MWC 2021: Qualcomm and the Wide-Area 5G Evolution
Chinese, English, French, German, Japanese, Korean, Spanish, and Portuguese captions available.
For MWC 2021, Qualcomm featured three demonstrations that visualize the wide-area 5G technology evolution, focusing on cross-node machine learning, 5G NR light evolution, and 5G device disaggregation.
In the first demo, we compare two scenarios that showcase how to improve performance and efficiency in the 5G system by simulating a massive MIMO system with multiple gNodeBs. In scenario one, we see the baseline Release 16 type 2 codebook-based CSI. Here we have the device send back implicit channel feedback to the network as part of the uplink. In the second scenario, using cross-node machine learning, the device sends explicit CSF back to the gNodeB, allowing for lower overhead feedback and efficient multi-user multiplexing. By looking at these two scenarios, we see how machine learning enables faster evolution driven by enhancements in neural networks compared to the Release 16 baseline.
In the second demo, we illustrate a gNodeB that provides wide-area 5G IoT coverage to the devices in range by taking a look at three different use cases. One of the use cases focuses on a truck carrying cargo with various low-power sensors inside the metallic enclosure, which experiences difficulties communicating to the wide-area 5G network due to power limitation and penetration loss incurred inside the truck. Now, the NR-Light evolution introduces sidelink allowing the sensors to communicate directly to a relay on the truck at a much lower transmit power and achieve extended coverage. The reduced transmit power also leads to improved device power consumption. This example shows how NR-Light in Release 17 and its evolution Release 18 can efficiently support lower-complexity IoT devices, providing benefits such as power enhancements and range extension through sidelink.
In the third and final demo, we take a quick deep dive into the disaggregation of the 5G device stack. By looking at 5G network disaggregation, device disaggregation, and device-as-a-network, we can conclude that device stack disaggregation offers many benefits. This includes support of easy device management with individual subscription for multiple tethered devices over a single 5G physical connection, 5G end-to-end security and optimized QoS for tethered devices, 5G session continuity and seamless mobility, and enhanced user experience for services hosted on tethered devices.
Get the latest updates from MWC 2021: https://www.qualcomm.com/company/even...
Get more information on 5G: https://www.qualcomm.com/research/5g
Learn more about 5G NR air interface: https://www.qualcomm.com/research/5g/...
0:00 Cross-node ML Enhanced CSF
2:13 5G NR-Light Evolution with Sidelink
4:52 5G Device Disaggregation
English, Chinese, Japanese, Portuguese, and French captions available.
For MWC 2021, Qualcomm featured three demonstrations that visualize the wide-area 5G technology evolution, focusing on cross-node machine learning, 5G NR light evolution, and 5G device disaggregation.
In the first demo, we compare two scenarios that showcase how to improve performance and efficiency in the 5G system by simulating a massive MIMO system with multiple gNodeBs. In scenario one, we see the baseline Release 16 type 2 codebook-based CSI. Here we have the device send back implicit channel feedback to the network as part of the uplink. In the second scenario, using cross-node machine learning, the device sends explicit CSF back to the gNodeB, allowing for lower overhead feedback and efficient multi-user multiplexing. By looking at these two scenarios, we see how machine learning enables faster evolution driven by enhancements in neural networks compared to the Release 16 baseline.
In the second demo, we illustrate a gNodeB that provides wide-area 5G IoT coverage to the devices in range by taking a look at three different use cases. One of the use cases focuses on a truck carrying cargo with various low-power sensors inside the metallic enclosure, which experiences difficulties communicating to the wide-area 5G network due to power limitation and penetration loss incurred inside the truck. Now, the NR-Light evolution introduces sidelink allowing the sensors to communicate directly to a relay on the truck at a much lower transmit power and achieve extended coverage. The reduced transmit power also leads to improved device power consumption. This example shows how NR-Light in Release 17 and its evolution Release 18 can efficiently support lower-complexity IoT devices, providing benefits such as power enhancements and range extension through sidelink.
In the third and final demo, we take a quick deep dive into the disaggregation of the 5G device stack. By looking at 5G network disaggregation, device disaggregation, and device-as-a-network, we can conclude that device stack disaggregation offers many benefits. This includes support of easy device management with individual subscription for multiple tethered devices over a single 5G physical connection, 5G end-to-end security and optimized QoS for tethered devices, 5G session continuity and seamless mobility, and enhanced user experience for services hosted on tethered devices.
Get the latest updates from MWC 2021: https://www.qualcomm.com/company/even...
Get more information on 5G: https://www.qualcomm.com/research/5g
Learn more about 5G NR air interface: https://www.qualcomm.com/research/5g/...
0:00 Cross-node ML Enhanced CSF
2:13 5G NR-Light Evolution with Sidelink
4:52 5G Device Disaggregation
English, Chinese, Japanese, Portuguese, and French captions available.
همه توضیحات ...