Abstract: The disclosure relates to a ML-based method for determining a CCE aggregation level for a UE in a PDCCH. The method comprises obtaining RBS traces. The method comprises training, using first data obtained from the traces, a machine learning model to predict a probability of discontinuous transmission (DTX) “isDTX probability”. The method comprises inputting second data obtained from the traces into the machine learning model, obtaining the isDTX probability and expanding the second data with the isDTX probability. The method comprises, for each of a plurality of probability thresholds (PTs) and for each of a plurality of strategies, selecting a data having an isDTX probability greater or equal to the PT and best satisfying the strategy and using the data to train a classifier. The method comprises selecting one classifier and using the classifier for determining the CCE aggregation level for the UE in the PDCCH.

Abstract: Various embodiments disclosed herein provide for a method and apparatus to configure different User Specific Search spaces (USSs) for Physical Downlink Control Channel (PDCCH) candidates for different User Equipment devices (UEs). By selecting different USS configurations for different UEs, the search spaces can cover fewer symbols that there can be more PDCCH candidates in each symbol. By configuring each UE with a selected USS, the PDCCH capacity can be improved by optimizing Control Channel Element (CCE) utilization and improving downlink capacity by increasing the number of symbols used for Physical Downlink Shared Channel (PDSCH) use.

Abstract: Methods, systems and apparatuses are disclosed for configuring application layer preemptive scheduling requests for ultra-low latency. A wireless device (WD) configured to communicate with a network node is described. The WD comprises processing circuitry and a radio interface in communication with the processing circuitry. The processing circuitry is configured to determine indication data associated with a future transmission. The radio interface is configured to transmit a scheduling request, SR, on a periodic SR opportunity based at least on the received indication data.

Abstract: Systems and methods are disclosed herein for a Convex Reduction of Amplitude (CRAM) based processing scheme for a Multiple Input Multiple Output (MIMO) Orthogonal Division Multiplexing (OFDM) transmitter system. In one embodiment, a method performed by a processing system for a MIMO OFDM transmitter system comprises precoding frequency-domain input signals to provide frequency-domain precoded signals for multiple subcarriers. The method further comprises processing the frequency-domain precoded signals in accordance with a CRAM-based processing scheme to provide time-domain precoded signals for respective transmit branches of the MIMO OFDM transmitter system. The CRAM-based processing scheme uses projection matrices for the subcarriers, respectively, to project clipping energy into a null space of the MIMO OFDM transmitter system. Further, the projection matrices are a function of static or semi-static information that defines the null space of the MIMO OFDM transmitter system.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: Apparatuses and methods for uplink control information (UCI) coordination for distributed carrier aggregation (CA) scheduling are provided. In some embodiments, a method in a first scheduler node of a first cell is provided that comprises receiving data for a wireless device (WD), the data to be scheduled for transmission to the WD in a second cell; transferring the data to a second scheduler node for scheduling transmission of the data in the second cell; and, as a result of the transfer of the data, receiving a scheduling decision from the second scheduler node, the received scheduling decision scheduling the transmission of at least a portion of the data to the WD in at least one physical downlink channel in the second cell.

Abstract: Apparatuses and methods are disclosed for parameter setting. In one embodiment, a method includes receiving a first signaling from the management node at the second hierarchical level, the first signaling corresponding to a first predetermined model; obtaining at least one local measurement value, the at least one local measurement value indicative of a local state of the wireless communication network; processing the at least one local measurement value based on the received first predetermined model to identify at least one parameter value independent of the management node; and managing local state of the wireless communication network by performing at least one predetermined action associated with the identified at least one parameter value.

Abstract: Systems and methods of the present disclosure are directed to a method performed by a network node. The method includes determining whether Physical Channel (PCH) blocking has occurred for consecutive Transmission Time Intervals (TTIs) on a cell controlled by the network node, wherein PCH blocking occurs when Wireless Communication Devices (WCD) served by the cell cannot be scheduled for transmission in the cell due to unavailability of PCH resources in one or more consecutive TTIs. The method includes adjusting a target Block Error Rate (BLER) for link adaptation for a plurality of WCDs served by the cell based on whether PCH blocking has occurred for the plurality of consecutive TTIs on the cell to obtain a modified target BLER for link adaptation for the plurality of WCDs served by the cell.

