Deploy FlexRAN 21.07 on StarlingX¶

Scope ¶

FlexRAN is a vRAN reference implementation for virtualized cloud-enabled radio access networks. FlexRAN is not an open-source project. It is provided here as an example of a 5G application running on StarlingX.

This document provides details on how to build FlexRAN software for StarlingX, generate a containerized version of the prebuilt FlexRAN binaries, and deploy on StarlingX solution.

Note

The steps in this guide are based on FlexRAN 21.07. The instructions are subject to change in future releases of FlexRAN.

Intended Audience ¶

The intended audience for this document are software engineers and system architects who want to design and develop 5G systems using the O-RAN Specifications based on FlexRAN and StarlingX OpenSource Edge computing platform.

AIO Simplex Installation ¶

Prepare USB stick with StarlingX Installation ISO¶

Get StarlingX Installation ISO from following location:

https://mirror.starlingx.windriver.com/mirror/starlingx/master/centos/latest_build/outputs/iso/bootimage.iso
Burn the image to a USB stick:

Note

Be sure to use the correct USB device name when copying the image.
```
dd if=bootimage.iso of=/dev/sdc bs=1M
```

Follow the installation guide¶

In addition to the Minimum hardware requirements for StarlingX, you will need the following hardware for FlexRAN applications.

Minimum Requirement	All-in-one Controller Node
Minimum processor class	Single-CPU Intel Xeon Cascade Lake (14 nm) or IceLake (10 nm)
Minimum memory	64 GB single socket
Minimum network ports	OAM: 1x1GE, If only test timer mode, no other NIC required.
BIOS settings	Hyper-Threading technology : Enabled Virtualization technology : Enabled VT for directed I/O : Enabled CPU Power and Performance Policy : Performance CPU C state control : Enabled Plug & play BMC detection : Disabled Uncore Frequency Scaling : Disabled Performance P-limit : Disabled Enhanced Intel SpeedStep (R) Tech : Enabled Intel(R) Turbo Boost Technology : Enabled
Accelerator Card	Mt. Bryce ACC100 (Intel eASIC chip which can be mounted on third party card)

The FlexRAN application on StarlingX has been tested on Intel Reference Hardware platform: Wilson City (housing ICX-SP).

Note

Some third-party platforms like SuperMicro / HPE / Dell / Quanta / and others can also be used depending on customer platform requirements, certain optimizations for low-latency and power savings mode by the platform vendors.

Install Kubernetes Platform on All-in-one Simplex:

In addition to required StarlingX configuration, you must set up the Ceph backend for Kubernetes PVC, isolcpus and hugepages:

source /etc/platform/openrc

NODE=controller-0
OAM_IF=<OAM-PORT>

# if you use flat oam network
system host-if-modify ${NODE} $OAM_IF -c platform
system interface-network-assign ${NODE} $OAM_IF oam

# if you use vlan oam network
VLANID=<VLAN-ID>
system host-if-modify -n pltif -c platform $NODE $OAM_IF
system host-if-add ${NODE} -V $VLANID -c platform oam0 vlan pltif
system interface-network-assign ${NODE} oam0 oam

system host-label-assign $NODE sriovdp=enabled
system host-label-assign $NODE kube-topology-mgr-policy=restricted

# Ceph backend for k8s pvc
system storage-backend-add ceph --confirmed
system host-disk-list ${NODE} | awk '/\/dev\/sdb/{print $2}' | xargs -i system host-stor-add ${NODE} {}

