WO2024033676A1 - Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique - Google Patents

Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique Download PDF

Info

Publication number
WO2024033676A1
WO2024033676A1 PCT/IB2022/057384 IB2022057384W WO2024033676A1 WO 2024033676 A1 WO2024033676 A1 WO 2024033676A1 IB 2022057384 W IB2022057384 W IB 2022057384W WO 2024033676 A1 WO2024033676 A1 WO 2024033676A1
Authority
WO
WIPO (PCT)
Prior art keywords
wds
group
mimo
network node
noma
Prior art date
Application number
PCT/IB2022/057384
Other languages
English (en)
Inventor
Israfil Bahceci
Hamza SOKUN
Original Assignee
Telefonaktiebolaget Lm Ericsson (Publ)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Telefonaktiebolaget Lm Ericsson (Publ) filed Critical Telefonaktiebolaget Lm Ericsson (Publ)
Priority to PCT/IB2022/057384 priority Critical patent/WO2024033676A1/fr
Publication of WO2024033676A1 publication Critical patent/WO2024033676A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0452—Multi-user MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0697—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using spatial multiplexing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/566—Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient

Definitions

  • ENHANCED MULTI-USER MULTIPLE INPUT MULTIPLE OUTPUT USING DYNAMIC ORTHOGONAL MULTIPLE ACCESS-NON- ORTHOGONAL MULTIPLE ACCESS (OMA-NOMA) BASED CO- SCHEDULING AND SWITCHING TECHNICAL FIELD
  • MU-MIMO enhanced multi-user multiple input multiple output
  • OMA-NOMA dynamic orthogonal multiple access/non-orthogonal multiple access
  • the Third Generation Partnership Project (3GPP) has developed and is developing standards for Fourth Generation (4G) (also referred to as Long Term Evolution (LTE)) and Fifth Generation (5G) (also referred to as New Radio (NR)) wireless communication systems.
  • 4G also referred to as Long Term Evolution (LTE)
  • 5G also referred to as New Radio (NR)
  • 4G Long Term Evolution
  • 5G Fifth Generation
  • Massive MIMO systems are strategic for achieving extreme capacities for 5G and beyond wireless systems.
  • multi-user transmission is essential since the capacity for a single-user system is limited by the smaller of the number of transmit and receive antennas.
  • a NOMA scheme could be employed when WDs 22 are closely located. While non-orthogonal multiple access is suitable in cases where two or more WDs 22 can be separated in the power domain, the interference cancellation may not be as good as orthogonal multi-user MIMO if WDs 22 are not selected properly with separable power states. Solutions based on interference alignment have prohibitive complexity for real-time applications. While channel correlation-based solution can enable a standalone NOMA utilization at a given resource, such information will not suffice to co- schedule a mixture of OMA and NOMA users. This leads to underutilization of resources.
  • the access on each resource element is either performed via NOMA or OMA, or single user MIMO (SU-MIMO).
  • NOMA NOMA
  • OMA single user MIMO
  • SU-MIMO single user MIMO
  • a system is served assuming only one type of multi-user transmission, the system will perform sub optimally since it will not be able to utilize all available degrees of freedom achievable by the most suitable multi-user method.
  • existing solutions do not actively utilize beamforming for opportunistic user co-scheduling, e.g., creating spatial situations to improve spatial and spectral resource sharing opportunities.
  • Some embodiments advantageously provide methods and network nodes for enhanced multi-user multiple input multiple output (MU-MIMO) using dynamic orthogonal multiple access/non-orthogonal multiple access (OMA-NOMA) based coscheduling and switching.
  • Some embodiments provide dynamic and efficient co-scheduling and/or switching between spatially orthogonal multi-user MIMO access and non- orthogonal multiple access transmissions.
  • Some embodiments allow for any OMA/NOMA/MU/SU MIMO user scheduling mixture at a given resource. To that end, a directional context criteria is disclosed to realize orthogonal and non- orthogonal multi-user MIMO transmission opportunities.
  • user groups are created, one or more of the MU access strategies for a selected group are selected and a suitable precoding for each user is determined.
  • the achieved flexibility alleviates the burden on a MU-MIMO scheduler since the constraint on the pairs are relaxed. Further, depending on their spatial situation, an orthogonal or non-orthogonal access type is optimally determined.
  • Some embodiments also provide a beamforming strategy where user groups are adjusted to be served by multi-user MIMO transmissions or by a non-orthogonal multiple access method, or both.
  • Some embodiments provide for utilizing and/or controlling channel separation among the multi-user candidates and actively adjusting the channel distances to arrive at enhanced user pairing with orthogonal and non- orthogonal access based MIMO transmissions.
  • Some embodiments increase MIMO channel capacities by increasing the number of simultaneously served WDs. Some embodiments improve scheduling by reducing the burden on user pairing computations and allowing for more efficient allocation of computing resources. Some embodiments use active beam-forming strategies to create user-tuples being served by a legacy orthogonal MU-MIMO type access mode, a NOMA method, or both, on the same time-frequency resource elements. This decision can be based at least in part on an angular distance matrix.
  • a network node configured to communicate with a plurality of wireless devices, WDs, is provided.
  • the network node includes processing circuitry configured to determine a distance metric for each of a plurality of pairs of WDs, the distance metric being based at least in part on a channel between each WD of a pair of WDs and the network node.
  • the processing circuitry is also configured to include WD pairs having a distance metric less than a first threshold in a first group for non-orthogonal multiple access, NOMA and apply a NOMA precoder to transmissions to WDs in the first group.
  • the processing circuitry is further configured to include WDs having a distance metric greater than a second threshold in a second group for multiple user multiple input multiple output, MU- MIMO, access and apply an MU-MIMO precoder to transmissions to WDs in the second group.
  • the processing circuitry is further configured to include WDs having distance metric less than the second threshold but greater than the first threshold in a third group for single user MIMO, SU-MIMO, access and apply an SU-MIMO precoder to transmissions to WDs in the third group.
  • the processing circuitry is further configured to prioritize scheduling of WDs in the first group over scheduling of WDs in the second group.
  • the NOMA precoder is determined based at least in part on L selected singular vectors of a composite channel matrix of channel matrices of WDs in the first group. In some embodiments, the NOMA precoder is determined based at least in part on determining a set of L strongest beams separated by at least a specified phase angle. In some embodiments, each distance metric is a first function of a first product of a channel matrix of a first WD and a weight matrix X and is a second function of a second product of a channel matrix of a second WD and the weight matrix X, where X has a dimension chosen to select a column space corresponding to selected beams.
  • a WD is included in the first group only when the WD has an interference mitigation capability for at least as many interfering signals as WDs included in the first group.
