CN111212445A - Safety state information processing method and system based on neural network - Google Patents
Safety state information processing method and system based on neural network Download PDFInfo
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Abstract
The invention discloses a safety state information processing method based on a neural network, which comprises the following steps: acquiring security state related information of a user; establishing communication connection with a base station; configuring, by the base station, the wireless terminal to perform measurements on the unlicensed spectrum cell in response to establishing the communication connection with the base station; in response to being configured to measure unlicensed spectrum cells, measuring the unlicensed spectrum cells and generating a measurement report at the wireless terminal side based on the measurement result; transmitting a measurement report of a wireless terminal side to a base station; selecting, by the base station, a secondary carrier located in an unlicensed spectrum based at least in part on the measurement report at the wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier; in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier, the acquired security state related information of the user is transmitted to the base station via the carrier on the licensed spectrum and the secondary carrier of the unlicensed spectrum.
Description
Technical Field
The present invention relates to the field of security management technologies, and in particular, to a method and a system for processing security state information based on a neural network.
Background
The "safe state" represents the safe state of the living environment in which the person is located. The safety state information is all safety-related things such as environment, facilities and organizations related to people, and includes all safety state-related information such as natural disasters, criminal behaviors and traffic accidents.
The prior art CN106778583B is a vehicle attribute identification method based on a convolutional neural network. The method mainly comprises the following steps: and training a convolutional neural network by using the sample image to obtain an image of the vehicle to be identified, identifying the image of the vehicle by using the trained convolutional neural network, and obtaining the model, body color and abnormal behavior attribute of the driver of the vehicle.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a safety state information processing method and system based on a neural network, which can overcome the defects of the prior art.
In order to achieve the above object, the present invention provides a method for processing security information based on a neural network, which is characterized in that: the safety state information processing method based on the neural network comprises the following steps:
acquiring security state related information of a user by a wireless terminal;
establishing, by a wireless terminal, a communication connection with a base station, wherein the wireless terminal and the base station communicate on a licensed spectrum cell;
configuring, by the base station, the wireless terminal to perform measurements on the unlicensed spectrum cell in response to establishing the communication connection with the base station;
in response to being configured to measure unlicensed spectrum cells, measuring, by the wireless terminal, the unlicensed spectrum cells and generating a measurement report at the wireless terminal side based on the measurement result;
transmitting, by the wireless terminal, a measurement report of the wireless terminal side to the base station;
selecting, by the base station, a secondary carrier located in an unlicensed spectrum based at least in part on the measurement report at the wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier;
transmitting, by the wireless terminal, the acquired security state related information of the user to the base station via the carrier on the licensed spectrum and the secondary carrier of the unlicensed spectrum in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier;
the base station sends the acquired safety state related information of the user to a safety center;
and in response to receiving the acquired safety state related information of the user, judging whether the user is in a safety state or not by the safety center based on a genetic algorithm.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
performing, by a base station, interference measurements on secondary carriers located in an unlicensed spectrum prior to configuring, by the base station, the wireless terminal to perform measurements on the unlicensed spectrum cells;
generating, by the base station, a measurement report on a base station side in response to completing the interference measurement on the secondary carrier located in the unlicensed spectrum;
the method for measuring the unlicensed spectrum cell by the wireless terminal configured by the base station specifically comprises the following steps:
transmitting, by a base station, a measurement configuration message to a wireless terminal, wherein the measurement configuration message indicates to the wireless terminal at least: a center frequency at which the secondary carrier is to be measured by the wireless terminal, a bandwidth occupied by the secondary carrier to be measured by the wireless terminal, and a measurement mode.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
in response to receiving the measurement configuration message, the wireless terminal judges the center frequency of the auxiliary carrier to be measured, the bandwidth occupied by the auxiliary carrier to be measured and the measurement mode of the measurement to be performed;
if the measurement mode of the measurement to be carried out is judged to be the first measurement mode, the wireless terminal starts to monitor the signal strength on the auxiliary carrier at the beginning of each first measurement period and generates a Received Signal Strength Indicator (RSSI);
continuously monitoring the signal strength on the auxiliary carrier within a first time length by the wireless terminal, and averaging the generated RSSI based on the first time length to obtain a first RSSI average value;
transmitting, by the wireless terminal, the first RSSI average value to the base station;
in response to receiving the first RSSI average value, the base station determines whether the interference on the auxiliary carrier is greater than an interference threshold and whether the first RSSI average value is greater than an RSSI threshold value;
if the interference on the secondary carrier is less than the interference threshold and the first RSSI average value is greater than the RSSI threshold value, transmitting a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier by the base station.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
if the measurement mode of the measurement to be carried out is judged to be the second measurement mode, the wireless terminal starts to monitor the signal strength on the auxiliary carrier at the beginning of each second measurement period and generates a Received Signal Strength Indicator (RSSI);
