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EP-4740520-A1 - APPARATUS AND METHOD FOR HANDLING USER EQUIPMENT CAPABILITY FRAMEWORK IN A WIRELESS COMMUNICATION SYSTEM

EP4740520A1EP 4740520 A1EP4740520 A1EP 4740520A1EP-4740520-A1

Abstract

The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). Disclosed a system (1800) and a method (1600) of handling Multi Radio Access Technology (multi-RAT) -Dual Connectivity (MR-DC) filter for User Equipment (UE) Capability Enquiry (UCE) in 6G including a Master Node (MN), a first Secondary Node (SN1), and a second Secondary Node (SN2). The method includes generating a combined MR-DC filter for a MN RAT container by a logical OR operation of a first MR-DC filter and a second MR-DC filter. The first MR-DC filter is for the SN1 and one or more MN-SN1 RAT containers. Further, the second MR-DC filter is for the SN2 and one or more MN-SN2 RAT containers.

Inventors

  • CHATURVEDI, ABHISHEK
  • EKKUNDI, MANASI
  • SHARMA, NEHA

Assignees

  • Samsung Electronics Co., Ltd.

Dates

Publication Date
20260513
Application Date
20240711

Claims (15)

  1. A method (1600) of handling Multi Radio Access Technology (multi-RAT) -Dual Connectivity (MR-DC) filter for User Equipment (UE) Capability Enquiry (UCE) in 6G including a Master Node (MN), a first Secondary Node (SN1), and a second Secondary Node (SN2), the method (1600) comprising: generating (1601) a combined MR-DC filter for a MN RAT container by a logical OR operation of a first MR-DC filter and a second MR-DC filter, wherein the first MR-DC filter is for the SN1 and one or more MN-SN1 RAT containers, and the second MR-DC filter is for the SN2 and one or more MN-SN2 RAT containers.
  2. The method (1600) of claim 1, further comprising: generating (1603) a RAT container type to MR-DC filter mapping upon generation of the combined MR-DC filter.
  3. The method (1600) of claim 2, further comprising: sending (1605), by the MN to a User Equipment (UE), a UCE message to enquire UE's capability for each type of RAT containers, wherein the UCE message includes the RAT container type to the MR-DC filter mapping that is via a non-critical extension Information Element (IE).
  4. The method (1600) of claim 3, wherein: the non-critical extension IE includes a sequence of numbers which are indices mapped to the corresponding filter; and each of the RAT container type uses the in-sequence indexed numbers to determine the MR-DC filter value to apply on a specific RAT container.
  5. The method (1600) of claim 1, further comprising: sending (1605), by the MN to a User Equipment (UE), a UCE message to enquire UE's capability for each type of RAT containers; and providing (1607), by the MN to the UE, a type of filter for each type of RAT containers via a capability request filter Information Element (IE), wherein the capability request filter IE includes a mapping information of RAT container type to MR-DC filter.
  6. The method (1600) of claim 1, further comprising: sending, by the MN to a User Equipment (UE), a first UCE message to enquire UE's capability for the MN RAT container using the combined MR-DC filter; sending, by the MN to the UE, a second UCE message to enquire the UE's capability for the SN1 and MN-SN1 RAT containers using the first MR-DC filter; and sending, by the MN to the UE, a third UCE message to enquire about the UE's capability for the SN2 and MN-SN2 RAT containers using the second MR-DC filter.
  7. The method (1600) of claim 6, further comprising splitting, by the MN, the second UCE message and the third UCE message into two separate messages.
  8. The method (1600) of claim 6, further comprising adding, by the MN, a rrc-SegAllowed Information Element (IE) in the UCE messages to aid the UE to maintain UE Capability Information (UCI) message size based on a maximum Packet Data Convergence Protocol Service Data Unit (PDCP SDU) size.
  9. The method (1600) of claim 1, further comprising: receiving (1609), by a User Equipment (UE) from the MN, a UCE message to enquire UE's capability for each type of RAT containers; determining (1611), by the UE, whether a non-critical extension Information Element (IE) included in the UCE message includes MR-DC filters; and using (1613), by the UE, an MR-DC filter index which is provided by a value present at corresponding RAT container position in the non-critical extension IE.
  10. The method (1600) of claim 9, further comprising: when the UCE message includes a 6G container and the UE supports the 6G: including, by the UE, radio access capabilities for the 6G and band combinations within a corresponding UE capability RAT container with RAT type set as the 6G.
  11. The method (1600) of claim 9, further comprising: in a case when the UCE message includes one of eutra-6G or nr-6G and the UE supports the eutra-6G or the nr-6G: including, by the UE, radio access capabilities for one of the eutra-6G or the nr-6G and band combinations within a corresponding UE capability RAT container with RAT type set as one of the eutra-6G or the nr-6G.
  12. A method (1700) of handling User Equipment (UE) Capability framework aspect in 6G including a Master Node (MN), a first Secondary Node (SN1), and a second Secondary Node (SN2), the method (1700) comprising: defining (1701) a database containing a plurality of combination of rf featureSets, wherein each combination of the rf featureSets is stored as a definition in the database, each definition is mapped to a unique pre-defined identifier, and the unique pre-defined identifier is an index value based on max possible number of combinations of the rf featureSets; and storing (1703), the database, at a User Equipment (UE) and the MN.
  13. The method (1700) of claim 12, further comprising: receiving (1705), by the UE from the MN, a UE Capability Enquiry (UCE) message including Multi RAT-Dual Connectivity (MR-DC) filter; generating (1707), by the UE, a UE Capability Information (UCI) message by fetching proposed identifiers for the feature set to include in the UCI message; including (1709), by the UE, the proposed identifiers as part of the UCI message by querying the database of the UE; sending (1711), by the UE to the MN, the generated UCI message; receiving (1713), by the MN from the UE, the generated UCI message; and decoding (1715), by the MN, the UCI by performing a reverse-query to the MN side database for actual featureSet definitions of each rf container.
  14. An apparatus (1800) for handling Multi Radio Access Technology (multi-RAT) -Dual Connectivity (MR-DC) filter for User Equipment (UE) Capability Enquiry (UCE) in 6G including a Master Node (MN), a first Secondary Node (SN1), and a second Secondary Node (SN2), the apparatus (1800) comprising: at least one processor (1802) configured to: generate a combined MR-DC filter for a MN RAT container by a logical OR operation of a first MR-DC filter and a second MR-DC filter, wherein the first MR-DC filter is for the SN1 and one or more MN-SN1 RAT containers, and the second MR-DC filter is for the SN2 and one or more MN-SN2 RAT containers.
  15. An apparatus (1800) for handling User Equipment (UE) Capability framework aspect in 6G including a Master Node (MN), a first Secondary Node (SN1), and a second Secondary Node (SN2), the apparatus (1800) comprising: at least one processor (1802) configured to: define a database containing a plurality of combination of rf featureSets, wherein each combination of the rf featureSets is stored as a definition in the database, each definition is mapped to a unique pre-defined identifier, and the unique pre-defined identifier is an index value based on max possible number of combinations of the rf featureSets; and store, the database, at a User Equipment (UE) and the MN.

