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WO2025078713A1 - Procédé d'estimation du débit d'un réseau cellulaire pour un site - Google Patents

Procédé d'estimation du débit d'un réseau cellulaire pour un site Download PDF

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Publication number
WO2025078713A1
WO2025078713A1 PCT/FI2024/050458 FI2024050458W WO2025078713A1 WO 2025078713 A1 WO2025078713 A1 WO 2025078713A1 FI 2024050458 W FI2024050458 W FI 2024050458W WO 2025078713 A1 WO2025078713 A1 WO 2025078713A1
Authority
WO
WIPO (PCT)
Prior art keywords
cellular network
throughput
site
group
levels
Prior art date
Application number
PCT/FI2024/050458
Other languages
English (en)
Inventor
Juha Pirinen
Karri Sunila
Miikka Ojala
Original Assignee
Elisa Oyj
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 Elisa Oyj filed Critical Elisa Oyj
Publication of WO2025078713A1 publication Critical patent/WO2025078713A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
    • H04L43/0888—Throughput
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • FIG. 4 is an illustration of a graphical representation of different throughput estimations of a cellular network for a site with respect to levels of signal strengths of different downlink field signals for different SINR values, in accordance with an embodiment of the present disclosure.
  • the present disclosure provides a method for estimating a throughput of a cellular network for a site, wherein the site is located within a coverage area of one or more cellular network cells of the cellular network, the method comprises:
  • the method significantly improves an accuracy of estimating the throughput of the cellular network for the site. Moreover, the method enables to gain valuable insights into identifying specific areas that require expansion and optimization of the cellular network in those identified specific areas. Furthermore, the method is able to gather a more realistic idea about customer experience of users of the cellular network which is used as reference for performance of the cellular network.
  • the method comprises obtaining the levels of signal strengths of the different downlink field signals for the each cell of the one or more cellular network cells.
  • downlink field signals refers to those signals that are transmitted from the corresponding base stations to mobile devices (such as cell phones, smartphones, tablets, and the like) located within the one or more cellular network cells.
  • the downlink field signals contains various types of information such as voice data, text messages, data for internet access, and the like, and thus, the downlink field signals are essential for functioning of the wireless communication system in the cellular network. It will be appreciated that in each of the one or more cellular network cells, different downlink field signals are used.
  • the "levels of signal strengths" refers to an indication of a quality of the different downlink field signals for each of the one or more cellular network cell.
  • a strong level of signal strength for any cellular network cell indicates a high quality of the downlink field signal for that network coverage cell.
  • a weak level signal strength for any cellular network cell indicates a low quality of the downlink field signal for that cellular network cell.
  • obtaining the levels of signal strengths of the different downlink field signals for each of the one or more cellular network cells enables to form a comparison between the quality of the different downlink filed signals for the each of the one or more cellular network cells. It will be appreciated that the obtained levels of signal strengths of the different downlink field signals for each of the one or more cellular network cells are pre-calculated values.
  • obtaining comprises obtaining the levels of signal strengths of the different downlink field signals for an area corresponding to an outdoor location at the site.
  • area corresponding to outdoor location refers to an open environment space present at the site which is not enclosed by any building.
  • the obtained levels of signal strengths of the different downlink field signals for the area corresponding to the outdoor location at the site remains unhindered due to absence of any walls or other objects.
  • a technical effect of obtaining the levels of signal strengths of the different downlink field signals for the area corresponding to the outdoor location at the site is that no offset adjustment needs to be made in the obtained levels of signal strengths of the different downlink field signals.
  • obtaining comprises obtaining the levels of signal strengths of the different downlink field signals with an indoor offset for an area corresponding to an indoor location at the site.
  • area corresponding to indoor location refers to a closed environment space present at the site which is enclosed within a building or any similar structure.
  • the obtained levels of signal strengths of the different downlink field signals for the area corresponding to the indoor location at the site are hindered due to presence of walls or others objects in the area corresponding to the indoor location at the site.
