WO2024119416A1 - Communication radio efficace et rapide - Google Patents

Communication radio efficace et rapide Download PDF

Info

Publication number
WO2024119416A1
WO2024119416A1 PCT/CN2022/137347 CN2022137347W WO2024119416A1 WO 2024119416 A1 WO2024119416 A1 WO 2024119416A1 CN 2022137347 W CN2022137347 W CN 2022137347W WO 2024119416 A1 WO2024119416 A1 WO 2024119416A1
Authority
WO
WIPO (PCT)
Prior art keywords
channel
configuration information
customized configuration
spectrum selection
database
Prior art date
Application number
PCT/CN2022/137347
Other languages
English (en)
Inventor
Shijun Sun
Ming Cai
Hua Li
Xiao Peng LUO
Ming Yan DONG
Wen Jia LIN
Hanbing HUANG
Chuan Qing QIN
Jing Wan
Bin Wu
Original Assignee
Nokia Shanghai Bell Co., Ltd.
Nokia Solutions And Networks Oy
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 Nokia Shanghai Bell Co., Ltd., Nokia Solutions And Networks Oy filed Critical Nokia Shanghai Bell Co., Ltd.
Priority to PCT/CN2022/137347 priority Critical patent/WO2024119416A1/fr
Publication of WO2024119416A1 publication Critical patent/WO2024119416A1/fr

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0091—Signaling for the administration of the divided path
    • H04L5/0094—Indication of how sub-channels of the path are allocated
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0003—Two-dimensional division
    • H04L5/0005—Time-frequency
    • H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • H04L5/001—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT the frequencies being arranged in component carriers

