Realme 5G down to $145 ** 80M 5G subscribers in Q2, 100M August prove 5G is real.** 5G Worldwide: Saudi first, USA last** 5G Phones $199-260
China is > 70% of 5G as subs pass 80M ** Primary: Cost per bit of wireless is falling at a ferocious rate
5X Advance for Africa with Massive MIMO ** Spectrum Marvell: 5 nm 20-40% better ** $400 TCL REVLL 5G at T-Mobile: Here comes 5G in the USA
$Hundreds of millions in extra chip costs prove Open-RAN not quite ready
Tim Cook claims Apple's "A12 Bionic is the smartest, most powerful chip in a smartphone." He's probably mistaken because Huawei's Kirin 980 will probably beat it by some measures and do about as well as Apple in many others. Both are great chips, produced on the same TSMC assembly line. Hundreds or more likely thousands of first-rate engineers worked for years on both. Neither is significantly superior; Qualcomm, Samsung, and Intel also will soon have chips.
Similar rankings are true across telecom. Huawei spends US$15 billion each year on research and now has the broadest product line. At the Geneva UBBF, Swisscom told me the new G.fast (Amendment 3) is shipping and will deploy across the country. 10 GPON costs have come down so much that Xavier Niel's Salt Switzerland is selling 10G for the same price as GPON. I stopped by the Salt store and they told me customers love the 10G. If that's not enough, Huawei demonstrated 50G PON.
50G Ethernet looks to be the primary backhaul in China and was display. Verizon is strong on NG-PON2 but most western companies are content with 10G. The boards featured state of the art HiSilicon network processors and some of Huawei's own optical units.
While the cliche is that 5G requires fiber backhaul, mmWave also has low latency. Huawei was showing 5 Gigabit mmWave units; four can be bonded for 20 gigabits. That's plenty of bandwidth to service 5G small cells.
The growth today is coming from rural and less affluent consumers, especially in Africa and South Asia. There's no glamour in producing high performance, low-cost, and easy to install RANs but they are crucial for the next two billion. Huawei has radios designed for the application that look good.
Nokia may be ahead in DSL, Ericsson in 5G wireless, and Cisco in routing. But Huawei is near or at the top in almost all categories. In one crucial technology, Massive MIMO, Huawei (and ZTE) began deploying two years before any non-Chinese rivals.
The keynotes emphasized how Huawei's strategies would meet operators' future needs. David Wang spoke on self-optimizing & self-healing networks, a key operator concern, introducing "autonomous networks" as a new buzzword." Ryan Ding highlighted quality networks, and David Hu discussed the possibilities for "Intent-Driven Networks." I had the chance to talk with Telefonica CTO Enrique Blanco, China Central TV Academician Ding Wenhua, and the people deploying G.fast across Switzerland. Gavin Young of Vodafone tells me cable latency can be very close to 5G and that Predictable Network Solutions is doing good work optimizing networks.
Huawei, ZTE, Datang, China Mobile, and other companies generate an enormous number of patents. The Washington belief that China needs U.S. technology is simply ignorance.
Huawei's David Wang: Moving Towards Autonomous Driving Networks
[Geneva, Switzerland, September 11, 2018] David Wang, Huawei's Executive Director of the Board and President of Products & Solutions, attended and addressed the fifth Ultra-Broadband Forum (UBBF 2018). Wang remarked, "In a fully connected and intelligent era, autonomous driving is becoming a reality. Industries like automotive, aerospace, and manufacturing are modernizing and renewing themselves by introducing autonomous technologies."
Wang continued, " However, the telecom sector is facing a major structural problem: Networks are growing year by year, but OPEX is growing faster than revenue. What's more, it takes 100 times more effort for telecom operators to maintain their networks than OTT players. Therefore, it's imperative that telecom operators build autonomous driving networks."
Humanity has never stopped in its pursuit for higher productivity. In 1947, US completed the first autonomous transatlantic flight. 1983 witnessed the world's first driverless metro – Métro de Lille – going live in France. In 2012, Google obtained the world's first self-driving car license in Nevada, with its self-driving cars travelling 8 million kilometers as of March 2018. Every change seen throughout the industries is driving society towards a new era.
Unlike autonomous cars, the telecom industry faces unique complexities. In terms of service diversity, a telecom network provides multiple services such as mobile, home broadband, and enterprise services. Therefore, an autonomous driving system must accurately understand the intent behind different services. As for the operating environment and road conditions, there are highways that act like data centers and urban and rural roads that provide broadband access to citizens. Therefore, autonomous driving systems must be able to adapt to complex environments that involve multiple technologies. From the perspective of full lifecycle operations, different roles, such as planning, O&M, and service provisioning, face different challenges.
