linear Accelerometer
    LIS3L06AL MEMS INERTIAL SENSOR: 3-axis - +/-2g/6g ultracompact linear accelerometer Features ■ 2.4V to 3.6V single supply operation ■ Low power consumption ■ ±2g/±6g user selectable full-scale ■ 0.5mg resolution over 100hz bandwidth LGA-8 ■ Embedded self test ■ Output voltage, offset and sensitivity ratiometric to the supply voltage to design a dedicated circuit which is trimmed to ■ High shock survivability better match the sensing element characteristics. ■ ECOPACK® Lead-free compliant The LIS3L06AL has a dynamically selectable full (see Section 6) scale of ±2g/±6g and it is capable of measuring accelerations over a bandwidth of 1.5 kHz for all Description axes. The device bandwidth may be reduced by using external capacitances. A self-test capability The LIS3L06AL is a low-power 3-axis linear allows to check the mechanical and electrical capacitive accelerometer that includes a sensing signal path of the sensor. element and an IC interface able to take the The LIS3L06AL is available in plastic SMD information from the sensing element and to package and it is guaranteed to operate over an provide an analog signal to the external world. extended temperature range of -40°C to +85°C. The sensing element, capable of detecting the The LIS3L06AL belongs to a family of products acceleration, is manufactured using a dedicated suitable for a variety of applications: process developed by ST to produce inertial sensors and actuators in silicon. – Mobile terminals – Gaming and Virtual Reality input devices The IC interface is manufactured using a standard – Free-fall detection for data protection CMOS process that allows high level of integration – Antitheft systems and Inertial Navigation – Appliance and Robotics.
    [Show full text]
  • 6G Fundamentals: Vision & Enabling Technologies
    6G Fundamentals: Vision & Enabling Technologies Towards Trustworthy Solutions & Resilient Systems Author: David Soldani Published by 6GWorld, 15 June 2021 Link:https://www.6gworld.com/latest-research/6g-fundamentals-vision-and-enabling-technologies/ Reference number: 6GW02 Page | 1 6G Gains Momentum While the next generation of mobile connectivity still lies roughly a decade ahead, the number of 6G initiatives ongoing globally, and corresponding investments provide an intriguing prospect for the future. Public and private sectors have already started investing in research and innovation (R&I) actions to tackle requirements that 6G will probably demand when it reaches commercial reality around 2030 (Castro, 2021, 5G Americas, 2021b). These include use cases promised in 5G networks but not yet realised, and more advanced scenarios that are emerging in the context of next generation/6G networks such as Terahertz frequencies, holoportation, tactile/haptic communications, ubiquitous services (land, air, space, sea), medical/health services, government/national security, imaging and sensing, first responder/emergency services, cyber-physical systems/manufacturing, and transportation services. Some examples of relevant use cases and corresponding technology requirements are shown in Figure 1 (5G Americas, 2021b). For more information and other usage scenarios towards 6G, the reader may refer to, e.g., (6G Flagship, 2021a, 6GIC Vision, 2021). Specific international efforts by leading nations in the wireless cellular industry and relevant Beyond 5G (B5G) and 6G initiatives and related investments are illustrated in Figure 2. In Europe, within the EU Horizon 2020 R&I framework programme, three recent joint projects focused on 6G development have been announced: Hexa-X, RISE-6G, and NEW-6G.
    [Show full text]
  • Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions
    S S symmetry Review Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions Mohammed H. Alsharif 1 , Anabi Hilary Kelechi 2, Mahmoud A. Albreem 3, Shehzad Ashraf Chaudhry 4 , M. Sultan Zia 5 and Sunghwan Kim 6,* 1 Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea; [email protected] 2 Department of Electrical Engineering and Information Engineering, College of Engineering, Covenant University, Canaanland, Ota P.M.B 1023, Ogun State, Nigeria; [email protected] 3 Department of Electronics and Communications Engineering, A’Sharqiyah University, Ibra 400, Oman; [email protected] 4 Department of Computer Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Avcılar, 34310 Istanbul,˙ Turkey; [email protected] 5 Department of Computer Science and IT, University of Lahore, Gujrat Campus 50180, Pakistan; [email protected] 6 School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea * Correspondence: [email protected]; Tel.: +82-52-259-1401 Received: 28 March 2020; Accepted: 21 April 2020; Published: 24 April 2020 Abstract: The standardization activities of the fifth generation communications are clearly over and deployment has commenced globally. To sustain the competitive edge of wireless networks, industrial and academia synergy have begun to conceptualize the next generation of wireless communication systems (namely, sixth generation, (6G)) aimed at laying the foundation for the stratification of the communication needs of the 2030s. In support of this vision, this study highlights the most promising lines of research from the recent literature in common directions for the 6G project.