  • a part of the obtained levels of signal strengths of the different downlink field signals for the area corresponding to the outdoor location at the site gets lost due to contact with the walls or other objects present in the area corresponding to the indoor location at the site.
  • the term "indoor offset” refers to a reduction that is done in the obtained levels of signal strengths of the different downlink field signals for the area corresponding to the outdoor location at the site, due to loss of the part of the obtained levels of signal strengths.
  • a technical effect of obtaining the levels of signal strengths of the different downlink field signals with the indoor offset for the area corresponding to the indoor location at the site is that accurate offset adjustment is made in the obtained levels of signal strengths of the different downlink field signals.
  • the method comprises calculating the set of SINR. (signal-to- interference-plus-noise ratio) values as the difference between the obtained pre-calculated downlink field signal of the strongest signal strength and the obtained pre-calculated downlink field signal of the second strongest field signal strength from amongst the obtained levels of the signal strengths of the different downlink field signals.
  • SINR signal-to- interference-plus-noise ratio
  • the term "obtained pre-calculated downlink field signal of the strongest signal strength” refers to another downlink field signal for another given cellular network cell which has second best level of signal strength from amongst the different downlink field signals for the each of the one or more cellular network cells.
  • the term "set of SINR values” refers to a plurality of Signal-to-Interference-plus- Noise Ratio values that evaluate a quality of the signals transmitted in the cellular network in presence of interference and background noise.
  • a high SINR value indicates a good quality of communication in the cellular network.
  • a low SINR value indicates a poor quality of communication in the cellular network.
  • SINR. columns provide different SINR values reflecting possible cell overlap scenarios.
  • Each row (Signal strength) provides best serving cell field signal strength and corresponding throughput value (Mbps) at 100MHz bandwidth.
  • Table 1 indicates noise impact to throughput.
  • the method comprises selecting the cellular network cell or the group, wherein the selected cellular network cell or the group has the highest theoretical throughput.
  • the cellular network cell is selected only when no group is formed in the cellular network. It will be appreciated that the selected cellular network cell or the group is a most suitable candidate for determining the throughput estimate of the cellular network for the site, as the selected cellular network cell or the group has the highest theoretical throughput.
  • the method further comprises adjusting the levels of signal strengths by:
  • the term “neighbouring cellular network cells” refers to those cellular network cells that are adjacent to the cellular network. Subsequently, the determination of the SINR values of the neighbouring cellular network cells using the calculated set of SINR values enables to take into account an impact of interference in the neighbouring cellular network cells in adjusting the levels of signal strengths.
  • the SINR values of the neighbouring cellular network cells are determined via a network planning tool.
  • the term “correct throughput estimate” refers to an adjusted value of the throughput estimate of the cellular network by correlating with the determined SINR. values of neighbouring cellular network cells. A technical effect is that an effect of the neighbouring cellular network cells are correctly taken into account to determine the correct throughput estimate.
  • the method further comprises adjusting determined theoretical throughput values based on cellular network loading by:
  • KPIs key performance indicators
  • bus hours refers to those specific hours in a day determined over a period of time when a high number of users are using the cellular network.
  • identifying the busy hours allow to determine which certain hours of the day are going to have an impact on the determined theoretical throughput values.
  • the identified busy hours are used to adjust the determined theoretical throughput values.
  • a technical effect is that the determined theoretical throughput values are accurately adjusted using the identified busy hours and the current loading conditions of the cellular network.
  • the mean occupancy of the cellular network cell PRB is between 40% to 85%, then the average number of simultaneous users sharing the cell capacity at the same time during the busy hour is between 1 to 6.67. In yet another example, the mean occupancy of the cellular network cell PRB is less than 40%, then the average number of simultaneous users sharing the cell capacity at the same time during the busy hour is 1 or maximum capacity of the cellular network.
  • the method further comprises estimating an available throughput of the cellular network based on the throughput estimate of the cellular network for the site, the calculated SINR. and the estimated average number of simultaneous users.
