WO2016028969A1 - Gestion de performance d'un réseau sans fil grâce à des métriques de liaison secondaire - Google Patents

Gestion de performance d'un réseau sans fil grâce à des métriques de liaison secondaire Download PDF

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Publication number
WO2016028969A1
WO2016028969A1 PCT/US2015/046029 US2015046029W WO2016028969A1 WO 2016028969 A1 WO2016028969 A1 WO 2016028969A1 US 2015046029 W US2015046029 W US 2015046029W WO 2016028969 A1 WO2016028969 A1 WO 2016028969A1
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WO
WIPO (PCT)
Prior art keywords
backhaul
small cell
femto node
condition
triggering
Prior art date
Application number
PCT/US2015/046029
Other languages
English (en)
Inventor
Farhad Meshkati
Yeliz Tokgoz
Mehmet Yavuz
Sumeeth Nagaraja
Andrei Dragos Radulescu
Damanjit Singh
Vinay Joseph
Rajat Prakash
Original Assignee
Qualcomm Incorporated
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
Priority claimed from US14/829,915 external-priority patent/US20150358959A1/en
Application filed by Qualcomm Incorporated filed Critical Qualcomm Incorporated
Publication of WO2016028969A1 publication Critical patent/WO2016028969A1/fr

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/04Arrangements for maintaining operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/04Large scale networks; Deep hierarchical networks
    • H04W84/042Public Land Mobile systems, e.g. cellular systems
    • H04W84/045Public Land Mobile systems, e.g. cellular systems using private Base Stations, e.g. femto Base Stations, home Node B

