Abstract: Methods and systems for artificial intelligence (AI)-based communications are disclosed. At a second node, a task request is transmitted to a first node, the task request requiring configuration of at least one of a wireless communication functionality or a local AI model at the second node. A first set of configuration information is received from the first node, including a set of model parameters for the local AI model. The local AI model is configured by the set of model parameters to generate inference data including at least one inferred control parameter for configuring the second node for wireless communication.

Abstract: Systems and methods of integrated sensing and communication are provided. These involve using a communications network for the exchange of both communications signals and sensing signals. A device on the network, which might be a user equipment or a network device, uses a first set of channels to transmit sensing signals for use in cooperative sensing involving a multiple devices, which may include user equipment and/or network devices, for sensing a target that is not registered in the network, such as a building. The device uses a second set of channels to transmit a communications signal. The second set of channels includes at least one channel not included in the first protocol stack.

Abstract: Some embodiments of the present disclosure provide a transmit receive point (TRP) with sensing abilities. Through sensing over time, the TRP can obtain details of past locations of a user equipment (UE) and a current location of the UE. Furthermore, the TRP can predict a future location for the UE. Accordingly, the TRP can proactively arrange for switching of beam directions used for both downlink channels and uplink channels.

Abstract: Some embodiments of the present disclosure provide proactive beam failure recovery initiation. The proactive initiation may occur at the transmit receive point or at the user equipment. Beam failure, which leads to the beam failure recovery initiation may be proactively detected using sensing or artificial intelligence. A part of any beam failure recovery process is new beam identification. Such new beam identification may be carried out in a traditional manner, using reference signal beam measurement and training. Alternatively, new beam identification may be carried out in a proactive manner, using sensing or artificial intelligence. When indicating a direction for the new beam, a coordinate system may be used. The indicating may reference an absolute beam direction or a differential beam direction by using the coordinate system.

Abstract: Some embodiments of the present disclosure provide beam indication solutions. A first solution relates to absolute beam indication and a second solution relates to differential beam indication. Through, for example, information determined using sensing, these beam indication solutions allow for information transfer between transmit receipt point and user equipment to occur on a relatively narrow beam. By reducing scanning, a solution based on beam indication aspects of the present application reduce overhead and, consequently, reduce latency. Another benefit of a narrow beam is improved spectral efficiency. The sensing may allow for a relationship between a beam and an external environment to be established. The relationship allows for a beam to be indicated in a direct and agile manner.

Abstract: A method and system are provided for scheduling data transmission in a Multiple-Input Multiple-Output (MIMO) system. The MIMO system may comprise at least one MIMO transmitter and at least one MIMO receiver. Feedback from one or more receivers may be used by a transmitter to improve quality, capacity, and scheduling in MIMO communication systems. The method may include generating or receiving information pertaining to a MIMO channel metric and information pertaining to a Channel Quality Indicator (CQI) in respect of a transmitted signal; and sending a next transmission to a receiver using a MIMO mode selected in accordance with the information pertaining to the MIMO channel metric, and an adaptive coding and modulation selected in accordance with the information pertaining to the CQI.

Abstract: An air interface is the wireless communications link between two or more communicating devices. An air interface generally includes a number of components that specify how a transmission is to be sent and/or received, e.g. components defining a waveform, a frame structure, a multiple access scheme, a coding scheme, etc. Artificial intelligence (AI) may be implemented in relation to one or more components of the air interface. Therefore, a network may need to accommodate operation for both air interfaces that are not AI enabled and air interfaces that are AI enabled. In some embodiments, methods are provided for switching between different AI modes and a non-AI mode. In some embodiments, a measurement signaling mechanism and related feedback channel configuration is provided so that the same measurement signaling mechanism and related feedback channel may be used regardless of whether a device implements an AI-enabled air interface.

Abstract: Restrictions associated with the use of multiple carriers in long-term evolution (LTE) and/or new radio (NR) may impede implementing a flexible personalized spectrum for different user equipments (UEs). Apparatuses, devices, and methods are instead provided in which there is more flexible spectrum utilization, e.g. in which there may be fewer restrictions and more options for configuring carriers and/or bandwidth parts (BWPs) on a UE-specific basis. As one example, in some embodiments, there is not necessarily coupling between carriers, e.g. between uplink and downlink carriers. For example, an uplink carrier and a downlink carrier may be independently indicated so as to allow the uplink carrier and downlink carrier to be independently added, released, modified, activated, deactivated, and/or scheduled.

Abstract: Restrictions associated with the use of multiple carriers in long-term evolution (LTE) and/or new radio (NR) may impede implementing a flexible personalized spectrum for different user equipments (UEs). Apparatuses, devices, and methods are instead provided in which there is more flexible spectrum utilization, e.g. in which there may be fewer restrictions and more options for configuring carriers and/or bandwidth parts (BWPs) on a UE-specific basis. As one example, there may be a plurality of uplink and/or downlink carriers, with signaling indicating addition, modification, release, activation, deactivation, and/or scheduling of a particular carrier of the uplink carriers and/or downlink carriers, e.g. on an independent carrier-by-carrier basis.