# isolate cpus depends on number of the physical core
system host-cpu-modify -f application-isolated -p0 28 controller-0

# allocate/enable hugepages for DPDK usage
system host-memory-modify $NODE -1G 10 0

system host-unlock $NODE

After the system has been unlocked and available for the first time, configure ACC100/ACC200:

source /etc/platform/openrc

system host-lock $NODE

# get the device name of the Mount Bryce, we assume it is
# pci_0000_85_00_0 here.
system host-device-list controller-0

# Modify the Mount Bryce device to enable it, specify the base driver
# and vf driver, and configure it for 1 VFs

# NOTE: If this is the initial install and have not unlocked, you will
# get following error message.
# Cannot configure device 73b13ddf-99be-44c8-8fbe-db85eb8d99ba until host
# controller-0 is unlocked for the first time.
system host-device-modify controller-0 pci_0000_85_00_0 --driver igb_uio --vf-driver vfio -N 1

system host-unlock $NODE

FlexRAN Software Prerequisites ¶

FlexRAN 21.07 Release Package

FlexRAN Software Wireless Access Solutions is available from the following page: https://www.intel.com/content/www/us/en/developer/topic-technology/edge-5g/tools/flexran.html
FlexRAN DPDK BBDEV v21.07 Patch

This patch file is also available in FlexRAN Software Wireless Access Solutions mentioned above.
DPDK version 20.11.1

DPDK version 20.11.1 is available in http://static.dpdk.org/rel/dpdk-20.11.1.tar.xz
Intel C++ Compiler

The Intel C++ Compiler is used to compile Intel DPDK and L1 software. The Intel C++ Compiler can be obtained using the following link: https://software.intel.com/en-us/system-studio/choose-download with community license.

Recommended version of Compiler: icc (ICC) 19.0.3.206 20190206

Build, Deploy and Run FlexRAN ¶

Generally speaking, the build and execution environments should not be the same. To facilitate building, deploying, and running the process on StarlingX, a custom containerized build environment has been prepared and verified. Developers can use the instructions to build the customized Docker image themselves or use the prebuilt Docker image directly.

Using this method, developers can:

Start the build soon after StarlingX is ready.
Use the scripts provided to generate a Docker image with pre-built FlexRAN binaries.
Launch the FlexRAN Pod using the image just generated.
Execute L1 test cases.

The following procedures provide detailed instructions for completing the stages described above.

FlexRAN build preparation¶

For details, see:

https://www.intel.com/content/www/us/en/developer/topic-technology/edge-5g/tools/flexran.html

You can find build instructions in the Compilation Chapter of FlexRAN 5GNR Reference Solution 21.07.

The following steps provide a quick-start procedure for developers.

Create a PVC for FlexRAN build storage:

Note

The PVC size should be larger than 70G.

cat >  volume-ceph.yaml << 'EOF'
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: flexran-storage
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 80Gi
  storageClassName: general
EOF

kubectl create -f volume-ceph.yaml

persistentvolumeclaim/flexran-storage created
controller-0:~$ kubectl get pvc
NAME              STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS   AGE
flexran-storage   Bound    pvc-43e50806-785f-440b-8ed2-85bb3c9e8f79   80Gi       RWO            general        9s

Launch the quick start building Pod attaching to the PVC:

Note

This pod is assumed to be assigned enough resources to launch quickly after FlexRAN is built. If you don’t have isolated CPU, hugepage and accelerator resources configured as part of the system used for building, feel free to remove related content from the yaml spec file. Hugepages-1Gi and intel.com/intel_acc100_fec are not required to perform the build.

cat >  flexran-buildpod.yml << 'EOF'
apiVersion: v1
kind: Pod
metadata:
  name: buildpod
  annotations:
spec:
  restartPolicy: Never
  containers:
  - name: buildpod
    image: wrsnfv/flexran-builder:21.07
    imagePullPolicy: IfNotPresent
    volumeMounts:
    - name: usrsrc
      mountPath: /usr/src
    - mountPath: /hugepages
      name: hugepage
    - name: lib-modules
      mountPath: /lib/modules
    - name: pvc1
      mountPath: /opt
    - name: docker-sock-volume
      mountPath: /var/run/docker.sock
    command: ["/bin/bash", "-ec", "sleep infinity"]
    securityContext:
      privileged: true
      capabilities:
        add:
          ["IPC_LOCK", "SYS_ADMIN"]
    resources:
      requests:
        memory: 32Gi
        hugepages-1Gi: 10Gi
        intel.com/intel_acc100_fec: '1'
      limits:
        memory: 32Gi
        intel.com/intel_acc100_fec: '1'
        hugepages-1Gi: 10Gi
  volumes:
  - name: usrsrc
    hostPath:
      path: /usr/src
  - name: lib-modules
    hostPath:
      path: /lib/modules
  - name: hugepage
    emptyDir:
        medium: HugePages
  - name: docker-sock-volume
    hostPath:
      path: /var/run/docker.sock
      type: Socket
  - name: pvc1
    persistentVolumeClaim:
      claimName: flexran-storage
EOF

