CN117460026A

CN117460026A - Method and device for processing information, electronic equipment and storage medium

Info

Publication number: CN117460026A
Application number: CN202311751284.3A
Authority: CN
Inventors: 余荣芳; 夏敏月; 叶丹
Original assignee: Jiangsu Qinzheng Information Technology Co ltd
Current assignee: Jiangsu Qinzheng Information Technology Co ltd
Priority date: 2023-12-19
Filing date: 2023-12-19
Publication date: 2024-01-26
Anticipated expiration: 2043-12-19
Also published as: CN117460026B

Abstract

The invention relates to the technical field of communication, in particular to a method and a device for processing information, electronic equipment and a storage medium, wherein the method comprises the steps of receiving a measured value of common-frequency interference; receiving a signal strength measurement; selecting one small cell in the group as the best base station for the user equipment based on the signal strength measurements and the measurements of co-channel interference; receiving an instruction request; selecting a first target user equipment according to a mobility selection policy, wherein the first location information and the equipment state information are selected; sending a first control instruction to the first target user equipment; and the user equipment accesses the wireless network through the selected optimal base station. By deploying small cells and macro cells, the mobile communication network is able to support more users and devices that are connected at the same time. This expands the capacity of the network and provides higher data rates and bandwidths to meet the user's demands for high speed data transmission.

Description

Method and device for processing information, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of communication, in particular to a method and a device for processing information, electronic equipment and a storage medium.

Background

A Cell (Cell) is typically a basic communication unit in a mobile communication system. The mobile communication system is divided into Cell levels, wherein each Cell is supported by a Base Station (Base Station) or a wireless Access Point (Access Point). There are generally two types of cells: small Cells (SC) and Macro Cells (MC).

A small cell refers to a small radio base station that provides coverage in a particular area, either indoors or outdoors. A smaller coverage area is supported, such as a certain building, mall, office building or neighborhood. Providing higher capacity and better user experience, especially in highly dense user areas such as city centers or densely populated areas. Common technologies include microcells (microcells), picocells (picocells), personal cells (femtocells), and the like.

Macro cells refer to radio base stations providing a large coverage area, typically for wide area coverage, such as cities, rural areas or highways. The base station has higher transmission power and wide coverage, and supports a large number of users and high-speed data transmission. Are typically deployed by mobile network operators to provide a wide range of coverage and services.

A User Equipment (UE) refers to a terminal device used by a User in a mobile communication system, such as a smart phone, a tablet computer, a data card, etc. The user equipment is a user access point in a mobile communication system, and communicates with a base station or a wireless access point of a mobile network to realize various communication services such as voice, data, multimedia and the like.

In a mobile communication system, a user equipment performs wireless communication with a base station or a wireless access point through a radio frequency signal. The base station or wireless access point is responsible for controlling and handling communications between user equipment and provides an interface to the core network. The user equipment is connected to the mobile network through a base station or a wireless access point to access various services and applications including internet, voice communication, short message and multimedia transmission, etc.

Prior art document 1 (application number CN 202310251708.3) discloses a signal transmission method, a device, an electronic apparatus and a readable storage medium, the steps of the method include transmitting a first reference signal, acquiring first information obtained by measurement and/or sensing processing related to the first reference signal, and transmitting a second reference signal according to the first information. The invention aims to improve the reliability of a positioning method based on sensing communication integration. However, during the signal transmission process, noise from the external environment or other electronic devices may interfere, resulting in a decrease in signal quality, thereby affecting the reliability and accuracy of data transmission.