  • the processing circuitry is further configured to include additional WDs in the first group until an interference mitigation capability of a WD in the first group is exceeded.
  • the MU-MIMO precoder is determined based at least in part on a concatenation of channel matrices. According to another aspect, in some embodiments, a method in a network node configured to communicate with a plurality of wireless devices, WDs, is provided.
  • the method includes determining a distance metric for each of a plurality of pairs of WDs, the distance metric being based at least in part on a channel between each WD of a pair of WDs and the network node.
  • the method also includes including WD pairs having a distance metric less than a first threshold in a first group for non-orthogonal multiple access, NOMA and apply a NOMA precoder to transmissions to WDs in the first group.
  • the method also includes including WDs having a distance metric greater than a second threshold in a second group for multiple user multiple input multiple output, MU-MIMO, access and apply an MU-MIMO precoder to transmissions to WDs in the second group.
  • the method includes including WDs having distance metric less than the second threshold but greater than the first threshold in a third group for single user MIMO, SU-MIMO, access and apply an SU-MIMO precoder to transmissions to WDs in the third group.
  • the method includes prioritizing scheduling of WDs in the first group over scheduling of WDs in the second group.
  • the NOMA precoder is determined based at least in part on L selected singular vectors of a composite channel matrix of channel matrices of WDs in the first group.
  • the NOMA precoder is determined based at least in part on determining a set of L strongest beams separated by at least a specified phase angle.
  • each distance metric is a first function of a first product of a channel matrix of a first WD and a weight matrix X and is a second function of a second product of a channel matrix of a second WD and the weight matrix X, where X has a dimension chosen to select a column space corresponding to selected beams.
  • a WD is included in the first group only when the WD has an interference mitigation capability for at least as many interfering signals as WDs included in the first group.
  • the method also includes including additional WDs in the first group until an interference mitigation capability of a WD in the first group is exceeded.
  • FIG. 1 is a schematic diagram of an example network architecture illustrating a communication system connected via an intermediate network to a host computer according to the principles in the present disclosure
  • FIG. 2 is a block diagram of a host computer communicating via a network node with a wireless device over an at least partially wireless connection according to some embodiments of the present disclosure
  • FIG. 1 is a schematic diagram of an example network architecture illustrating a communication system connected via an intermediate network to a host computer according to the principles in the present disclosure
  • FIG. 2 is a block diagram of a host computer communicating via a network node with a wireless device over an at least partially wireless connection according to some embodiments of the present disclosure
  • FIG. 1 is a schematic diagram of an example network architecture illustrating a communication system connected via an intermediate network to a host computer according to the principles in the present disclosure
  • FIG. 2 is a block diagram of a host computer communicating via a network node with a wireless device over an at least partially wireless connection according to some embodiments of the present disclosure
  • FIG. 1 is a schematic diagram
  • FIG. 3 is a flowchart illustrating example methods implemented in a communication system including a host computer, a network node and a wireless device for executing a client application at a wireless device according to some embodiments of the present disclosure
  • FIG. 4 is a flowchart illustrating example methods implemented in a communication system including a host computer, a network node and a wireless device for receiving user data at a wireless device according to some embodiments of the present disclosure
  • FIG. 5 is a flowchart illustrating example methods implemented in a communication system including a host computer, a network node and a wireless device for receiving user data from the wireless device at a host computer according to some embodiments of the present disclosure
  • FIG. 4 is a flowchart illustrating example methods implemented in a communication system including a host computer, a network node and a wireless device for receiving user data from the wireless device at a host computer according to some embodiments of the present disclosure
  • FIG. 5 is a flowchart illustrating example methods implemented in a communication system including a host
  • FIG. 6 is a flowchart illustrating example methods implemented in a communication system including a host computer, a network node and a wireless device for receiving user data at a host computer according to some embodiments of the present disclosure
  • FIG. 7 is a flowchart of an example process in a network node for enhanced multi-user multiple input multiple output (MU-MIMO) using dynamic orthogonal multiple access/non-orthogonal multiple access (OMA-NOMA) based coscheduling and switching
  • FIG. 8 is an illustration of OMA
  • FIG. 9 is an example of OMA and NOMA combined according to principles set forth herein
  • FIG. 10 is one example of a distance matrix according to principles disclosed herein
  • FIG. 11 is one example of user grouping based in part on the distance matrix of FIG.
  • FIG. 12 is a block diagram of a precoder 32 according to principles disclosed herein.
  • MU- MIMO enhanced multi-user multiple input multiple output
  • OMA-NOMA dynamic orthogonal multiple access/non-orthogonal multiple access
  • relational terms such as “first” and “second,” “top” and “bottom,” and the like, may be used solely to distinguish one entity or element from another entity or element without necessarily requiring or implying any physical or logical relationship or order between such entities or elements.
  • the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the concepts described herein.
  • the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise.
  • the joining term, “in communication with” and the like may be used to indicate electrical or data communication, which may be accomplished by physical contact, induction, electromagnetic radiation, radio signaling, infrared signaling or optical signaling, for example.
  • electrical or data communication which may be accomplished by physical contact, induction, electromagnetic radiation, radio signaling, infrared signaling or optical signaling, for example.
  • the term “coupled,” “connected,” and the like, may be used herein to indicate a connection, although not necessarily directly, and may include wired and/or wireless connections.
  • the term “network node” used herein can be any kind of network node comprised in a radio network which may further comprise any of base station (network node), radio base station, base transceiver station (BTS), base station controller (network nodeC), radio network controller (RNC), g Node B (gNB), evolved Node B (eNB or eNodeB), Node B, multi-standard radio (MSR) radio node such as MSR network node, multi-cell/multicast coordination entity (MCE), integrated access and backhaul (IAB) node, relay node, donor node controlling relay, radio access point (AP), transmission points, transmission nodes, Remote Radio Unit (RRU) Remote Radio Head (RRH), a core network node (e.g., mobile management entity (MME), self-organizing network (SON) no