Definitions

  • Various example embodiments relate to the field of telecommunication and in particular, to methods, devices, apparatuses and a computer readable storage medium for efficient and fast radio communications.
  • the Federal Communications Commission established the citizens Broadband Radio Network which allowed the efficient use of shared frequencies in the 3550-3700 MHz band and then citizens Broadband Radio Service (CBRS) was proposed.
  • Spectrum Access System SAS
  • CBSD Citizens Broadband Radio Service Device
  • SAS Spectrum Access System
  • CBSD Citizens Broadband Radio Service Device
  • the operator prefers to be able to customize the configuration of the CBSD cells to get the optimal spectrum for better service.
  • it poses a huge challenge to existing frequency selection strategy, especially as the number of cells supported by the same CBSD increases, it takes longer for CBSD to select the most ideal frequency band for these cells.
  • example embodiments of the present disclosure provide a solution for efficient and fast radio communications.
  • a radio service device comprises at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the radio service device at least to: obtain, for spectrum selection for a set of cells supported by the radio service device, channel information on at least one available channel and customized configuration information associated with the spectrum selection; and search for, in a database, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • a server comprising at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the server at least to: obtain, from a database, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells; generate, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection; determine a result of the spectrum selection based on the second channel information and the second customized configuration information; and store, in the database, the result, the second channel information, and the second customized configuration information.
  • a method implemented at a radio service device comprises obtaining, at the radio service device and for spectrum selection for a set of cells supported by the radio service device, channel information on at least one available channel and customized configuration information associated with the spectrum selection; and searching for, in a database, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • a method implemented at a server comprises obtaining, at the server and from a database, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells; generating, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection; determining a result of the spectrum selection based on the second channel information and the second customized configuration information; and storing, in the database, the result, the second channel information, and the second customized configuration information.
  • an apparatus comprising means for obtaining, at a radio service device and for spectrum selection for a set of cells supported by the radio service device, channel information on at least one available channel and customized configuration information associated with the spectrum selection; and means for searching for, in a database, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • an apparatus comprising means for obtaining, at a server and from a database, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells; means for generating, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection; means for determining a result of the spectrum selection based on the second channel information and the second customized configuration information; and means for storing, in the database, the result, the second channel information, and the second customized configuration information.
  • a non-transitory computer readable medium comprising program instructions for causing an apparatus to perform at least the method according to any one of the above third to fourth aspect.
  • a non-transitory computer readable medium comprising program instructions stored thereon for performing at least the method of any one of above third to fourth aspect.
  • a computer program comprising instructions, which, when executed by an apparatus, cause the apparatus at least to: obtain, for spectrum selection for a set of cells supported by the radio service device, channel information on at least one available channel and customized configuration information associated with the spectrum selection; and search for, in a database, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • a computer program comprising instructions, which, when executed by an apparatus, cause the apparatus at least to: obtain, from a database, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells; generate, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection; determine a result of the spectrum selection based on the second channel information and the second customized configuration information; and store, in the database, the result, the second channel information, and the second customized configuration information.
  • a radio service device comprising obtaining circuitry configured to obtain, for spectrum selection for a set of cells supported by the radio service device, channel information on at least one available channel and customized configuration information associated with the spectrum selection; and searching circuitry configured to search for, in a database, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • a server comprising obtaining circuitry configured to obtain, from a database, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells; generating circuitry configured to generate, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection; determining circuitry configured to determine a result of the spectrum selection based on the second channel information and the second customized configuration information; and storing circuitry configured to store, in the database, the result, the second channel information, and the second customized configuration information.
  • Fig. 1 illustrates an example system in which embodiments of the present disclosure may be implemented
  • Fig. 2 illustrates schematic diagram of interaction flow between devices according to some embodiments of the present disclosure
  • Fig. 3 illustrates schematic diagram of Cloud-CBSD-SAS architecture according to some embodiments of the present disclosure
  • Fig. 4 illustrates schematic diagram of Cloud-CBSD-SAS sequence according to some embodiments of the present disclosure
  • Fig. 5 illustrates schematic diagram of database table design according to some embodiments of the present disclosure
  • Fig. 6 illustrates schematic diagram of query result of the database according to some embodiments of the present disclosure
  • Fig. 7 illustrates schematic diagram of input parameters according to some embodiments of the present disclosure
  • Fig. 8 illustrates a flowchart of querying results based on the database according to some embodiments of the present disclosure
  • Fig. 9 illustrates a spectrum selection algorithm according to some embodiments of the present disclosure
  • FIG. 10A, 10B, 10C, 10D, 10E as a whole illustrate a flowchart of prediction for available channels and related parameters according to some embodiments of the present disclosure
  • Fig. 11 illustrates a flowchart of a method implemented at a radio service device according to some embodiments of the present disclosure
  • Fig. 12 illustrates a flowchart of a method implemented at a server according to some other embodiments of the present disclosure
  • Fig. 13 illustrates a simplified block diagram of an apparatus that is suitable for implementing embodiments of the present disclosure.
  • Fig. 14 illustrates a block diagram of an example computer readable medium in accordance with some embodiments of the present disclosure
  • references in the present disclosure to “one embodiment, ” “an embodiment, ” “an example embodiment, ” and the like indicate that the embodiment described may include a particular feature, structure, or characteristic, but it is not necessary that every embodiment includes the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the art to affect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
  • first and second etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and similarly, a second element could be termed a first element, without departing from the scope of example embodiments.
  • the term “and/or” includes any and all combinations of one or more of the listed terms.
  • circuitry may refer to one or more or all of the following:
  • circuitry also covers an implementation of merely a hardware circuit or processor (or multiple processors) or portion of a hardware circuit or processor and its (or their) accompanying software and/or firmware.
  • circuitry also covers, for example and if applicable to the particular claim element, a baseband integrated circuit or processor integrated circuit for a mobile device or a similar integrated circuit in server, a cellular network device, or other computing or network device.
  • the term “communication network” refers to a network following any suitable communication standards, such as Long Term Evolution (LTE) , LTE-Advanced (LTE-A) , Wideband Code Division Multiple Access (WCDMA) , High-Speed Packet Access (HSPA) , Narrow Band Internet of Things (NB-IoT) and so on.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • WCDMA Wideband Code Division Multiple Access
  • HSPA High-Speed Packet Access
  • NB-IoT Narrow Band Internet of Things
  • the communications between a terminal device and a network device in the communication network may be performed according to any suitable generation communication protocols, including, but not limited to, the first generation (1G) , the second generation (2G) , 2.5G, 2.75G, the third generation (3G) , the fourth generation (4G) , 4.5G, the future fifth generation (5G) communication protocols, and/or any other protocols either currently known or to be developed in the future.
