公开(公告)号：US12199809B2

公开(公告)日：2025-01-14

申请号：US18511277

申请日：2023-11-16

Applicant: DISH Wireless L.L.C.

Inventor： Kazi Bashir ,  Mehdi Alasti ,  Siddhartha Chenumolu

IPC: H04L41/0226 ,  H04L41/0816 ,  H04W48/18

Abstract: Systems and methods are provided to migrate a set of network functions between control planes of a network slice A and a network slice B; and a migration management unit to manage a gradual staged transfer of a subset of the plurality of network functions originally contained in the control plane of the network slice A to the control plane of network slice B wherein the gradual transfer is a migration of the plurality of network functions in a set of multiple stages to create the subset of the plurality of network functions in the control plane of slice B, wherein each gradual staged transfer includes the migration of a reduced subset of the plurality of network functions contained in the control plane of the network slice A reconfigured to the control plane of the network slice B.

公开(公告)号：US12185093B2

公开(公告)日：2024-12-31

申请号：US18403573

申请日：2024-01-03

Applicant: DISH WIRELESS L.L.C.

Inventor： Mehdi Alasti ,  Kazi Bashir ,  Ash Khamas ,  Ashish Bansal ,  Siddhartha Chenumolu

IPC: H04W28/08 ,  H04W28/084 ,  H04W72/12 ,  H04W72/52

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

公开(公告)号：US20240422808A1

公开(公告)日：2024-12-19

申请号：US18610647

申请日：2024-03-20

Applicant: DISH Wireless L.L.C.

Inventor： Mehdi Alasti ,  Kazi Bashir ,  Siddhartha Chenumolu ,  Marc Rouanne

IPC: H04W72/53 ,  G06Q30/0201

Abstract: Systems and methods are provided for offering tenants the ability to purchase commoditized network resources in a next-generation, large-scale wireless communication network (e.g., a 5G or 6G cellular network) according to dynamic pricing. For example, the network can update pricing of commoditized network resources intelligently and dynamically based on present and/or predicted supply and/or demand of the network resources. The updated pricing is offered to tenants on a periodic or other basis, and the tenants can decide whether to purchase more or less of those resources based on the updated pricing. The network can adjust resource allocations to the tenants based on the updated purchase decisions. The network can also automatically adjust QoS parameters for the tenants to fit within their purchased resource allocations.

公开(公告)号：US20240223996A1

公开(公告)日：2024-07-04

申请号：US18091184

申请日：2022-12-29

Applicant: DISH WIRELESS L.L.C.

Inventor： Mehdi Alasti ,  Kazi Bashir ,  Siddhartha Chenumolu

IPC: H04W4/029 ,  G06F9/54 ,  H04W64/00

CPC classification number: H04W4/029 ,  G06F9/547 ,  H04W64/00

Abstract: A multiple tenant architecture for providing location services in a wireless network. A method or system electronically defines, for each tenant of a plurality of tenants of the wireless network, customization parameters for one or more location services or location services systems. The customization parameters specify attributes or policies of the positioning technology used to locate the User Equipment (UE) devices and attributes or policies of the core network.

公开(公告)号：US20240179576A1

公开(公告)日：2024-05-30

申请号：US18070312

申请日：2022-11-28

Applicant: DISH WIRELESS L.L.C.

Inventor： Kazi Bashir ,  Mehdi Alasti ,  Siddhartha Chenumolu

IPC: H04W28/24 ,  H04W8/18 ,  H04W24/08 ,  H04W28/02

CPC classification number: H04W28/24 ,  H04W8/186 ,  H04W24/08 ,  H04W28/0268 ,  H04W28/0289

Abstract: Embodiments are directed towards systems a system that, in situations of detected heavy network congestion, by upgrading the respective quality of service (QoS) (e.g., aggregate maximum bit rate (AMBR)) provided to the subscriber that requested the increase (e.g., who paid for premium service) by a first amount in response to the request while also downgrading respective QoS attributes (AMBRs) provided to the other subscribers in the group by a collective total of a second amount. The second amount may be equal to the firs amount such that the first subscriber to which the QoS attribute upgrade (e.g., AMBR increase) was provided uses a larger portion of the total maximum bandwidth capacity than at least one of the other subscribers operating at the degraded respective QoS attribute (e.g., decreased AMBR).