David Wang, Huawei's Executive Director of the Board and President of Products & Solutions, addressing the fifth Ultra-Broadband Forum
Wang said, "Evolution towards autonomous driving networks must be advanced by scenario and follow three key principles: First, we should focus on major issues related to OPEX. Second, we need to start from a single domain to multiple domains, from single task to multitasking, and then form a closed-loop system. Third, we must develop experience-driven and top-down data models and sharing capabilities."
Autonomous driving networks go far beyond the innovation of a single product, and are more about innovating system architecture and business models. Huawei calls for all industry players to work together to clearly define standards and guide technological innovation and rollout. Based on service experience and operating efficiency, Huawei has proposed five levels of autonomous driving networks for the telecom industry.
L0 manual O&M: The system delivers assisted monitoring capabilities, which means all dynamic tasks have to be executed manually.
L1 assisted O&M: The system executes a certain sub-task based on existing rules to increase execution efficiency.
L2 partial autonomous network: The system enables closed-loop O&M for certain units under certain external environments, lowering the bar for personnel experience and skills.
L3 conditional autonomous network: Building on L2 capabilities, the system can sense real-time environmental changes, and in certain domains, optimize and adjust itself to the external environment to enable intent-based closed-loop management.
L4 highly autonomous network: Building on L3 capabilities, the system enables, in a more complicated cross-domain environment, predictive or active closed-loop management of service and customer experience-driven networks. This allows operators to resolve network faults prior to customer complaints, reduce service outages and customer complaints, and ultimately, improve customer satisfaction.
L5 full autonomous network: This level is the ultimate goal for telecom network evolution. The system possesses closed-loop automation capabilities across multiple services, multiple domains, and the entire lifecycle, achieving autonomous driving networks.
"On the journey to autonomous driving, telecom networks are facing numerous challenges, including the invisibility in network status and the separation of operation and maintenance systems," said Wang. "This requires us to systematically reshape and innovate the network architecture and key technologies. In particular, first, we need to build an edge intelligence layer on physical networks to sense network status in real-time, and simplify network architecture and protocols. Second, we will use unified modeling to build digital twin networks and make network status traceable and predictable. AI can also be introduced here to enable predictive O&M and active closed-loop optimization. Third, an open cloud platform is needed to support AI algorithm training and optimization, and the agile development of applications such as planning, design, service provisioning, O&M guarantee, and network optimization. The aim is to automate closed-loop network operations throughout the entire lifecycle."
Huawei has made bold innovations and explorations into autonomous driving networks, and has developed the Intent-Driven Network (IDN) and other solutions. These solutions cover various scenarios such as broadband access, IP networks, optical networks, data center networks, and enterprise private lines, aiming to help operators and enterprises digitize their networks centering on service experience. Huawei and leading global operators jointly launched the NetCity project to define business scenarios and implemented innovations following the DevOps model to rapidly deploy cutting-edge technologies.
Wang concluded, "It's a long journey towards autonomous driving networks. To make our dream a reality, the industry must work together and forge ahead. Huawei is committed to developing leading ICT solutions through continuous innovation, and taking complexity itself while creating simplicity for our customers. Together, we will embrace a fully connected, intelligent world."
Huawei Launches the Industry-Oriented Intent-Driven Network Solution
Accelerating Digital Transformation of Industries and Maximizing Business Value
[Hannover, Germany, June 11, 2018] Today, Huawei launched its Industry-Oriented Intent-Driven Network (IDN) Solution at CEBIT 2018, held in Hannover, Germany. By building intelligent, simplified, ultra-broadband, open, and secure intent-driven networks, this solution enables and accelerates digital transformation and maximizes business value for enterprises across vertical industries such as finance, ISP, retail, and government.
Digital transformation across industries has unlocked tremendous economic value and has become a strong driver for global economic growth. According to Huawei's 2018 Global Connectivity Index (GCI), the global digital economy reached US$12.9 trillion in 2017, accounting for 17.1% of global GDP. This digital economy will reach US$23 trillion by 2025, powered by Intelligent Connectivity that will trigger a new round of innovation and economic opportunities.
"The integration of the Internet into industries has brought the first wave of digital dividends and continues to penetrate into global industry markets. The introduction of Artificial Intelligence (AI) will set off another round of digital economy growth," said Kevin Hu, President of Huawei's Network Product Line. "Huawei hopes to drive in-depth integration of ICT infrastructure, AI, and industry-specific production systems through its IDN solution, thereby accelerating digital transformation across industries and contributing to the business success of industry customers."
Kevin Hu Speaking at Huawei Global Media Press Conference
For the finance industry, Huawei IDN helps financial services organizations build ultra-large cloud data center networks. It also automates network design that is driven by service intent to quickly roll out services and monetize businesses. A single data center network cluster system can elastically scale to support 100,000 servers. Additionally, Big Data analytics and machine self-learning are used to build network behavior models and provide added visibility of applications, networks, and IT resources. These capabilities help customers locate and rectify faults in minutes and provide 24/7 uninterrupted reliable financial service assurance. As a result, data centers are transformed into business value centers, delivering increased business value to customers in finance and other sectors.
