WO2022018299A1 - System and method for optimizing energy utilization in a cellular network - Google Patents

System and method for optimizing energy utilization in a cellular network Download PDF

Info

Publication number
WO2022018299A1
WO2022018299A1 PCT/EP2021/070855 EP2021070855W WO2022018299A1 WO 2022018299 A1 WO2022018299 A1 WO 2022018299A1 EP 2021070855 W EP2021070855 W EP 2021070855W WO 2022018299 A1 WO2022018299 A1 WO 2022018299A1
Authority
WO
WIPO (PCT)
Prior art keywords
cell
performance parameters
values
predetermined
real time
Prior art date
Application number
PCT/EP2021/070855
Other languages
French (fr)
Inventor
Joao LOBATO
Joao Gaspar
Original Assignee
Aspire Technology Limited
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 Aspire Technology Limited filed Critical Aspire Technology Limited
Priority to EP21755381.7A priority Critical patent/EP4186283A1/en
Publication of WO2022018299A1 publication Critical patent/WO2022018299A1/en

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0215—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices
    • H04W28/0221—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices power availability or consumption
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0209—Power saving arrangements in terminal devices
    • H04W52/0251—Power saving arrangements in terminal devices using monitoring of local events, e.g. events related to user activity
    • H04W52/0258—Power saving arrangements in terminal devices using monitoring of local events, e.g. events related to user activity controlling an operation mode according to history or models of usage information, e.g. activity schedule or time of day
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present disclosure relates to a system and method for optimizing energy utilization in a cellular network, and more particularly to an automated system and method for optimizing energy utilization in a cellular network.
  • the land area to which the network caters to is divided into cells in a pattern dependent on terrain and reception characteristics.
  • the network further includes many base stations and each base station catering to at least one cell.
  • One of the major challenges which any cellular network operator faces is to ensure that the network is operating with maximum energy efficiency.
  • optimising energy utilisation is a major feature of many modern cellular networks.
  • the existent solutions known in the art are manual solutions which require a big effort from an operator to tune all the relevant parameters. This is related to the fact that, in existent solutions, there are numerous parameters to be tuned and that every cell should have its own specific configuration according to each cell profile.
  • the present invention relates to a system and method for optimizing energy utilization of at least one cell in a cellular network, as defined in the appended claims.
  • the method comprises the steps of selecting one or more cells from a plurality of cells constituting a cellular network and inputting predetermined default values and predetermined threshold values corresponding to a plurality of cell performance parameters defined for each selected cell.
  • the plurality of cell performance parameters comprises one or more of the following: cell sleep time, cell wake up time, cell user throughput and cell physical resource block utilization, Radio Resource Control connected users and Physical Downlink Control Channel. Further, the plurality of cell performance parameters are continuously evaluated for each cell in real time during an intervention period. The evaluated cell performance parameters are then compared with the corresponding set of threshold values. If at least one performance parameter of any cell breaches its corresponding threshold value, said threshold values is then reverted to the predetermined default value.
  • the present invention does not require manual intervention and continuously optimizes the performance parameters of each cell which in turn maximizes energy savings from each cell without degrading the quality of service.
  • the method further optimizes the set of threshold values based on historical data of the cell performance parameters. If at least one threshold value of any cell is reverted to its corresponding default value for a predetermined number of instances, said cell is deselected for a predetermined time period, for example 48 hours.
  • a system as per the present invention comprising a computing unit having a user interface and a memory means, a comparison unit and an adjustment unit.
  • the computing unit is configured to continuously evaluate in real time the plurality of performance parameters for each selected cell and said evaluated real time performance parameters are stored in the memory means.
  • the predetermined default values and the predetermined threshold values corresponding to the performance parameters are inputted through the user interface and stored in the memory means.
  • the comparison unit compares the real time performance parameters of each cell with the predetermined threshold values. If any of the real time evaluated performance parameter(s) breaches its corresponding threshold value, said threshold value(s) are reverted to its corresponding default value(s) by the adjustment unit.