kubectl create -f flexran-buildpod.yml

(Optional) Instructions for FlexRAN building image creation:

Note

You can use the following instructions to build the default image or a customized version to meet your needs.

mkdir dockerbuilder && cd dockerbuilder

# prepare the artifacts used for FlexRAN prebuilt binary Docker image
mkdir docker-image-building
cat >  docker-image-building/readme << 'EOF'
# Instructions of Docker image generation

# Following steps are supposed to be executed inside building Pod,
# after building FlexRAN from source code

flxr_install_dir=/opt/flexran/

# populate flexran related env var
cd ${flxr_install_dir}
source set_env_var.sh -d

# prepare the FlexRAN binaries
./transport.sh

# build the Docker image
docker build -t flr-run -f Dockerfile .

# tag and push
orgname=somename
docker tag flr-run ${orgname}/flr-run

EOF

cat >  docker-image-building/transport.sh << 'EOF'
#!/bin/bash

# ICCPATH=/opt/intel/system_studio_2019/compilers_and_libraries_2019.5.281/linux

echo "Make sure source set_env_var.sh -d first.(located in FlexRAN installation directory)"

[[ -z "$MKLROOT" ]] && { echo "MKLROOT not set, exit..."; exit 1; }
[[ -z "$DIR_WIRELESS_SDK_ROOT" ]] && { echo "DIR_WIRELESS_SDK_ROOT not set, exit..."; exit 1; }

ICCPATH=`echo $MKLROOT | awk -F '/mkl' '{print $1}'`
FLXPATH=`echo $DIR_WIRELESS_SDK_ROOT| awk -F '/sdk' '{print $1}'`

[[ -d stuff ]] && { echo "Directory stuff exists, move it to old."; mv -f stuff stuff.old; }

mkdir stuff; cd stuff

mkdir libs
cp $ICCPATH/mkl/lib/intel64_lin/libmkl_intel_lp64.so libs
cp $ICCPATH/mkl/lib/intel64_lin/libmkl_core.so libs
cp $ICCPATH/mkl/lib/intel64_lin/libmkl_intel_thread.so libs
cp $ICCPATH/mkl/lib/intel64_lin/libmkl_avx512.so libs
cp $ICCPATH/mkl/lib/intel64_lin/libmkl_avx2.so libs
cp $ICCPATH/mkl/lib/intel64_lin/libmkl_avx.so libs
cp $ICCPATH/ipp/lib/intel64/libipps.so libs
cp $ICCPATH/ipp/lib/intel64/libippe.so libs
cp $ICCPATH/ipp/lib/intel64/libippcore.so libs
cp $ICCPATH/ipp/lib/intel64_lin/libippee9.so libs
cp $ICCPATH/ipp/lib/intel64_lin/libippse9.so libs
cp $ICCPATH/compiler/lib/intel64_lin/libiomp5.so libs
cp $ICCPATH/compiler/lib/intel64_lin/libirc.so libs
cp $ICCPATH/compiler/lib/intel64_lin/libimf.so libs
cp $ICCPATH/compiler/lib/intel64_lin/libsvml.so libs
cp $ICCPATH/compiler/lib/intel64_lin/libintlc.so.5 libs
cp $ICCPATH/compiler/lib/intel64_lin/libirng.so libs