  • MME mobile
  • the network node may also comprise test equipment.
  • radio node used herein may be used to also denote a wireless device (WD) such as a wireless device (WD) or a radio network node.
  • WD wireless device
  • UE user equipment
  • the WD herein can be any type of wireless device capable of communicating with a network node or another WD over radio signals, such as wireless device (WD).
  • the WD may also be a radio communication device, target device, device to device (D2D) WD, machine type WD or WD capable of machine to machine communication (M2M), low-cost and/or low-complexity WD, a sensor equipped with WD, Tablet, mobile terminals, smart phone, laptop embedded equipped (LEE), laptop mounted equipment (LME), USB dongles, Customer Premises Equipment (CPE), an Internet of Things (IoT) device, or a Narrowband IoT (NB-IOT) device, etc.
  • the generic term “radio network node” is used.
  • Radio network node may comprise any of base station, radio base station, base transceiver station, base station controller, network controller, RNC, evolved Node B (eNB), Node B, gNB, Multi-cell/multicast Coordination Entity (MCE), IAB node, relay node, access point, radio access point, Remote Radio Unit (RRU) Remote Radio Head (RRH).
  • RNC evolved Node B
  • MCE Multi-cell/multicast Coordination Entity
  • IAB node Multi-cell/multicast Coordination Entity
  • RRU Remote Radio Unit
  • RRH Remote Radio Head
  • WCDMA Wide Band Code Division Multiple Access
  • WiMax Worldwide Interoperability for Microwave Access
  • UMB Ultra Mobile Broadband
  • GSM Global System for Mobile Communications
  • functions described herein as being performed by a wireless device or a network node may be distributed over a plurality of wireless devices and/or network nodes.
  • the functions of the network node and wireless device described herein are not limited to performance by a single physical device and, in fact, can be distributed among several physical devices.
  • all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
  • Some embodiments provide enhanced multi-user multiple input multiple output (MU-MIMO) using dynamic orthogonal multiple access/non-orthogonal multiple access (OMA-NOMA) based coscheduling and switching.
  • MU-MIMO multi-user multiple input multiple output
  • OMA-NOMA dynamic orthogonal multiple access/non-orthogonal multiple access
  • FIG. 1 a schematic diagram of a communication system 10, according to an embodiment, such as a 3GPP-type cellular network that may support standards such as LTE and/or NR (5G), which comprises an access network 12, such as a radio access network, and a core network 14.
  • the access network 12 comprises a plurality of network nodes 16a, 16b, 16c (referred to collectively as network nodes 16), such as NBs, eNBs, gNBs or other types of wireless access points, each defining a corresponding coverage area 18a, 18b, 18c (referred to collectively as coverage areas 18).
  • Each network node 16a, 16b, 16c is connectable to the core network 14 over a wired or wireless connection 20.
  • a first wireless device (WD) 22a located in coverage area 18a is configured to wirelessly connect to, or be paged by, the corresponding network node 16a.
  • a second WD 22b in coverage area 18b is wirelessly connectable to the corresponding network node 16b. While a plurality of WDs 22a, 22b (collectively referred to as wireless devices 22) are illustrated in this example, the disclosed embodiments are equally applicable to a situation where a sole WD is in the coverage area or where a sole WD is connecting to the corresponding network node 16. Note that although only two WDs 22 and three network nodes 16 are shown for convenience, the communication system may include many more WDs 22 and network nodes 16.
  • a WD 22 can be in simultaneous communication and/or configured to separately communicate with more than one network node 16 and more than one type of network node 16.
  • a WD 22 can have dual connectivity with a network node 16 that supports LTE and the same or a different network node 16 that supports NR.
  • WD 22 can be in communication with an eNB for LTE/E-UTRAN and a gNB for NR/NG-RAN.
  • the communication system 10 may itself be connected to a host computer 24, which may be embodied in the hardware and/or software of a standalone server, a cloud-implemented server, a distributed server or as processing resources in a server farm.
  • the host computer 24 may be under the ownership or control of a service provider, or may be operated by the service provider or on behalf of the service provider.
  • the connections 26, 28 between the communication system 10 and the host computer 24 may extend directly from the core network 14 to the host computer 24 or may extend via an optional intermediate network 30.
  • the intermediate network 30 may be one of, or a combination of more than one of, a public, private or hosted network.
  • the intermediate network 30, if any, may be a backbone network or the Internet. In some embodiments, the intermediate network 30 may comprise two or more sub-networks (not shown).
  • the communication system of FIG. 1 as a whole enables connectivity between one of the connected WDs 22a, 22b and the host computer 24.
  • the connectivity may be described as an over-the-top (OTT) connection.
  • OTT over-the-top
  • the host computer 24 and the connected WDs 22a, 22b are configured to communicate data and/or signaling via the OTT connection, using the access network 12, the core network 14, any intermediate network 30 and possible further infrastructure (not shown) as intermediaries.
  • the OTT connection may be transparent in the sense that at least some of the participating communication devices through which the OTT connection passes are unaware of routing of uplink and downlink communications.
  • a network node 16 may not or need not be informed about the past routing of an incoming downlink communication with data originating from a host computer 24 to be forwarded (e.g., handed over) to a connected WD 22a.
  • the network node 16 need not be aware of the future routing of an outgoing uplink communication originating from the WD 22a towards the host computer 24.
  • a network node 16 is configured to include a precoder 32 which is configured to include WD pairs having a distance metric less than a first threshold in a first group for non-orthogonal multiple access, NOMA and apply a NOMA precoder to transmissions to WDs in the first group.
  • a host computer 24 comprises hardware (HW) 38 including a communication interface 40 configured to set up and maintain a wired or wireless connection with an interface of a different communication device of the communication system 10.
  • the host computer 24 further comprises processing circuitry 42, which may have storage and/or processing capabilities.
  • the processing circuitry 42 may include a processor 44 and memory 46.
  • the processing circuitry 42 may comprise integrated circuitry for processing and/or control, e.g., one or more processors and/or processor cores and/or FPGAs (Field Programmable Gate Array) and/or ASICs (Application Specific Integrated Circuitry) adapted to execute instructions.
  • processors and/or processor cores and/or FPGAs Field Programmable Gate Array
  • ASICs Application Specific Integrated Circuitry