In the field of innovative high-performance AI computing, networks require ultra-low latency and zero packet loss. Unfortunately, existing networks are not capable of delivering services quickly enough. Huawei's innovative IDN solution brings to market an Ultra-High-Speed Lossless Ethernet AI Fabric, which leverages unique congestion scheduling to shorten AI training times by up to 40% and reduce total cost of ownership (TCO) by up to 53%. This helps ISPs and Enterprises quickly and cost effectively innovate new service applications leveraging AI.
For government and enterprise campus networks, Huawei's IDN solution provides full-lifecycle cloud-based management and an open platform. These offerings enable online planning, rapid deployment, elastic scaling, and on-demand provisioning while also greatly improving the Internet access experience of network-wide users by leveraging Big Data analytics and AI. In addition, traditional device-centric O&M is replaced with user experience-centric proactive O&M, assuring a high-quality and secure network experience for users.
For the retail industry, Huawei's IDN solution is business-centric. By converging Wi-Fi and IoT technology to implement all-wireless support for Wi-Fi and IoT networks, the solution enables retail enterprises to provide a more convenient shopping experience for customers. Huawei also collaborates with industry partners to add value by building a business-centric precision marketing solution. Designed to help retail businesses better understand their customers, venues, and potential interests and preferences of their customers, the solution targets improvements in customer loyalty and increases in revenue.
In line with IDN's core philosophy of intelligence, simplicity, ultra-broadband, openness, and security, Huawei will continue to gradually release more scenario-specific solutions ideal for industry needs. Huawei will also expand partner collaboration to promote IDN implementation across industries, as part of its continued efforts to bring digital to every person, home, and organization for a fully connected, intelligent world.
Huawei together with its partners and customers is showcasing new digital transformation solutions to orchestrate a digital symphony at CEBIT from June 11-15 in Germany, the home of classical music. It is also hosting activities and sharing best practices around Cloud Computing, Artificial Intelligence (AI), Big Data, Internet of Things (IoT) and Software-Defined Networking (SDN), all of which play a critical role in today’s digital transformation.
Vodafone and Huawei Complete the Second Phase of Cloud-based BNG Validation
[Shenzhen, China, September 3, 2018] Vodafone and Huawei recently completed the second phase test of the cloud-based Broadband Network Gateway (BNG) solution in a fixed broadband scenario. This proof of concept was deployed in Vodafone Portugal's premises according to Vodafone Group guidelines, demonstrating the capability of Huawei's cloud-based BNG solution to evolve existing networks and lay a solid foundation for cloud-based BNG projects. The BNG solution used the Control & User Plane Separation (CUPS) architecture, which offers improved capabilities for scaling, resilience and efficient IP address use.
The phase I testing was performed in December 2017 and focused on 52 functional tests of the solution, while the phase II testing, completed in May 2018, focused on the Vodafone Portugal service architecture including internet access and VPN services. Both phase I and II have been completed successfully.
The scope of this proof of concept included access, authentication and accounting for home broadband users in various scenarios. It also included performance, reliability and security testing of cloud-based BNG systems. Vodafone and Huawei verified functionality of the cloud-based BNG solution using virtual network functions (VNFs) as the control plane and also using physical network functions (PNFs) as the user plane. The cloud-based BNG solution decouples the control and user planes of traditional BNG architectures. The control plane integrates the user management functions of multiple BNGs and shifts their resources to the cloud. In addition to automated service provisioning and network O&M, the solution deployment in the cloud also enables global resource sharing, elastic capacity scaling, flexible architecture adjustment and network capability exposure.
João Nascimento, CTO at Vodafone Portugal, said: "Cloud-based BNG is an effective way to improve network resource utilization and shorten time to market for new services. During this round of testing, we were able to verify the feasibility of evolving existing network devices to the cloud."
Jeffrey Gao, President of Huawei's Router & Carrier Ethernet Product line, stated: "Cloud-based BNG is an innovative implementation of Huawei's Intent-Driven Network in the context of network service cloudification. The Intent-Driven Network decouples traditional networks into an elastic, reliable bearer layer and an agile service layer. This creates a simple architecture enabling the rapid and flexible adjustment of resources. This solution helps operators improve the efficiency of their network operations, reduce O&M costs and smoothly evolve network services to the cloud."
Huawei and many leading operators have engaged in close cooperation to innovate cloud-based BNG solution, which has achieved staged achievements. In the future, Huawei will rely on its strong innovation strength and continuous R&D investment to help operators enable metro network cloudification transformation