Prior art document 2 (application No. cn202310005152. X) discloses a data processing method, apparatus, electronic device, and computer-readable storage medium, the method comprising: determining multi-level index information in a storage database, positioning a target data file of target simulation data according to the multi-level index information and the target data of the target simulation data, and processing the target simulation data based on the target data file. And respectively processing a large amount of simulation data generated by the urban waterlogging simulation early warning system by utilizing index information of multiple layers of different catalogues created in the storage database so as to accurately position a data file corresponding to each simulation data. Then, according to the data file determined by the positioning, a series of processing operations such as storage, retrieval, backup and migration are performed on the simulation data. The method effectively improves the processing efficiency of a large amount of simulation data, thereby optimizing the early warning effect of the urban waterlogging simulation early warning system. However, the quality of the input data is a problem during data processing. For example, the data contains errors, deletions, outliers or imperfections, etc. These problems can lead to inaccuracy or distortion of the data processing results. Some data processing methods and apparatus are inefficient in processing large amounts of data. This results in extended processing time, affecting the real-time and response performance of the system.

The invention aims to solve the technical problems of how to quickly and accurately detect available networks, evaluate the reliability, bandwidth and delay of the networks and select the optimal network by user equipment.

For this purpose, a method and a device for processing information, an electronic device and a storage medium are proposed.

Disclosure of Invention

The invention aims to provide a method and a device for processing information, electronic equipment and a storage medium, wherein an optimal base station is selected based on a signal strength measured value received by an inner user equipment and a measured value of common frequency interference among groups; selecting a first target user equipment according to the mobility selection policy, the first location information and the equipment state information; deployment of small cells and macro cells expands the coverage of mobile communication systems, making communication services available over a wider geographical area.

In order to achieve the above purpose, the present invention provides the following technical solutions:

a method for processing information is applied to a server and comprises the following steps:

s10, receiving a common-frequency interference value a between a group of small cells SC within a communication distance range of a macro cell MC;

s20, receiving a signal intensity value b from the SC in the MC communication distance range;

s30, when a < 160dBm and b > -100dBm, comprehensively considering the coverage area, capacity requirement and topology structure of the cell, and selecting the reference signal received power (RSRP > -100 dBm) of the SCs in the group as the optimal base station of the User Equipment (UE);

S40, receiving a request sent by the UE, wherein the request comprises first position information and equipment state information;

s50, selecting a first target user equipment with the highest score according to a mobility selection strategy; the specific conditions for selecting the first target user equipment are as follows:

；（1）

wherein,representing a first target user device score, +.>An evaluation score representing the relative movement speed between said UE and the UE for which co-frequency interference is formed, the corresponding weight being with mobility weight +.>A representation; />Indicating the relative positioning information score of the best base station measuring the UE, the corresponding weight position +.>A weight representation; />A device status information score indicating the UE, a corresponding device status weight for weight +.>A representation;

s60, a first control instruction is sent to the first target user equipment, wherein the first control instruction is used for controlling the first target user equipment to move to a target position; the target position is position information which is predetermined or dynamically updated by the first target user equipment, and the target position is in an area within the coverage range of any one optimal base station;

and S70, controlling the first target user equipment to access a wireless network through the optimal base station selected in the S30.

Preferably, the selecting the best base station in S30 should satisfy a suitable condition:

the selected optimal base station should cover the users of the target area, and provide good signal strength and communication quality; based on the attenuation model, the calculation formula of the maximum distance which can be covered by the best base station signal is as follows:

；（2）

wherein,represents the maximum distance that the best base station signal can cover, P _r Indicating distance->Received power at P _t Representing the transmit power, G _t And G _r Representing transmit and receive antenna gain, respectively, +.>Representing the wavelength of the signal.

Preferably, the updating manner of the first location information in S40 includes:

s401, monitoring and receiving a position request message from the UE;

s402, sending a position request message to the UE to calculate the position of the UE; the coordinate values of the position estimate of the UE are (x, y, z), expressed as:

；（3）

；（4）

；（5）

wherein, the method comprises the following steps of，/>，/>) Is->Position coordinates of the individual base stations, corresponding weights +.>Is calculated according to the distance>A weight value; setting the number of base stations to N, measured +.>The distance between the optimal base station and the first target user equipment is that；/>A natural number greater than 1;

s403, checking the privacy profile information of the calculated UE position;

S404, selectively reporting the position of the UE to a client according to the checking result;

the UE determining its first location information by positioning measurements using a reference location information message and a relative location information message in reporting its own location to the client, the UE transmitting a reference location information message indicating the first location; through subsequent positioning measurements, the UE determines one or more subsequent locations thereof, and to communicate these subsequent location information, the UE sends one or more relative location information messages, each indicating the subsequent location of the UE based on relative information with respect to the initial location.