    [Show full text]
  • Fronthaul Design for Wireless Networks
    applied sciences Article Fronthaul Design for Wireless Networks Ivo Sousa * , Nuno Sousa, Maria Paula Queluz and António Rodrigues Instituto de Telecomunicações, IST, University of Lisbon, 1049-001 Lisbon, Portugal; [email protected] (N.S.); [email protected] (M.P.Q.); [email protected] (A.R.) * Correspondence: [email protected]; Tel.: +351-218-418-454 Received: 12 June 2020; Accepted: 8 July 2020; Published: 10 July 2020 Abstract: Cloud Radio Access Network (C-RAN) architectures have arisen as an alternative to traditional wireless network architectures, notably by taking advantage of the functional split between the multiple distributed Remote Radio Heads (RRHs) and the centralized Baseband Units (BBUs), through the creation of a new connectivity segment—the fronthaul. In order to maximize the investment return, it is important to find out, for this C-RAN segment, which technologies provide cost-effective solutions. This paper addresses this issue by evaluating and comparing the performance of Microwave Radio Transmission (MRT), Free Space Optics (FSO), and Fiber Optics (FO) technologies when applied to the fronthaul. First, a methodology is provided to determine the most cost-effective solution for each RRH–BBU link, as well as to compute the required number of BBUs and where they should be positioned in order to minimize the overall network costs. Next, a cost-effectiveness comparison of the aforementioned communication technologies is presented for individual fronthaul segments under different weather conditions, link lengths, and bit rate requirements. Moreover, an assessment is performed regarding the impact of the RRH density on the selection of cost-effective communication technologies for C-RANs.
    [Show full text]
  • Sparse Code Multiple Access for 6G Wireless Communication
    1 Sparse Code Multiple Access for 6G Wireless Communication Networks: Recent Advances and Future Directions Lisu Yu, Member, IEEE, Zilong Liu, Senior Member, IEEE, Miaowen Wen, Senior Member, IEEE, Donghong Cai, Member, IEEE, Shuping Dang, Member, IEEE, Yuhao Wang, Senior Member, IEEE, and Pei Xiao, Senior Member, IEEE Abstract As 5G networks rolling out in many different countries nowadays, the time has come to investigate how to upgrade and expand them towards 6G, where the latter is expected to realize the interconnection of everything as well as the development of a ubiquitous intelligent mobile world for intelligent life. To Copyright (c) 2021 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to [email protected]. L. Yu is with the School of Information Engineering, Nanchang University, Nanchang 330031, China, also with the State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China (e-mail: [email protected]). Z. Liu is with School of Computer Science and Electronics Engineering, University of Essex, Colchester CO4 3SQ, U.K. arXiv:2104.01402v1 [eess.SP] 3 Apr 2021 (e-mail: [email protected]). M. Wen is with the School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China (e-mail: [email protected]). D. Cai is with the College of Cyber Security, Jinan University, Guangzhou 510632, China (e-mail: [email protected]). S. Dang is with Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia (e-mail: [email protected]).
    [Show full text]
  • Development of Xg Active Mobile Networks
    TEM Journal. Volume 9, Issue 1, Pages 149‐157, ISSN 2217‐8309, DOI: 10.18421/TEM91-21, February 2020. Development of xG Active Mobile Networks Matija Varga North University, Trg Žarka Dolinara 1, 43000 Koprivnica, Republic of Croatia Abstract – The first part of the research aims to: The aim of the paper is also to obtain feedback describe theoretical concepts of 5G connection, list the from the respondents: (1) what type of cell phone advantages and disadvantages, give examples of 5G respondents use, (2) what connection speed or active connection in science and technology. The second part network they use on their mobile device, (3) whether of the paper identifies the key aspects of the survey: respondents know what "AirFlash 5G Microwave what cellphone respondents use, what active network they use, whether they know what the Air Flash 5G Enterprise Solution" is i.e., whether respondents Microwave Enterprise Solution is, whether they know heard of the most advanced 5G connection option, that they will perform authentication on the 5G (4) whether respondents knew that due to the new network because of the new architecture between third architecture, authentication on the 5G network would parties, whether storing configuration secrets in plain, have to be performed between third parties such as unencrypted text can cause system vulnerability, agree service providers, (5) whether respondents know that with the statement that a 5G connection will increase it is simple to send IP packets with a fake source IP the possibility of accelerated attack on mobile devices, address, (6) whether respondents knew that storing whether the 6G network will soon be implemented and configuration secrets in plain, unencrypted text could when it could be used for commercial purposes, which cause system vulnerability and threat to mobile is the opinion of the respondents about the possibilities of implementing the latest generation of 7G network.