cp $FLXPATH/libs/cpa/bin/libmmwcpadrv.so libs
cp $FLXPATH/wls_mod/libwls.so libs

mkdir -p flexran/sdk/build-avx512-icc/
cp -rf $FLXPATH/sdk/build-avx512-icc/source flexran/sdk/build-avx512-icc/
cp -rf $FLXPATH/sdk/build-avx512-icc/install flexran/sdk/build-avx512-icc/
cp -rf $FLXPATH/bin flexran/
cp -rf $FLXPATH/set_env_var.sh flexran/

# testcase files
mkdir -p tests/nr5g/
cd tests/nr5g/
for cfg in $FLXPATH/bin/nr5g/gnb/testmac/icelake-sp/*.cfg
do
  cat $cfg | grep TEST_FD > /tmp/$$.testfile
  while IFS= read line
  do
    array=($(echo "$line" | sed 's/5GNR,/ /g'))
    for i in "${array[@]}"; do
      if [[ "$i" =* \.cfg ]]; then
        casedir=`echo "$i"| cut -d / -f 1-3 | xargs`
        caseabsdir=$FLXPATH/tests/nr5g/$casedir
        [[ ! -d $casedir ]] && { mkdir -p $casedir; cp -rf $caseabsdir/* $casedir; }
      fi
    done
  done < /tmp/$$.testfile
done

echo "Transportation Completed."
EOF

chmod a+x docker-image-building/transport.sh

cat >  docker-image-building/set-l1-env.sh << 'EOF'
# source this script to l1 binary location

export WORKSPACE=/root/flexran
export isa=avx512

cd $WORKSPACE
source ./set_env_var.sh -i ${isa}

MODE=$1
[[ -z "$MODE" ]] && read -p "Enter the MODE(LTE or 5G): " MODE

if [ $MODE = LTE ]; then
  cd $WORKSPACE/bin/lte/l1/
fi
if [ $MODE = 5G ]; then
  cd $WORKSPACE/bin/nr5g/gnb/l1
fi
EOF

cat >  docker-image-building/set-l2-env.sh << 'EOF'
# source this script to l2 binary location

export WORKSPACE=/root/flexran
export isa=avx512

cd $WORKSPACE
source ./set_env_var.sh -i ${isa}

MODE=$1
[[ -z "$MODE" ]] && read -p "Enter the MODE(LTE or 5G): " MODE

if [ $MODE = LTE ]; then
  cd $WORKSPACE/bin/lte/testmac/
fi
if [ $MODE = 5G ]; then
  cd $WORKSPACE/bin/nr5g/gnb/testmac
fi
EOF

cat >  docker-image-building/res-setup.sh << 'EOF'
#!/bin/bash

[[ -z "$PCIDEVICE_INTEL_COM_INTEL_ACC100_FEC" ]] && { echo "ACC100 not used, sleep..."; sleep infinity; }

sed -i 's#.*dpdkBasebandFecMode.*#        <dpdkBasebandFecMode\>1</dpdkBasebandFecMode>#' /root/flexran/bin/nr5g/gnb/l1/phycfg_timer.xml
sed -i 's#.*dpdkBasebandDevice.*#        <dpdkBasebandDevice\>'"$PCIDEVICE_INTEL_COM_INTEL_ACC100_FEC"'</dpdkBasebandDevice>#' /root/flexran/bin/nr5g/gnb/l1/phycfg_timer.xml

echo "Resource setup Completed, sleep..."
sleep infinity
EOF

chmod a+x docker-image-building/res-setup.sh

cat >  docker-image-building/Dockerfile << 'EOF'
FROM centos:7.9.2009

RUN [ -e /etc/yum.conf ] && sed -i '/tsflags=nodocs/d' /etc/yum.conf || true

RUN yum install -y libhugetlbfs* libstdc++* numa* gcc g++ iproute \
           module-init-tools kmod pciutils python libaio libaio-devel \
           numactl-devel nettools ethtool
RUN yum clean all