  • a feedback mechanism is configured and initiated for a predetermined time period, wherein the real time performance parameters are analysed and if there is no significant improvement in the evaluated parameters, the threshold values are reset to its initial values.
  • the initial values that are reset is a previous value or a predefined default value.
  • a computer program comprising program instructions for causing a computer program to carry out the above method which may be embodied on a record medium, carrier signal or read-only memory.
  • Figure 1 is a flowchart illustrating the method as per a preferred embodiment of the present invention.
  • the method as per the present invention comprises the steps of selecting one or more cells from a plurality of cells constituting a cellular network 101, and inputting a set of predetermined default values and a set of predetermined threshold values corresponding to a plurality of performance parameters for each cell 102.
  • the present invention is implemented in a self-organizing cellular network platform.
  • the plurality of performance parameters includes cell sleep time, cell wake up time, cell user throughput and cell physical resource block utilization Radio Resource Control connected users, Physical Downlink Control Channel, Radio Resource Control connected users and Physical Downlink Control Channel (PDCCFI).
  • the real time values of performance parameters of each cell is then continuously evaluated during a predetermined intervention period 103.
  • the evaluated real time parameters are then compared with the corresponding pre-determ ined threshold values 104. In case any of the performance parameters of a cell breaches its corresponding threshold value, the value of said threshold value is reverted to its corresponding default value 105.
  • the predetermined set of threshold values are continuously optimised to maintain quality of service 106.
  • a feedback mechanism is initiated for a predetermined time period, wherein the real time performance parameters are analysed and if there is no significant improvement in the evaluated parameters, the threshold values are reset to its initial values, such as a previous value or a predefined default values. For example, if cell sleep time does not increase or decrease substantially, it is perceived that the changes made to threshold values have not resulted in the intended outcome which implies that the threshold values needs to be reconfigured to the original values. Further, a cell having at least one threshold value reverted to its corresponding default value for a predetermined number of instances is deselected for a period of time, for example a period of 48 hours. Other periods of time can be suitably selected. During the time a cell is deselected as aforementioned, none of the performance parameters of such cell is monitored.
  • the cell After an action is performed on a cell (either to optimize the threshold or to revert back to original value), the cell is not considered for further optimization for a predetermined period. That can be 24 hours or several days. The ensures that the method and system obtains “clean” performance measurements without being biased with a previous action.
  • the predetermined default values and predetermined threshold values are varied based on network traffic at different times of the day and on different days of the week.
  • the optimization method as per the present invention substantially improves gains in energy savings by continuously adjusting cell threshold values to optimal values.
  • the method described above is realised by a system comprising a computing unit, a comparison unit and an adjustment unit.
  • the computing unit further comprises a user interface and a memory means.
  • the predetermined set of default values and threshold values corresponding to each cell performance parameter is inputted using the user interface and is stored on the memory means.
  • the computing means continuously evaluates the real time values of performance parameters of each cell and stores the values in the memory means.
  • the comparison unit compares the real time values of performance parameters of each cell with the corresponding set of inputted threshold values. In case any of the real time cell performance parameters breaches the threshold value, said cell threshold value is reverted to its corresponding predetermined default value by the adjustment means.
  • a feedback means continuously evaluates the cell performance parameters for a predetermined time duration and if there is no substantial improvement in performance parameters subsequent to change in corresponding threshold values, the changed threshold values are reverted to its initial values.
  • the embodiments in the invention described with reference to the drawings comprise a computer apparatus and/or processes performed in a computer apparatus.
  • the invention also extends to computer programs, particularly computer programs stored on or in a carrier adapted to bring the invention into practice.
  • the program may be in the form of source code, object code, or a code intermediate source and object code, such as in partially compiled form or in any other form suitable for use in the implementation of the method according to the invention.
  • the carrier may comprise a storage medium such as ROM, e.g. a memory stick or hard disk.
  • the carrier may be an electrical or optical signal which may be transmitted via an electrical or an optical cable or by radio or other means.