公开(公告)号：US20240179489A1

公开(公告)日：2024-05-30

申请号：US18070287

申请日：2022-11-28

Applicant: Dish Wireless L.L.C.

Inventor： Mehdi Alasti ,  Kazi Bashir ,  Jingyi Zhou ,  Siddhartha Chenumolu

IPC: H04W4/02 ,  H04W48/18

CPC classification number: H04W4/02 ,  H04W48/18

Abstract: Example embodiments are directed towards network slicing for multi-tenant location based services in a wireless telecommunication network. For each tenant of the plurality of tenants of the network, the system receives a request from the tenant for location based services for mobile devices of the tenant operating on the respective network slice defined for the tenant. In response to the request, the system provides the customized location based services to the tenant based on the respective network slice being associated with one or more location based services network functions or location based services systems of the wireless telecommunication network, which provide geographical locations of mobile devices operating on the wireless telecommunication network. The location based services network functions or location based services systems may include the location management function (LMF) and the Gateway Mobile Location Centre (GMLC) gateway node.

公开(公告)号：US11950138B2

公开(公告)日：2024-04-02

申请号：US17529128

申请日：2021-11-17

Applicant: DISH Wireless L.L.C.

Inventor： Kazi Bashir ,  Mehdi Alasti ,  Siddhartha Chenumolu

IPC: H04W28/08 ,  H04W28/082

CPC classification number: H04W28/0942 ,  H04W28/082

Abstract: Embodiments are directed towards systems and methods for selecting, in a Fifth Generation (5G) cellular telecommunication network, a User Plane Function (UPF) of a plurality of UPFs on which to anchor a Protocol Data Unit (PDU) session of a new user equipment (UE) newly appearing on the cellular telecommunication network. The selection is based on: a location of the new UE; a plurality of current loads for each UPF of the plurality of UPFs; a predicted UE load of the new UE based on network data analytics; and predicted UPF loads of the plurality of UPFs as a function of time considering the predicted UE load based on network data analytics from the Network Data Analytics Function. In the UPF selection, the Session Management Function (SMF) gives higher priority to shorter term predicted loads than longer term predicted loads. Also, in the UPF selection, the PDU session of the UE is preferred to attach on the UPF in the current serving area in which the UE is located.

公开(公告)号：US11910237B2

公开(公告)日：2024-02-20

申请号：US18093710

申请日：2023-01-05

Applicant: DISH WIRELESS L.L.C.

Inventor： Mehdi Alasti ,  Kazi Bashir ,  Ash Khamas ,  Ashish Bansal ,  Siddhartha Chenumolu

IPC: H04W28/08 ,  H04W72/52

CPC classification number: H04W28/08 ,  H04W72/52

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

公开(公告)号：US20240022891A1

公开(公告)日：2024-01-18

申请号：US18352819

申请日：2023-07-14

Applicant: DISH Wireless L.L.C.

Inventor： Jinsook Ryu ,  Kazi Bashir ,  Mehdi Alasti ,  Siddhartha Chenumolu

IPC: H04W8/00 ,  H04W48/16 ,  H04W72/0453

CPC classification number: H04W8/005 ,  H04W48/16 ,  H04W72/0453

Abstract: Systems, methods, and machine-readable media for obtaining data from a cellular network core are described herein. A request from a network function residing outside of the cellular network core may be received by the cellular network core. The request may correspond to a request for data from the cellular network core. The request may be routed by a network exposure function (NEF) of the cellular network core to a user plane function (UPF) of the cellular network core. UPF data responsive to the request may be determined by the UPF. The UPF data may be transmitted from the UPF to the network function residing outside of the cellular network core

公开(公告)号：US20230066148A1

公开(公告)日：2023-03-02

申请号：US17942326

申请日：2022-09-12

Applicant: DISH WIRELESS L.L.C.

Inventor： Mehdi Alasti ,  Kazi Bashir ,  Ash Khamas ,  Ashish Bansal ,  Siddhartha Chenumolu

IPC: H04W28/08 ,  H04L47/127 ,  H04L47/125 ,  H04L47/215

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.