Preferably, the mobility selection policy in S50 includes:

selecting a candidate user equipment closest to the target position as first target user equipment according to the strategies of shortest distance, shortest path and shortest time;

the candidate user equipment with the best signal strength, lower load or lower delay is selected as the first target user equipment.

Preferably, in S50, the network adaptively allocates and manages resources according to bandwidth, spectrum and power according to the mobility selection policy and device status information; the 5G SC only needs the transmitting power between a few milliwatts and tens of milliwatts, and the service range of the SC is in the range of tens of meters to hundreds of meters, so that the same spectrum resources are multiplexed between different SCs and between the SC and the MC; the method forms a heterogeneous structure with the traditional MC, and greatly improves the utilization rate of the system spectrum; the millimeter wave frequency band has high fading characteristics, and is combined with an SC technology to strengthen the signal propagation distance and improve the communication bandwidth;

Calculating the minimum transmitting power of the user equipment according to the channel quality and the target transmission rate; the minimum transmission power P of the user equipment is calculated by the following formula:

；（6）

wherein, the channel capacity is C, and the unit is bit/second; the signal-to-noise ratio is SNR, the target transmission rate is R, and the unit is bit/second; n0 is the noise power spectral density of the channel. When the target transmission rate increases, the minimum transmission power should be adjusted correspondingly to increase; when the signal-to-noise ratio increases, the minimum transmission power should be correspondingly adjusted to be smaller; the minimum transmit power adaptively varies with the target transmission rate and signal-to-noise ratio.

Preferably, in S60, a first control instruction is sent to the first target user equipment, where the first control instruction includes a target location, a movement mode or manner, a movement speed, a movement priority, and a movement duration.

Preferably, a method of processing information includes:

s10, MC sends a first instruction to SC in the group, opens and sends a special reference signal DRS;

s20, MC receives signal intensity value a of DRS sent from user equipment UE of SC;

s30, MC receives the common frequency interference value b between the SCs in the group of the DRS sent from the UE;

S40, MC sends a second instruction to the SC in the group, the second instruction adjusts and sends a cellular reference signal CRS, and the CRS has the same transmitting power as the DRS;

s50, when a < -160dBm and b < -100dBm, the MC selects one of the SCs as the optimal base station of the user equipment UE.

Preferably, an apparatus for processing information includes:

the first receiving module is used for receiving the common-frequency interference value a among a group of SCs within the MC communication distance range;

a second receiving module, configured to receive a signal strength value b of SC from a UE group of user equipments within a MC communication distance range;

a first selection module, configured to, when a < -160dBm and b > -100dBm, comprehensively consider coverage, capacity requirement, topology, interference management, and network management factors, select one of the SCs in the subgroup as an optimal base station for the UE, where the SC should satisfy its reference signal received power RSRP > -100dBm;

a third receiving module, configured to receive a request sent by the UE, where the request includes first location information and device state information;

the second selection module is used for selecting the first target user equipment with the highest score according to the mobility selection strategy;

the sending module is used for sending a first control instruction to the first target user equipment, and the first control instruction is used for controlling the first target user equipment to move to a target position;

And the access module is used for controlling the first target user equipment to access the wireless network through the optimal base station selected in the S30.

According to still another aspect of the embodiments of the present application, there is further provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the above information processing method through the computer program.

According to yet another aspect of embodiments of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the computer device performs the information processing method as above.