continuously monitoring the signal strength of the auxiliary carrier wave by the wireless terminal in a second time length, and averaging the generated RSSI based on the second time length to obtain a second RSSI average value;
transmitting, by the wireless terminal, the second RSSI average value to the base station;
in response to receiving the second RSSI average value, the base station determines whether the interference on the auxiliary carrier is greater than an interference threshold and whether the second RSSI average value is greater than an RSSI threshold value;
and if the interference on the auxiliary carrier is less than the interference threshold and the second RSSI average value is greater than the RSSI threshold value, transmitting a synchronization signal and a demodulation reference signal to the wireless terminal on the auxiliary carrier by the base station, wherein the time length of the second measurement period is less than the time length of the first measurement period, and the second time length is less than the first time length.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
if the measurement mode of the measurement to be carried out is judged to be the third measurement mode, the wireless terminal determines the RSSI threshold value indicated in the measurement configuration message;
beginning to monitor signal strength on the auxiliary carrier at the beginning of each first measurement period and generating a Received Signal Strength Indication (RSSI);
the wireless terminal continuously monitors the signal strength on the auxiliary carrier within a first time length and records the time length that the RSSI of the signal is greater than the RSSI threshold value;
continuously monitoring the signal strength on the auxiliary carrier within a first time length by the wireless terminal, and averaging the generated RSSI based on the first time length to obtain a first RSSI average value;
the wireless terminal sends the first RSSI average value and the time length of the RSSI of the signal greater than the RSSI threshold value to the base station;
in response to receiving the first RSSI average value and the length of time that the RSSI of the signal is greater than the RSSI threshold value, the base station determines whether the interference on the auxiliary carrier is greater than an interference threshold, whether the first RSSI average value is greater than the RSSI threshold value, and whether the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than the length of time threshold value;
if the interference on the secondary carrier is less than the interference threshold, and the first RSSI average value is greater than the RSSI threshold value and the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than the length of time threshold value, then transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier.
The invention provides a safety state information processing system based on a neural network, which is characterized in that: the safety state information processing system based on the neural network comprises:
means for obtaining, by a wireless terminal, security state related information for a user;
means for establishing, by a wireless terminal, a communication connection with a base station, wherein the wireless terminal and the base station communicate on a licensed spectrum cell;
means for configuring, by a base station, a wireless terminal to perform measurements on unlicensed spectrum cells in response to establishing a communication connection with the base station;
means for, in response to being configured to measure unlicensed spectrum cells, measuring, by the wireless terminal, the unlicensed spectrum cells and generating a measurement report at the wireless terminal side based on the measurement result;
means for transmitting, by the wireless terminal, a measurement report at the wireless terminal side to the base station;
means for selecting, by a base station, a secondary carrier located in an unlicensed spectrum based at least in part on a measurement report at a wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier;
means for transmitting, by the wireless terminal, the acquired security state related information for the user to the base station via a carrier on a licensed spectrum and a secondary carrier of an unlicensed spectrum in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier;
a unit for transmitting the acquired security state related information of the user to a security center by the base station;
and a unit for judging, by the security center, whether the user is in a secure state based on a genetic algorithm in response to receiving the acquired security state-related information of the user.
In a preferred embodiment, the neural network-based secure state information processing system includes:
means for performing, by a base station, interference measurements for a secondary carrier located in an unlicensed spectrum prior to configuring, by a base station, measurements by a wireless terminal on unlicensed spectrum cells;
means for generating, by the base station, a measurement report on a base station side in response to completing interference measurements for a secondary carrier located in an unlicensed spectrum;
the method for measuring the unlicensed spectrum cell by the wireless terminal configured by the base station specifically comprises the following steps:
transmitting, by a base station, a measurement configuration message to a wireless terminal, wherein the measurement configuration message indicates to the wireless terminal at least: a center frequency at which the secondary carrier is to be measured by the wireless terminal, a bandwidth occupied by the secondary carrier to be measured by the wireless terminal, and a measurement mode.
In a preferred embodiment, the neural network-based secure state information processing system includes:
means for determining, by the wireless terminal, a center frequency at which the secondary carrier to be measured is located, a bandwidth occupied by the secondary carrier to be measured, and a measurement mode of the measurement to be made in response to receiving the measurement configuration message;
means for, if it is determined that the measurement mode of the measurement to be performed is the first measurement mode, beginning, by the wireless terminal, monitoring signal strength on the secondary carrier at the beginning of each first measurement period and generating a received signal strength indication, RSSI;
means for continuously monitoring, by the wireless terminal, signal strength on the secondary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
means for transmitting, by the wireless terminal, the first RSSI average value to the base station;
means for determining, by the base station, whether interference on the auxiliary carrier is greater than an interference threshold and whether the first RSSI average is greater than an RSSI threshold in response to receiving the first RSSI average;
means for transmitting, by the base station, a synchronization signal and a demodulation reference signal on the secondary carrier to the wireless terminal if the interference on the secondary carrier is less than the interference threshold and the first RSSI average is greater than the RSSI threshold value.