Abstract

The present invention relates to a system and method for optimising energy utilisation in a cellular network. The method as per the present invention comprises the steps of selecting at least one cell from a plurality of cells constituting the cellular network, inputting a set of predetermined default values and a set of predetermined threshold values corresponding to a plurality of cell performance parameters to a computing unit, evaluating using the computing means the real time performance parameters of each cell and comparing using a comparison unit the evaluated real time performance parameters and the corresponding threshold values. As a result of the comparison step, if any cell performance parameter breaches its corresponding threshold value, an adjustment unit reverts said cell performance threshold values to its corresponding default or previous value.

Description

TITLE
SYSTEM AND METHOD FOR OPTIMIZING ENERGY UTILIZATION IN A CELLULAR NETWORK FIELD
The present disclosure relates to a system and method for optimizing energy utilization in a cellular network, and more particularly to an automated system and method for optimizing energy utilization in a cellular network.
BACKGROUND
In a cellular communication network, the land area to which the network caters to is divided into cells in a pattern dependent on terrain and reception characteristics. The network further includes many base stations and each base station catering to at least one cell. One of the major challenges which any cellular network operator faces is to ensure that the network is operating with maximum energy efficiency. As a result, optimising energy utilisation is a major feature of many modern cellular networks. The existent solutions known in the art are manual solutions which require a big effort from an operator to tune all the relevant parameters. This is related to the fact that, in existent solutions, there are numerous parameters to be tuned and that every cell should have its own specific configuration according to each cell profile.
Even if it was possible for an operator to perform such activity, it is impossible for any operator to manually update on a daily basis each cell configuration for the entire network. Further, every day each cell will have a traffic profile that will be different from the previous day. Most cells in any network have different behaviour during weekdays and weekends, and it would not be possible for an operator to manually change configuration for every cell in the network to have different configurations during weekdays and weekends. Also, even though the parameters to be tuned are at cell level, its common practice that the operator will set the same configuration values across the network. In the best-case scenario, there will be a couple of different configuration templates which are applied based to each cell profile. Even then, such configuration templates remain static and are not updated on a regular basis. Examples of such systems are described in US2017//318479 (Cotanis Nicolas G et al) and US6,584,330 (Ruuska Tauno).
Further, existing solutions do not consider quality of service. They only react to pre-defined thresholds without measuring the real impact of those thresholds on the cells. So even if the current configuration is leading to degradation in a cell and/or not maintaining quality of service, the configuration will not change automatically to prevent this to happen.
There is therefore a need for an improved system and method which enables continuous evaluation and adjustment of various cell performance parameters thereby optimizing energy utilisation of each cell, while ensuring at the same time that that the quality of service is not compromised, and this forms the primary objective of the present invention.
SUMMARY OF INVENTION
The present invention relates to a system and method for optimizing energy utilization of at least one cell in a cellular network, as defined in the appended claims.
In one embodiment of the invention the method comprises the steps of selecting one or more cells from a plurality of cells constituting a cellular network and inputting predetermined default values and predetermined threshold values corresponding to a plurality of cell performance parameters defined for each selected cell.
The plurality of cell performance parameters comprises one or more of the following: cell sleep time, cell wake up time, cell user throughput and cell physical resource block utilization, Radio Resource Control connected users and Physical Downlink Control Channel. Further, the plurality of cell performance parameters are continuously evaluated for each cell in real time during an intervention period. The evaluated cell performance parameters are then compared with the corresponding set of threshold values. If at least one performance parameter of any cell breaches its corresponding threshold value, said threshold values is then reverted to the predetermined default value.
The present invention does not require manual intervention and continuously optimizes the performance parameters of each cell which in turn maximizes energy savings from each cell without degrading the quality of service.
In one embodiment the method further optimizes the set of threshold values based on historical data of the cell performance parameters. If at least one threshold value of any cell is reverted to its corresponding default value for a predetermined number of instances, said cell is deselected for a predetermined time period, for example 48 hours. In another embodiment there is provided a system as per the present invention comprising a computing unit having a user interface and a memory means, a comparison unit and an adjustment unit. The computing unit is configured to continuously evaluate in real time the plurality of performance parameters for each selected cell and said evaluated real time performance parameters are stored in the memory means. The predetermined default values and the predetermined threshold values corresponding to the performance parameters are inputted through the user interface and stored in the memory means.
The comparison unit compares the real time performance parameters of each cell with the predetermined threshold values. If any of the real time evaluated performance parameter(s) breaches its corresponding threshold value, said threshold value(s) are reverted to its corresponding default value(s) by the adjustment unit. In one embodiment there is provided a feedback mechanism is configured and initiated for a predetermined time period, wherein the real time performance parameters are analysed and if there is no significant improvement in the evaluated parameters, the threshold values are reset to its initial values.
In one embodiment the initial values that are reset is a previous value or a predefined default value.
