- Add doc of FlexRAN 21.11 build, deploy and run on StarlingX - Some minor change in doc of FlexRAN 21.07 Story: 2009750 Task: 44264 Change-Id: I6734eb59a23c5819dc4d9ed7327e2cb789cb24aa Signed-off-by: Litao Gao <litao.gao@windriver.com>
30 KiB
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 .
This document provides details on how to build FlexRAN software for , generate a containerized version of the prebuilt FlexRAN binaries, and deploy on 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 OpenSource Edge computing platform.
AIO Simplex Installation
Prepare USB stick with StarlingX Installation ISO
Get StarlingX Installation ISO from following location:
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 aio_simplex_hardware_r6
for , 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 |
|
Accelerator Card | Mt. Bryce ACC100 (Intel eASIC chip which can be mounted on third party card) |
The FlexRAN application on 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.
aio_simplex_install_kubernetes_r6
:
In addition to required configuration, you must set up the Ceph backend for Kubernetes , 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 / Mount Bryce:
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 -e true --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 BBDEV v21.07 Patch
This patch file is also available in FlexRAN Software Wireless Access Solutions mentioned above.
version 20.11.1
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 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 , 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 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 for FlexRAN build storage:
Note
The 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 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 :
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 :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 source code into the pod's :
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 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 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