  • suitable generation communication protocols including, but not limited to, the first generation (1G) , the second generation (2G) , 2.5G, 2.75G, the third generation (3G) , the fourth generation (4G) , 4.5G, the future fifth generation (5G) communication protocols, and/or any other protocols either currently known or to be developed in the future.
  • Embodiments of the present disclosure may be applied in various communication systems. Given the rapid development in communications, there will of course also be future type communication technologies and systems with which the present disclosure may be embodied. It should not be seen as limiting the scope of the present disclosure to only the a
  • the term “network device” refers to a node in a communication network via which a terminal device accesses the network and receives services therefrom.
  • the network device may refer to a base station (BS) or an access point (AP) , for example, a node B (NodeB or NB) , an evolved NodeB (eNodeB or eNB) , a NR NB (also referred to as a gNB) , a Remote Radio Unit (RRU) , a radio header (RH) , a remote radio head (RRH) , a relay, a low power node such as a femto, a pico, and so forth, depending on the applied terminology and technology.
  • BS base station
  • AP access point
  • NodeB or NB node B
  • eNodeB or eNB evolved NodeB
  • NR NB also referred to as a gNB
  • RRU Remote Radio Unit
  • RH radio header
  • terminal device refers to any end device that may be capable of wireless communication.
  • a terminal device may also be referred to as a communication device, user equipment (UE) , a Subscriber Station (SS) , a Portable Subscriber Station, a Mobile Station (MS) , or an Access Terminal (AT) .
  • UE user equipment
  • SS Subscriber Station
  • MS Mobile Station
  • AT Access Terminal
  • the terminal device may include, but not limited to, a mobile phone, a cellular phone, a smart phone, voice over IP (VoIP) phones, wireless local loop phones, a tablet, a wearable terminal device, a personal digital assistant (PDA) , portable computers, desktop computer, image capture terminal devices such as digital cameras, gaming terminal devices, music storage and playback appliances, vehicle-mounted wireless terminal devices, wireless endpoints, mobile stations, laptop-embedded equipment (LEE) , laptop-mounted equipment (LME) , USB dongles, smart devices, wireless customer-premises equipment (CPE) , an Internet of Things (loT) device, a watch or other wearable, a head-mounted display (HMD) , a vehicle, a drone, a medical device and applications (e.g., remote surgery) , an industrial device and applications (e.g., a robot and/or other wireless devices operating in an industrial and/or an automated processing chain contexts) , a consumer electronics device, a device operating on commercial and/
  • SAS is a spectrum access system in the CBRS technology, and this system may authorize and manage use of spectrum for the CBRS.
  • the SAS approves and controls the use of spectrum ranges within CBRS through the SAS-CBSD interface.
  • the key role of SAS is to control frequency synchronization and allocation of spectrum.
  • CBSD is the immobile station that provides customer access to the network in the CBRS. Through system and geolocation details, the CBSD registers itself to the SAS.
  • SAS-CBSD is a typical server-client setup, the SAS responds to the CBSD with an approval or rejection response. When assigning spectrum ranges, the CBSD needs to check with the SAS periodically to restore and revalidate the spectrum range grant.
  • the SAS dynamically changes the assigned spectrum or revokes it based on the modified incumbency information.
  • the CBSD can also relinquish the issued spectrum and notify the SAS.
  • a full-arrangement approach is used to list all available options for all cells, and the priority of each custom configuration item is determined according to the operator's preference, so that when certain restrictions exist in the frequency band, tradeoffs can be made based on the priority to select the optimal solution under the current conditions.
  • the operator prefers to customize the configuration of the CBSD cells to get the optimal spectrum to provide a better service.
  • the channel is contiguous frequency range between lower and upper frequency limits. They prefer to configure the cells to be contiguous, to be as their desired bandwidth, desired power range, desired priority and etc.
  • the time for CBSD to assign a band is often within milliseconds, while for the four cells with complex configuration, the time will typically be in the seconds, and in the worst case, it may last 10s to 30s. It is estimated that when the number of cells is supported up to seven, the time will last for tens of minutes. This also means that the cell activation time will last for tens of minutes, which is intolerable for operators. It is conceivable that as the number of cells supported on the same CBSD increases, the time required for frequency selection will grow exponentially.
  • the present disclosure proposes an efficient and fast CBRS-based radio communication system to accelerate frequency selection based on the complex customization requirements.
  • Fig. 1 illustrates an example system 100 in which embodiments of the present disclosure may be implemented.
  • the system 100 includes at least one radio service device 110, at least one database 120 and at least one server 130. Both the radio service device 110 and the server 130 may perform data query or data storage operations on the database 120.
  • the server 130 may perform one or more algorithms, for example, a spectrum selection algorithm.
  • the data stored in the database 120 may be a result of the algorithm execution in the server 130.
  • at least one server 130 may be at least one cloud server.
  • Communications in the communication system 100 may be implemented according to any proper communication protocol (s) , comprising, but not limited to, cellular communication protocols of the first generation (1G) , the second generation (2G) , the third generation (3G) , the fourth generation (4G) and the fifth generation (5G) and on the like, wireless local network communication protocols such as Institute for Electrical and Electronics Engineers (IEEE) 802.11 and the like, and/or any other protocols currently known or to be developed in the future.
  • s cellular communication protocols of the first generation (1G) , the second generation (2G) , the third generation (3G) , the fourth generation (4G) and the fifth generation (5G) and on the like, wireless local network communication protocols such as Institute for Electrical and Electronics Engineers (IEEE) 802.11 and the like, and/or any other protocols currently known or to be developed in the future.
  • IEEE Institute for Electrical and Electronics Engineers
  • the communication may utilize any proper wireless communication technology, comprising but not limited to: Code Division Multiple Access (CDMA) , Frequency Division Multiple Access (FDMA) , Time Division Multiple Access (TDMA) , Frequency Division Duplex (FDD) , Time Division Duplex (TDD) , Multiple-Input Multiple-Output (MIMO) , Orthogonal Frequency Division Multiple (OFDM) , Discrete Fourier Transform spread OFDM (DFT-s-OFDM) and/or any other technologies currently known or to be developed in the future.
  • CDMA Code Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDD Frequency Division Duplex
  • TDD Time Division Duplex
  • MIMO Multiple-Input Multiple-Output
  • OFDM Orthogonal Frequency Division Multiple
  • DFT-s-OFDM Discrete Fourier Transform spread OFDM
  • the process 200 may involve an interaction process between the radio service device 110 and the database 120, and an interaction process between the server 130 and the database 120.
  • the two interaction processes are independent of each other, that is, there is no sequence between them.
  • interaction process between the radio service device 110 and the database 120 can be executed before, after, or simultaneously with the interaction process between the server 130 and the database 120.
  • the radio service device 110 may obtain (201) , for spectrum selection for a set of cells supported by the radio service device 110, channel information on at least one available channel and customized configuration information associated with the spectrum selection.
  • the radio service device 110 may search for (203) , in the database 120, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • the server 130 may obtain (202) , from the database 120, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells.
  • the server 130 may generate (204) , based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection.
  • the server 130 may determine (206) a result of the spectrum selection based on the second channel information and the second customized configuration information.
  • the server 130 may store (208) , in the database 120, the result, the second channel information, and the second customized configuration information.
  • the channel information may comprise one or more information, such as a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel etc.
  • a frequency band such as a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel etc.
  • the radio service device 110 may be a the CBSD. In some embodiments, the server 130 may be the cloud server. In some embodiments, the radio service device 110 may obtain the channel information on at least one available channel from the SAS. In some embodiments, customized configuration information associated with the spectrum selection may be configured on the radio service device 110 side by the user.
  • the radio service device 110 may generate a universally unique identifier (UUID) based on the channel information and the customized configuration information, and may search for the spectrum selection record in the database 120 using the UUID.