  • the processor 44 may be configured to access (e.g., write to and/or read from) memory 46, which may comprise any kind of volatile and/or nonvolatile memory, e.g., cache and/or buffer memory and/or RAM (Random Access Memory) and/or ROM (Read- Only Memory) and/or optical memory and/or EPROM (Erasable Programmable Read-Only Memory).
  • memory 46 may comprise any kind of volatile and/or nonvolatile memory, e.g., cache and/or buffer memory and/or RAM (Random Access Memory) and/or ROM (Read- Only Memory) and/or optical memory and/or EPROM (Erasable Programmable Read-Only Memory).
  • Processing circuitry 42 may be configured to control any of the methods and/or processes described herein and/or to cause such methods, and/or processes to be performed, e.g., by host computer 24.
  • Processor 44 corresponds to one or more processors 44 for performing host computer 24 functions described herein.
  • the host computer 24 includes memory 46 that is configured to store data, programmatic software code and/or other information described herein.
  • the software 48 and/or the host application 50 may include instructions that, when executed by the processor 44 and/or processing circuitry 42, causes the processor 44 and/or processing circuitry 42 to perform the processes described herein with respect to host computer 24.
  • the instructions may be software associated with the host computer 24.
  • the software 48 may be executable by the processing circuitry 42.
  • the software 48 includes a host application 50.
  • the host application 50 may be operable to provide a service to a remote user, such as a WD 22 connecting via an OTT connection 52 terminating at the WD 22 and the host computer 24.
  • the host application 50 may provide user data which is transmitted using the OTT connection 52.
  • the “user data” may be data and information described herein as implementing the described functionality.
  • the host computer 24 may be configured for providing control and functionality to a service provider and may be operated by the service provider or on behalf of the service provider.
  • the processing circuitry 42 of the host computer 24 may enable the host computer 24 to observe, monitor, control, transmit to and/or receive from the network node 16 and or the wireless device 22.
  • the communication system 10 further includes a network node 16 provided in a communication system 10 and including hardware 58 enabling it to communicate with the host computer 24 and with the WD 22.
  • the hardware 58 may include a communication interface 60 for setting up and maintaining a wired or wireless connection with an interface of a different communication device of the communication system 10, as well as a radio interface 62 for setting up and maintaining at least a wireless connection 64 with a WD 22 located in a coverage area 18 served by the network node 16.
  • the radio interface 62 may be formed as or may include, for example, one or more RF transmitters, one or more RF receivers, and/or one or more RF transceivers.
  • the communication interface 60 may be configured to facilitate a connection 66 to the host computer 24.
  • the connection 66 may be direct or it may pass through a core network 14 of the communication system 10 and/or through one or more intermediate networks 30 outside the communication system 10.
  • the hardware 58 of the network node 16 further includes processing circuitry 68.
  • the processing circuitry 68 may include a processor 70 and a memory 72.
  • the processing circuitry 68 may comprise integrated circuitry for processing and/or control, e.g., one or more processors and/or processor cores and/or FPGAs (Field Programmable Gate Array) and/or ASICs (Application Specific Integrated Circuitry) adapted to execute instructions.
  • FPGAs Field Programmable Gate Array
  • ASICs Application Specific Integrated Circuitry
  • the processor 70 may be configured to access (e.g., write to and/or read from) the memory 72, which may comprise any kind of volatile and/or nonvolatile memory, e.g., cache and/or buffer memory and/or RAM (Random Access Memory) and/or ROM (Read-Only Memory) and/or optical memory and/or EPROM (Erasable Programmable Read-Only Memory).
  • the network node 16 further has software 74 stored internally in, for example, memory 72, or stored in external memory (e.g., database, storage array, network storage device, etc.) accessible by the network node 16 via an external connection.
  • the software 74 may be executable by the processing circuitry 68.
  • the processing circuitry 68 may be configured to control any of the methods and/or processes described herein and/or to cause such methods, and/or processes to be performed, e.g., by network node 16.
  • Processor 70 corresponds to one or more processors 70 for performing network node 16 functions described herein.
  • the memory 72 is configured to store data, programmatic software code and/or other information described herein.
  • the software 74 may include instructions that, when executed by the processor 70 and/or processing circuitry 68, causes the processor 70 and/or processing circuitry 68 to perform the processes described herein with respect to network node 16.
  • processing circuitry 68 of the network node 16 may include a precoder 32 which is configured to include WD pairs having a distance metric less than a first threshold in a first group for non- orthogonal multiple access, NOMA and apply a NOMA precoder to transmissions to WDs in the first group
  • the communication system 10 further includes the WD 22 already referred to.
  • the WD 22 may have hardware 80 that may include a radio interface 82 configured to set up and maintain a wireless connection 64 with a network node 16 serving a coverage area 18 in which the WD 22 is currently located.
  • the radio interface 82 may be formed as or may include, for example, one or more RF transmitters, one or more RF receivers, and/or one or more RF transceivers.
  • the hardware 80 of the WD 22 further includes processing circuitry 84.
  • the processing circuitry 84 may include a processor 86 and memory 88.
  • the processing circuitry 84 may comprise integrated circuitry for processing and/or control, e.g., one or more processors and/or processor cores and/or FPGAs (Field Programmable Gate Array) and/or ASICs (Application Specific Integrated Circuitry) adapted to execute instructions.
  • the processor 86 may be configured to access (e.g., write to and/or read from) memory 88, which may comprise any kind of volatile and/or nonvolatile memory, e.g., cache and/or buffer memory and/or RAM (Random Access Memory) and/or ROM (Read-Only Memory) and/or optical memory and/or EPROM (Erasable Programmable Read-Only Memory).
  • memory 88 may comprise any kind of volatile and/or nonvolatile memory, e.g., cache and/or buffer memory and/or RAM (Random Access Memory) and/or ROM (Read-Only Memory) and/or optical memory and/or EPROM (Erasable Programmable Read-Only Memory).
  • the WD 22 may further comprise software 90, which is stored in, for example, memory 88 at the WD 22, or stored in external memory (e.g., database, storage array, network storage device, etc.) accessible by the WD 22.
  • the software 90 may be executable by the processing circuitry 84.
  • the client application 92 may be operable to provide a service to a human or non-human user via the WD 22, with the support of the host computer 24.
  • an executing host application 50 may communicate with the executing client application 92 via the OTT connection 52 terminating at the WD 22 and the host computer 24.
  • the client application 92 may receive request data from the host application 50 and provide user data in response to the request data.
  • the OTT connection 52 may transfer both the request data and the user data.