COPY stuff/libs/* /usr/lib64/

WORKDIR /root/
COPY stuff/flexran ./flexran
COPY stuff/tests ./flexran/tests
COPY set-l1-env.sh ./
COPY set-l2-env.sh ./
COPY res-setup.sh ./

CMD ["/root/res-setup.sh"]
EOF

cat >  Dockerfile << 'EOF'
FROM centos:7.9.2009

RUN [ -e /etc/yum.conf ] && sed -i '/tsflags=nodocs/d' /etc/yum.conf || true

RUN yum groupinstall -y 'Development Tools'

RUN yum install -y vim gcc-c++ libhugetlbfs* libstdc++* kernel-devel numa* gcc git mlocate \
           cmake wget ncurses-devel hmaccalc zlib-devel binutils-devel elfutils-libelf-devel \
           numactl-devel libhugetlbfs-devel bc patch git patch tar zip unzip python3 sudo docker
RUN yum clean all

RUN pip3 install meson && \
    pip3 install ninja pyelftools

# ENV HTTP_PROXY=""
# ENV HTTPS_PROXY=""

WORKDIR /usr/src/
RUN git clone https://github.com/pkgconf/pkgconf.git
WORKDIR /usr/src/pkgconf
RUN ./autogen.sh && ./configure && make && make install

WORKDIR /usr/src/
RUN git clone git://git.kernel.org/pub/scm/utils/rt-tests/rt-tests.git
WORKDIR /usr/src/rt-tests
RUN git checkout stable/v1.0
RUN make all && make install

COPY docker-image-building /root/docker-image-building

WORKDIR /opt

# Set default command
CMD ["/usr/bin/bash"]
EOF

# build the Docker image for FlexRAN building environment
orgname=somename
docker build -t flexran-builder .
docker tag flexran-builder ${orgname}/flexran-builder:21.07
docker login
docker push ${orgname}/flexran-builder:21.07

Build FlexRAN in Pod¶

Use a shell inside Pod to build FlexRAN:
```
kubectl exec -it buildpod -- bash
```

Use scp to copy the FlexRAN related files into the pod’s PVC:

mkdir -p /opt/scrach && cd /opt/scrach
scp <options> FlexRAN-21.07.tar.gz.part00 .
scp <options> FlexRAN-21.07.tar.gz.part01 .
scp <options> dpdk_21.07.patch .
scp <options> system_studio_2019_update_5_ultimate_edition.tar.gz .

cat FlexRAN-21.07.tar.gz.part00 FlexRAN-21.07.tar.gz.part01 > FlexRAN-21.07.tar.gz
rm FlexRAN-21.07.tar.gz.part00
rm FlexRAN-21.07.tar.gz.part01

Copy DPDK source code into the pod’s PVC:

cd /opt && wget http://static.dpdk.org/rel/dpdk-20.11.1.tar.xz
tar xf dpdk-20.11.1.tar.xz
mv dpdk-stable-20.11.1 dpdk-flxr-21.07
cd /opt/dpdk-flxr-21.07 && patch -p1 < /opt/scrach/dpdk_21.07.patch

Install Intel System Studio 2019 Update 5:

cd /opt/scrach

tar zxvf system_studio_2019_update_5_ultimate_edition.tar.gz
cd /opt/scrach/system_studio_2019_update_5_ultimate_edition

# replace xxxx-xxxxxxxx with yours for ACTIVATION_SERIAL_NUMBER
sed -i -r -e 's/^ACCEPT_EULA=.*/ACCEPT_EULA=accept/' -e 's/^ACTIVATION_TYPE=.*/ACTIVATION_TYPE=serial_number/' -e 's%^#?ACTIVATION_SERIAL_NUMBER=.*%ACTIVATION_SERIAL_NUMBER=xxxx-xxxxxxxx%' silent.cfg

cd /opt/scrach/system_studio_2019_update_5_ultimate_edition && ./install.sh -s silent.cfg