    [Show full text]
  • 6G Mobile Networks: Emerging Technologies and Applications Ying-Chang Liang, Dusit Niyato, Erik G Larsson and Petar Popovski
    6G mobile networks: Emerging technologies and applications Ying-Chang Liang, Dusit Niyato, Erik G Larsson and Petar Popovski The self-archived postprint version of this journal article is available at Linköping University Institutional Repository (DiVA): http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170982 N.B.: When citing this work, cite the original publication. Liang, Y., Niyato, D., Larsson, E. G, Popovski, P., (2020), 6G mobile networks: Emerging technologies and applications, China Communications, 17(9), 90-91. https://doi.org/10.23919/JCC.2020.9205979 Original publication available at: https://doi.org/10.23919/JCC.2020.9205979 Copyright: Institute of Electrical and Electronics Engineers http://www.ieee.org/index.html YOU X H, et al. Sci China Inf Sci 1 SCIENCE CHINA Information Sciences . REVIEW . Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts Xiaohu YOU1,2*, Cheng-Xiang WANG1,2*, Jie HUANG1,2, Xiqi GAO1,2, Zaichen ZHANG1,2, Mao WANG1,2, Yongming HUANG1,2, Chuan ZHANG1,2, Yanxiang JIANG1,2, Jiaheng WANG1,2, Min ZHU1,2, Bin SHENG1,2, Dongming WANG1,2, Zhiwen PAN1,2, Pengcheng ZHU1,2, Yang YANG3,4, Zening LIU3, Ping ZHANG5, Xiaofeng TAO6, Shaoqian LI7, Zhi CHEN7, Xinying MA7, Chih-Lin I8, Shuangfeng HAN8, Ke LI8, Chengkang PAN8, Zhimin ZHENG8, Lajos HANZO9, Xuemin (Sherman) SHEN10, Yingjie Jay GUO11, Zhiguo DING12, Harald HAAS13, Wen TONG14, Peiying ZHU14, Ganghua YANG15, Jun WANG16, Erik G. LARSSON17, Hien Quoc NGO18, Wei HONG19,2, Haiming WANG19,2, Debin HOU19,2, Jixin CHEN19,2, Zhe CHEN19,2, Zhangcheng HAO19,2, Geoffrey Ye LI20, Rahim TAFAZOLLI21, Yue GAO21, H.
    [Show full text]
  • Before the FEDERAL COMMUNICATIONS COMMISSION Washington, D.C
    Before the FEDERAL COMMUNICATIONS COMMISSION Washington, D.C. 20554 In the Matter of ) ) Promoting the Deployment of 5G Open Radio ) GN Docket No. 21-63 Access Networks ) COMMENTS OF MAVENIR SYSTEMS, INC. Mavenir Systems, Inc. Caressa D. Bennet E. Alex Espinoza Womble Bond Dickinson (US) LLP 1200 19th Street, N.W. Suite 500 Washington, D.C. 20036 (202) 467-6900 Counsel for Mavenir Systems, Inc. Table of Contents I. THE PRESENT STATE OF OPEN RAN AND ITS STANDARDS ................................ 7 A. Current Ecosystem ........................................................................................................... 7 B. Current State of Standards and Foreign-Owned Incumbent Control Over Standards- Setting Bodies ............................................................................................................................. 9 C. eCPRI is Not an Alternative to Open RAN.................................................................... 12 II. OPEN RAN IS DEPLOYMENT-READY AND IN USE NOW ..................................... 14 A. Open RAN Domestic Deployments ............................................................................... 15 B. Open RAN International Deployments .......................................................................... 17 C. Open RAN Benefits ....................................................................................................... 19 D. Costs and Deployability ................................................................................................. 20 E. Disaggregation
    [Show full text]