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Key enhancements in 5G-Advanced

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XR (AR, VR, gaming): 5G-Advanced will enhance today’s XR experience by expanding the reach of VR and immersive AR applications and the cloud gaming experience. 5G-Advanced will offer users a superior XR experience while on the move, truly enabling a high-data-rate experience. It requires high data rates with strictly bounded latency constraints as well as a high degree of application awareness. This enhanced application awareness helps to move the XR processing load from the device into the network cutting down on the cost, size, and power of user equipment. Older bulkier devices will be replaced by much smaller pocket-sized models that will enable XR use cases everywhere. This could grant users the true perception of being in a remote environment and allow them to efficiently interact in such surroundings, no matter where they are physically located.





  • Enhanced coverage and MIMO performance: 5G-Advanced will address the huge growth in uplink demanding applications such as live high-quality video streaming. It is expected that 5G-Advanced will offer 20 percent higher data rates compared to 5G through innovations. It will also address lower uplink latencies. A prerequisite for good end-user experience in an XR world is that we have low latencies in both link directions, as XR applications often require highly responsive bidirectional communication. Uplink coverage improvements are also part of 5G-Advanced.

  • 5G to replace GSM-R: Extending 5G-Advanced to certain specialized vertical use cases across sectors from railways and utilities to public safety calls for the ability to deploy NR in dedicated spectrum bandwidths below 5MHz. Delivering next-generation signaling and communications for railways by adapting 5G to their allocated spectrum bandwidth, connecting next-generation smart grids, and powering ultra-connected and responsive blue-light services, is one of the examples. In Europe, it has been decided that the Future Railway Mobile Communication System (FRMCS) which will replace GSM-R will use 5G NR.

  • Evolution beyond smartphone: 5G-Advanced will also usher in an era of new types of devices that benefit from the coverage and efficient connectivity of 5G.   We will see a plethora of new types of full-capability devices beyond smartphones as well as devices that do not need to implement every aspect of its immense performance and flexibility. This also allows for significantly lower device costs. These devices are called ‘Reduced Capability’ or RedCap devices and are ideal for use cases such as video surveillance for industrial quality control, process monitoring, or sensing and asset tracking. In this way, smart wearable electronics with a small form factor can be designed which have at the same time long-lasting batteries. In industrial process monitoring and quality control scenarios, the frequent transaction of small data packets can be transmitted efficiently to support network performance. Also, the use of full-capability devices such as Unmanned Aerial Vehicles (UAVs), or drones, is expected to grow with applications ranging from search and rescue to parcel delivery and aerial displays. Not only drones but also autonomous vehicles, robots, and Automated Ground Vehicles (AGVs) will thrive with 5G-Advanced networks tailored to ensure reliable communications with base stations.

  • Accurate positioning:  5G-Advanced will also offer enhancements in terms of cellular-based positioning including the identification of non-line-of-sight paths as well as centimeter-level accuracy, for both indoors and outdoors scenarios. In indoor, it will work as a complement to outdoor global navigation satellite systems (GNSS) and hence can be used in buildings for industrial automation or logistics or tunnels for automotive or public safety. Thanks to accurate positioning and RedCap, 5G connected tags for asset tracking can be implemented. One day, these tags may even be able to harvest energy from their environment.

  • Resilient timing: 5G is becoming a viable alternative or supplement to GNSS/GPS for providing time synchronization to Universal Time Coordinated (UTC) or any well-defined time domain, supporting everything from industrial automation to real-time financial transactions and smart grids. In today's smart grid, electricity flows in multiple directions. Therefore, highly accurate, simultaneous, and continuous monitoring is needed to avoid imbalances and that demands extremely accurate micro-and millisecond-level time information.

  • Network operation efficiency: 5G-Advanced will introduce new AI and ML technologies across the RAN, core, and network management domains that will enhance performance, automation, and energy efficiency. This includes solutions for more efficient data collection, AI/ML model training and model exchange between AI/ML agents, and for the first time, also introducing AI/ML at the air interface to further boost the 5G-Advanced radio performance. With the exponential growth of cellular traffic, energy efficiency must continue to be addressed in 5G-Advanced with the implementation of new energy-saving features. It will need a combination of well-designed standards and outstanding implementation supported by artificial intelligence and machine learning to predict traffic variations and obtain energy savings in line with the traffic demands. In addition, the operational innovations address slicing enhancement and the integration of non-3GPP access technologies like Wi-Fi. 

  • Enhanced sidelink: 5G-Advanced continues to enhance direct communication between users or users and infrastructure. Sidelink enhancements will include mechanisms to support device-to-device (UE-to-UE) relay allowing users to receive information from networks via other users.  

  • Enhanced mobility: 5G-Advanced will target virtually zero service interruption times during handovers without compromising robustness. This is vital for devices on the move with latency-critical services such as XR, IIoT, or URLLC. 


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