  • UUID universally unique identifier
  • the UUID generated by the radio service device 110 may be generated based on a message-digest5 (MD5) algorithm.
  • MD5 message-digest5
  • the radio service device 110 may determine the spectrum selection record as a result of the spectrum selection.
  • the spectrum selection record may comprise the result of the spectrum selection in association with the channel information, the customized configuration information, and the UUID.
  • the radio service device 110 may determine the result of the spectrum selection based on the channel information and the customized configuration information by performing a spectrum selection algorithm.
  • the spectrum selection algorithm is a full-permutation recursive algorithm in which at least one check is performed based on at least one condition for the spectrum selection, the at least one condition being indicated by the customized configuration information.
  • the spectrum selection algorithm may further refer to the embodiments as shown in Fig. 9.
  • the radio service device 110 performs the at least one check, specifically, the radio service device 110 may check a candidate spectrum of a cell of the set of cells based on at least one condition for the cell. Alternatively, or additionally, in some embodiments, the radio service device 110 may check a candidate spectrum combination of the set of cells based on at least one condition for the set of cells.
  • the radio service device 110 may store the channel information, the customized configuration information, and the UUID into the database 120.
  • the radio service device 110 may store the result into the database 120 in association with the channel information, the customized configuration information, and the UUID.
  • the server 130 may obtain, from the first channel information and the first customized configuration information, a set of input parameters of a fitting algorithm.
  • the server 130 may generate a fitted curve based on the set of input parameters using the fitting algorithm.
  • the server 130 may determine, based on a point in the fitted curve, a set of output parameters as the one of the second channel information and the second customized configuration information.
  • a random value may be the abscissa of the point, and the ordinate of the point is the output parameter.
  • the first channel information may comprise one or more information, such as a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel etc.
  • a frequency band such as a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel etc.
  • the second channel information may comprise one or more information, such as a frequency band, maxERIP, a RSSI, or a channel type of the at least one predicted available channel etc.
  • the server 130 may determine that a frequency band of the predicted available channel corresponding to the one of the maxERIP, the RSSI, and the channel type of the at least one predicted available channel exists.
  • the server 130 may determine the result of the spectrum selection by performing a full-permutation recursive algorithm.
  • the full-permutation recursive algorithm one or more checks may be performed based on at least one condition for the spectrum selection, the at least one condition may be indicated by the customized configuration information.
  • the server 130 performs the check, specifically, the server 130 may check a candidate spectrum of a cell of the set of cells based on at least one condition for the cell. Alternatively, or additionally, in some embodiments, the server 130 may check a candidate spectrum combination of the set of cells based on at least one condition for the set of cells.
  • the server 130 may generate a universally unique identifier (UUID) based on the second channel information and the second customized configuration information.
  • UUID may be generated based on the message-digest5 (MD5) algorithm.
  • the server 130 may store the UUID into the database 120 in association with the result, the second channel information, and the second customized configuration information.
  • Fig. 3 illustrates schematic diagram of Cloud-CBSD-SAS Architecture according to some embodiments of the present disclosure.
  • the present disclosure introduces a Cloud-CBSD-SAS architecture 300, which creates a database 120 for storage. And the cloud service will be responsible for analyzing the samples in the database 120.
  • the architecture is shown in Fig. 3, in the Cloud-CBSD-SAS architecture, there are n CBSDs (CBSD-1, CBSD-2, ..., CBSD-n) 320, the SAS 310, the database 120 and a cloud server (the Cloud) 330.
  • the CBSD 320 may initiate CBSD registration to the SAS 310 first, the CBSD registration is a procedure by which the CBSD 320 indicates to the SAS 310 its intention to operate.
  • Successful registration implies a validation by the SAS 310 that the CBSD 320 has been FCC certified and confers on the CBSD 320 the right to be authorized by the SAS 310 to operate in accordance with a grant.
  • each CBSD 320 provides a fixed location, unique identifiers (e.g., owner information, device information) , Group membership, and radio-related capabilities.
  • a successful registration procedure concludes with the SAS 310 providing a unique identifier for that CBSD 320.
  • CBSD user is the registered entity that has operational responsibility for the CBSD 320.
  • Fig. 4 illustrates schematic diagram of Cloud-CBSD-SAS Sequence according to some embodiments of the present disclosure.
  • the CBSD 320 After obtaining the available channels from the spectrum inquiry response (SI) , the CBSD 320 first tries to query whether the corresponding frequency selection records are available from a database 120 (details are described in the embodiments below) . If the query fails, spectrum selection is performed inside the CBSD 320 based on an improved spectrum selection algorithm (i.e. the spectrum selection algorithm according to the present disclosure) under complex configuration and the parameters as well as results would be saved to the database 120 after calculation, the sequence 400 is shown as Fig. 4, it involves two interactive processes. The first one involves the interactive process of the CBSD 320, the SAS 310 and the database 120 (referred as the first process below) , and the second one involves the interactive processes of database 120 and cloud (referred as the second process below) .
  • the first process involves the interactive process of the CBSD 320, the SAS 310 and the database 120
  • the second one involves the interactive processes of
  • the CBSD 320 may transmit a spectrum inquiry request to the SAS 310.
  • the SAS 310 may transmit a spectrum inquiry response with available channels to the SAS 310.
  • the CBSD 320 may gather available channels and configurations as parameters.
  • the CBSD 320 may query the database 120 with the generated a UUID, the UUID may be generated based on the available channels and configurations.
  • step 409 is performed.
  • the CBSD 320 may obtain the query result.
  • the query result may comprise a result of a spectrum selection.
  • step 411 is performed.
  • the CBSD 320 may transmit, to the SAS 310, a grant request with the result.
  • step 413 is performed.
  • the CBSD 320 may select spectrum with parameters to generate a result of a spectrum selection.
  • step 415 is performed.
  • the CBSD 320 may save selected result (i.e. the result of the spectrum selection) and the parameters (including the available channels and the configurations) to the database 120.
  • step 417 is performed.
  • the CBSD 320 may transmit, to the SAS 310, a grant request with the result.
  • the subsequent steps after the step that the CBSD 320 transmit the grant request with the result to the SAS 310 are the same as the conventional technique, and are not shown in Fig. 4.
  • the SAS 310 may transmit, to the CBSD 320, a grant response.
  • the grant is authorization provided by the SAS 310 to the CBSD 320, subject to a Heartbeat exchange, to transmit using specified operating parameters. Grants are identified by a unique Grant identifier. Once issued, a Grant’s operating parameters are never changed, if new or modified operating parameters are required, then a new Grant must be obtained.
  • the cloud server 330 fetches data from the database 120.
  • the data fetched from the database 120 may comprise the parameters (including the available channels and the configurations) , and the parameters may be saved in the database 120 by the CBSD 320.
  • the cloud server 330 obtains the fetched data from the database 120.
  • the fetched data may be called as parameter samples, or samples for short.
  • the cloud server 330 may perform curve fitting of all parameter samples.
  • the cloud server 330 may predict possible combination of the parameters by the curve.
  • the cloud server 330 may execute a spectrum select algorithm with the combination of the parameter to generate a result of the spectrum selection.
  • the cloud server 330 may store the predicted parameters and the result in the database 120.
  • the cloud server 330 extracts the data in the database 120 as sample, and the samples would be fitted with fitting algorithm to derive the corresponding fitting curve, which can effectively predict the customized configuration as well as available channels.
  • the algorithm executed in the cloud server (Cloud for short) 330 would calculate with the predicted parameters and save the input/output to the database 120. Details would be further described in the following embodiments.
  • the spectrum selection algorithm may be a common part to be executed both in the CBSD 320 and the cloud server 330 for the calculation of multiple cells’ spectrum assignment under complex condition.
  • the database 120 established for the CBSD 320/Cloud 330 to store the parameters (available channels from SI response and customized configurations) and the spectrum selection result.