Compared with the prior art, the invention has the beneficial effects that:

1. based on the signal strength measurements received by the user equipment and the intra-group co-channel interference measurements, the best base station selection helps to improve network coverage and connection quality. By selecting base stations with higher received signal strength and lower intra-group co-channel interference, the user equipment will connect more stably to the optimal network. And selecting a base station with higher signal strength and lower intra-group common frequency interference to reduce communication interference and improve communication quality and capacity. Meanwhile, the base station selection is carried out according to the measured value, so that load balance is realized, and the influence on the performance of a communication system due to overload of some base stations is avoided. By making the best base station selection based on the measurements, the spectrum resources are more efficiently utilized. By avoiding connection to a base station with higher interference, the waste of spectrum resources is reduced, and the overall system capacity and performance are improved. Optimizing base station selection achieves an increase in network capacity and throughput. By selectively connecting to the best base station with higher signal strength and lower interference, the access capability of the user equipment is increased, providing more stable and high-speed data transmission.

2. And monitoring the running state and the position of the equipment in real time by acquiring the equipment state information of the user equipment. The equipment state information of the user equipment provides the health condition and performance index of the equipment, and the information is used for fault diagnosis and maintenance, so that equipment faults are timely found and solved, and the downtime and maintenance cost are reduced. The device status information provides data regarding performance metrics and usage of the device. By analyzing and monitoring the equipment state, performance bottlenecks and optimization opportunities are identified, measures are taken to improve the equipment performance, and the work efficiency and the production capacity are improved. The device status information provides data regarding the device's operating conditions and capabilities. These data are used for data-driven decisions, making decisions based on real-time data and analysis, optimizing device usage and maintenance.

3. By selecting the first target user equipment according to the mobility selection policy, the first location information and the device state information, the target device located at the best location is selected, thereby more efficiently utilizing and allocating the available resources. By considering the equipment state information, equipment with good performance and stable operation is selected, and the resource utilization rate and the allocation accuracy are improved. The target device is selected based on the device status information, avoiding selecting a device that is in a faulty, low battery or unstable state. This helps to ensure reliability and stability of the system, reduce unexpected failures and interruptions, and improve service continuity and reliability.

Drawings

FIG. 1 is a graph of data transmission rate versus the present invention;

FIG. 2 is a bit error rate comparison chart of the present invention;

FIG. 3 is a graph of throughput versus the present invention;

FIG. 4 is a graph of minimum transmit power versus the present invention;

FIG. 5 is a flow chart of a method of processing information according to the present invention;

FIG. 6 is a diagram of a deployment architecture of MC, SC, and UE of the present invention;

FIG. 7 is a block diagram of an information processing apparatus of the present invention;

fig. 8 is a block diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described herein are merely some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art without making any inventive effort, are within the scope of the present invention.

Referring to fig. 1 to 8, the present invention provides a method and apparatus for processing information, an electronic device, and a storage medium, and the technical scheme is as follows:

the choice of a < -160dBm and b > -100dBm range is based on the following considerations:

common frequency interference refers to interference signals within the same frequency band. By requiring the common frequency interference value to be less than-160 dBm, the strength of the interference signal is ensured to be very small, and the influence on the normal signal is ignored. Thus, the interference suppression capability of the wireless communication system is improved, and the negative influence of signal interference on the communication quality and the system performance is reduced.

The signal strength value refers to the strength level of the received signal. Requiring signal strength values greater than-100 dBm means that the received signal is guaranteed to have a relatively high strength. A higher signal strength generally indicates better signal quality, providing a more stable, fast and reliable communication connection. This reduces the instances of weak or lost signals, improving the reliability of the communication and the user experience.

Considering together, a < -160dBm and b > -100dBm are chosen to ensure a lower interference level and higher signal quality, thereby providing better communication quality and user experience.

The selection of the best base station in S30 should satisfy the appropriate conditions:

；

the updating manner of the first location information in S40 includes:

s401, monitoring and receiving a position request message from the UE;

；

wherein, the method comprises the following steps of,/>,/>) Is->The location coordinates of the individual base stations. Corresponding weight- >Is calculated according to the distance>A weight value; setting the number of base stations to N, measured +.>The distance between the optimal base station and the first target user equipment is that；/>A natural number greater than 1;

s403, checking the privacy profile information of the calculated UE position;