Abstract: The present disclosure relates, in part, to non-terrestrial communication systems, and in some embodiments to the integration of terrestrial and non-terrestrial communication systems. Non-terrestrial communication systems can provide a more flexible communication system with extended wireless coverage range and enhanced service quality compared to conventional communication systems.

Abstract: Embodiments of the invention describe a novel solution to enhance network service to devices with limited or no connectivity. Embodiments include network-aware nodes deployed by an end-user or operator which are configured by a network to achieve enhanced coverage, enhanced throughput, enhanced battery life, and mitigation of cell boundary experiences, etc. Embodiments provide these benefits to a specified or non-specified set of user equipment (e.g., neighboring user equipment). The service expansion terminal can be an available user equipment that is idle and that has been volunteered, assigned, or is a dedicated node with limited user interface and designed for carrying out enhanced coverage, enhanced throughput, enhanced battery life, and the mitigation of cell boundary experiences, etc.

Abstract: The present disclosure relates, in part, to non-terrestrial communication systems, and in some embodiments to the integration of terrestrial and non-terrestrial communication systems. Non-terrestrial communication systems can provide a more flexible communication system with extended wireless coverage range and enhanced service quality compared to conventional communication systems.

Abstract: System and method embodiments are provided for enabling flexible and reliable UE-to-UE based relay. The embodiments include using fountain codes for combining signals at a suitable network layer higher than a media access control (MAC) sub-layer and using a MAC sub-layer hybrid automatic repeat request (HARQ) transmission scheme. When a relay UE in a UE group for joint reception receives, from a network access point, a data packet intended for a destination UE in the UE group and including fountain code at the higher network layer, the relay UE sends the data packet to the destination UE and returns a HARQ ACK message at the MAC sub-layer to the access point. The destination UE then receives and decodes the data packet. Subsequently, upon receiving the entire data, the destination UE sends an ACK message at the higher network layer to the access point.

Abstract: The present disclosure relates to uplink cooperative multi-User Equipment (UE) cooperative transmission such as Multiple-Input Multiple-Output (MIMO) transmission. Source data of a source UE that is to be transmitted via uplink cooperative transmission by multiple UEs, is transmitted to at least one cooperative UE over an SL. The source data is associated with an identifier for identifying the UE to the network equipment as a source of the source data. The multiple UEs transmit the source data and the identifier in an uplink direction to the network equipment. The network equipment receives the source data from the multiple UEs in a cooperative transmission such as cooperative MIMO transmission, and obtains the identifier for identifying the source UE as the source of the source data.

Abstract: A method for operating a device includes determining adaptation criteria for a waveform to be transmitted by a transmitting device over a communications channel towards a receiving device, and adjusting a generalized multi-carrier multiplexing parameter (GMMP) of the waveform in accordance with the adaptation criteria. The method also includes transmitting an indicator of the adjusted GMMP to at least one of the transmitting device and the receiving device.

Abstract: By defining more SCS options and Discrete Fourier Transform (“DFT”) options for transmissions in future networks, there arises cause to select from among the options, with aspects of the channel as guidance for the selection. In addition, new CP designs may be defined for use with the new SCS options and the new DFT options along with methods of selecting a CP design appropriate to a particular situation. The new CP designs may be shown to have smaller CP overhead when compared to the known CP designs used for known combinations of an SCS option with an FFT size option. New sampling frequency design options and new system basic timing options may also be defined, along with methods of making appropriate selections from among these options. Control signaling using higher layers may be used to distribute configuration options that include multiple SCS options, CP duration options, sampling frequency options and DFT size options per sub-band.

Abstract: Methods and devices utilizing artificial intelligence (AI) or machine learning (ML) for customization of a device specific air interface configuration in a wireless communication network are provided. An over the air information exchange to facilitate the training of one or more AI/ML modules involves the exchange of AI/ML capability information identifying whether a device supports AI/ML for optimization of the air interface.

Abstract: The present disclosure relates to uplink cooperative multi-User Equipment (UE) cooperative transmission such as Multiple-Input Multiple-Output (MIMO) transmission. Source data of a source UE that is to be transmitted via uplink cooperative transmission by multiple UEs, is transmitted to at least one cooperative UE over an SL. The source data is associated with an identifier for identifying the UE to the network equipment as a source of the source data. The multiple UEs transmit the source data and the identifier in an uplink direction to the network equipment. The network equipment receives the source data from the multiple UEs in a cooperative transmission such as cooperative MIMO transmission, and obtains the identifier for identifying the source UE as the source of the source data.

Abstract: System and method embodiments are provided for non-cellular wireless access. In an embodiment, a method for non-cell grid based radio access in a radio access network includes determining, by a controller, a group of transmit points (TPs) to assign to a logical entity; assigning, by the controller, a logical entity identifier (ID) to the logical entity, wherein the logical entity ID identifies the logical entity through which a user equipment (UE) communicates with the radio access network; and causing, by the controller, at least one of the TPs in the logical entity to send signals to the UE.

Abstract: Methods and devices utilizing artificial intelligence (AI) or machine learning (ML) for customization of a device specific air interface configuration in a wireless communication network are provided. An over the air information exchange to facilitate the training of one or more AI/ML modules involves the exchange of AI/ML capability information identifying whether a device supports AI/ML for optimization of the air interface.