Abstract: Methods, systems and apparatuses are disclosed for configuring application layer preemptive scheduling requests for ultra-low latency. A wireless device (WD) configured to communicate with a network node is described. The WD comprises processing circuitry and a radio interface in communication with the processing circuitry. The processing circuitry is configured to determine indication data associated with a future transmission. The radio interface is configured to transmit a scheduling request, SR, on a periodic SR opportunity based at least on the received indication data.

Abstract: Systems and methods are disclosed herein for a Convex Reduction of Amplitude (CRAM) based processing scheme for a Multiple Input Multiple Output (MIMO) Orthogonal Division Multiplexing (OFDM) transmitter system. In one embodiment, a method performed by a processing system for a MIMO OFDM transmitter system comprises precoding frequency-domain input signals to provide frequency-domain precoded signals for multiple subcarriers. The method further comprises processing the frequency-domain precoded signals in accordance with a CRAM-based processing scheme to provide time-domain precoded signals for respective transmit branches of the MIMO OFDM transmitter system. The CRAM-based processing scheme uses projection matrices for the subcarriers, respectively, to project clipping energy into a null space of the MIMO OFDM transmitter system. Further, the projection matrices are a function of static or semi-static information that defines the null space of the MIMO OFDM transmitter system.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: According to one or more embodiments, a network node configured to communicate with a wireless device is provided. The network node includes processing circuitry configured to: receive a channel state information, CSI, report indicating a bias of the CSI report; determine the bias of the CSI report based at least on the indication; and set an initial outerloop link adaptation, OLLA, based at least on the determined bias of the CSI report.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: Apparatuses and methods for uplink control information (UCI) coordination for distributed carrier aggregation (CA) scheduling are provided. In some embodiments, a method in a first scheduler node of a first cell is provided that comprises receiving data for a wireless device (WD), the data to be scheduled for transmission to the WD in a second cell; transferring the data to a second scheduler node for scheduling transmission of the data in the second cell; and, as a result of the transfer of the data, receiving a scheduling decision from the second scheduler node, the received scheduling decision scheduling the transmission of at least a portion of the data to the WD in at least one physical downlink channel in the second cell.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: Apparatuses and methods are disclosed for parameter setting. In one embodiment, a method includes receiving a first signaling from the management node at the second hierarchical level, the first signaling corresponding to a first predetermined model; obtaining at least one local measurement value, the at least one local measurement value indicative of a local state of the wireless communication network; processing the at least one local measurement value based on the received first predetermined model to identify at least one parameter value independent of the management node; and managing local state of the wireless communication network by performing at least one predetermined action associated with the identified at least one parameter value.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: Data is scrambled at a transmitter according to one of a number of predetermined scrambling sequences which are associated with a particular one of a number of predetermined transmit antenna diversity schemes (i.e., a specific number of transmit antenna ports). Received data is decoded using one or more of the known transmit antenna diversity schemes and the scrambled data is descrambled according to a corresponding descrambling sequence (related to the scrambling sequence). Based on the descrambled data, the receiver determines which transmit antenna diversity scheme (i.e., the number of antenna ports) is used by the transmitter. In one specific embodiment, CRC parity data is scrambled in the transmitter and the receiver descrambles the recovered CRC parity data according to a descrambling sequence, computes CRC parity data from the received data, and compares the descrambled CRC parity data to the newly computed CRC parity data.

Abstract: Systems and methods are disclosed herein for an enhanced Multimedia Broadcast Multicast Service (MBMS) in a wireless communications network. In one embodiment, a number of base stations in a MBMS zone, or broadcast region, accommodate both Spatial Multiplexing (SM) enabled user elements and non-SM enabled user elements. In another embodiment, a number of base stations form a MBMS zone, or broadcast region, where the MBMS zone is sub-divided into an SM zone and a non-SM zone. In another embodiment, the wireless communications network includes multiple MBMS zones. For each MBMS zone, base stations serving the MBMS zone transmit an MBMS zone identifier (ID) for the MBMS zone. The MBMS zone ID may be used by a user element for decoding and/or to determine when to perform a handoff from one MBMS zone to another.