There is also provided a computer program comprising program instructions for causing a computer program to carry out the above method which may be embodied on a record medium, carrier signal or read-only memory.
BRIEF DESCRIPTION OF DRAWINGS
The novel features of the present invention are set forth in the appended claims hereto. The subject matter itself, however, as well as a preferred mode of use, further objectives, and advantages thereof, will best be understood by reference to the following detailed description of illustrative embodiments when read in conjunction with the accompanying drawings and wherein: Figure 1 is a flowchart illustrating the method as per a preferred embodiment of the present invention.
DETAILED DESCRIPTION OF INVENTION Referring to Figure 1, the method as per the present invention comprises the steps of selecting one or more cells from a plurality of cells constituting a cellular network 101, and inputting a set of predetermined default values and a set of predetermined threshold values corresponding to a plurality of performance parameters for each cell 102. In a preferred embodiment, the present invention is implemented in a self-organizing cellular network platform.
The plurality of performance parameters includes cell sleep time, cell wake up time, cell user throughput and cell physical resource block utilization Radio Resource Control connected users, Physical Downlink Control Channel, Radio Resource Control connected users and Physical Downlink Control Channel (PDCCFI). The real time values of performance parameters of each cell is then continuously evaluated during a predetermined intervention period 103. The evaluated real time parameters are then compared with the corresponding pre-determ ined threshold values 104. In case any of the performance parameters of a cell breaches its corresponding threshold value, the value of said threshold value is reverted to its corresponding default value 105. Further, based on historical data of performance parameters such as cell sleep time, cell user throughput and cell physical resource block utilisation, the predetermined set of threshold values are continuously optimised to maintain quality of service 106. Once the threshold values for a cell are optimised, to verify that such optimisation is beneficial for the cell, a feedback mechanism is initiated for a predetermined time period, wherein the real time performance parameters are analysed and if there is no significant improvement in the evaluated parameters, the threshold values are reset to its initial values, such as a previous value or a predefined default values. For example, if cell sleep time does not increase or decrease substantially, it is perceived that the changes made to threshold values have not resulted in the intended outcome which implies that the threshold values needs to be reconfigured to the original values. Further, a cell having at least one threshold value reverted to its corresponding default value for a predetermined number of instances is deselected for a period of time, for example a period of 48 hours. Other periods of time can be suitably selected. During the time a cell is deselected as aforementioned, none of the performance parameters of such cell is monitored.
After an action is performed on a cell (either to optimize the threshold or to revert back to original value), the cell is not considered for further optimization for a predetermined period. That can be 24 hours or several days. The ensures that the method and system obtains “clean” performance measurements without being biased with a previous action. The predetermined default values and predetermined threshold values are varied based on network traffic at different times of the day and on different days of the week. The optimization method as per the present invention substantially improves gains in energy savings by continuously adjusting cell threshold values to optimal values.
The method described above is realised by a system comprising a computing unit, a comparison unit and an adjustment unit. The computing unit further comprises a user interface and a memory means. The predetermined set of default values and threshold values corresponding to each cell performance parameter is inputted using the user interface and is stored on the memory means. The computing means continuously evaluates the real time values of performance parameters of each cell and stores the values in the memory means. The comparison unit compares the real time values of performance parameters of each cell with the corresponding set of inputted threshold values. In case any of the real time cell performance parameters breaches the threshold value, said cell threshold value is reverted to its corresponding predetermined default value by the adjustment means. Further, in case the threshold value of any cell performance parameter is optimised, a feedback means continuously evaluates the cell performance parameters for a predetermined time duration and if there is no substantial improvement in performance parameters subsequent to change in corresponding threshold values, the changed threshold values are reverted to its initial values.
Although the present invention has been described with reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the subject matter, will become apparent to persons skilled in the art upon reference to the description of the subject matter. It is therefore contemplated that such modifications can be made without departing from the spirit or scope of the present invention as defined.
The embodiments in the invention described with reference to the drawings comprise a computer apparatus and/or processes performed in a computer apparatus. However, the invention also extends to computer programs, particularly computer programs stored on or in a carrier adapted to bring the invention into practice. The program may be in the form of source code, object code, or a code intermediate source and object code, such as in partially compiled form or in any other form suitable for use in the implementation of the method according to the invention. The carrier may comprise a storage medium such as ROM, e.g. a memory stick or hard disk. The carrier may be an electrical or optical signal which may be transmitted via an electrical or an optical cable or by radio or other means.
In the specification the terms "comprise, comprises, comprised and comprising" or any variation thereof and the terms include, includes, included and including" or any variation thereof are considered to be totally interchangeable and they should all be afforded the widest possible interpretation and vice versa.
The invention is not limited to the embodiments hereinbefore described but may be varied in both construction and detail.

