Part 5. Set up Aerial with OAI gNB and CN5G (Optional)

This section is required only if you skipped the steps in Part 3 – Install ARC Using SDK Manager.

This section describes how to set up the Aerial private 5G network, which consists of the following:

  • Aerial SDK L1

  • Remaining components of OAI gNB

  • OAI Core Network

  • User Equipment (UE)

  • Edge Server Applications (for example, iPerf)

image5b.png

Component Version
Aerial SDK (ASDK) PHY 23-2
OAI gNB OAI_Aerial_v2.2.1
OAI CN OAI_Aerial_v2.2.1

In the installation guide for cuBB, in the ARC software release manifest, find the Aerial SDK L1, and follow the instructions. Installing ARC using SDK Manager.

Note

You can also refer to the following tutorial videos for installation steps:

Copy
Copied!
            

export GPU_FLAG="--gpus all" export cuBB_SDK=/opt/nvidia/cuBB #Name of your docker container export AERIAL_CUBB_CONTAINER=cuBB_$USER #Docker image downloaded from NGC export AERIAL_CUBB_IMAGE=nvcr.io/ea-aerial-sdk/aerial:23-2-cubb sudo usermod -aG docker $USER docker run --detach --privileged \ -it $GPU_FLAG --name $AERIAL_CUBB_CONTAINER \ --hostname c_aerial_$USER \ --add-host c_aerial_$USER:127.0.0.1 \ --network host \ --shm-size=4096m \ -e cuBB_SDK=$cuBB_SDK \ -w $cuBB_SDK \ -v $(echo ~):$(echo ~) \ -v /dev/hugepages:/dev/hugepages \ -v /usr/src:/usr/src \ -v /lib/modules:/lib/modules \ -v ~/share:/opt/cuBB/share \ --userns=host \ --ipc=host \ -v /var/log/aerial:/var/log/aerial \ $AERIAL_CUBB_IMAGE docker exec -it $AERIAL_CUBB_CONTAINER bash

For installation instructions, see the Aerial cuBB Installation Guide, in the link above.

Since the cuBB 22.2.2 release, the test vectors are not included in the SDK. You need to generate the TV files before running cuPHY examples or cuBB end-to-end tests.

Using Aerial Python mcore Module

There is no Matlab license required to generate TV files using the Aerial Python mcore module. The cuBB Container already has aerial_mcore installed. To generate the TV files, run the following commands inside the Aerial container:

Note

The TV generation can take a few hours on the devkit with the current isocpus parameter setting in the kernel command line. Make sure that the host has sufficient space to contain 111GB of TV files.

Copy
Copied!
            

cd ${cuBB_SDK}/5GModel/aerial_mcore/examples source ../scripts/setup.sh export REGRESSION_MODE=1 time python3 ./example_5GModel_regression.py allChannels echo $? ls -alF GPU_test_input/ du -h GPU_test_input/

Example output is shown below. The “real” time takes less than one hour on a 24 cores x86 host. The “echo $?” shows the exit code of the process, which should be 0. A non-zero exit code indicates a failure.

Copy
Copied!
            

Channel Compliance_Test Error Test_Vector Error Performance_Test Fail ------------------------------------------------------------------------------ SSB 37 0 42 0 0 0 PDCCH 71 0 80 0 0 0 PDSCH 274 0 286 0 0 0 CSIRS 86 0 87 0 0 0 DLMIX 0 0 1049 0 0 0 PRACH 60 0 60 0 48 0 PUCCH 469 0 469 0 96 0 PUSCH 388 0 398 0 41 0 SRS 125 0 125 0 0 0 ULMIX 0 0 576 0 0 0 BFW 58 0 58 0 0 0 ------------------------------------------------------------------------------ Total 1568 0 3230 0 185 0 Total time for runRegression is 2147 seconds Parallel pool using the 'local' profile is shutting down. real 36m51.931s user 585m1.704s sys 10m28.322s

To generate the launch pattern for each test case using cubb_scripts:

Copy
Copied!
            

cd $cuBB_SDK cd cubb_scripts python3 auto_lp.py -i ../5GModel/aerial_mcore/examples/GPU_test_input -t launch_pattern_nrSim.yaml

Then copy the launch pattern and TV files to testVectors repo.

