Project Technical Lead: Paul Carver. Elected 1/17/19.
Project Committers detail:
Initial Committers for a project will be specified at project creation. Committers have the right to commit code to the source code management system for that project.
A Contributor may be promoted to a Committer by the project’s Committers after demonstrating a history of contributions to that project.
Candidates for the project’s Project Technical Leader will be derived from the Committers of the Project. Candidates must self nominate by marking "Y" in the Self Nominate column below by Jan. 16th. Voting will take place January 17th.
Only Committers for a project are eligible to vote for a project’s Project Technical Lead.
Please see Akraino Technical Community Document section 3.1.3 for more detailed information.
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Committer
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Committer
Company
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Committer
Contact Info
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Self Nominate for PTL (Y/N)
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Tapio Tallgren
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Nokia
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Gabor Szabo
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Levente Kale
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Baha Mesleh
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Raghurama Mandru
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Paul Carver
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AT&T
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pcarver@att.com
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Paul Carver has been involved in AT&T's cloud architecture since 2012, OpenStack since 2013, and OpenContrail since 2014. Prior to it being called "cloud" Paul designed, deployed and supported datacenter and WAN IP networks for a cloud-like interactive voice response system built out of rack after rack of x86 and Sparc servers as far back as 2002. And before that Paul worked on central office hardware and call center software. Most recently Paul has been a leading participant in the transition of OpenContrail into the Tungsten Fabric project under the Linux Foundation Networking umbrella. The Akraino project is perfectly suited to Paul's breadth of experience across telco infrastructure, software development and Open Source community dynamics.
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Mike Hunter
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Intel
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Presentation:
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Use Case Details:
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Attributes
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Description
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Informational
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Type
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New
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Industry Sector
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Telco networks
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Business driver
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Optimizing a radio network is a complex task considering that we want to
Use the available radio spectrum, front haul and back haul network capacity, and signaling capacity optimally
Provide optimal quality of experience considering the application type, user subscription, and user mobility
Be able to collect diagnostic data for fault analysis and performance optimization
To address these needs, the O-RAN Alliance is defining the Radio Intelligent Controller (RIC) and new interfaces towards the LTE/5G Radio Access Network (RAN). Especially, the RIC has the E2 interface towards the RAN Centralized Unit (CU), and the A1 interface towards an orchestration system such as ONAP. This allows for more intelligence in managing the radio resources.
Especially, the RIC has a Radio Information Store database with generic information about radio resources, it supports third-party applications with access towards the RAN, and it has a high-speed, high-capacity message bus.
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Business use cases
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As an operator, I want to
Deploy an LTE/5G network as the components RRH, DU, CU, and RIC to leverage the benefits of standard hardware and software infrastructures at the edge of the network
Promote an ecosystem of interchangeable components in the RAN
Enable new machine-learning based algorithms for optimizing radio access
Some use cases that the RIC enables
Sampling Channel Quality Indicators to get a better understanding of the radio network quality in different locations
It supports collecting and storing detailed event logs for troubleshooting and performance optimization
Especially, the 5G network new radios allow fast-speed beamforming. Therefore, it is possible to use intelligent algorithms to guide beamforming with different parameters
There are also other tunable parameters in the radio network related to radio capacity allocation and power saving
All of these allow for more optimal resource allocation which will benefit the end users with better quality of service.
The O-RAN: Towards an Open and Smart RAN. O-RAN Alliance White Paper. Available from https://www.o-ran.org
lists as use cases:
per-UE controlled
Load balancing
RB Management (radio band?)
Interference detection
Interference mitigation
In addition, it enables
QoS management
Connectivity management
Seamless handover control
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Business Cost - Initial Build Cost Target Objective
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The RIC has different deployment models which have slightly different cost implications:
It can be co-located with the RAN CU
It can be co-located with the Orchestration&Automation system
- It can be a standalone system
In the first case, as the RIC will run on the same infrastructure as the RAN CU itself, it will meet all the performance requirements. In the second case, the RIC is some distance from the RAN. It is running on cheaper hardware in a datacenter, but since its performance requirements are stricter than that of the Orchestration system, it may require a different infrastructure layer.
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Business Cost – Target Operational Objective
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For Example:
1.Edge Cloud deployable at Central offices with 7 servers in a single rack should incur low operational costs per year
2. In-place upgrade of the Edge cloud should be supported without impacting the availability of the edge applications
3. Edge Solution should have role based access controls, Single Pane of Glass control, administrative and User Based GUIs to manage all deployments.
4. The automation should also support zero touch provisioning and management tools to keep operational cost lower
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Security need
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Regulations
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The Edge cloud solution should meet all the industry regulations of data privacy, telco standards (NEBS), etc.,
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Other restrictions
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Consider the power restrictions of specific location in the design (example - Customer premise)
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Additional details
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Case Attributes
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Description
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Informational
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Type
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New
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Blueprint Family - Proposed Name
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Use Case
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RIC
vRAN
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Blueprint proposed Name
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Initial POD Cost (capex)
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Scale & Type
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x86 OCP Open Edge servers x 6
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Applications
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Power Restrictions
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Infrastructure orchestration
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Airship
Redfish
ONAP
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SDN
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Workload Type
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Additional Details
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Submitter to provide additional use case details
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The Radio Edge Cloud blueprint is member of the Telco Appliance blueprint family which is designed to provide a fully integration tested appliance tuned to meet the requirements of the RAN Intelligent Controller (RIC). When complete it will include automated configuration and integration testing from the below the OS up through RIC (from https://gerrit.oran-osc.org/r/#/admin/projects/). As a member of the Telco Appliance blueprint family it shares many hardware and software components, including installation, configuration management and APIs with other family members. Each family member will be a separate appliance with a close family resemblance to its siblings.
Key Attributes
- Specific hardware configuration that are automatically tested via continuous deployment automation. Multiple hardware variations may be tested in parallel, but each tested configuration will be fully specified and reproducible.
- Specific pre-boot software (e.g. firmware/BIOS) will be specified as part of the CD tested configuration
- Reproducible software installation and configuration - an opinionated deployer will allow deployment of large numbers of sites with versioning that is traceable back to automated CD testing
- Modular building blocks assembled and tested (via CD automation) to ensure a guaranteed level of performance of the target application (RAN Intelligent Controller) while allowing other members of the family to assemble and tune the same modular building blocks to other target applications
- May be extended in the future to integrate RIC+other application, but still in an appliance with tested/guaranteed performance of the combined application set
Code
- The majority of the REC code is actually supplied by the Telco Appliance blueprint family and may be found in Gerrit in the ta/* repositories here: https://gerrit.akraino.org/r/admin/repos/q/filter:ta
- An overview of these repositories with explanations of what is in each is available in Gerrit Code Repository Overview
Target Hardware
Radio Edge Cloud is intended as a bare metal deployment system, so it does hardware detection using the code in the Hardware Detector repository (ta/hw-detector (tree view)) and therefore may need updates in order to support hardware other than what the active blueprint contributors are using. Such contributions are welcome, but it is worth knowing that the primary contributors are doing all testing on the hardware described in Radio Edge Cloud Validation Lab and Radio Edge Cloud Validation Lab (ARM64) so these are what we have the most experience with. The REC Installation Guide does provide some information on installing on other hardware and we welcome contributions to either the installation guide or the hardware detector repository if there is an interest in improving support for other hardware.
Child Pages
Child pages (Children Display) sort title
Objective and Context of REC Blueprint
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Historical Information
Original Proposal Presentation:
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