Claims

Claims
1. A method for optimizing energy utilization of at least one cell in a cellular network, the method comprising the steps of: a. selecting one or more cells from a plurality of cells constituting the cellular network; b. inputting a plurality of predetermined default values and a plurality of predetermined threshold values corresponding to a plurality of cell performance parameters for each selected cell; c. continuously evaluating the plurality of cell performance parameters in real time for each selected cell during an intervention period; d. comparing the evaluated real time cell performance parameters with the corresponding set of predetermined threshold values; and e. reverting the threshold values of a cell to the default values inputted in step(b) if the evaluated real time cell performance parameters breach the corresponding predetermined threshold values.
2. The method as claimed in claim 1, further comprising the step of continuously optimizing the predetermined plurality of threshold values based on historic values of the plurality of performance parameters of each cell.
3. The method as claimed in any of the preceding claims further comprising the step of deselecting for a predetermined time duration at least one cell having at least one threshold value reverted to default or previous values for a predetermined number of instances.
4. The method as claimed in claim 3 wherein the predetermined time duration is a selected predetermined period of time.
5. The method as claimed in any of the preceding claims wherein the plurality of cell performance parameters comprises one or more of the following cell sleep time, cell wake up time, cell user throughput and cell physical resource block utilization, Radio Resource Control connected users and Physical Downlink Control Channel, Radio Resource Control connected users and/or Physical Downlink Control Channel.
6. The method as claimed in any of the preceding claims comprising the step of initiating a feedback mechanism for a predetermined time period, wherein the real time performance parameters are analysed such that if there is no significant improvement in the evaluated parameters, the threshold values are reset to its initial values.
7. The method such as claimed in claim 6 wherein the initial values that are reset is a previous value or a predefined default value.
8. A system for optimizing energy utilization of at least one cell in a cellular network, the system comprising: a computing unit configured to continuously evaluate a plurality of real time performance parameters of at least one cell, the computing unit having a user interface and a memory means, the user interface enables inputting a plurality of predetermined default values and a plurality of predetermined threshold values corresponding to each evaluated real time performance parameter, the memory means adapted to store the evaluated real time performance parameters, the predetermined default values and the predetermined threshold values; a comparison unit adapted to compare the plurality of real time performance parameters with the corresponding predetermined threshold values; and an adjustment unit for reverting at least one real time threshold value to its corresponding default value or previous value, if said at least one real time performance parameter breaches the corresponding threshold value.
9. The system as claimed in claim 8, wherein the adjustment unit further enables continuous optimization of the plurality of threshold values based on historical values of the plurality of performance parameters of each cell.
10. The system as claimed in claims 8 or 9, wherein the plurality of cell performance parameters comprises at least one or more of the following: cell sleep time, cell wake up time, cell user throughput and cell physical resource block utilization, Radio Resource Control connected users and Physical Downlink Control Channel.
11 . The system as claimed in any of claims 8, 9 or 11 wherein a feedback mechanism is configured and initiated for a predetermined time period, wherein the real time performance parameters are analysed and if there is no significant improvement in the evaluated parameters, the threshold values are reset to its initial values.
12. The system as claimed in claim 11 wherein the initial values that are reset is a previous value or a predefined default value.
PCT/EP2021/070855 2020-07-24 2021-07-26 System and method for optimizing energy utilization in a cellular network WO2022018299A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP21755381.7A EP4186283A1 (en) 2020-07-24 2021-07-26 System and method for optimizing energy utilization in a cellular network