；

Wherein,representing a first target user device score, +.>An evaluation score representing the relative movement speed between said UE and the UE for which co-frequency interference is formed, the corresponding weight being with mobility weight +.>A representation; />Indicating the relative positioning information score of the best base station measuring the UE, the corresponding weight is with the position weight +.>A representation; />Device status information score indicating the UE, corresponding weight setStandby state weight +.>A representation;

as an embodiment of the present invention, it is assumed that in a 5G mobile communication system, a first target user equipment having the highest score is selected according to a mobility selection policy, first location information and device state information. There are 20 user equipments in a coverage area of an optimal base station, and the mobile base station collects location information and equipment status information of the 20 target user equipments. The 20 user equipments are numbered and,taking 0.3%>Taking 0.2%>Taking 0.1, calculating the score of the target user equipments using mobility selection policies, each user equipment evaluating a mobility score +.>Positioning score->Device status information scoreWherein the highest score->80 parts of (I)>Taking 90%>Taking 100, according to the calculated score, +. >Calculated 72 from candidate target user equipmentThe device with the highest score 72 is selected as the first target user device. Once the highest scoring first target user equipment is selected, the mobile communication system may switch services and connections to the target equipment according to a switching policy and resource scheduling mechanism. The connection of the user is ensured to be kept stable in the switching process of the equipment, and communication interruption or service quality degradation is avoided. By selecting the appropriate first target user equipment, better quality of service (QoS), such as lower latency and higher bandwidth, is provided. The selection of the appropriate first target user equipment can improve the effective utilization of system resources and network capacity, and better user experience is provided.

The mobility selection policy in S50 includes:

In S50, according to the mobility selection policy and the device status information, the network adaptively allocates and manages resources according to the bandwidth, spectrum and power; the 5G SC only needs the transmitting power between one milliwatt and tens of milliwatts, and the service range of the SC is in the range of twenty meters to five hundred meters, so that the same spectrum resources are multiplexed between different SCs and between the SC and the MC; the method forms a heterogeneous structure with the traditional MC, and greatly improves the utilization rate of the system spectrum; the millimeter wave frequency band has high fading characteristics, and is combined with an SC technology to strengthen the signal propagation distance and improve the communication bandwidth;

；

and S60, sending a first control instruction to the first target user equipment, wherein the first control instruction comprises a target position, a moving mode or mode, a moving speed, a moving priority and a moving duration.

A method of processing information, comprising:

An apparatus for processing information, comprising:

As an embodiment of the present invention, referring to fig. 1, a data transmission rate is compared with a graph.

The data transmission rate of the experimental group meeting the conditions of a < -160dBm and b > -100dBm is obviously larger than that of the comparison group of a= -150dBm and b= -110 dBm; with the increase of the signal-to-noise ratio, the data transmission rate is obviously increased; the experimental group of a < -160dBm and b > -100dBm shows better system performance. When the signal-to-noise ratio is 10dB, the data transmission rate of the comparison group a= -150dBm, b= -110dBm is 20 Mbps, and the data transmission rate of the experimental group meeting the conditions of a < 160dBm and b > -100dBm is 45Mbps, which is significantly more than twice as large. When the signal-to-noise ratio is 20dB, the data transmission rate of the comparison group a= -150dBm, b= -110dBm is 30 Mbps, and the data transmission rate of the experimental group meeting the conditions of a < 160dBm and b > -100dBm is 70Mbps, which is significantly more than twice as large. System performance is affected by signal-to-noise ratio and data transmission rate, while data transmission rate is affected by signal-to-noise ratio. A higher data transmission rate means that more data can be transmitted in a shorter time, thereby improving the performance of the system. Lower data transmission rates can result in transmission delays and lower system throughput. The higher signal-to-noise ratio can counteract the influence caused by signal attenuation, so that the signal can keep enough strength, and the data transmission rate is further improved. When the signal-to-noise ratio is low, the attenuation can cause the signal to become very weak, and even not be received correctly in long-range transmission, thereby reducing the data transmission rate.

As an embodiment of the present invention, referring to fig. 2, a bit error rate comparison chart is shown.