  • the client application 92 may interact with the user to generate the user data that it provides.
  • the processing circuitry 84 may be configured to control any of the methods and/or processes described herein and/or to cause such methods, and/or processes to be performed, e.g., by WD 22.
  • the processor 86 corresponds to one or more processors 86 for performing WD 22 functions described herein.
  • the WD 22 includes memory 88 that is configured to store data, programmatic software code and/or other information described herein.
  • the software 90 and/or the client application 92 may include instructions that, when executed by the processor 86 and/or processing circuitry 84, causes the processor 86 and/or processing circuitry 84 to perform the processes described herein with respect to WD 22.
  • the inner workings of the network node 16, WD 22, and host computer 24 may be as shown in FIG. 2 and independently, the surrounding network topology may be that of FIG. 1.
  • the OTT connection 52 has been drawn abstractly to illustrate the communication between the host computer 24 and the wireless device 22 via the network node 16, without explicit reference to any intermediary devices and the precise routing of messages via these devices.
  • Network infrastructure may determine the routing, which it may be configured to hide from the WD 22 or from the service provider operating the host computer 24, or both. While the OTT connection 52 is active, the network infrastructure may further take decisions by which it dynamically changes the routing (e.g., on the basis of load balancing consideration or reconfiguration of the network).
  • the wireless connection 64 between the WD 22 and the network node 16 is in accordance with the teachings of the embodiments described throughout this disclosure.
  • One or more of the various embodiments improve the performance of OTT services provided to the WD 22 using the OTT connection 52, in which the wireless connection 64 may form the last segment. More precisely, the teachings of some of these embodiments may improve the data rate, latency, and/or power consumption and thereby provide benefits such as reduced user waiting time, relaxed restriction on file size, better responsiveness, extended battery lifetime, etc.
  • a measurement procedure may be provided for the purpose of monitoring data rate, latency and other factors on which the one or more embodiments improve.
  • the measurement procedure and/or the network functionality for reconfiguring the OTT connection 52 may be implemented in the software 48 of the host computer 24 or in the software 90 of the WD 22, or both.
  • sensors (not shown) may be deployed in or in association with communication devices through which the OTT connection 52 passes; the sensors may participate in the measurement procedure by supplying values of the monitored quantities exemplified above, or supplying values of other physical quantities from which software 48, 90 may compute or estimate the monitored quantities.
  • the reconfiguring of the OTT connection 52 may include message format, retransmission settings, preferred routing etc.; the reconfiguring need not affect the network node 16, and it may be unknown or imperceptible to the network node 16. Some such procedures and functionalities may be known and practiced in the art.
  • measurements may involve proprietary WD signaling facilitating the host computer’s 24 measurements of throughput, propagation times, latency and the like.
  • the measurements may be implemented in that the software 48, 90 causes messages to be transmitted, in particular empty or ‘dummy’ messages, using the OTT connection 52 while it monitors propagation times, errors, etc.
  • the host computer 24 includes processing circuitry 42 configured to provide user data and a communication interface 40 that is configured to forward the user data to a cellular network for transmission to the WD 22.
  • the cellular network also includes the network node 16 with a radio interface 62.
  • the network node 16 is configured to, and/or the network node’s 16 processing circuitry 68 is configured to perform the functions and/or methods described herein for preparing/initiating/maintaining/supporting/ending a transmission to the WD 22, and/or preparing/terminating/maintaining/supporting/ending in receipt of a transmission from the WD 22.
  • the host computer 24 includes processing circuitry 42 and a communication interface 40 that is configured to a communication interface 40 configured to receive user data originating from a transmission from a WD 22 to a network node 16.
  • the WD 22 is configured to, and/or comprises a radio interface 82 and/or processing circuitry 84 configured to perform the functions and/or methods described herein for preparing/initiating/maintaining/supporting/ending a transmission to the network node 16, and/or preparing/terminating/maintaining/supporting/ending in receipt of a transmission from the network node 16.
  • FIG. 3 is a flowchart illustrating an example method implemented in a communication system, such as, for example, the communication system of FIGS. 1 and 2, in accordance with one embodiment.
  • the communication system may include a host computer 24, a network node 16 and a WD 22, which may be those described with reference to FIG. 2.
  • the host computer 24 provides user data (Block S100).
  • the host computer 24 provides the user data by executing a host application, such as, for example, the host application 50 (Block S102).
  • a host application such as, for example, the host application 50
  • the host computer 24 initiates a transmission carrying the user data to the WD 22 (Block S104).
  • the network node 16 transmits to the WD 22 the user data which was carried in the transmission that the host computer 24 initiated, in accordance with the teachings of the embodiments described throughout this disclosure (Block S106).
  • the WD 22 executes a client application, such as, for example, the client application 92, associated with the host application 50 executed by the host computer 24 (Block S108).
  • the communication system may include a host computer 24, a network node 16 and a WD 22, which may be those described with reference to FIGS. 1 and 2.
  • the host computer 24 provides user data (Block S110).
  • the host computer 24 provides the user data by executing a host application, such as, for example, the host application 50.
  • the host computer 24 initiates a transmission carrying the user data to the WD 22 (Block S112). The transmission may pass via the network node 16, in accordance with the teachings of the embodiments described throughout this disclosure.
  • FIG. 5 is a flowchart illustrating an example method implemented in a communication system, such as, for example, the communication system of FIG. 1, in accordance with one embodiment.
  • the communication system may include a host computer 24, a network node 16 and a WD 22, which may be those described with reference to FIGS. 1 and 2.
  • the WD 22 receives input data provided by the host computer 24 (Block S116).
  • the WD 22 executes the client application 92, which provides the user data in reaction to the received input data provided by the host computer 24 (Block S118).
  • the WD 22 provides user data (Block S120).
  • the WD provides the user data by executing a client application, such as, for example, client application 92 (Block S122).
  • the executed client application 92 may further consider user input received from the user.
  • the WD 22 may initiate, in an optional third substep, transmission of the user data to the host computer 24 (Block S124).