Extract FlexRAN and populate the environment variables:

cd /opt/scrach/ && tar zxvf flexran-21.07.tar.gz && ./extract.sh
# input '/opt/flexran' for Extract destination directory

cd /opt/flexran && source ./set_env_var.sh -d
# When following promote message shows:
#     Enter Intel SystemStudio / ParallelStudio Install Directory for icc
# input: /opt/intel/system_studio_2019/
# When following promote message shows:
#     Enter DPDK Install Directory, or just enter to set default
# input: /opt/dpdk-flxr-21.07

Switch to devtoolset-8 environment:

yum install centos-release-scl
yum install devtoolset-8
scl enable devtoolset-8 bash

Build FlexRAN SDK:

cd /opt/flexran && ./flexran_build.sh -e -r 5gnr_sub6 -b -m sdk && ./flexran_build.sh -e -r 5gnr_mmw -b -m sdk

Build DPDK with the FlexRAN patch:

cd /opt/dpdk-flxr-21.07 && meson build
cd /opt/dpdk-flxr-21.07/build && meson configure -Dflexran_sdk=/opt/flexran/sdk/build-avx512-icc/install && ninja

Build the FlexRAN applications:

cd /opt/flexran
# Linux 5.6 deprecated ioremap_nocache, need to change to use ioremap_cache instead
sed -i 's#ioremap_nocache#ioremap_cache#g' ./libs/cpa/mmw/rec/drv/src/nr_dev.c
./flexran_build.sh -e -r 5gnr_sub6 -b -n && ./flexran_build.sh -e -r 5gnr_mmw -b -n

(Optional) Build the test applications:

cd /opt/flexran && ./flexran_build.sh -e -r 5gnr_sub6 -b -m 5gnr_testmac

Generate Docker image with FlexRAN binaries¶

Note

Since host path /var/run/docker.sock has been mounted into the building pod, you can build the Docker image using the FlexRAN binaries from the previous step inside the building pod. The artifacts used by docker build have been integrated into the build image and are ready to use.

Prepare the env var for the script in /root/docker-image-building/transport.sh:
```
cd /opt/flexran && source ./set_env_var.sh -d
```

Prepare binaries and scripts for Docker build:

cd /root/docker-image-building
./transport.sh

Build Docker image which will be saved in local host:
```
docker build -t flr-run -f Dockerfile .
```

Run the FlexRAN Test cases in Pod¶

After the build and Docker image generation steps above, you can launch the FlexRAN execution pod from the host.

Push the Docker image to a registry, for example, dockerhub.io:

docker login
orgname=somename
docker tag flr-run ${orgname}/flr-run:v1
docker push ${orgname}/flr-run:v1

Launch the FlexRAN Pod.

Adjust the CPU and memory for your configuration. Memory should be more than 32Gi for the test case pass rate.

Note

command should not be used in the spec, otherwise it will overwrite the default container command which does accelerator PCI address filling for L1.

cat > runpod-flxr.yml << 'EOF'
apiVersion: v1
kind: Pod
metadata:
  name: runpod
  annotations:
spec:
  restartPolicy: Never
  containers:
  - name: runpod
    image: somename/flr-run:v1
    imagePullPolicy: IfNotPresent
    volumeMounts:
    - name: usrsrc
      mountPath: /usr/src
    - mountPath: /hugepages
      name: hugepage
    - name: lib-modules
      mountPath: /lib/modules
    securityContext:
      privileged: true
      capabilities:
        add:
          ["IPC_LOCK", "SYS_ADMIN"]
    resources:
      requests:
        memory: 32Gi
        hugepages-1Gi: 8Gi
        intel.com/intel_acc100_fec: '1'
      limits:
        memory: 32Gi
        intel.com/intel_acc100_fec: '1'
        hugepages-1Gi: 8Gi
  volumes:
  - name: usrsrc
    hostPath:
      path: /usr/src
  - name: lib-modules
    hostPath:
      path: /lib/modules
  - name: hugepage
    emptyDir:
        medium: HugePages
EOF

kubectl create -f runpod-flxr.yml

Execute L1.

