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公开(公告)号：US20230413076A1
公开(公告)日：2023-12-21
申请号：US17841445
申请日：2022-06-15
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU , Paramvir BAHL , Arjun Varman BALASINGAM
IPC: H04W24/08 , H04L43/0888 , H04B17/336 , H04B17/391
CPC classification number: H04W24/08 , H04L43/0888 , H04B17/336 , H04B17/3913
Abstract: Described are examples for calculating and exposing network capacity and congestion to applications. A network entity such as a radio access network (RAN) intelligent controller (RIC) or virtual base station component receives measurements of a signal quality for a plurality of user devices connected to a RAN. The network entity estimates a deliverable throughput of a wireless link for a user device of the plurality of user devices based on at least the measurements. The network entity can consider other factors such as a number of competing users, queue sizes of the user device and of the competing users, or a scheduling policy. The network entity provides the deliverable throughput to an application server for an application of the user device communicating with the application server via the RAN. The application server can adapt a data rate for the application and the user device based on the deliverable throughput.
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公开(公告)号：US20220412923A1
公开(公告)日：2022-12-29
申请号：US17362756
申请日：2021-06-29
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor： Deepak VASISHT , Ranveer CHANDRA , Manikanta KOTARU , Nissanka Arachchige Bodhi PRIYANTHA , Akshay Sanjay GADRE , Nikunj RAGHUVANSHI
Abstract: Methods, systems, and computer storage media for providing an indication of an integrity of an object based on a non-invasive assessment of the integrity of the object using acoustic signature management engine in object integrity sensing system. In operation, an aggregate object-intermediate-medium sound of an object in an intermediate medium is detected (e.g., via sensors). An acoustic signature of the aggregate object-intermediate-medium sound is generated as a processed acoustic channel associated with statistical measurements. A reference acoustic signature of the object and intermediate medium is accessed. The reference acoustic signature is associated with an acoustic signature computation model, that generates reference acoustic signatures based on a mean and standard deviation measurements of input signals transmitted through the object and intermediate medium. A determination whether the object has impaired integrity is determined based on a quantified difference between the acoustic signature of the aggregate object-intermediate-medium sound and the reference acoustic signature.
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公开(公告)号：US20240414562A1
公开(公告)日：2024-12-12
申请号：US18208718
申请日：2023-06-12
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU
IPC: H04W24/02
Abstract: Systems and methods are provided for determining a set of control parameter data associated with a base station of a 5G multi-access edge computing and core network. In particular, the disclosed technology is directed to use a deep reinforcement-based learning (DRL) model to iteratively reinforce and improve the set of control parameter data at the base station. The DRL model determines the set of control parameter data as action based on a current set of network state data as state, according a set of target conditions used as rewards. A DRL server periodically receives network state data from the base station through a radio access network intelligent controller (RIC). Given the network state data, the DRL model determines control parameter data as output. The DRL server transmits the control parameter data to the base station via RIC. The periodic reinforcement-based learning dynamically improves a network performance of the base station.
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公开(公告)号：US20220386171A1
公开(公告)日：2022-12-01
申请号：US17334577
申请日：2021-05-28
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU , Arjun Varman BALASINGAM , Paramvir BAHL
Abstract: Aspects of the present disclosure relate to allocating RAN resources among RAN slices using a machine learning model. In examples, the machine learning model may determine an optimal RAN resource configuration based on compute power needs. As a result, RAN resource allocation generation and compute power requirements may improve, even in instances with changing or unknown network conditions. In examples, a prediction engine may receive communication parameters and/or requirements associated with service-level agreements (SLAs) for applications executing at least partially at a device in communication with the RAN. The RAN may generate one or more RAN resource configuration for implementation among RAN slices. Upon a change in network conditions or SLA requirements, an optimal RAN configuration may be determined in terms of required compute power.
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公开(公告)号：US20220385577A1
公开(公告)日：2022-12-01
申请号：US17331782
申请日：2021-05-27
Applicant: Microsoft Technology Licensing, LLC
Inventor： Daehyeok KIM , Ilias MARINOS , Anuj KALIA , Manikanta KOTARU
IPC: H04L12/801 , H04L29/06 , H04L12/46 , H04L12/835 , H04W24/04 , H04W28/02
Abstract: Aspects of the present disclosure relate to allocating workloads to vRANs via programmable switches at far-edge cloud datacenters. Traditionally, traffic allocation is handled by dedicated servers running load-balancing software. However, rerouting RAN traffic to such servers increases both energy and capital costs, degrades end-to-end performance, and requires additional physical space, all of which are undesirable or even infeasible for a RAN far-edge datacenter. Since switches are located in the path of data traffic, workflow policies can be designed to inspect packet headers of incoming traffic, evaluate real-time network information, determine available vRAN instances, and update the packet headers to steer the incoming traffic for processing. As network conditions change, the workflow policies enable the switch to dynamically redirect workloads to alternative vRANs for processing. As a result, RAN processing efficiency and fault tolerance are improved—even with changing network conditions and spikes in data traffic.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20240419698A1
公开(公告)日：2024-12-19
申请号：US18335787
申请日：2023-06-15
Applicant: Microsoft Technology Licensing, LLC
Inventor： Ganesh ANANTHANARAYANAN , Manikanta KOTARU , Paramvir BAHL
IPC: G06F16/332 , G06F16/335
Abstract: A context analysis system receives a query from a user. The context analysis system generates one or multiple context profiles and generates a prompt for a foundation model for each of the context profiles. The context analysis system analyzes each of the context profiles and generates a relevancy score. The context analysis system selects one of the context profiles based on the relevancy score. In some examples, the context analysis system iteratively determines predicted latencies and relevancies of processing a query in conjunction with a generated context and, based on the predicted latencies and/or relevancies, processes the query using a foundation model, such as a large language model (LLM).