Description

APPARATUS AND METHOD FOR HANDLING USER EQUIPMENT CAPABILITY FRAMEWORK IN A WIRELESS COMMUNICATION SYSTEM The present invention generally relates to wireless communication networks, and more specifically, relates to a system and a method for handling User Equipment (UE) capability negotiation framework aspects in a Sixth Generation (6G) architecture. Considering the development of wireless communication from generation to generation, the technologies have been developed mainly for services targeting humans, such as voice calls, multimedia services, and data services. Following the commercialization of 5G (5th generation) communication systems, it is expected that the number of connected devices will exponentially grow. Increasingly, these will be connected to communication networks. Examples of connected things may include vehicles, robots, drones, home appliances, displays, smart sensors connected to various infrastructures, construction machines, and factory equipment. Mobile devices are expected to evolve in various form-factors, such as augmented reality glasses, virtual reality headsets, and hologram devices. In order to provide various services by connecting hundreds of billions of devices and things in the 6G (6th generation) era, there have been ongoing efforts to develop improved 6G communication systems. For these reasons, 6G communication systems are referred to as beyond-5G systems. 6G communication systems, which are expected to be commercialized around 2030, will have a peak data rate of tera (1,000 giga)-level bit per second (bps) and a radio latency less than 100μsec, and thus will be 50 times as fast as 5G communication systems and have the 1/10 radio latency thereof. In order to accomplish such a high data rate and an ultra-low latency, it has been considered to implement 6G communication systems in a terahertz (THz) band (for example, 95 gigahertz (GHz) to 3THz bands). It is expected that, due to severer path loss and atmospheric absorption in the terahertz bands than those in mmWave bands introduced in 5G, technologies capable of securing the signal transmission distance (that is, coverage) will become more crucial. It is necessary to develop, as major technologies for securing the coverage, Radio Frequency (RF) elements, antennas, novel waveforms having a better coverage than Orthogonal Frequency Division Multiplexing (OFDM), beamforming and massive Multiple-input Multiple-Output (MIMO), Full Dimensional MIMO (FD-MIMO), array antennas, and multiantenna transmission technologies such as large-scale antennas. In addition, there has been ongoing discussion on new technologies for improving the coverage of terahertz-band signals, such as metamaterial-based lenses and antennas, Orbital Angular Momentum (OAM), and Reconfigurable Intelligent Surface (RIS). Moreover, in order to improve the spectral efficiency and the overall network performances, the following technologies have been developed for 6G communication systems: a full-duplex technology for enabling an uplink transmission and a downlink transmission to simultaneously use the same frequency resource at the same time; a network technology for utilizing satellites, High-Altitude Platform Stations (HAPS), and the like in an integrated manner; an improved network structure for supporting mobile base stations and the like and enabling network operation optimization and automation and the like; a dynamic spectrum sharing technology via collision avoidance based on a prediction of spectrum usage; an use of Artificial Intelligence (AI) in wireless communication for improvement of overall network operation by utilizing AI from a designing phase for developing 6G and internalizing end-to-end AI support functions; and a next-generation distributed computing technology for overcoming the limit of UE computing ability through reachable super-high-performance communication and computing resources (such as Mobile Edge Computing (MEC), clouds, and the like) over the network. In addition, through designing new protocols to be used in 6G communication systems, developing mechanisms for implementing a hardware-based security environment and safe use of data, and developing technologies for maintaining privacy, attempts to strengthen the connectivity between devices, optimize the network, promote softwarization of network entities, and increase the openness of wireless communications are continuing. It is expected that research and development of 6G communication systems in hyper-connectivity, including person to machine (P2M) as well as machine to machine (M2M), will allow the next hyper-connected experience. Particularly, it is expected that services such as truly immersive eXtended Reality (XR), high-fidelity mobile hologram, and digital replica could be provided through 6G communication systems. In addition, services such as remote surgery for security and reliability enhancement, industrial automation, and emergency response will be provided throu