  • Cloud 330 would be responsible to analyze the sample and predict then invoke the spectrum selection algorithm to calculate with the parameters, and finally save the parameters and corresponding selection result to database 120.
  • the CBSD 320 after retrieving the available channels from the spectrum inquiry response, the CBSD 320 first tries to query the database 120 for the corresponding frequency selection records.
  • the CBSD 320 would gather all the related configurations and available channels to generate the universally unique identifier (UUID) , the UUID would be the key to query the tables in database 120 and is generated by MD5 algorithm which is represent for all the parameters (available channels from SI response and customized configurations) .
  • Database tables are as shown in Fig. 5.
  • the CBSD 320 will be able to quickly get the result of the corresponding data and consider it as the result of spectrum allocation (i.e. the result of the spectrum selection) . As mentioned above, this would be a very efficient way to obtain the spectrum of multiple cells under complex configuration conditions.
  • the query result is shown as Figure 6.
  • Fig. 7 illustrates schematic diagram of input parameters according to some embodiments of the present disclosure.
  • the input parameters may be divided into three parts: input1, input2 and input3.
  • Input1 is from SI response, with reference to Fig. 4, the SI response is the spectrum inquiry response from the SAS 310 to the CBSD 320.
  • the input1 may be channel information and comprise available channels (specifically, a plurality of frequency bands, for example, 3550-3555, 3555-3560, etc. ) .
  • the input1 may further comprise maximum effective isotropic radiated power (maxERIP) , received signal strength indicator (RSSI) , and channel type of the available channels.
  • Input2 and input3 may be customized configuration information.
  • Fig. 8 illustrates a flowchart 800 of querying results based on the database 120 according to some embodiments of the present disclosure.
  • the process 800 may be performed by the CBSD 320.
  • step 801 based on the inputs as shown in Fig. 7, the CBSD 320 may generate a UUID for configurations.
  • step 803 the CBSD 320 may check if the UUID exists in tables of the database 120. The tables are as shown in Fig.
  • step 805 If the UUID exists in the tables, step 805 is performed, otherwise, step 807 is performed.
  • the CBSD 320 may get result as output from the tables. The results may be as shown in Fig. 6.
  • the CBSD 320 may insert the UUID and related inputs (for example, input1, input2 and input3 mentioned above) into the tables.
  • the CBSD 320 may invoke improved spectrum selection algorithm (i.e. a spectrum selection algorithm proposed in the present disclosure, and will be further described in the embodiments below) to determine a result of the spectrum selection based on the inputs.
  • the CBSD 320 may insert the result to the tables of the database 120.
  • the CBSD 320 may assign channels (frequency range and maxEIRP) to cells. EIRP, i.e. Effective Isotropic Radiated Power.
  • an improved spectrum selection algorithm is proposed.
  • the improved spectrum selection algorithm is based on the full-permutation recursive algorithm, in which several checkers are introduced to filter some conditions to accelerate the spectrum selection procedure.
  • the spectrum selection algorithm is shown as Fig. 9, the process 900 of the algorithm as shown in Fig. 9 may be a common part to be invoked both CBSD 320 side and cloud server 330 to calculate the spectrum assignment result (i.e. the result of the spectrum selection) .
  • inputs of the spectrum selection algorithm may refer to Fig. 7, for example the inputs may comprise channel information on at least one available channel and customized configuration information associated with the spectrum selection, as well as number of the cells.
  • the spectrum selection algorithm can be performed by the CBSD 320 or the cloud server 330.
  • the channel information may be obtained from the SAS 310, and the customized configuration information may be configured on the CBSD 320 side.
  • the spectrum selection algorithm is performed by the cloud server 330
  • the channel information may be the second channel information mentioned above
  • the customized configuration information may be the second customized configuration information mentioned above.
  • the following is an example of the spectrum selection algorithm performed by the CBSD 320.
  • the cloud server 330 can perform the same process as below.
  • a CellIndex is set to 0, a value of the CellIndex corresponds to a cell.
  • the CBSD 320 may initialize available channels.
  • the CBSD 320 may find all the options for Cell-CellIndex according to available channels. There are n options (option1 to option n) for example, as shown in block 9071, block 9072, block 9073, ..., block 907n etc. Each option for the cell may be checked by one or more cellcheckers, for example m cellcheckers, as shown in block 9091, ..., 909m.
  • Each cellchecker is used for perform a check based on one condition for the cell, for example, the cellchecker 1 may perform the check based on the RSSI of the support channel of the cell, and the cellchecker m may perform the check based on the maxERIP of the support channel of the cell.
  • the option is a candidate spectrum of the cell of the set of cells, the candidate spectrum may be a frequency range.
  • occupiedFrequencyRange i.e. the option for the next cell is one option among the remained options.
  • the CBSD 320 For each subsequent cell, performing operation as shown at the block 905 again. As shown at block 910, if CellIndex++, then at block 903, the CBSD 320 will initialize the available channels.
  • the spectrum selection algorithm considers selecting each option for each cell, so that determine a plurality of candidate spectrum combination of the set of cells, that is, for example, in one candidate spectrum combination, the option for a cell 1 (the cell 1 may be any of the set of cells) is option 1, and in another candidate spectrum combination, the option for the cell 1 may be an option different from or same as the option 1.
  • the CBSD 320 may determine whether a BestResult exists, the BestResult represents a determined optimal candidate spectrum combination of the set of cells. If there is no bestresult, then at block 923, currentresult is saved to BestResult. If there is a BestResult, then the current candidate spectrum combination (i.e. CurrentResult) may be compared with the existed BestResult, and if the current candidate spectrum combination is better than the existed BestResult, then the BestResult may be updated with the CurrentResult, as shown at block 925.
  • the comparison may be performed by one or more comparer, at blocks 9231...923j, j comparers are shown as an example. The comparison may be performed based on some comparison criterion, for example, the criteria may be defined according to requirements.
  • the final BestResult as the result of the spectrum selection may be stored in the database.
  • Fig. 10A, 10B, 10C, 10D and 10E as a whole, illustrates a flowchart 1000 of prediction for available channels and related parameters according to some embodiments of the present disclosure.
  • the process 1000 is as shown in Fig. 10A, 10B, 10C, 10D and 10E, the cloud server 330 retrieves the data present in the database 120 as a sample and fits the sample with a fitting algorithm, which effectively makes a prediction of the customized configuration as well as the available channels.
  • the process 1000 may be performed regularly in the cloud server 330 and will compute with the parameters and save them in the database 120.
  • available channels represent the spectrum range for the assignment and each section of the spectrum has its own maximum effective isotropic radiated power (maxERIP) , channel type (PAL (Priority Access License) /GAA (General Authorized Access) ) , received signal strength indicator (RSSI) .
  • maximum effective isotropic radiated power maxERIP
  • PAL Primary Access License
  • GAA General Authorized Access
  • RSSI received signal strength indicator
  • An example for available channels may refer to input1 in Fig. 7.
  • the cloud server 330 performs a prediction algorithm program comprising the following steps.
  • the cloud server 330 fetches parameters from tables in the database 120, in the process 1000, for example fetches support channels.
  • the parameter (s) from tables in the database 120 may be referred as first channel information on available channel (s) and first customized configuration information associated with spectrum selection for a set of cells.
  • the support channel can be referred as frequency band of the available channel.
  • the cloud server 330 creates a list: [x, y] .
  • Each of the channels may be transformed to 30 bits, each bit is for 5M.
  • the values corresponding to 30bit corresponding to all channels are arranged in ascending order to determine the y.
  • the selected value of the y may be marked as y'.
  • available channel corresponds to the y’ for each channel in y.
  • available channel corresponding to the y’ may be referred as frequency band of predicted available channel.
  • the algorithms of the sub-processes 1000a, 1000b, 1000c are similar, as shown in Fig. 10B, 10C and 10D. Take the sub-process 1000a as an example to illustrate herein.
  • the sub-processes 1000a, 1000b, 1000c are executed independently, and the step number does not indicate the execution sequence among the three sub-processes.
  • the cloud server 330 fetches support channel’s maxEIRP (s) from the tables of the database 120.
  • the cloud server 330 creates a list: [x, y] .
  • the fetched maxEIRP (s) are arranged in ascending order to determine the y.
  • the x may be valued as X0 to Xm, the m may be the number of samples, for example, the number of the fetched maxEIRP (s) .