In a preferred embodiment, the neural network-based secure state information processing system includes:
a unit for monitoring, by the wireless terminal, the signal strength on the secondary carrier at the start of each second measurement period and generating a received signal strength indication, RSSI, if it is determined that the measurement mode of the measurement to be performed is the second measurement mode;
means for continuously monitoring, by the wireless terminal, signal strength on the auxiliary carrier for a second length of time, and averaging the generated RSSI based on the second length of time to obtain a second RSSI average;
means for transmitting, by the wireless terminal, the second RSSI average value to the base station;
means for determining, by the base station, whether interference on the auxiliary carrier is greater than an interference threshold and whether the second RSSI average is greater than an RSSI threshold in response to receiving the second RSSI average;
means for transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier if the interference on the secondary carrier is less than an interference threshold and a second RSSI average is greater than an RSSI threshold value, wherein a length of time of the second measurement period is less than a length of time of the first measurement period and the second length of time is less than the first length of time.
In a preferred embodiment, the neural network-based secure state information processing system includes:
a unit configured to determine, by the wireless terminal, an RSSI threshold value indicated in the measurement configuration message if it is determined that the measurement mode of the measurement to be performed is the third measurement mode;
means for beginning to monitor signal strength on the secondary carrier at the beginning of each first measurement period and generating a received signal strength indication, RSSI;
a unit for the wireless terminal to continuously monitor the signal strength on the auxiliary carrier within a first time period and record the time period that the RSSI of the signal is greater than the RSSI threshold value;
means for continuously monitoring, by the wireless terminal, signal strength on the secondary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
means for transmitting, by the wireless terminal, the first RSSI average value and a length of time that the RSSI of the signal is greater than the RSSI threshold value to the base station;
a unit for determining, by the base station, whether the interference on the auxiliary carrier is greater than an interference threshold, whether the first RSSI average value is greater than an RSSI threshold, and whether the length of time that the RSSI of the signal is greater than the RSSI threshold is greater than the length of time threshold in response to receiving the first RSSI average value and the length of time that the RSSI of the signal is greater than the RSSI threshold;
means for transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier if the interference on the secondary carrier is less than the interference threshold, and the first RSSI average is greater than the RSSI threshold value and the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than the length of time threshold value.
Compared with the prior art, the invention has the following advantages: personal and property safety has always been the focus of attention of people, and in order to meet the requirements of people, many companies have launched their security products. The traditional security products have the following problems: the traditional security effect is in direct proportion to the input manpower, so that the security effect can be improved only by inputting a large amount of manpower and material resources, which is an unrealistic method under the condition that the current human resource price is higher and higher; in addition, any security product is no exception, and needs to monitor the privacy of the user to some extent, but the traditional security product additionally needs to monitor the privacy of the user properly by others to realize security protection. In order to change the current situation of the current safety protection field, the application provides a safety state information processing method and system based on a neural network.
Drawings
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention.
Fig. 2 is a block diagram of a wireless terminal and a base station according to an embodiment of the invention.
Fig. 3 is a functional block diagram of a wireless terminal according to an embodiment of the present invention.
FIG. 4 is a flow diagram of a method according to an embodiment of the invention.
Fig. 5 is a timing diagram of a first measurement mode, a second measurement mode, and a third measurement mode according to an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention. As shown in the figure, the wireless terminal of the present invention can communicate with the base station through a conventional Carrier Aggregation (CA) technique, where an example of one uplink carrier and two downlink carriers is shown in the figure, where the two downlink carriers implement downlink carrier aggregation, one of the two downlink carriers is an anchor carrier, the anchor carrier is also referred to as a primary cell (primary cell), and the other downlink carrier is a secondary carrier, also referred to as a secondary cell (secondary cell), and for the carrier aggregation technique, reference may be made to LTE-a related standard documents, which is not described herein again. Wireless terminals are also able to communicate with the base station via carriers that are located in unlicensed spectrum (various countries may specify unlicensed spectrum, which refers to spectrum that may be freely used without the country issuing licenses, such as the ISM band of the united states, in compliance with transmit power restrictions).