  • the host computer 24 receives the user data transmitted from the WD 22, in accordance with the teachings of the embodiments described throughout this disclosure (Block S126).
  • FIG. 6 is a flowchart illustrating an example method implemented in a communication system, such as, for example, the communication system of FIG. 1, in accordance with one embodiment.
  • the communication system may include a host computer 24, a network node 16 and a WD 22, which may be those described with reference to FIGS. 1 and 2.
  • the network node 16 receives user data from the WD 22 (Block S128).
  • the network node 16 initiates transmission of the received user data to the host computer 24 (Block S130).
  • the host computer 24 receives the user data carried in the transmission initiated by the network node 16 (Block S132).
  • FIG. 7 is a flowchart of an example process in a network node 16 for enhanced multi-user multiple input multiple output (MU-MIMO) using dynamic orthogonal multiple access/non-orthogonal multiple access (OMA-NOMA) based coscheduling and switching.
  • MU-MIMO multi-user multiple input multiple output
  • OMA-NOMA dynamic orthogonal multiple access/non-orthogonal multiple access
  • One or more blocks described herein may be performed by one or more elements of network node 16 such as by one or more of processing circuitry 68 (including the precoder 32), processor 70, radio interface 62 and/or communication interface 60.
  • Network node 16 such as via processing circuitry 68 and/or processor 70 and/or radio interface 62 and/or communication interface 60 is configured to determine a distance metric for each of a plurality of pairs of WDs 22, the distance metric being based at least in part on a channel between each WD 22 of a pair of WDs 22 and the network node (Block S134).
  • the process also includes including WD pairs having a distance metric less than a first threshold in a first group for non-orthogonal multiple access, NOMA and apply a NOMA precoder to transmissions to WDs 22 in the first group (Block S136).
  • the method also includes including WDs 22 having a distance metric greater than a second threshold in a second group for multiple user multiple input multiple output, MU-MIMO, access and apply an MU-MIMO precoder to transmissions to WDs 22 in the second group.
  • the method includes including WDs 22 having distance metric less than the second threshold but greater than the first threshold in a third group for single user MIMO, SU-MIMO, access and apply an SU-MIMO precoder to transmissions to WDs 22 in the third group.
  • the method includes prioritizing scheduling of WDs 22 in the first group over scheduling of WDs 22 in the second group.
  • the NOMA precoder is determined based at least in part on L selected singular vectors of a composite channel matrix of channel matrices of WDs 22 in the first group. In some embodiments, the NOMA precoder is determined based at least in part on determining a set of L strongest beams separated by at least a specified phase angle. In some embodiments, each distance metric is a first function of a first product of a channel matrix of a first WD 22 and a weight matrix X and is a second function of a second product of a channel matrix of a second WD 22 and the weight matrix X, where X has a dimension chosen to select a column space corresponding to selected beams.
  • a WD 22 is included in the first group only when the WD 22 has an interference mitigation capability for at least as many interfering signals as WDs 22 included in the first group.
  • the method also includes including additional WDs 22 in the first group until an interference mitigation capability of a WD 22 in the first group is exceeded.
  • the MU-MIMO precoder is determined based at least in part on a concatenation of channel matrices.
  • ⁇ WDs 22 being served by a base station (hereafter referred to as a network node 16) with ⁇ transmit and ⁇ receive antennas.
  • the network node 16 may prefer to perform either a single-user MIMO transmission, or can transmit to multiple different WDs 22 simultaneously.
  • the transmitted signal can be expressed as where ⁇ , ⁇ denotes the power and precoder for WD- ⁇ , respectively.
  • the transmit signal ⁇ contains signals for ⁇ users, e.g., K WDs 22.
  • ⁇ optimization of the generating terms, power scale ⁇ , and precoder ⁇ to maximize the decodability of ⁇ at WD- ⁇ may be implemented in some embodiments.
  • the composite channel can be employed to determine suitable precoding. If certain channel orthogonality conditions are satisfied, spatially orthogonal MU-MIMO transmission can be performed, requiring zero-forcing type minimum mean squared error (MMSE) precoders.
  • MMSE minimum mean squared error
  • a typical MU-MIMO transmission is given by where the precoder may be obtained from: I f orthogonality is not available or achievable among the channels of " ⁇ , ... , power-domain separability via non-orthogonal multiple access methods (NOMA) may be employed, in which case: where ⁇ 89:; represents a common precoder allowing for power-domain separability.
  • NOMA non-orthogonal multiple access methods
  • Example MIMO Scheme Enabling multi-user MIMO transmissions may rely on a strong dependency between the scheduler, the WDs’ 22 spatial orientation and channel statistics (e.g., correlations).
  • Forcing the scheduler to perform scheduled WD 22 selection subject to multi-user transmission may be overwhelming and may result in degraded quality of service (QoS) performance due to incorrect WD 22 prioritization.
  • QoS quality of service
  • an independent scheduler could co-schedule multiple WDs 22 on the same resources, but without proper WD 22 pairing and precoding, the resulting transmissions may experience dramatic performance degradation, rendering the MIMO system back to single-user transmissions.
  • a channel-and-user aware MIMO selection scheme is disclosed.
  • a given frequency resource can be used to perform the best scheme out of three different MIMO transmission schemes: 1) SU-MIMO precoding, 2) Orthogonal MU-MIMO precoding, and 3) Non-orthogonal MIMO precoding.
  • CSI-RS downlink reference signal
  • ⁇ > can be selected from spatial discrete Fourier transform (DFT) matrix columns to sample the space at certain directions, or ⁇ > can be selected out of dominant singular vectors from within the underlying WD’s channel matrices.
  • various distance metrics may be employed: Chordal distance, geodesic distance, Euclidean distance, mutual information based distance metrics, covariance matrix based distance, and angle of departure (angular location info). Metrics between subspaces of different dimensions are also employed as needed. Also of interest are the distance metrics that are related to packing problems in the Grassmannian manifolds.
  • An objective of a distance metric may therefore include a good scoring method to mark spacing between column spaces of the channel matrices associated with co-schedulable WD 22 candidates.
  • a distance matrix can be obtained for candidate WDs 22.
  • For ⁇ 7 ⁇ ⁇ active WD-s, e.g., the ⁇ 7 highest priority WDs 22, then ⁇ 7 ⁇ ⁇ 7 symmetric distance matrix: G [@A,B]
  • the scheduler can select up to ⁇ ⁇ ⁇ 7 WDs 22 out of ⁇ 7 WDs 22 for the transmission, where the WD 22 selection amounts to determining a ⁇ ⁇ ⁇ submatrix of G, denoted as G J ⁇ > .
  • NOMA WD 22 groups may be include pairs of WD 22 that satisfy minimum-distance criteria. For example, for all WD-pairs in a unique NOMA group, the distance metric that satisfies m A,a Bx @AB ⁇ NOP,QRST may be applied. If a WD 22 does not satisfy this criteria, the WD 22 is not included in any NOMA group.