  • the selected value of the y may be marked as y'.
  • the maxEIRP corresponds to the y’ of this channel.
  • the maxEIRP corresponds to the y’ of this channel may be referred as the maxERIP of predicted available channel.
  • the sub-processes 1000b comprising steps 1023, 1025, 1027, 1029, 1031
  • the sub-processes 1000c comprising steps 1033, 1035, 1037, 1039, 1041
  • the cloud server 330 fetches next parameter from input-table of the database 120.
  • the cloud server 330 determines whether the next parameter is not null, and if yes, then performs step 1049, otherwise (if no) , performs step 1047.
  • the cloud server 330 fetches all the parameters as the example and executes the spectrum selection algorithm with parameters as inputs.
  • the cloud server 330 fetches support associated parameter, and then in step 1051, the cloud server 330 performs the same process as the process 1000 above.
  • cloud service would invoke the spectrum selection algorithm to get the result of the spectrum selection and save them to database 120.
  • the cloud service will keep running the entire program, and over time, the predictions will become more and more accurate. And once the operator has its own preferred configuration commission to CBSD 320, the possibility of being able to access spectrum selection results from the database 120 is increasing.
  • Fig. 11 illustrates a flowchart of a method 1100 implemented at a radio service device 110 according to some embodiments of the present disclosure.
  • the radio service device 110 may obtain, for spectrum selection for a set of cells supported by the radio service device 110, channel information on at least one available channel and customized configuration information associated with the spectrum selection.
  • the radio service device 110 may search for, in a database 120, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • the radio service device 110 may generate a universally unique identifier (UUID) based on the channel information and the customized configuration information, and may search for the spectrum selection record in the database 120 using the UUID.
  • UUID universally unique identifier
  • the UUID may be generated based on a message-digest5 (MD5) algorithm.
  • MD5 message-digest5
  • the radio service device 110 may determine the spectrum selection record as a result of the spectrum selection.
  • the radio service device 110 may determine a result of the spectrum selection based on the channel information and the customized configuration information by performing a spectrum selection algorithm.
  • the radio service device 110 may store the channel information, the customized configuration information, and the UUID into the database 120.
  • the radio service device 110 may store the result into the database 120 in association with the channel information, the customized configuration information, and the UUID.
  • the spectrum selection algorithm can be a full-permutation recursive algorithm in which at least one check is performed based on at least one condition for the spectrum selection, the at least one condition may be indicated by the customized configuration information.
  • the radio service device 110 may perform the at least one check based on the at least one condition by checking a candidate spectrum of a cell of the set of cells based on at least one condition for the cell, alternatively, or additionally, by checking a candidate spectrum combination of the set of cells based on at least one condition for the set of cells.
  • the channel information may comprise a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel.
  • the channel information may comprise a variety of information above.
  • Fig. 12 illustrates a flowchart of a method 1200 implemented at a server 130 according to some other embodiments of the present disclosure.
  • the server 130 may obtain, from a database 120, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells.
  • the server 130 may generate, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection.
  • the server 130 may determine a result of the spectrum selection based on the second channel information and the second customized configuration information.
  • the server 130 may store, in the database 120, the result, the second channel information, and the second customized configuration information.
  • the server 130 may obtain, from the first channel information and the first customized configuration information, a set of input parameters of a fitting algorithm, the server 130 may generate a fitted curve based on the set of input parameters using the fitting algorithm, and then the server 130 may determine, based on a point in the fitted curve, a set of output parameters as the one of the second channel information and the second customized configuration information.
  • the first channel information may comprise a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel.
  • the first channel information may comprise a variety of information above.
  • the second channel information may comprise a frequency band, maxERIP, a RSSI, or a channel type of the at least one predicted available channel. In some embodiments, the second channel information may comprise a variety of information above.
  • the server 130 may determine that a frequency band of the predicted available channel corresponding to the one of the maxERIP, the RSSI, and the channel type of the at least one predicted available channel exists.
  • the server 130 may determine the result by performing a full-permutation recursive algorithm in which at least one check is performed based on at least one condition for the spectrum selection.
  • the at least one condition may be indicated by the customized configuration information.
  • the server 130 may perform the at least one check based on the at least one condition by checking a candidate spectrum of a cell of the set of cells based on at least one condition for the cell, alternatively, or additionally, by checking a candidate spectrum combination of the set of cells based on at least one condition for the set of cells.
  • the server 130 may generate a universally unique identifier (UUID) based on the second channel information and the second customized configuration information.
  • UUID universally unique identifier
  • the UUID is generated based on a message-digest5 (MD5) algorithm.
  • MD5 message-digest5
  • the server 130 may store the UUID into the database 120 in association with the result, the second channel information, and the second customized configuration information.
  • an apparatus capable of performing any of the method 1100 may comprise means for performing the respective steps of the method 1100.
  • the means may be implemented in any suitable form.
  • the means may be implemented in a circuitry or software module.
  • the apparatus comprises means for obtaining, at a radio service device 110 and for spectrum selection for a set of cells supported by the radio service device 110, channel information on at least one available channel and customized configuration information associated with the spectrum selection; and means for searching for, in a database 120, a spectrum selection record corresponding to the channel information and the customized configuration information.
  • the means for searching for the spectrum selection record comprises means for generating a universally unique identifier (UUID) based on the channel information and the customized configuration information; and means for searching for the spectrum selection record in the database 120 using the UUID.
  • UUID universally unique identifier
  • the UUID is generated based on a message-digest5 (MD5) algorithm.
  • MD5 message-digest5
  • the apparatus further comprises means for based on determining that the spectrum selection record is found in the database 120, determining the spectrum selection record as a result of the spectrum selection.
  • the apparatus further comprises means for based on determining that the spectrum selection record is not found in the database 120, determining a result of the spectrum selection based on the channel information and the customized configuration information by performing a spectrum selection algorithm.
  • the apparatus further comprises means for based on determining that the spectrum selection record is not found in the database 120, storing the channel information, the customized configuration information, and the UUID into the database 120.
  • the apparatus further comprises means for based on determining the result of the spectrum selection, storing the result into the database 120 in association with the channel information, the customized configuration information, and the UUID.
  • the spectrum selection algorithm is a full-permutation recursive algorithm in which at least one check is performed based on at least one condition for the spectrum selection, the at least one condition being indicated by the customized configuration information.
  • the radio service device 110 comprises means for performing the at least one check based on the at least one condition
  • the means for performing the at least one check based on the at least one condition comprises means for checking a candidate spectrum of a cell of the set of cells based on at least one condition for the cell; or means for checking a candidate spectrum combination of the set of cells based on at least one condition for the set of cells; or both of the means for checking a candidate spectrum of a cell of the set of cells based on at least one condition for the cell and the means for checking a candidate spectrum combination of the set of cells based on at least one condition for the set of cells.
  • the channel information comprises a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel, or a variety of information above.
  • maxERIP maximum effective isotropic radiated power
  • RSSI received signal strength indicator
  • the apparatus further comprises means for performing other steps in some embodiments of the method 1100.