Fig. 2 shows an apparatus block diagram of the base station 110 and the wireless terminal 120. The base station 110 is equipped with T antennas 234a through 234T and the wireless terminal 120 may be equipped with R antennas 252a through 252R. Base station 110 includes a transmit processor 220 that receives data from data sources 212 of one or more wireless terminals. A Transmit (TX) multiple-input multiple-output (MIMO) processor 230 may perform spatial processing (e.g., precoding) on the data symbols, the control symbols, the overhead symbols, and/or the reference symbols. Each modulator 232 may process a respective output symbol stream (e.g., for OFDM, etc.) to obtain an output sample stream. T downlink signals from modulators 232a through 232T may be transmitted via T antennas 234a through 234T, respectively. At wireless terminal 120, antennas 252a through 252r may receive downlink signals from base station 110 and/or other base stations and may provide received signals to demodulators (DEMODs) 254a through 254r, respectively. MIMO detector 256 may obtain received symbols from all R demodulators 254a through 254R. A receive processor 258 may process (e.g., demodulate and decode) the detected symbols, provide decoded data for wireless terminal 120 to a data sink 260, and provide decoded control information and system information to a controller/processor 280. On the uplink, at wireless terminal 120, a transmit processor 264 may receive and process data from a data source 262 and control information (e.g., for reports including RSRP, RSSI, RSRQ, CQI, etc.) from a controller/processor 280. The symbols from transmit processor 264 may be precoded by a TX MIMO processor 266, further processed by demodulators 252a through 254r (e.g., for SC-FDM, OFDM, etc.), and transmitted to base station 110. At base station 110, the uplink signals from wireless terminal 120 and other wireless terminals may be received by antennas 234, processed by demodulators 232, detected by a MIMO detector 236 (if applicable), and further processed by a receive processor 238 to obtain the decoded data and control information sent by wireless terminal 120. Processor 238 may provide decoded data to a data sink 239 and decoded control information to controller/processor 240. The base station 110 may include a communication unit 244 and communicate with the network controller 130 via the communication unit 244. Network controller 130 may include a communication unit 294, a controller/processor 290, and a memory 292. Also included in fig. 2 are controller/processor 240, scheduler 246, modulator/demodulator 232, and/or antenna 234, which may be configured to perform the operations mentioned and described. At the wireless terminal, the controller/processor 280, modulator/demodulator 254, and antenna 252 may be configured to perform the operations mentioned and described. Memories 242 and 282 may store data and program codes for base station 110 and wireless terminal 120, respectively. A scheduler 246 may schedule wireless terminals for data transmission on the downlink and/or uplink.
Fig. 3 is a functional block diagram of a first wireless terminal according to an embodiment of the present invention. As shown, the wireless terminal of the present invention includes a display, an input device (e.g., a virtual keyboard), a processor, wherein the processor has a plurality of functions of time recording, packet packing of raw data, buffering, and transmitting data packets. It should be noted that the functions of the processors shown in the figures are merely illustrative and not exhaustive. The first wireless terminal also includes a memory having stored therein code for implementing the functions of the present invention. The first wireless terminal also includes memory, a speaker, and a microphone.
FIG. 4 is a flow diagram of a method according to an embodiment of the invention. As shown in the figure, the method of the present invention comprises the steps of:
step 401: acquiring security state related information of a user by a wireless terminal;
step 402: establishing, by a wireless terminal, a communication connection with a base station, wherein the wireless terminal and the base station communicate on a licensed spectrum cell;
step 403: configuring, by the base station, the wireless terminal to perform measurements on the unlicensed spectrum cell in response to establishing the communication connection with the base station;
step 404: in response to being configured to measure unlicensed spectrum cells, measuring, by the wireless terminal, the unlicensed spectrum cells and generating a measurement report at the wireless terminal side based on the measurement result;
step 405: transmitting, by the wireless terminal, a measurement report of the wireless terminal side to the base station;
step 406: selecting, by the base station, a secondary carrier located in an unlicensed spectrum based at least in part on the measurement report at the wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier;
step 407: transmitting, by the wireless terminal, the acquired security state related information of the user to the base station via the carrier on the licensed spectrum and the secondary carrier of the unlicensed spectrum in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier;
step 408: the base station sends the acquired safety state related information of the user to a safety center;
step 409: in response to receiving the acquired security state related information of the user, the security center judges whether the user is in a security state based on the genetic algorithm (the establishment of the genetic algorithm and the artificial intelligence model belongs to the prior art, and the specific establishment method is not described in detail herein).
