ERGODIC SPECTRUM MANAGEMENT SYSTEMS AND METHODS

    公开(公告)号:US20230413071A1

    公开(公告)日:2023-12-21

    申请号:US18217597

    申请日:2023-07-02

    Applicant: ASSIA SPE, LLC

    CPC classification number: H04W24/02 H04W28/16 H04W24/10

    Abstract: Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM' s Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

    ERGODIC SPECTRUM MANAGEMENT SYSTEMS AND METHODS

    公开(公告)号:US20200280863A1

    公开(公告)日:2020-09-03

    申请号:US16804000

    申请日:2020-02-27

    Applicant: ASSIA SPE, LLC

    Abstract: Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM's Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

    Systems and methods for jointly optimizing WAN and LAN network communications

    公开(公告)号:US10757003B2

    公开(公告)日:2020-08-25

    申请号:US16432364

    申请日:2019-06-05

    Applicant: ASSIA SPE, LLC

    Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation module to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.

    SYSTEMS AND METHODS FOR JOINTLY OPTIMIZING WAN AND LAN NETWORK COMMUNICATIONS

    公开(公告)号:US20200344145A1

    公开(公告)日:2020-10-29

    申请号:US16926696

    申请日:2020-07-11

    Applicant: ASSIA SPE, LLC

    Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation nodule to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.

    SYSTEMS AND METHODS FOR JOINTLY OPTIMIZING WAN AND LAN NETWORK COMMUNICATIONS

    公开(公告)号:US20190288932A1

    公开(公告)日:2019-09-19

    申请号:US16432364

    申请日:2019-06-05

    Applicant: ASSIA SPE, LLC

    Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation module to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.

    Ergodic spectrum management systems and methods

    公开(公告)号:US11696155B2

    公开(公告)日:2023-07-04

    申请号:US16804000

    申请日:2020-02-27

    Applicant: ASSIA SPE, LLC

    CPC classification number: H04W24/02 H04W24/10 H04W28/16

    Abstract: Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM's Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

Patent Agency Ranking