  • the means comprises at least one processor and at least one memory including computer program code, the at least one memory and computer program code configured to, with the at least one processor, cause the performance of the apparatus.
  • an apparatus capable of performing any of the method 1200 may comprise means for performing the respective steps of the method 1200.
  • the means may be implemented in any suitable form.
  • the means may be implemented in a circuitry or software module.
  • the apparatus comprises means for obtaining, at a server 130 and from a database 120, first channel information on at least one available channel and first customized configuration information associated with spectrum selection for a set of cells; means for generating, based on the first channel information and the first customized configuration information, second channel information on at least one predicted available channel and second customized configuration information predicted for the spectrum selection; means for determining a result of the spectrum selection based on the second channel information and the second customized configuration information; and means for storing, in the database 120, the result, the second channel information, and the second customized configuration information.
  • the means for generating one of the second channel information and the second customized configuration information comprises means for obtaining, from the first channel information and the first customized configuration information, a set of input parameters of a fitting algorithm; means for generating a fitted curve based on the set of input parameters using the fitting algorithm; and means for determining, based on a point in the fitted curve, a set of output parameters as the one of the second channel information and the second customized configuration information.
  • the first channel information comprises at least one of a frequency band, maximum effective isotropic radiated power (maxERIP) , a received signal strength indicator (RSSI) , or a channel type of the at least one available channel; and the second channel information comprises at least one of a frequency band, maxERIP, a RSSI, or a channel type of the at least one predicted available channel.
  • maxERIP maximum effective isotropic radiated power
  • RSSI received signal strength indicator
  • the server 130 further comprises means for prior to generating one of the maxERIP, the RSSI, and the channel type of the at least one predicted available channel, determining that a frequency band of the predicted available channel corresponding to the one of the maxERIP, the RSSI, and the channel type of the at least one predicted available channel exists.
  • the means for determining the result comprises means for performing a full-permutation recursive algorithm in which at least one check is performed based on at least one condition for the spectrum selection, the at least one condition being indicated by the customized configuration information.
  • the means for performing the at least one check based on the at least one condition comprises means for checking a candidate spectrum of a cell of the set of cells based on at least one condition for the cell, or means for checking a candidate spectrum combination of the set of cells based on at least one condition for the set of cells, or both of the means for checking a candidate spectrum of a cell of the set of cells based on at least one condition for the cell and the means for checking a candidate spectrum combination of the set of cells based on at least one condition for the set of cells.
  • the server 130 further comprises means for generating a universally unique identifier (UUID) based on the second channel information and the second customized configuration information.
  • UUID universally unique identifier
  • the UUID is generated based on a message-digest5 (MD5) algorithm.
  • MD5 message-digest5
  • the server 130 further comprises means for storing the UUID into the database 120 in association with the result, the second channel information, and the second customized configuration information.
  • the apparatus further comprises means for performing other steps in some embodiments of the method 1200.
  • the means comprises at least one processor and at least one memory including computer program code, the at least one memory and computer program code configured to, with the at least one processor, cause the performance of the apparatus.
  • Fig. 13 is a simplified block diagram of a device 1300 that is suitable for implementing embodiments of the present disclosure.
  • the device 1300 may be provided to implement the communication device, for example the radio service device 110, or the server 130 as shown in Fig. 1.
  • the device 1300 includes one or more processors 1310, one or more memories 1320 coupled to the processor 1310, and one or more communication modules 1340 coupled to the processor 1310.
  • the communication module 1340 is for bidirectional communications.
  • the communication module 1340 has at least one antenna to facilitate communication.
  • the communication interface may represent any interface that is necessary for communication with other network elements.
  • the processor 1310 may be of any type suitable to the local technical network and may include one or more of the following: general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on multicore processor architecture, as non-limiting examples.
  • the device 1300 may have multiple processors, such as an application specific integrated circuit chip that is slaved in time to a clock which synchronizes the main processor.
  • the memory 1320 may include one or more non-volatile memories and one or more volatile memories.
  • the non-volatile memories include, but are not limited to, a Read Only Memory (ROM) 1324, an electrically programmable read only memory (EPROM) , a flash memory, a hard disk, a compact disc (CD) , a digital video disk (DVD) , and other magnetic storage and/or optical storage.
  • the volatile memories include, but are not limited to, a random access memory (RAM) 1322 and other volatile memories that will not last in the power-down duration.
  • a computer program 1330 includes computer executable instructions that are executed by the associated processor 1310.
  • the program 1330 may be stored in the ROM 1020.
  • the processor 1310 may perform any suitable actions and processing by loading the program 1330 into the RAM 1322.
  • the embodiments of the present disclosure may be implemented by means of the program 1330 so that the device 1300 may perform any process of the disclosure as discussed with reference to Figs. 2 to 12.
  • the embodiments of the present disclosure may also be implemented by hardware or by a combination of software and hardware.
  • the program 1330 may be tangibly contained in a computer readable medium which may be included in the device 1300 (such as in the memory 1320) or other storage devices that are accessible by the device 1300.
  • the device 1300 may load the program 1330 from the computer readable medium to the RAM 1322 for execution.
  • the computer readable medium may include any types of tangible non-volatile storage, such as ROM, EPROM, a flash memory, a hard disk, CD, DVD, and the like.
  • Fig. 14 shows an example of the computer readable medium 1400 in form of CD or DVD.
  • the computer readable medium has the program 1330 stored thereon.
  • various embodiments of the present disclosure may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device. While various aspects of embodiments of the present disclosure are illustrated and described as block diagrams, flowcharts, or using some other pictorial representations, it is to be understood that the block, apparatus, system, technique or method described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
  • the present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer readable storage medium.
  • the computer program product includes computer-executable instructions, such as those included in program modules, being executed in a device on a target real or virtual processor, to carry out the method 1100 or 1200 as described above with reference to Figs. 2-12.
  • program modules include routines, programs, libraries, objects, classes, components, data structures, or the like that perform particular tasks or implement particular abstract data types.
  • the functionality of the program modules may be combined or split between program modules as desired in various embodiments.
  • Machine-executable instructions for program modules may be executed within a local or distributed device. In a distributed device, program modules may be located in both local and remote storage media.
  • Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowcharts and/or block diagrams to be implemented.
  • the program code may execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
  • the computer program codes or related data may be carried by any suitable carrier to enable the device, apparatus or processor to perform various processes and operations as described above.
  • Examples of the carrier include a signal, computer readable medium, and the like.
  • the computer readable medium may be a computer readable signal medium or a computer readable storage medium.
  • a computer readable medium may include but not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the computer readable storage medium would include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM) , a read-only memory (ROM) , an erasable programmable read-only memory (EPROM or Flash memory) , an optical fiber, a portable compact disc read-only memory (CD-ROM) , an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
  • non-transitory is a limitation of the medium itself (i.e., tangible, not a signal) as opposed to a limitation on data storage persistency (e.g., RAM vs. ROM) .