Definitions

  • This disclosure relates generally to telecommunications, and more particularly to femto cell base station management and the like.
  • small cell base stations e.g., femto nodes
  • the deployment of small cell base stations may provide incremental capacity growth, richer user experience, in-building or other specific geographic coverage, and so on.
  • the deployment of small cell base stations may also encroach on the operation of other devices that typically utilize the same space, such as Wireless Local Area Network (WLAN) devices operating in accordance with one of the IEEE 802. l lx communication protocols (so-called "Wi-Fi" devices) or other wired or wireless devices sharing the same Internet connection in a user's residence or office building.
  • WLAN Wireless Local Area Network
  • Wi-Fi Wi-Fi
  • backhaul measurements of base stations may vary in time. This may be due to time-varying backhaul load, availability of different backhauls that a cell can select from, and/or the application of different backhaul management schemes (e.g., traffic allocation), etc.
  • the performance of UE mobility and the configuration action of features addressing such performance may depend on backhaul characteristics, for example, backhaul latency or delay.
  • the present disclosure provides an apparatus for managing performance of a wireless network that may include means for identifying a backhaul condition at a small cell in the wireless network, wherein the backhaul condition is associated with one or more of a backhaul latency measurement, a backhaul error rate, or a backhaul jitter value at the small cell, and means for triggering an action at the small cell in response to identifying the backhaul condition at the small cell, wherein triggering the action at the small cell includes modifying one or more resource management parameters at the small cell based on the backhaul condition.
  • the present disclosure provides an apparatus for managing performance of a wireless network that may include a processor coupled to a memory, the processor configured to identify a backhaul condition at a small cell in the wireless network, wherein the backhaul condition is associated with one or more of a backhaul latency measurement, a backhaul error rate, or a backhaul jitter value at the small cell, and trigger an action at the small cell in response to identifying the backhaul condition at the small cell, wherein triggering the action at the small cell includes modifying one or more resource management parameters at the small cell based on the backhaul condition.
  • FIG. 1 is a block diagram of an example system that facilitates adjusting radio frequency (RF) parameters of a femto node.
  • FIG. 2 is a block diagram of an example system that facilitates comparing capabilities of access points to determine RF parameters for a femto node.
  • RF radio frequency
  • FIG. 4 is a block diagram of an example system that adjusts RF parameters of a femto node.
  • FIG. 6 is an illustration of an example wireless network environment that can be employed in conjunction with the various systems and methods described herein.
  • FIG. 12 is a block diagram illustrating aspects of a logical grouping of electrical components as contemplated by the present disclosure.
  • the low power base station can set RF parameters in an attempt to effectively expand a coverage area of the neighboring access point, and thus cause more devices to be served by the neighboring access point rather than the low power base station.
  • a low power base station can include a femto node, a pico node, micro node, home Node B or home evolved Node B (H(e)NB), relay, and/or other low power base stations, and can be referred to herein using one of these terms, though use of these terms is intended to generally encompass low power base stations.
  • a low power base station is referred to as such because it transmits at a relatively low power as compared to a macro base station associated with a wireless wide area network (WW AN). Accordingly, the coverage area of the low power base station is typically substantially smaller than the coverage area of a macro base station.
  • WW AN wireless wide area network
  • wireless communication systems may additionally include peer-to-peer (e.g. , mobile-to-mobile) ad hoc network systems often using unpaired unlicensed spectrums, 802.xx wireless LAN, BLUETOOTH and any other short- or long- range, wireless communication techniques.
  • peer-to-peer e.g. , mobile-to-mobile
  • femto node 104 can compare multiple measured or otherwise received capabilities of macro node 102 and/or femto node 106 in determining adjustment of its RF parameters.
  • a centralized entity can collect capability information of multiple nodes and accordingly specify RF parameters and/or related adjustments, such as transmission power, resource allocation, frequency spectrum, etc., to the nodes based on capabilities.
  • the nodes can set RF parameters based on the RF parameters or related adjustments received from the centralized entity.
  • femto node 104 can similarly adjust mobility parameters based on the measured capabilities.
  • parameters can be updated by certain events, such as addition of femto nodes to the network, removal of femto nodes from the network, etc.
  • femto node 104 can detect a new femto node nearby (e.g., based on parameters received by the NLM) that provides improved capabilities, and can further decrease transmission power, etc., to allow the new femto node to provide access to some devices in the area.
  • capability determining component 210 can compare the capabilities of the femto node (and/or other access points) with its own capabilities, and parameter adjusting component 212 can adjust RF parameters 220 of femto node 202, such as transmission power, resource allocation, frequency spectrum, etc., to try to maximize the user experience at one or more devices.
  • RF parameter 220 can be used by a transmitter or other component of femto node 202 to communicate in a wireless network.
  • femto node 202 can be a centralized entity, such as a HNB gateway, HMS, etc., that collects or otherwise determines capability information of various femto nodes as described.
  • parameter adjusting component 212 can adjust RF parameters for the various femto nodes and communicate the adjusted RF parameters to the femto nodes.
  • the femto nodes can receive the RF parameters and accordingly adjust RF parameters based on those received.
  • one or more RF parameters can be adjusted based on the comparison, as described.
  • the RF parameter adjustment can be absolute or relative to current values for the one or more RF parameters.
  • the RF parameter can be adjusted at the femto node to effectuate modification of the coverage area.
  • inferences can be made regarding determining capabilities of neighboring access points, determining a corresponding RF parameter adjustment, and/or the like, as described.
  • the term to "infer” or “inference” refers generally to the process of reasoning about or inferring states of the system, environment, and/or user from a set of observations as captured via events and/or data. Inference can be employed to identify a specific context or action, or can generate a probability distribution over states, for example. The inference can be probabilistic - that is, the computation of a probability distribution over states of interest based on a consideration of data and events.
  • Inference can also refer to techniques employed for composing higher-level events from a set of events and/or data. Such inference results in the construction of new events or actions from a set of observed events and/or stored event data, whether or not the events are correlated in close temporal proximity, and whether the events and data come from one or several event and data sources.
  • Each group of antennas and/or the area in which they are designated to communicate can be referred to as a sector of base station 502.
  • antenna groups can be designed to communicate to mobile devices in a sector of the areas covered by base station 502.
  • the transmitting antennas of base station 502 can utilize beamforming to improve signal-to-noise ratio of forward links 518 and 524 for mobile devices 516 and 522.