Enter the L1 directory inside Pod:

kubectl exec -it runpod -- bash
source set-l1-env.sh 5G

Edit L1 configuration file:

Note

phycfg_timer.xml has been modified by entry script to use the FEC accelerator: <dpdkBasebandFecMode>1</dpdkBasebandFecMode> <dpdkBasebandDevice>0000:8b:00.0</dpdkBasebandDevice>

This configuration is scripted and runs automatically, no manual configuration is needed. You can use printenv PCIDEVICE_INTEL_COM_INTEL_ACC100_FEC to check dpdkBasebandDevice.

# change default CPU binding in section of <Threads> in phycfg_timer.xml
# use the first 3 assigned CPUs for the Applications threads

<!-- CPU Binding to Application Threads -->
    <Threads>
        <!-- System Threads (Single core id value): Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <systemThread>2, 0, 0</systemThread>

        <!-- Timer Thread (Single core id value): Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <timerThread>3, 96, 0</timerThread>

        <!-- FPGA for LDPC Thread (Single core id value): Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <FpgaDriverCpuInfo>4, 96, 0</FpgaDriverCpuInfo>

        <!-- FPGA for Front Haul (FFT / IFFT) Thread (Single core id value): Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <!-- This thread should be created for timer mode and hence can be same core as LDPC polling core -->
        <FrontHaulCpuInfo>4, 96, 0</FrontHaulCpuInfo>

        <!-- DPDK Radio Master Thread (Single core id value): Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <radioDpdkMaster>2, 99, 0</radioDpdkMaster>
    </Threads>

Run L1 application:
```
# launch L1app
./l1.sh -e
```

Execute testmac after L1 is up and running in another terminal.

Enter the testmac directory inside Pod:

kubectl exec -it runpod -- bash
source set-l2-env.sh 5G

Edit testmac configuration file:

# Modify default CPU binding in section of <Threads> in testmac_cfg.xml
# Make sure to use the CPU from the CPU whose ID is bigger than 13,
# this way, the Application Threads will not overlap with the BBUPool CPUs.
<!-- CPU Binding to Application Threads -->
    <Threads>
        <!-- Wireless Subsystem Thread: Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <wlsRxThread>16, 90, 0</wlsRxThread>

        <!-- System Threads: Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <systemThread>14, 0, 0</systemThread>

        <!-- TestMac Run Thread: Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <runThread>14, 89, 0</runThread>

        <!-- Thread to send / receive URLLC APIS to / from testmac to Phy. It will be created only when the phy_config has URLLC Support added to it: Core, priority, Policy [0: SCHED_FIFO 1: SCHED_RR] -->
        <urllcThread>15, 90, 0</urllcThread>
    </Threads>

# workaround the known issue of parsing zero value in the config file
sed -i '/>0</d' testmac_cfg.xml

Run testmac application:

# launch testmac
./l2.sh --testfile=icelake-sp/icxsp_mu1_100mhz_mmimo_64x64_16stream_hton.cfg

# Note, case of 3389 is the most stringent case, we can comment out
# other cases in the file and run this case directly:
# TEST_FD, 3389, 3, 5GNR, fd/mu1_100mhz/383/fd_testconfig_tst383.cfg,
#                   5GNR, fd/mu1_100mhz/386/fd_testconfig_tst386.cfg,
#                   5GNR, fd/mu1_100mhz/386/fd_testconfig_tst386.cfg

Note

For detailed explanation of the XML configuration used by L1, refer to the FlexRAN documentation available at: https://www.intel.com/content/www/us/en/developer/topic-technology/edge-5g/tools/flexran.html