Copy
Copied!
            

cd $cuBB_SDK cp ./5GModel/aerial_mcore/examples/GPU_test_input/TVnr_* ./testVectors/. cp ./5GModel/aerial_mcore/examples/GPU_test_input/launch_pattern* ./testVectors/multi-cell/.


Using Matlab

To generate TV files using Matlab, run the following command in Matlab:

Copy
Copied!
            

cd('nr_matlab'); startup; [nTC, errCnt] = runRegression({'TestVector'}, {'allChannels'}, 'compact', [0, 1] );

All the cuPHY TVs are generated and stored under nr_matlab/GPU_test_input.

Generate the launch pattern for each test case using cubb_scripts:

Copy
Copied!
            

cd $cuBB_SDK cd cubb_scripts python3 auto_lp.py -i ../5GModel/nr_matlab/GPU_test_input -t launch_pattern_nrSim.yaml

Copy the launch pattern and TV files to testVectors repo.

Copy
Copied!
            

cd $cuBB_SDK cp ./5GModel/nr_matlab/GPU_test_input/TVnr_* ./testVectors/. cp ./5GModel/nr_matlab/GPU_test_input/launch_pattern* ./testVectors/multi-cell/.


Clone the gNB Source Code

Clone the OpenAirInterface5G repository. Access to the private branch is required. For access contact NVIDIA.

Copy
Copied!
            

git clone --branch OAI_Aerial_v2.2.1 https://gitlab.eurecom.fr/rssilva/openairinterface5g.git ~/openairinterface5g cd openairinterface5g


gNB Configuration File

Update the configuration of OAI L2. The configuration is located here ~/openairinterface5g/targets/PROJECTS/GENERIC-NR-5GC/CONF/vnf.sa.band78.fr1.273PRB.Aerial.conf

Note


Build gNB Docker Image

Note

When building a Docker image, the files are copied from the filesystem into the image. Changes in the configuration after you build the image must also be done inside the container.

Copy
Copied!
            

export OAI_GNB_IMAGE=i_oai_aerial:latest docker build --tag $OAI_GNB_IMAGE . -f docker/Dockerfile.aerial.ubuntu20


Do the iptables setup, below, after every a system reboot. Or make this permanent in your Ubuntu system configuration.

Copy
Copied!
            

On CN5G server, configure it to allow the traffic coming in by adding this rule to iptables: # On CN5G, upon startup: sudo sysctl net.ipv4.conf.all.forwarding=1 sudo iptables -P FORWARD ACCEPT

Install the core network by following the Gitlab steps for setting up OAI CN5G.

To run the correct configuration for Aerial Research Cloud replace section 2.2 and 2.3 OAI CN5G configuration files with the following:

Copy
Copied!
            

# Get openairinterface5g source code git clone --branch OAI_Aerial_v2.2.1 https://gitlab.eurecom.fr/rssilva/openairinterface5g.git ~/openairinterface5g cd ~/openairinterface5g cp -rT ~/openairinterface5g/doc/tutorial_resources/oai-cn5g ~/oai-cn5g

The user configurable configuration files are:

  • ~/oai-cn5g/database/oai_db.sql

For the purpose of understanding which address is what in the example configuration setting and commands below, we will assume the gNB and CN5G servers have these interface names and IP addresses.

CN5G Server

Copy
Copied!
            

eno1: 10.31.66.x = SSH management port for terminal eno2: 169.254.200.6 = BH connection on SFP switch for gNB-CN5G traffic

gNB Server

Copy
Copied!
            

eno1: 10.31.66.x = SSH management port for terminal ens6f0: b8:ce:f6:4e:75:40 = FH MAC address ens6f0.2: 169.254.1.105 = FH IP address ens6f1: 169.254.200.5 = BH connection SFP switch for gNB-CN5G traffic

gNB to set static route

On the gNB server, add this static route for a path to the CN5G server. Apply this route after each server power-on.

Copy
Copied!
            

Syntax: sudo ip route add 192.168.70.128/26 via <CN5G IP> dev <gNB interface for CN5G> Example: sudo ip route add 192.168.70.128/26 via 169.254.200.6 dev ens6f1

gNB to set the CN5G server to uses for AMF

Edit gNB configuration file: targets/PROJECTS/GENERIC-NR-5GC/CONF/vnf.sa.band78.fr1.273PRB.Aerial.conf

Below is an example with lab-specific network parameters. Your IP address and interface names may differ.