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
performing, by a base station, interference measurements on secondary carriers located in an unlicensed spectrum prior to configuring, by the base station, the wireless terminal to perform measurements on the unlicensed spectrum cells;
generating, by the base station, a measurement report on a base station side in response to completing the interference measurement on the secondary carrier located in the unlicensed spectrum;
the method for measuring the unlicensed spectrum cell by the wireless terminal configured by the base station specifically comprises the following steps:
transmitting, by a base station, a measurement configuration message to a wireless terminal, wherein the measurement configuration message indicates to the wireless terminal at least: a center frequency at which the secondary carrier is to be measured by the wireless terminal, a bandwidth occupied by the secondary carrier to be measured by the wireless terminal, and a measurement mode.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
in response to receiving the measurement configuration message, the wireless terminal judges the center frequency of the auxiliary carrier to be measured, the bandwidth occupied by the auxiliary carrier to be measured and the measurement mode of the measurement to be performed;
if the measurement mode of the measurement to be carried out is judged to be the first measurement mode, the wireless terminal starts to monitor the signal strength on the auxiliary carrier at the beginning of each first measurement period and generates a Received Signal Strength Indicator (RSSI);
continuously monitoring the signal strength on the auxiliary carrier within a first time length by the wireless terminal, and averaging the generated RSSI based on the first time length to obtain a first RSSI average value;
transmitting, by the wireless terminal, the first RSSI average value to the base station;
in response to receiving the first RSSI average value, the base station determines whether the interference on the auxiliary carrier is greater than an interference threshold and whether the first RSSI average value is greater than an RSSI threshold value;
if the interference on the secondary carrier is less than the interference threshold and the first RSSI average value is greater than the RSSI threshold value, transmitting a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier by the base station.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
if the measurement mode of the measurement to be carried out is judged to be the second measurement mode, the wireless terminal starts to monitor the signal strength on the auxiliary carrier at the beginning of each second measurement period and generates a Received Signal Strength Indicator (RSSI);
continuously monitoring the signal strength of the auxiliary carrier wave by the wireless terminal in a second time length, and averaging the generated RSSI based on the second time length to obtain a second RSSI average value;
transmitting, by the wireless terminal, the second RSSI average value to the base station;
in response to receiving the second RSSI average value, the base station determines whether the interference on the auxiliary carrier is greater than an interference threshold and whether the second RSSI average value is greater than an RSSI threshold value;
and if the interference on the auxiliary carrier is less than the interference threshold and the second RSSI average value is greater than the RSSI threshold value, transmitting a synchronization signal and a demodulation reference signal to the wireless terminal on the auxiliary carrier by the base station, wherein the time length of the second measurement period is less than the time length of the first measurement period, and the second time length is less than the first time length.
In a preferred embodiment, the safety state information processing method based on the neural network comprises the following steps:
if the measurement mode of the measurement to be carried out is judged to be the third measurement mode, the wireless terminal determines the RSSI threshold value indicated in the measurement configuration message;
beginning to monitor signal strength on the auxiliary carrier at the beginning of each first measurement period and generating a Received Signal Strength Indication (RSSI);
the wireless terminal continuously monitors the signal strength on the auxiliary carrier within a first time length and records the time length that the RSSI of the signal is greater than the RSSI threshold value;
continuously monitoring the signal strength on the auxiliary carrier within a first time length by the wireless terminal, and averaging the generated RSSI based on the first time length to obtain a first RSSI average value;
the wireless terminal sends the first RSSI average value and the time length of the RSSI of the signal greater than the RSSI threshold value to the base station;
in response to receiving the first RSSI average value and the length of time that the RSSI of the signal is greater than the RSSI threshold value, the base station determines whether the interference on the auxiliary carrier is greater than an interference threshold, whether the first RSSI average value is greater than the RSSI threshold value, and whether the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than the length of time threshold value;
if the interference on the secondary carrier is less than the interference threshold, and the first RSSI average value is greater than the RSSI threshold value and the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than the length of time threshold value, then transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier.
The invention provides a safety state information processing system based on a neural network, which is characterized in that: the safety state information processing system based on the neural network comprises:
means for obtaining, by a wireless terminal, security state related information for a user;
means for establishing, by a wireless terminal, a communication connection with a base station, wherein the wireless terminal and the base station communicate on a licensed spectrum cell;
means for configuring, by a base station, a wireless terminal to perform measurements on unlicensed spectrum cells in response to establishing a communication connection with the base station;
means for, in response to being configured to measure unlicensed spectrum cells, measuring, by the wireless terminal, the unlicensed spectrum cells and generating a measurement report at the wireless terminal side based on the measurement result;
means for transmitting, by the wireless terminal, a measurement report at the wireless terminal side to the base station;
means for selecting, by a base station, a secondary carrier located in an unlicensed spectrum based at least in part on a measurement report at a wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier;
means for transmitting, by the wireless terminal, the acquired security state related information for the user to the base station via a carrier on a licensed spectrum and a secondary carrier of an unlicensed spectrum in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier;
a unit for transmitting the acquired security state related information of the user to a security center by the base station;
and a unit for judging, by the security center, whether the user is in a secure state based on a genetic algorithm in response to receiving the acquired security state-related information of the user.
In a preferred embodiment, the neural network-based secure state information processing system includes:
means for performing, by a base station, interference measurements for a secondary carrier located in an unlicensed spectrum prior to configuring, by a base station, measurements by a wireless terminal on unlicensed spectrum cells;
means for generating, by the base station, a measurement report on a base station side in response to completing interference measurements for a secondary carrier located in an unlicensed spectrum;
the method for measuring the unlicensed spectrum cell by the wireless terminal configured by the base station specifically comprises the following steps:
transmitting, by a base station, a measurement configuration message to a wireless terminal, wherein the measurement configuration message indicates to the wireless terminal at least: a center frequency at which the secondary carrier is to be measured by the wireless terminal, a bandwidth occupied by the secondary carrier to be measured by the wireless terminal, and a measurement mode.