The error rate of the experimental group meeting the conditions of a < -160dBm and b < -100dBm is obviously smaller than that of the comparison group; with the increase of the signal-to-noise ratio, the bit error rate is obviously decreased; the experimental group of a < -160dBm and b > -100dBm shows better system performance. When the signal-to-noise ratio is 10dB, the bit error rate of the comparison group a= -150dBm and b= -110dBm is 11%, and the bit error rate of the experimental group meeting the conditions of a < -160dBm and b > -100dBm is 2%, which is obviously reduced by 5 times. When the signal-to-noise ratio is 20dB, the bit error rate of the comparison group a= -150dBm and b= -110dBm is 1%, and the bit error rate of the experimental group meeting the conditions of a < -160dBm and b > -100dBm is 0.1%, which is obviously reduced by 10 times. The system performance is affected by the signal-to-noise ratio and the bit error rate, and at the same time, the bit error rate is affected by the signal-to-noise ratio. In the environment of high signal-to-noise ratio, the signal is easier to be received and decoded accurately, and the error rate is lower, so that the system performance is improved. In contrast, in a low signal-to-noise ratio environment, due to the influence of noise, signals can be interfered and distorted, so that the error rate is increased, and the system performance is reduced. Under high signal-to-noise ratio conditions, the bit error rate is typically lower because the receiving end is able to more reliably identify and correct the erroneous bits. Under the condition of low signal-to-noise ratio, noise interference can lead to error decoding of signals by a receiving end, so that the error rate is increased. The influence of noise on signals can be reduced by the higher signal-to-noise ratio, the demodulation accuracy is improved, and the bit error rate is reduced. Conversely, a lower signal-to-noise ratio increases the noise to signal interference and may result in demodulation errors and higher bit error rates.

As an embodiment of the present invention, refer to fig. 3, a throughput versus graph.

The throughput of the experimental group meeting the conditions of a < 160dBm and b > -100dBm is obviously larger than that of the comparison group; as the signal-to-noise ratio increases, the throughput increases significantly; the experimental group of a < -160dBm and b > -100dBm shows better system performance. When the signal-to-noise ratio is 10dB, the throughput of the comparison group a= -150dBm, b= -110dBm is 72 bit/s, while the throughput of the experimental group satisfying the conditions of a < -160dBm and b > -100dBm is 110bit/s, which is significantly larger. When the signal-to-noise ratio is 20dB, the throughput of the comparison group a= -150dBm, b= -110dBm is 144bit/s, while the throughput of the experimental group satisfying the conditions of a < -160dBm and b > -100dBm is 190bit/s, which is significantly larger. System performance is affected by signal-to-noise ratio and throughput, while throughput is affected by signal-to-noise ratio. In a high signal-to-noise environment, signals are more easily and accurately received and decoded, thereby improving the throughput of the system. In contrast, in a low signal-to-noise ratio environment, the signal cannot be decoded correctly by the receiving end due to the interference of noise on the signal, so that the throughput of the system is reduced. A higher signal-to-noise ratio generally means a lower bit error rate because the strength of the signal is relatively high and the noise disturbance is relatively small, thereby reducing the occurrence of bit errors. Lower bit error rates help to improve the data transmission reliability and throughput of the system, as the need for retransmission or error correction is reduced, reducing transmission delay. The higher signal-to-noise ratio can reduce the influence of noise on signals and reduce the error rate, thereby improving the throughput of the system. A low signal to noise ratio results in a higher bit error rate, i.e. a higher proportion of errors occurring during transmission. When the error rate is high, the receiving end needs to perform error detection and correction, so that the effective data volume of transmission is reduced. Thus, a lower signal-to-noise ratio reduces the throughput of the system. When the signal-to-noise ratio is low, the frequency of the retransmission mechanism increases due to the high transmission error rate, which results in a decrease in throughput.

When the conditions of a < -160dBm and b < -100dBm are satisfied, the transmission distance and coverage of wireless signals can be increased, the capacity and throughput of the system are improved, the error rate and the packet loss rate are reduced, the connection reliability and the data transmission quality are improved, and higher signal strength values can provide better communication quality and faster data transmission rate. Therefore, a < -160dBm and b > -100dBm can have a positive impact on system performance.