Copy
Copied!
            

GNB_INTERFACE_NAME_FOR_NG_AMF = "ens6f1"; # gNB side interface name of the SFP port toward CN (was eno1) GNB_IPV4_ADDRESS_FOR_NG_AMF = "169.254.200.5"; # gNB side IP address of interface above (was 172.21.16.130) GNB_INTERFACE_NAME_FOR_NGU = "ens6f1"; # gNB side interface name of the SFP port toward CN (was eno1) GNB_IPV4_ADDRESS_FOR_NGU = "169.254.200.5"; # Same IP as GNB_IPV4_ADDRESS_FOR_NG_AMF above (was 172.21.16.130)

To start CN5G

Copy
Copied!
            

docker-compose up -d


To Stop CN5G

Copy
Copied!
            

docker-compose down


To monitor CN5G logs while running

Copy
Copied!
            

docker logs oai-amf -f


To capture PCAPs

Copy
Copied!
            

docker exec -it oai-amf /bin/bash apt update && apt install tcpdump -y tcpdump -i any -w /tmp/amf.pcap

Then copy the pcap out from the container.

Copy
Copied!
            

docker cp oai-amf:/tmp/amf.pcap .


Copy
Copied!
            

aerial@aerial-rf-r630:~/oai-cn5g$ docker compose up -d [+] Building 0.0s (0/0) [+] Running 11/11 ✔ Network demo-oai-public-net Created 0.1s ✔ Container oai-nrf Started 0.7s ✔ Container mysql Started 0.7s ✔ Container asterisk-ims Started 0.7s ✔ Container oai-udr Started 0.9s ✔ Container oai-udm Started 1.2s ✔ Container oai-ausf Started 1.5s ✔ Container oai-amf Started 1.7s ✔ Container oai-smf Started 2.0s ✔ Container oai-spgwu-tiny Started 2.3s ✔ Container oai-ext-dn Started 2.6s

Copy
Copied!
            

aerial@aerial-rf-r630:~/oai-cn5g$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES d5af4f51c393 oaisoftwarealliance/trf-gen-cn5g:latest "/bin/bash -c ' ip r…" About a minute ago Up About a minute (healthy) oai-ext-dn a9b2d18c7f77 oaisoftwarealliance/oai-spgwu-tiny:v1.5.1 "python3 /openair-sp…" About a minute ago Up About a minute (healthy) 2152/udp, 8805/udp oai-spgwu-tiny b61c383f9e60 oaisoftwarealliance/oai-smf:v1.5.1 "python3 /openair-sm…" About a minute ago Up About a minute (healthy) 80/tcp, 8080/tcp, 8805/udp oai-smf 3681b1048c53 oaisoftwarealliance/oai-amf:v1.5.1 "python3 /openair-am…" About a minute ago Up About a minute (healthy) 80/tcp, 9090/tcp, 38412/sctp oai-amf c602f7cb1c67 oaisoftwarealliance/oai-ausf:v1.5.1 "python3 /openair-au…" About a minute ago Up About a minute (healthy) 80/tcp oai-ausf 752acae83ac0 oaisoftwarealliance/oai-udm:v1.5.1 "python3 /openair-ud…" About a minute ago Up About a minute (healthy) 80/tcp oai-udm 4bf281d08229 oaisoftwarealliance/oai-udr:v1.5.1 "python3 /openair-ud…" About a minute ago Up About a minute (healthy) 80/tcp oai-udr 33aa959be775 mysql:8.0 "docker-entrypoint.s…" About a minute ago Up About a minute (healthy) 3306/tcp, 33060/tcp mysql 5d22e4745d00 asterisk-ims:latest "asterisk -fp" About a minute ago Up About a minute (healthy) asterisk-ims 1a93b3ffe305 oaisoftwarealliance/oai-nrf:v1.5.1 "python3 /openair-nr…" About a minute ago Up About a minute (healthy) 80/tcp, 9090/tcp oai-nrf

Previous Part 4. Install ARC Using SDK Manager
Next Part 6. Validate the Setup
© Copyright 2023, NVIDIA.. Last updated on Jan 19, 2024.