  • Each NOMA group may contain at most as many WDs 22 as the minimum number of WDs 22 that each WD 22 in the NOMA group can cancel as interferers from within the group.
  • Each NOMA group can be treated as a composite WD 22 (sharing the same precoder), but when creating MU- MIMO tuples, the co-scheduled WDs 22 may have pair-wise distance metrics such that @ A,B > N OP,SUSVSR for WD-W among MU-MIMO WDs 22 and all WDs 22 within the NOMA group.
  • a MU-MIMO transmission may create only a limited inter- layer interference to all MU WDs 22 regardless of their being part of any NOMA group. For comparison, FIG.
  • FIG. 8 illustrates a mapping of resources into beams according to a known MIMO principles, showing a possibly inefficient allocation of resources between beams.
  • FIG. 9 illustrates a mapping of resources among beams combined with NOMA.
  • FIG. 10 provides one example of a distance matrix, G J ⁇ > , resulting in the WD 22 MIMO selection scheme shown in FIG. 11. Two NOMA groups with 2 WDs 22 in each group may be co-scheduled with MU-MIMO access for a subset of WDs 22 (WDs 0 through 6), while 4 WDs 22 can be co-scheduled with NOMA.
  • the WD-7 turns out to be within proximity of NOMA-1 and NOMA-2 WDs 22, as well as WD-4, but separable enough from WD-5 and WD-6.
  • WD-8 is only separable when co-scheduled with WD-6.
  • higher spatial multiplexing gains are achievable with the proposed scheme.
  • Example: NOMA/MU grouping method A non-trivial WD 22 classification approach may be employed in some embodiments. The above design criteria can be achieved by variations of the method described here.
  • the network node 16 via processing circuitry 68, may first sort upper triangular entries of the distance matrix according to ascending order and obtain the tuples for which @ A,B ⁇ N Z[,6&'7 . Assume those entries correspond to first ⁇ entries. It is possible that a WD 22 may have a distance metric satisfying the first pairwise threshold limit N Z[,6&'7 with more than one WD 22. In such cases, the tuples with the smallest distance are collapsed to each other first.
  • new tuples may be created, or an existing tuple may be expanded with a new WD 22.
  • the tuple might be expanded only if all members of tuple already having ] WDs 22 have successful interference capabilities with at least ] + 1 interfering signals. If a WD 22 does not satisfy the successful interference cancellation, may be excluded from any NOMA group.
  • NOMA groups are created, WDs 22 that have larger pairwise distances, e.g., @A,B ⁇ NZ[,' ⁇ 'A'& are determined where the index j may correspond to a single WD 22 or multiples WDs 22 within a NOMA group.
  • Any other WDs 22, e.g., distance metric with N Z[.6&'7 ⁇ @ A,B ⁇ N Z[,' ⁇ 'A'& , may be scheduled on a SU-MIMO fashion.
  • the scheduler may allocate bandwidth (BW) according to underlying fairness criteria for all scheduled WDs 22.
  • Precoder Design with Dynamic NOMA/MU-MIMO Transmission A NOMA precoder can be designed using the above-described grouping operation or be followed by the MU-MIMO co-scheduling step. After the MU-MIMO scheduling step, the NOMA precoder can also be adjusted to further reduce the inter- layer interference among NOMA and MU-MIMO WDs 22.
  • mD where h n C ⁇ D denotes the beam-synthesis from columns n [0 ⁇ , ... .
  • Beam-synthesis may be designed such that the gains towards main lobes have a desired value to optimize the separability in the power or code domain.
  • FIG. 12 is a block diagram of one example of a NOMA-MU based transmission system according to principles disclosed herein.
  • a scheduler 94 may employ a distance matrix when prioritizing users. In some embodiments, this block is omitted so that WD 22 scheduling can be completely interdependent of WD 22 spatial orientation.
  • a “NOMA Enhancer precoder calculation” block 96 provides the scheduler 94 with more opportunities for NOMA access.
  • Block 96 can pre-process channel state matrices or precoder matrix indicator (PMI) feedback matrices and channel quality indicator (CQI) feedback to determine preliminary precoding matrices.
  • PMI precoder matrix indicator
  • CQI channel quality indicator
  • a NOMA WD 22 subset selection can be performed by a WD 22 group search that exhibits much lower complexity compared to WD 22 pairing over all schedulable users.
  • NOMA groups are created (with or without the NOMA enhancer block)
  • multi-user MIMO WD 22 groups are determined by MU-MIMO WD grouping unit 102 using the distance metric such that the co-scheduled OMA WDs 22 is sufficiently separated from the column space of NOMA group precoders ⁇ 1 89:;,A , and MU-MIMO users.
  • remaining WDs 22 having channel space separation not suitable for NOMA and not sufficient for OMA may be scheduled as SU-MIMO WDs 22 by SU-MIMO WD 22 selection unit 104 on separate time-frequency resources.
  • the scheduler 94 can adjust the bandwidth allocation to each scheduling type based on fairness among the WDs 22.
  • the block “Final precoder calculation” 106 determines the NOMA and MU- MIMO (ZF or MMSE/IRC based precoders), and SU-MIMO precoders.
  • the precoder 32 includes at least one of an sounding reference signal (SRS)/CSI-RS CSI collector 108, which is configured to collect CSI for channel determination.
  • SRS sounding reference signal
  • CSI-RS CSI collector 108 which is configured to collect CSI for channel determination.
  • the precoder 32 may include a modulation digital front end/analog front end (DFE/AFE) 110, which is configured to modulate and transmit data.
  • DFE/AFE modulation digital front end/analog front end
  • the concepts described herein may be embodied as a method, data processing system, computer program product and/or computer storage media storing an executable computer program. Accordingly, the concepts described herein may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects all generally referred to herein as a “circuit” or “module.” Any process, step, action and/or functionality described herein may be performed by, and/or associated to, a corresponding module, which may be implemented in software and/or firmware and/or hardware.
  • the disclosure may take the form of a computer program product on a tangible computer usable storage medium having computer program code embodied in the medium that can be executed by a computer.
  • Any suitable tangible computer readable medium may be utilized including hard disks, CD-ROMs, electronic storage devices, optical storage devices, or magnetic storage devices.
  • These computer program instructions may be provided to a processor of a general purpose computer (to thereby create a special purpose computer), special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
  • These computer program instructions may also be stored in a computer readable memory or storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
  • the computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. It is to be understood that the functions/acts noted in the blocks may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
  • Computer program code for carrying out operations of the concepts described herein may be written in an object oriented programming language such as Python, Java® or C++. However, the computer program code for carrying out operations of the disclosure may also be written in conventional procedural programming languages, such as the "C" programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer.
  • the remote computer may be connected to the user's computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
  • LAN local area network
  • WAN wide area network
  • Internet Service Provider an Internet Service Provider