In a preferred embodiment, the neural network-based secure state information processing system includes:
means for determining, by the wireless terminal, a center frequency at which the secondary carrier to be measured is located, a bandwidth occupied by the secondary carrier to be measured, and a measurement mode of the measurement to be made in response to receiving the measurement configuration message;
means for, if it is determined that the measurement mode of the measurement to be performed is the first measurement mode, beginning, by the wireless terminal, monitoring signal strength on the secondary carrier at the beginning of each first measurement period and generating a received signal strength indication, RSSI;
means for continuously monitoring, by the wireless terminal, signal strength on the secondary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
means for transmitting, by the wireless terminal, the first RSSI average value to the base station;
means for determining, by the base station, whether interference on the auxiliary carrier is greater than an interference threshold and whether the first RSSI average is greater than an RSSI threshold in response to receiving the first RSSI average;
means for transmitting, by the base station, a synchronization signal and a demodulation reference signal on the secondary carrier to the wireless terminal if the interference on the secondary carrier is less than the interference threshold and the first RSSI average is greater than the RSSI threshold value.
In a preferred embodiment, the neural network-based secure state information processing system includes:
a unit for monitoring, by the wireless terminal, the signal strength on the secondary carrier at the start of each second measurement period and generating a received signal strength indication, RSSI, if it is determined that the measurement mode of the measurement to be performed is the second measurement mode;
means for continuously monitoring, by the wireless terminal, signal strength on the auxiliary carrier for a second length of time, and averaging the generated RSSI based on the second length of time to obtain a second RSSI average;
means for transmitting, by the wireless terminal, the second RSSI average value to the base station;
means for determining, by the base station, whether interference on the auxiliary carrier is greater than an interference threshold and whether the second RSSI average is greater than an RSSI threshold in response to receiving the second RSSI average;
means for transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier if the interference on the secondary carrier is less than an interference threshold and a second RSSI average is greater than an RSSI threshold value, wherein a length of time of the second measurement period is less than a length of time of the first measurement period and the second length of time is less than the first length of time.
In a preferred embodiment, the neural network-based secure state information processing system includes:
a unit configured to determine, by the wireless terminal, an RSSI threshold value indicated in the measurement configuration message if it is determined that the measurement mode of the measurement to be performed is the third measurement mode;
means for beginning to monitor signal strength on the secondary carrier at the beginning of each first measurement period and generating a received signal strength indication, RSSI;
a unit for the wireless terminal to continuously monitor the signal strength on the auxiliary carrier within a first time period and record the time period that the RSSI of the signal is greater than the RSSI threshold value;
means for continuously monitoring, by the wireless terminal, signal strength on the secondary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
means for transmitting, by the wireless terminal, the first RSSI average value and a length of time that the RSSI of the signal is greater than the RSSI threshold value to the base station;
a unit for determining, by the base station, whether the interference on the auxiliary carrier is greater than an interference threshold, whether the first RSSI average value is greater than an RSSI threshold, and whether the length of time that the RSSI of the signal is greater than the RSSI threshold is greater than the length of time threshold in response to receiving the first RSSI average value and the length of time that the RSSI of the signal is greater than the RSSI threshold;
means for transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier if the interference on the secondary carrier is less than the interference threshold, and the first RSSI average is greater than the RSSI threshold value and the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than the length of time threshold value.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (10)
1. A safety state information processing method based on a neural network is characterized in that: the safety state information processing method based on the neural network comprises the following steps:
acquiring security state related information of a user by a wireless terminal;
establishing, by a wireless terminal, a communication connection with a base station, wherein the wireless terminal and the base station communicate on a licensed spectrum cell;
configuring, by a base station, the wireless terminal to perform measurements on unlicensed spectrum cells in response to establishing a communication connection with the base station;
in response to being configured to measure the unlicensed spectrum cell, measuring, by the wireless terminal, the unlicensed spectrum cell and generating a measurement report at the wireless terminal side based on the measurement result;
transmitting, by a wireless terminal, a measurement report of the wireless terminal side to the base station;
selecting, by a base station, a secondary carrier located in an unlicensed spectrum based at least in part on a measurement report at the wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier;
transmitting, by the wireless terminal, the acquired security state related information of the user to the base station via a carrier on a licensed spectrum and a secondary carrier of an unlicensed spectrum in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier;
the base station sends the acquired safety state related information of the user to a safety center;
and in response to receiving the acquired safety state related information of the user, judging whether the user is in a safety state or not by the safety center based on a genetic algorithm.