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP20187582 2020-07-24
EP20187582.0 2020-07-24

Publications (1)

Publication Number Publication Date
WO2022018299A1 true WO2022018299A1 (en) 2022-01-27

Family

ID=71833156

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2021/070855 WO2022018299A1 (en) 2020-07-24 2021-07-26 System and method for optimizing energy utilization in a cellular network

Country Status (2)

Country Link
EP (1) EP4186283A1 (en)
WO (1) WO2022018299A1 (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6584330B1 (en) 2000-07-18 2003-06-24 Telefonaktiebolaget Lm Ericsson (Publ) Adaptive power management for a node of a cellular telecommunications network
EP1847149A1 (en) * 2005-02-08 2007-10-24 TeliaSonera AB Cell reselection in cellular-network-based packet communication
US20170318479A1 (en) 2016-04-28 2017-11-02 Viavi Solutions Inc. Real-time load balancing for a network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6584330B1 (en) 2000-07-18 2003-06-24 Telefonaktiebolaget Lm Ericsson (Publ) Adaptive power management for a node of a cellular telecommunications network
EP1847149A1 (en) * 2005-02-08 2007-10-24 TeliaSonera AB Cell reselection in cellular-network-based packet communication
US20170318479A1 (en) 2016-04-28 2017-11-02 Viavi Solutions Inc. Real-time load balancing for a network

Also Published As

Publication number Publication date
EP4186283A1 (en) 2023-05-31

Similar Documents

Publication Publication Date Title
EP3225046B1 (en) Method and apparatus for determining cell states to adjust antenna configuration parameters
US11082292B2 (en) Method and apparatus for dynamic network configuration and optimisation using artificial life
EP3046358B1 (en) Techniques for dynamic network optimization using geolocation and network modeling
US11109283B1 (en) Handover success rate prediction and management using machine learning for 5G networks
CN113543284A (en) Energy saving method, base station, control unit and storage medium
Hossain et al. Distributed inter-BS cooperation aided energy efficient load balancing for cellular networks
CN113473480B (en) Improved reinforcement learning network coverage optimization method facing cellular network
US11006293B1 (en) Dynamic management of mobile communications network
EP3863320A1 (en) Network element association using network data
CN101836473A (en) Configuration of a radio coverage
EP2695328B1 (en) Optimization of network configuration
EP4011112B1 (en) Systems, methods and apparatuses for automating context specific network function configuration
CN106550414B (en) Load balancing method and device
US20040253962A1 (en) Methods and devices for assigning mobile devices to base stations in the presence of interference
WO2022018299A1 (en) System and method for optimizing energy utilization in a cellular network
CN117412365A (en) Cell energy saving method, system, equipment and medium
Eisenblätter et al. Integer programming methods for UMTS radio network planning
EP3111703B1 (en) Method for power consumption optimization in mobile cellular networks
CN112752327A (en) Power regulation method and access network equipment
US9622094B2 (en) Self-optimizing communication network with criteria class-based functions
CN102801556A (en) Network performance optimization method and device
CN112584386A (en) 5G C-RAN resource prediction and allocation method and system
CN114339962B (en) Base station energy saving method, device and system
CN113938993A (en) Self-adaptive energy-saving method, system, device and computer readable storage medium
KR101475082B1 (en) Rule-based wireless network optimization method using virtual mobiles

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21755381

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2021755381

Country of ref document: EP

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2021755381

Country of ref document: EP

Effective date: 20230224