Qualcomm showcased a series of new technologies 5G-related vehicular and energy efficiency efforts in new networks during his presentation na MWC Barcelona 2021. Among the content presented, there is the 5g V2X sidelink system and technological improvements in wide-area 5G research topics with machine learning and 5G device disaggregation.

One of the most important innovations is the sidelink 5G V2X, a technology that will be used to connect vehicles to each other, as well as pedestrians, cyclists, local infrastructure and nearby roadside units. Qualcomm researchers said the ultimate goal of the technology is to improve traffic safety by connecting cars to more things (like wearables and devices) through 5G.

The focus, according to those responsible, is on delivering enhanced network capacity by offloading high-bandwidth data such as high-resolution local 3D maps from wide-area 5G networks. The enhancements aim to bring more robust communication with distributed time synchronization to maintain smooth communication when GNSS is not available.

Prevent accidents

The company envisions vehicle-to-vehicle communication helping prevent collisions, while vehicle-to-pedestrian communication will provide safety alerts for crossing roads. Another possible type of synchronization is between traffic light timing and vehicle connections, so the network can help provide real-time traffic updates and routing options for drivers.

The researchers carried out two demonstrations. The first demonstrated how a car encountering an obstacle could notify a vehicle hundreds of meters behind it of the blockage via a roadside unit. The second car would receive a real-time, high-resolution 3D map with local landmarks and other references to help with navigation. The second demonstration featured an illustration of how the cars would be able to communicate with each other even without GNSS satellite signals available, which are often lost in tunnels and parking garages.

The demonstration showed how multiple cars were able to communicate and share travel information with each other. Qualcomm noted that the technology is already being deployed in China and will come to the United States next year. The 5G V2X sidelink system operates on a dedicated 5,9GHz spectrum.

More efficient technology and greener networks

Another presentation The company focused on Qualcomm’s efforts to make its 5G technology more energy efficient. The company said its researchers are “pursuing greener networks,” including new advanced techniques such as digital post-distortion and high-efficiency modulation schemes that can greatly reduce the power consumption of a mobile network system while maintaining high-performance data links.

According to Qualcomm technical leaders, the new signal processing work could improve the efficiency of the power amplifier in existing base station hardware through a variety of methods, including federated over-the-air digital pre-distortion, peak-to-average power reduction, digital post-distortion, or some combination of these methods.

Qualcomm also showcased its recent advances in wide-area 5G prototypes and system simulations aimed at increasing network efficiency. The company demonstrated technology improvements across all key wide-area 5G research topics, including subband half-duplex, 5G wide-area positioning, cross-node machine learning, 5G NR-Light evolution with sidelink, and 5G device disaggregation.

IoT Coverage

For IoT, one of Qualcomm’s presentations focused on 5G NR-Light, also known as RedCap in 3GPP (RedCap, or capacity reduction, in 3GPP, a series of telecommunications standards bodies, is the technique that helps expand the 5G NR device ecosystem, enabling the growth of even more 5G use cases). The company illustrated how a gNodeB (5G logical radio node) could provide coverage Wide-area 5G IoT for devices within range, even for devices that have had difficulty communicating with the wide-area 5G network due to power limitations and loss of penetration.

Here, Qualcomm used cross-node machine learning methods to send explicit channel feedback back to the gNodeB base station. Tingfang Ji, senior director of engineering at Qualcomm, says that “machine learning can bring better performance and efficiency to the 5G system by exploring a new data-driven design approach for the air interface.”

Another demonstration focused on disaggregating the 5G device stack, aiming to create a more open and interoperable network, thus offering improved performance and efficiency. The concept of this disaggregation is to allow a range of devices to be supported through a single physical connection.

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