2. The neural network-based security state information processing method according to claim 1, characterized in that: the safety state information processing method based on the neural network comprises the following steps:
performing, by a base station, interference measurements on secondary carriers located in an unlicensed spectrum prior to configuring, by the base station, measurements by the wireless terminal on unlicensed spectrum cells;
generating, by the base station, a measurement report on a base station side in response to completing the interference measurement on the secondary carrier located in the unlicensed spectrum;
the method for measuring the unlicensed spectrum cell by the wireless terminal configured by the base station specifically comprises the following steps:
transmitting, by a base station, a measurement configuration message to the wireless terminal, wherein the measurement configuration message indicates to the wireless terminal at least: a center frequency at which the secondary carrier is to be measured by the wireless terminal, a bandwidth occupied by the secondary carrier to be measured by the wireless terminal, and a measurement mode.
3. The neural network-based security state information processing method according to claim 2, characterized in that: the safety state information processing method based on the neural network comprises the following steps:
in response to receiving the measurement configuration message, the wireless terminal judges the center frequency of the auxiliary carrier to be measured, the bandwidth occupied by the auxiliary carrier to be measured and the measurement mode of the measurement to be performed;
if the measurement mode of the measurement to be carried out is judged to be the first measurement mode, the wireless terminal starts to monitor the signal strength on the auxiliary carrier at the beginning of each first measurement period and generates a Received Signal Strength Indicator (RSSI);
continuously monitoring, by a wireless terminal, signal strength on the auxiliary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
transmitting, by a wireless terminal, the first RSSI average value to the base station;
in response to receiving the first RSSI average value, determining, by a base station, whether interference on the secondary carrier is greater than an interference threshold and whether the first RSSI average value is greater than an RSSI threshold value;
transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the supplementary carrier if the interference on the supplementary carrier is less than an interference threshold and the first RSSI average is greater than the RSSI threshold value.
4. The neural network-based security state information processing method according to claim 3, characterized in that: the safety state information processing method based on the neural network comprises the following steps:
if the measurement mode of the measurement to be carried out is judged to be the second measurement mode, the wireless terminal starts to monitor the signal strength on the auxiliary carrier at the beginning of each second measurement period and generates a Received Signal Strength Indicator (RSSI);
continuously monitoring the signal strength of the auxiliary carrier by the wireless terminal within a second time length, and averaging the generated RSSI based on the second time length to obtain a second RSSI average value;
transmitting, by the wireless terminal, the second RSSI average value to the base station;
in response to receiving the second RSSI average value, determining, by the base station, whether interference on the secondary carrier is greater than an interference threshold and whether the second RSSI average value is greater than an RSSI threshold value;
transmitting, by a base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the supplementary carrier if the interference on the supplementary carrier is less than an interference threshold and the second RSSI average is greater than the RSSI threshold value, wherein a time length of the second measurement period is less than a time length of the first measurement period and the second time length is less than the first time length.
5. The neural network-based security state information processing method of claim 4, wherein: the safety state information processing method based on the neural network comprises the following steps:
if the measurement mode of the measurement to be carried out is judged to be the third measurement mode, the wireless terminal determines the RSSI threshold value indicated in the measurement configuration message;
beginning to monitor signal strength on the secondary carrier at the beginning of each first measurement period and generating a received signal strength indication, RSSI;
continuously monitoring the signal strength of the auxiliary carrier within a first time span by the wireless terminal, and recording the time span that the RSSI of the signal is greater than the RSSI threshold value;
continuously monitoring, by a wireless terminal, signal strength on the auxiliary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
sending, by the wireless terminal, the first RSSI average value and a length of time that the RSSI of the signal is greater than the RSSI threshold value to the base station;
in response to receiving the first RSSI average value and the length of time that the RSSI of the signal is greater than the RSSI threshold value, determining, by the base station, whether the interference on the secondary carrier is greater than an interference threshold, whether the first RSSI average value is greater than the RSSI threshold value, and whether the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than a length of time threshold value;
transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the supplementary carrier if the interference on the supplementary carrier is less than an interference threshold, and the first RSSI average is greater than the RSSI threshold value and the length of time that the RSSI of the signal is greater than the RSSI threshold value is greater than a length of time threshold value.
6. A safety state information processing system based on a neural network is characterized in that: the safety state information processing system based on the neural network comprises:
means for obtaining, by a wireless terminal, security state related information for a user;
means for establishing, by a wireless terminal, a communication connection with a base station, wherein the wireless terminal and the base station communicate on a licensed spectrum cell;
means for configuring, by a base station, the wireless terminal to perform measurements on unlicensed spectrum cells in response to establishing a communication connection with the base station;
means for, in response to being configured to measure the unlicensed spectrum cell, measuring, by the wireless terminal, the unlicensed spectrum cell and generating a measurement report at the wireless terminal side based on the measurement result;
means for transmitting, by a wireless terminal, a measurement report at the wireless terminal side to the base station;
means for selecting, by a base station, a secondary carrier located in an unlicensed spectrum based at least in part on a measurement report at the wireless terminal side, and transmitting, by the base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the secondary carrier;
means for transmitting, by a wireless terminal, the acquired security state related information for the user to the base station via a carrier on a licensed spectrum and a secondary carrier of an unlicensed spectrum in response to listening for the synchronization signal and the demodulation reference signal on the secondary carrier;
a unit for transmitting the acquired security state related information of the user to a security center by the base station;
and a unit for judging, by the security center, whether the user is in a secure state based on a genetic algorithm in response to receiving the acquired security state-related information of the user.