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7.发明公开公开(公告)号：US20240330589A1
公开(公告)日：2024-10-03
申请号：US18326666
申请日：2023-05-31
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU
IPC: G06F40/284 , G06F40/205 , H04W24/02
CPC classification number: G06F40/284 , G06F40/205 , H04W24/02
Abstract: Existing approaches to understanding, developing, and researching modern wireless communication technologies involve time intensive and arduous processes of sifting through numerous webpages and technical specification documents, gathering the required information and synthesizing it. The present disclosure describes a conversational artificial intelligence tool for information synthesis of wireless communication specifications. The system builds on recent advancements in foundation large language models (LLMs) and consists of three key additional components: a domain-specific database, a context extractor, and a feedback mechanism. The system appends user queries with concise contextual information extracted from a database of wireless technical specifications and incorporates tools for expert feedback and data contribution. On evaluation using a benchmark dataset of expert queries and responses, the system provided more relevant and accurate answers on topics related to modern wireless communication specifications with a BLEU (BiLingual Evaluation Understudy) score of 0.28 compared to 0.03 achieved by current state-of-the-art LLM-based systems.
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公开(公告)号：US20220377751A1
公开(公告)日：2022-11-24
申请号：US17326731
申请日：2021-05-21
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU , Paramvir BAHL , Arjun Varman BALASINGAM
Abstract: In a 5G network, a slice controller operating in a radio access network (RAN) is arranged to make predictions of channel state information (CSI) for user equipment (UE) on the network using a predictive propagation model. The slice controller uses the predicted CSI to schedule subcarriers and time slots associated with physical radio resources for data transmission on slices of the 5G network between a 5G radio unit (RU) and the UE to maximize network throughput on a slice for the radio spectrum that is utilized for a given time period. In view of the CSI predictions, the slice controller controls operations of the MAC (Medium Access Control) layer functions based on PHY (physical) layer radio resource subsets to schedule the subcarrier and time slots for data transmissions on a slice over the 5G air interface from RU to UE.
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公开(公告)号：US20220377650A1
公开(公告)日：2022-11-24
申请号：US17326703
申请日：2021-05-21
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU , Landon Prentice COX , Paramvir BAHL
Abstract: In a 5G network, a profiler component of a network slice controller is arranged to dynamically observe behaviors of pre-defined types of network slices when handling current traffic. The profiler employs the observed behaviors to generate profiles of the pre-defined slice types in terms of throughput, reliability, or other suitable metrics. In response to a request from an application for admission to the 5G network for which an ID of an appropriate pre-defined network slice type is unknown, the application request and traffic is handled on a slice which is temporarily utilized while the profiler dynamically observes application behaviors to generate an application profile. The profiler identifies a pre-defined slice type having a profile that is the closest match to the generated application profile. The application may then be moved from the temporary slice to a slice of the identified pre-defined type so that optimal slice characteristics are provided for the application's traffic.
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公开(公告)号：US20220377597A1
公开(公告)日：2022-11-24
申请号：US17325165
申请日：2021-05-19
Applicant: Microsoft Technology Licensing, LLC
Inventor： Manikanta KOTARU , Paramvir BAHL , Arjun Varman BALASINGAM
Abstract: In a 5G network, a slice controller is arranged to dynamically configure a radio access network (RAN) by allocating physical radio resources into RAN slices by making predictions of channel state information (CSI) for user equipment (UE) executing applications that make connectivity requests for admission to particular identified slices. The slice controller grants or denies admission requests based on the predicted CSI to ensure that applicable service level agreement (SLA) guarantees are satisfied for traffic across all the RAN slices. Each time new admission requests are received from applications, the slice controller determines whether a suitable RAN configuration exists that will enable SLA guarantees for the slices to continue to be satisfied for the current traffic while also meeting the SLA guarantees applicable to the new admission request.
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