  • base station 502 utilizes beamforming to transmit to mobile devices 516 and 522 scattered randomly through an associated coverage
  • mobile devices in neighboring cells can be subject to less interference as compared to a base station transmitting through a single antenna to all its mobile devices.
  • FIG. 6 shows an example wireless communication system 600.
  • the wireless communication system 600 depicts one base station 610, which can include a femto node, and one mobile device 650 for sake of brevity.
  • system 600 can include more than one base station and/or more than one mobile device, wherein additional base stations and/or mobile devices can be substantially similar or different from example base station 610 and mobile device 650 described below.
  • traffic data for a number of data streams is provided from a data source 612 to a transmit (TX) data processor 614.
  • TX data processor 614 formats, codes, and interleaves the traffic data stream based on a particular coding scheme selected for that data stream to provide coded data.
  • the modulation symbols for the data streams can be provided to a TX MIMO processor 620, which can further process the modulation symbols (e.g., for OFDM). TX MIMO processor 620 then provides NT modulation symbol streams to NT transmitters (TMTR) 622a through 622t. In various aspects, TX MIMO processor 620 applies beamforming weights to the symbols of the data streams and to the antenna from which the symbol is being transmitted.
  • TX MIMO processor 620 applies beamforming weights to the symbols of the data streams and to the antenna from which the symbol is being transmitted.
  • Each transmitter 622 receives and processes a respective symbol stream to provide one or more analog signals, and further conditions (e.g., amplifies, filters, and upconverts) the analog signals to provide a modulated signal suitable for transmission over the MIMO channel. Further, NT modulated signals from transmitters 622a through 622t are transmitted from NT antennas 624a through 624t, respectively.
  • the reverse link message can comprise various types of information regarding the communication link and/or the received data stream.
  • the reverse link message can be processed by a TX data processor 638, which also receives traffic data for a number of data streams from a data source 636, modulated by a modulator 680, conditioned by transmitters 654a through 654r, and transmitted back to base station 610.
  • Processors 630 and 670 can direct (e.g., control, coordinate, manage, etc.) operation at base station 610 and mobile device 650, respectively. Respective processors 630 and 670 can be associated with memory 632 and 672 that store program codes and data. Processors 630 and 670 can also perform functionalities described herein to support adjusting RF parameters of one or more femto nodes.
  • FIG. 9 illustrates an example of a coverage map 900 where several tracking areas 902 (or routing areas or location areas) are defined, each of which includes several macro coverage areas 904.
  • areas of coverage associated with tracking areas 902 A, 902B, and 902C are delineated by the wide lines and the macro coverage areas 904 (e.g., 904A and 904B) are represented by the hexagons.
  • the tracking areas 902 also include femto coverage areas 906 (e.g., 906A, 906B, and 906C).
  • each of the femto coverage areas 906 (e.g., femto coverage area 906C) is depicted within a macro coverage area 904 (e.g., macro coverage area 904B). It should be appreciated, however, that a femto coverage area 906 may not lie entirely within a macro coverage area 904. In practice, a large number of femto coverage areas 906 can be defined with a given tracking area 902 or macro coverage area 904. Also, one or more pico coverage areas (not shown) can be defined within a given tracking area 902 or macro coverage area 904.
  • the owner of a femto node 810 can subscribe to mobile service, such as, for example, 3G mobile service, offered through the mobile operator core network 850.
  • the femto node 810 can be operated by the mobile operator core network 850 to expand coverage of the wireless network.
  • an access terminal 820 can be capable of operating both in macro environments and in smaller scale (e.g., residential) network environments.
  • the access terminal 820 can be served by a macro cell access node 860 or by any one of a set of femto nodes 810 (e.g., the femto nodes 810A and 810B that reside within a corresponding user residence 830).
  • a set of femto nodes 810 e.g., the femto nodes 810A and 810B that reside within a corresponding user residence 830.
  • a standard macro cell access node e.g., node 860
  • a femto node e.g., node 810A
  • a femto node 810 can be backward compatible with existing access terminals 820.
  • an open femto node can refer to a femto node with no restricted association.
  • a restricted femto node can refer to a femto node that is restricted in some manner (e.g., restricted for association and/or registration).
  • a home femto node can refer to a femto node on which the access terminal is authorized to access and operate on.
  • a guest femto node can refer to a femto node on which an access terminal is temporarily authorized to access or operate on.
  • An alien femto node can refer to a femto node on which the access terminal is not authorized to access or operate on, except for perhaps emergency situations (e.g., 911 calls).
  • a processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. Additionally, at least one processor may comprise one or more modules operable to perform one or more of the steps and/or actions described above.
  • An exemplary storage medium may be coupled to the processor, such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. Further, in some aspects, the processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
  • the backhaul condition may be associated with one or more of a backhaul latency measurement, a backhaul error rate, and/or a jitter value.
  • the backhaul condition associated with backhaul latency measurement may be identified when the backhaul latency measurement is above a threshold value, e.g., backhaul latency measurement threshold value (first threshold value)
  • the backhaul condition associated with backhaul error rate may be identified when the backhaul error rate is above a threshold value, e.g., backhaul error rate threshold value (second threshold value)
  • the backhaul condition associated with jitter value may be identified when the jitter value is above a threshold value, e.g., jitter threshold value (third threshold value).
  • any combination of the three backhaul conditions and/or threshold values may be used for identifying the backhaul condition at the femto node.
  • the backhaul condition may be configured at the femto node or dynamically selected at the femto node on a per application basis based on the application.
  • the identifying of the backhaul condition does not have to be performed at the femto node (e.g., femto node 1020).
  • the backhaul latency measurements may be computed by monitoring the traffic over backhaul 1010 over longer or shorter periods of time depending on the type of application (e.g., VoIP, non-QoS data session, etc.) supported by femto node 1020.
  • the monitoring duration may depend on the type of backhaul 1010 (e.g., fiber, Ethernet, digital subscriber line (DSL), cable, etc.) and/or past performance history of the backhaul (e.g. based on whether the backhaul condition changes frequently). This allows flexibility at the femto node to properly identify the backhaul condition.
  • femto node 1020 derives one or more resource management parameters by a self organizing network (SON) function (e.g., self-configuration function)
  • the SON function may maintain multiple sets of resource management parameters for optimizing at the femto node 1020, where the multiple sets of resource management parameters apply to distinct ranges of backhaul latency measurements.
  • the SON function may discard current parameter values and start configuring new values for the resource management parameters when backhaul latency measurements change.
  • hysteresis and/or time to trigger may be applied before the SON function determines updating or discarding of mobility-related parameters to minimize or avoid modifying resource management parameters for rare or less frequent occurrences.