Landscapes

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

Abstract

Des modes de réalisation de la présente divulgation concernent une communication radio efficace et rapide. Dans les modes de réalisation, un dispositif de service radio obtient, pour une sélection de spectres destinée à un ensemble de cellules prises en charge par le dispositif de service radio, des informations de canal concernant au moins un canal disponible et des informations de configuration personnalisées associées à la sélection de spectres, et recherche, dans une base de données, un enregistrement de sélection de spectres correspondant aux informations de canal et aux informations de configuration personnalisées. De cette manière, une sélection de fréquences destinée à l'ensemble de cellules prises en charge par le dispositif de service radio peut être accélérée.
PCT/CN2022/137347 2022-12-07 2022-12-07 Communication radio efficace et rapide WO2024119416A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2022/137347 WO2024119416A1 (fr) 2022-12-07 2022-12-07 Communication radio efficace et rapide

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2022/137347 WO2024119416A1 (fr) 2022-12-07 2022-12-07 Communication radio efficace et rapide

Publications (1)

Publication Number Publication Date
WO2024119416A1 true WO2024119416A1 (fr) 2024-06-13

Family

ID=91378298

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/137347 WO2024119416A1 (fr) 2022-12-07 2022-12-07 Communication radio efficace et rapide

Country Status (1)

Country Link
WO (1) WO2024119416A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130336175A1 (en) * 2012-06-14 2013-12-19 Electronics And Telecommunications Research Institute Method and apparatus for duplex in cognitive radio communication system
CN103634799A (zh) * 2012-08-27 2014-03-12 电信科学技术研究院 一种基于认知无线电系统的频谱分配方法和设备
US20140162585A1 (en) * 2012-11-28 2014-06-12 Syracuse University Dynamic spectrum trading using interference profiling
CN103916865A (zh) * 2012-12-31 2014-07-09 中兴通讯股份有限公司 用于频谱共享的集成的无线局域网
CN113424566A (zh) * 2019-02-15 2021-09-21 高通股份有限公司 用于共享无线电频谱信道配置的技术

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130336175A1 (en) * 2012-06-14 2013-12-19 Electronics And Telecommunications Research Institute Method and apparatus for duplex in cognitive radio communication system
CN103634799A (zh) * 2012-08-27 2014-03-12 电信科学技术研究院 一种基于认知无线电系统的频谱分配方法和设备
US20140162585A1 (en) * 2012-11-28 2014-06-12 Syracuse University Dynamic spectrum trading using interference profiling
CN103916865A (zh) * 2012-12-31 2014-07-09 中兴通讯股份有限公司 用于频谱共享的集成的无线局域网
CN113424566A (zh) * 2019-02-15 2021-09-21 高通股份有限公司 用于共享无线电频谱信道配置的技术

Similar Documents

Publication Publication Date Title
US11528776B2 (en) Wireless device power saving for multi-TRP transmissions
US11310799B2 (en) Identifying a beam in 5G wireless communication systems
WO2024119416A1 (fr) Communication radio efficace et rapide
US20220377579A1 (en) Controlling of network function
US20220174557A1 (en) Exchanging capability information
US11627503B2 (en) Intelligent dual-connectivity in 5G non-standalone mode
US20240064512A1 (en) Usage of access token in service based architecture
EP4384922A1 (fr) Isolement de données de gestion
WO2020210957A1 (fr) Sélection de cellule dans un réseau de communication à fréquences multiples
WO2024026852A1 (fr) Optimisation d'entrée de mesure spécifique à une tâche
US20240314557A1 (en) Network repository function services access authorization
EP4322039A1 (fr) Validation de fonction de réseau
WO2023216032A1 (fr) Communication de sécurité dans un relais u2n prose
WO2023070340A1 (fr) Commande de politique de fonction de référentiel de réseau pour différents réseaux mobiles terrestres publics
US20240080834A1 (en) Uplink Skipping
US12074948B1 (en) Distributed and federated radio access network configuration management
WO2023225923A1 (fr) Activation de retransmission de transmission initiale de cg-sdt
WO2023225996A1 (fr) Prédiction des performances de démarrage d'un dispositif de communication
US20230107338A1 (en) Dynamic signaling for measurement gap
WO2024094560A1 (fr) Resélection de cellules basée sur une tranche de réseau
US20230146999A1 (en) Time domain resource allocation for multicast broadcast service
US20240073922A1 (en) DCI Size Alignment Method and Device
WO2024092844A1 (fr) Utilisation d'un indicateur de routage
WO2023216180A1 (fr) Coordination de chemins de plan utilisateur redondants sur la base de multiples dispositifs terminaux par groupe de dispositifs terminaux
WO2021213320A1 (fr) Procédé de gestion de point d'accès wi-fi, dispositif électronique, et support de stockage

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: 22967576

Country of ref document: EP

Kind code of ref document: A1