  • available throughput refers to an actual data transfer rate that can be provided to the users by the cellular network after taking into consideration all limitations and factors that are going to impact the throughput estimate of the cellular network for the site.
  • a technical effect is that an actual correct value of the throughput that is being made available to the user at the site is determined in the form of the available throughput of the cellular network.
  • values building ID, TX_ID, carrier, carrier bandwidth, threshold outdoor, rank number, CA group, SINR value, cell load, threshold indoor, throughput outdoor busy hour, throughput indoor, and throughput indoor busy hour are listed for four different cellular network cells, which are used to determine the throughput estimate of the cellular network for the site.
  • TABLE 3C As shown in TABLE 3A, 3B and 3C collectively, values of building ID, TX_ID, carrier, carrier bandwidth, threshold outdoor, rank number, CA group, SINR, cell load, threshold indoor, throughput outdoor, throughput outdoor busy hour, throughput indoor, throughput indoor busy hour, sum throughput outdoor, sum throughput outdoor busy hour, sum throughput indoor, and sum throughput indoor busy hour are listed for four different cellular network cells, which are used to determine the throughput estimate of the cellular network for the site.
  • a theoretical throughput associated with the obtained levels of signal strengths of the different downlink field signals for the each of the one or more cellular network cells and a set of calculated SINR values is obtained.
  • the determined theoretical throughput values are adjusted according to current loading conditions.
  • a group comprising two or more of the cellular network cells is formed and an aggregated theoretical throughput of the two or more cellular network cells of the group is used as a theoretical throughput of the group.
  • FIG. 4 illustrated is a graphical representation of different throughput estimations of a cellular network for a site with respect to levels of signal strengths of different downlink field signals for different SINR values, in accordance with an embodiment of the present disclosure.
  • x-axis represents the different throughput estimations of the cellular network for the site and y-axis represents the levels of signal strengths of the different downlink field signals.
  • a curve 400 represents the different throughput estimations of the cellular network for the site with respect to the levels of signal strengths of the different downlink field signals for SINR value of 0.
  • a curve 402 represents the different throughput estimations of the cellular network for the site with respect to the levels of signal strengths of the different downlink field signals for SINR value of 3.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé d'estimation du débit d'un réseau cellulaire (200) pour un site (202). Le procédé comprend l'obtention des niveaux d'intensité des signaux de différents champs de liaison descendante pour chacune d'une ou plusieurs cellules de réseau cellulaire ; le calcul d'un ensemble de valeurs SINR ; la détermination du débit théorique associé aux niveaux d'intensité des signaux de différents champs de liaison descendante obtenus pour chacune d'une ou plusieurs cellules de réseau cellulaire et à l'ensemble de valeurs SINR calculées ; former un groupe comprenant au moins deux cellules de réseau cellulaire et utiliser le débit théorique agrégé de deux cellules de réseau cellulaire ou plus du groupe comme débit théorique du groupe ; sélectionner une cellule de réseau cellulaire ou un groupe ; et utiliser le débit théorique déterminé de la cellule de réseau cellulaire sélectionnée ou du groupe sélectionné comme estimation du débit du réseau cellulaire pour le site.
PCT/FI2024/050458 2023-10-13 2024-09-03 Procédé d'estimation du débit d'un réseau cellulaire pour un site WO2025078713A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FI20236146 2023-10-13
FI20236146A FI131155B1 (en) 2023-10-13 2023-10-13 Procedure for estimating the capacity of mobile phone networks for objects

Publications (1)

Publication Number Publication Date
WO2025078713A1 true WO2025078713A1 (fr) 2025-04-17

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030186693A1 (en) * 2002-04-01 2003-10-02 Gil Shafran Estimating traffic distribution in a mobile communication network
US20190380076A1 (en) * 2018-06-08 2019-12-12 At&T Intellectual Property I, L.P. Load balancing in wireless networks to enhance user experience

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030186693A1 (en) * 2002-04-01 2003-10-02 Gil Shafran Estimating traffic distribution in a mobile communication network
US20190380076A1 (en) * 2018-06-08 2019-12-12 At&T Intellectual Property I, L.P. Load balancing in wireless networks to enhance user experience

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Publication number Publication date
FI20236146A1 (en) 2024-11-01
FI131155B1 (en) 2024-11-01

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