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Sont divulgués un procédé, un système et un appareil pour une entrée multiple et une sortie multiple multi-utilisateurs (MU-MIMO) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (OMA-NOMA) dynamique. Selon un aspect, un procédé dans un nœud de réseau consiste à déterminer une métrique de distance pour chacune d'une pluralité de paires de dispositifs sans fil (WD), la métrique de distance étant basée au moins en partie sur un canal entre chaque WD d'une paire de WD et le nœud de réseau. Le procédé comprend également l'inclusion de paires WD ayant une métrique de distance inférieure à un premier seuil dans un premier groupe pour NOMA et l'application d'un précodeur NOMA à des transmissions vers des WD dans le premier groupe.
PCT/IB2022/057384 2022-08-08 2022-08-08 Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique WO2024033676A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/IB2022/057384 WO2024033676A1 (fr) 2022-08-08 2022-08-08 Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2022/057384 WO2024033676A1 (fr) 2022-08-08 2022-08-08 Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique

Publications (1)

Publication Number Publication Date
WO2024033676A1 true WO2024033676A1 (fr) 2024-02-15

Family

ID=83006001

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2022/057384 WO2024033676A1 (fr) 2022-08-08 2022-08-08 Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique

Country Status (1)

Country Link
WO (1) WO2024033676A1 (fr)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110032839A1 (en) * 2009-08-07 2011-02-10 Runhua Chen Multiple Rank CQI Feedback for Cellular Networks
US20180375551A1 (en) * 2015-12-22 2018-12-27 China Academy Of Telecomunications Technology Method and device for determining multi-user transmission mode

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110032839A1 (en) * 2009-08-07 2011-02-10 Runhua Chen Multiple Rank CQI Feedback for Cellular Networks
US20180375551A1 (en) * 2015-12-22 2018-12-27 China Academy Of Telecomunications Technology Method and device for determining multi-user transmission mode

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ZHOU YONG ET AL: "Coverage and Rate Analysis of Millimeter Wave NOMA Networks With Beam Misalignment", IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, vol. 17, no. 12, 1 December 2018 (2018-12-01), pages 8211 - 8227, XP011699607, ISSN: 1536-1276, [retrieved on 20181207], DOI: 10.1109/TWC.2018.2874995 *

Similar Documents

Publication Publication Date Title
US11451274B2 (en) Adaptive downlink multi user multiple input multiple output (MU-MIMO)precoding using uplink signal subspace tracking for active antenna systems AAS
US11438121B2 (en) Sounding reference signal power control in new radio
CA3103256C (fr) Priorite de selection de faisceau
US12047883B2 (en) Restricting sounding reference signal (SRS) power control configurations
US11223412B2 (en) Radio node and methods in a wireless communications network
US11956034B2 (en) Coefficient solution for low peak-to-average power ratio (PAPR) precoders
US20230012573A1 (en) Network node and method performed in a wireless communication network for pre-coder optimization
WO2024033676A1 (fr) Entrée multiple et sortie multiple multi-utilisateurs (mu-mimo) améliorées à l'aide d'une co-planification et d'une commutation à accès multiple orthogonal, non orthogonal (oma-noma) dynamique
WO2021053370A1 (fr) Transmission mu-mimo assistée à distance d'un pmi (pmid)
US20230087742A1 (en) Beamforming technique using approximate channel decomposition
US11936448B2 (en) Projection matrix based MU-MIMO precoding
US20240022291A1 (en) Channel state variation estimation and sinr penalty computation for mu-mimo pairing
US20240014872A1 (en) Dual codebook configuration and csi combining for large scale active antenna systems
US20230223995A1 (en) Low-rank beamformer from multi-layer precoder feedback
WO2024013544A1 (fr) Antibrouillage assisté par réciprocité par formation de faisceaux propre
WO2023209682A1 (fr) Adaptation de puissance et virtualisation pour une transmission à ressources multiples
WO2022269311A1 (fr) Commutation de précodage en liaison descendante basée sur des estimations de variation de canal
EP4396955A1 (fr) Structure pour transmission simultanée de liaison montante multi-panneau
WO2023209418A1 (fr) Transmission de liaison descendante de rang élevé sur la base d'un rapport de csi de type ii de nr version 15
EP4133614A1 (fr) Formation de faisceau mu-mimo à force nulle basée sur un livre de codes

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22758027

Country of ref document: EP

Kind code of ref document: A1