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

Abstract

La présente invention concerne des aspects de la gestion de la performance d'un réseau sans fil. Par exemple, les aspects peuvent consister à identifier une condition de liaison secondaire au niveau d'une petite cellule dans le réseau sans fil, où la condition de liaison secondaire est associée à un ou plusieurs éléments parmi une mesure de latence de liaison secondaire, un taux d'erreur de liaison secondaire, ou une valeur de gigue de liaison secondaire au niveau de la petite cellule, et déclencher une action au niveau de la petite cellule en réponse à l'identification de la condition de liaison secondaire au niveau de la petite cellule, où le déclenchement de l'action au niveau de la petite cellule consiste à modifier un ou plusieurs paramètres de gestion de ressource au niveau de la petite cellule en fonction de la condition de liaison secondaire. Ainsi, la performance d'un réseau sans fil peut être gérée.
PCT/US2015/046029 2014-08-22 2015-08-20 Gestion de performance d'un réseau sans fil grâce à des métriques de liaison secondaire WO2016028969A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201462041018P 2014-08-22 2014-08-22
US62/041,018 2014-08-22
US14/829,915 US20150358959A1 (en) 2012-03-02 2015-08-19 Managing perfomance of a wireless network using backhaul metrics
US14/829,915 2015-08-19

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WO2018197830A1 (fr) * 2017-04-27 2018-11-01 Airspan Networks Inc. Appareil et procédé pour améliorer la connectivité d'éléments d'équipement utilisateur dans un réseau sans fil
WO2019016503A1 (fr) * 2017-07-20 2019-01-24 Airspan Networks Inc. Configuration de nœud de réseau par mandataire
US10911303B2 (en) 2017-07-20 2021-02-02 Airspan Networks Inc. Access node configuration in a network
US11277195B2 (en) 2017-04-27 2022-03-15 Airspan Ip Holdco Llc Apparatus and method for providing network coverage in a wireless network

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WO2009105687A1 (fr) * 2008-02-22 2009-08-27 Qualcomm Incorporated Procédés et appareil pour commander la transmission d’une station de base
US20130231099A1 (en) * 2012-03-02 2013-09-05 Qualcomm Incorporated Method and apparatus for determining mobility parameters based on neighboring access points
US20130286865A1 (en) * 2011-08-17 2013-10-31 Telefonaktiebolaget L M Ericsson (Publ) Method and Controlling Network Node in a Radio Access Network
WO2014121846A1 (fr) * 2013-02-08 2014-08-14 Huawei Technologies Co., Ltd. Système de communication radio

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WO2009105687A1 (fr) * 2008-02-22 2009-08-27 Qualcomm Incorporated Procédés et appareil pour commander la transmission d’une station de base
US20130286865A1 (en) * 2011-08-17 2013-10-31 Telefonaktiebolaget L M Ericsson (Publ) Method and Controlling Network Node in a Radio Access Network
US20130231099A1 (en) * 2012-03-02 2013-09-05 Qualcomm Incorporated Method and apparatus for determining mobility parameters based on neighboring access points
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018197830A1 (fr) * 2017-04-27 2018-11-01 Airspan Networks Inc. Appareil et procédé pour améliorer la connectivité d'éléments d'équipement utilisateur dans un réseau sans fil
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US11277195B2 (en) 2017-04-27 2022-03-15 Airspan Ip Holdco Llc Apparatus and method for providing network coverage in a wireless network
WO2019016503A1 (fr) * 2017-07-20 2019-01-24 Airspan Networks Inc. Configuration de nœud de réseau par mandataire
US10742490B2 (en) 2017-07-20 2020-08-11 Airspan Networks Inc. Network access sub-node configuration by a proxy
US10911303B2 (en) 2017-07-20 2021-02-02 Airspan Networks Inc. Access node configuration in a network

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