7. The neural network-based secure state information processing system of claim 6, wherein: the safety state information processing system based on the neural network comprises:
means for performing, by a base station, interference measurements for a secondary carrier located in an unlicensed spectrum prior to configuring, by the base station, measurements by the wireless terminal on unlicensed spectrum cells;
means for generating, by the base station, a measurement report on a base station side in response to completing interference measurements for a secondary carrier located in an unlicensed spectrum;
the method for measuring the unlicensed spectrum cell by the wireless terminal configured by the base station specifically comprises the following steps:
transmitting, by a base station, a measurement configuration message to the wireless terminal, wherein the measurement configuration message indicates to the wireless terminal at least: a center frequency at which the secondary carrier is to be measured by the wireless terminal, a bandwidth occupied by the secondary carrier to be measured by the wireless terminal, and a measurement mode.
8. The neural network-based secure state information processing system of claim 7, wherein: the safety state information processing system based on the neural network comprises:
means for determining, by the wireless terminal, a center frequency at which the secondary carrier to be measured is located, a bandwidth occupied by the secondary carrier to be measured, and a measurement mode of the measurement to be made in response to receiving the measurement configuration message;
means for, if it is determined that the measurement mode of the measurement to be performed is the first measurement mode, beginning, by the wireless terminal, monitoring signal strength on the secondary carrier at the beginning of each first measurement period and generating a received signal strength indication, RSSI;
means for continuously monitoring, by a wireless terminal, signal strength on the secondary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
means for transmitting, by a wireless terminal, the first RSSI average value to the base station;
means for determining, by a base station, whether interference on the secondary carrier is greater than an interference threshold and whether the first RSSI average is greater than an RSSI threshold value in response to receiving the first RSSI average;
means for transmitting, by a base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the supplementary carrier if interference on the supplementary carrier is less than an interference threshold and the first RSSI average is greater than the RSSI threshold value.
9. The neural network-based secure state information processing system of claim 8, wherein: the safety state information processing system based on the neural network comprises:
means for, if it is determined that the measurement mode of the measurement to be performed is the second measurement mode, beginning, by the wireless terminal, monitoring signal strength on the secondary carrier at the beginning of each second measurement period and generating a received signal strength indication, RSSI;
means for continuously monitoring, by a wireless terminal, signal strength on the secondary carrier for a second length of time, and averaging the generated RSSI based on the second length of time to obtain a second RSSI average;
means for transmitting, by a wireless terminal, the second RSSI average value to the base station;
means for determining, by a base station, whether interference on the secondary carrier is greater than an interference threshold and whether the second RSSI average is greater than an RSSI threshold value in response to receiving the second RSSI average;
means for transmitting, by a base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the supplementary carrier if interference on the supplementary carrier is less than an interference threshold and the second RSSI average is greater than the RSSI threshold value, wherein a length of time of the second measurement period is less than a length of time of the first measurement period and the second length of time is less than the first length of time.
10. The neural network-based secure state information processing system of claim 9, wherein: the safety state information processing system based on the neural network comprises:
a unit configured to determine, by the wireless terminal, an RSSI threshold value indicated in the measurement configuration message if it is determined that the measurement mode of the measurement to be performed is the third measurement mode;
means for beginning to monitor signal strength on the secondary carrier at a start of each first measurement period and generating a received signal strength indication, RSSI;
means for continuously monitoring, by the wireless terminal, signal strength on the auxiliary carrier for a first length of time, and recording a length of time that an RSSI of a signal is greater than the RSSI threshold value;
means for continuously monitoring, by a wireless terminal, signal strength on the secondary carrier for a first length of time, and averaging the generated RSSI based on the first length of time to obtain a first RSSI average;
means for transmitting, by a wireless terminal, the first RSSI average value and a length of time that an RSSI of a signal is greater than the RSSI threshold value to the base station;
means for determining, by the base station, whether interference on the secondary carrier is greater than an interference threshold, whether the first RSSI average value is greater than an RSSI threshold value, and whether a length of time that the RSSI of the signal is greater than the RSSI threshold value in response to receiving the first RSSI average value and the length of time that the RSSI of the signal is greater than the RSSI threshold value;
means for transmitting, by a base station, a synchronization signal and a demodulation reference signal to the wireless terminal on the supplementary carrier if interference on the supplementary carrier is less than an interference threshold, and the first RSSI average is greater than the RSSI threshold value and a length of time that an RSSI of a signal is greater than the RSSI threshold value is greater than a length of time threshold value.
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