As one embodiment of the present invention, the network adaptively allocates and manages resources according to bandwidth, spectrum and power according to mobility selection policy and device state information; the 5G SC only needs the transmitting power between one milliwatt and tens of milliwatts, and the service range of the SC is in the range of twenty meters to five hundred meters, so that the same spectrum resources are multiplexed between different SCs and between the SC and the MC; the method forms a heterogeneous structure with the traditional MC, and greatly improves the utilization rate of the system spectrum; the millimeter wave frequency band has high fading characteristic, and is combined with the SC technology to strengthen the distance of signal propagation and improve the communication bandwidth.

Assume that in a 5G mobile communication network, the experimental parameters are set as shown in table 1.

Table 1 experimental parameter settings

Experimental parameters	Value of
		Channel capacity C	100 G bps
Signal to noise ratio SNR	20dB
		Target transmission rate R	20 M bps
Noise power spectral density N of channel ₀	-174 dBm/Hz
		Minimum transmit power P	1.74mW

As shown in fig. 4, when the target transmission rate increases, the minimum transmission power should be adjusted to be increased accordingly; when the signal-to-noise ratio increases, the minimum transmission power should be correspondingly adjusted to be smaller; the minimum transmit power adaptively varies with the target transmission rate and signal-to-noise ratio. When the signal-to-noise ratio is 10dB, the minimum transmission power P of the target transmission rate R of 20 Mbps is 1.81mW; the minimum transmission power P of 30 Mbps of the target transmission rate R is 3mW; the minimum transmission power P of the target transmission rate R of 40 Mbps is 5mW; the minimum transmission power P of 50 Mbps of the target transmission rate R is 6.5mW; the minimum transmission power P for the target transmission rate R of 80 mbps is 10.5mW. When the signal-to-noise ratio is 20dB, the minimum transmission power P of the target transmission rate R of 20 Mbps is 1.74mW; the minimum transmission power P of 30 Mbps of the target transmission rate R is 2.58mW; the minimum transmission power P of 40 Mbps of the target transmission rate R is 4.85mW; the minimum transmission power P of 50 Mbps of the target transmission rate R is 5.92mW; the minimum transmission power P for the target transmission rate R of 80 mbps is 9.98mW. System performance is affected by the signal-to-noise ratio and the target transmission rate, while the minimum transmit power is affected by the signal-to-noise ratio. The signal strength is enhanced by increasing the transmission power, thereby improving the signal-to-noise ratio. When the signal-to-noise ratio is high, the signal is more obvious relative to the noise, and the receiving end can read the signal more accurately, so that the transmission reliability and efficiency of the system are improved. A lower signal-to-noise ratio can result in mixing of the noise signal with the signal to be transmitted, introducing the possibility of bit errors and misinterpretation, thereby reducing the performance of the system. Under the condition of lower signal-to-noise ratio, in order to achieve high target transmission rate, the system needs to adopt more advanced modulation and coding technology to improve transmission efficiency and reduce error rate.

As an embodiment of the present invention, referring to fig. 5, a flowchart of a method of processing information is shown.

The execution subject of the information processing method is an information processing apparatus. For example, the information processing method is performed by a terminal device or a server or other processing device. The terminal device is a User Equipment (UE), a User Equipment, a terminal, a speaker, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle mounted device, a wearable device, or the like. In some implementations, the method of processing information is implemented by way of a processor invoking computer readable instructions stored in a memory. As shown in fig. 1, the method of processing information includes steps S10 to S70.

；

wherein,representing a first target user device score, +.>An evaluation score representing the relative movement speed between said UE and the UE for which co-frequency interference is formed, the corresponding weight being with mobility weight +.>A representation; />Indicating the relative positioning information score of the best base station measuring the UE, the corresponding weight is with the position weight +.>A representation; />A device status information score indicating the UE, a corresponding device status weight for weight +.>A representation;

As an embodiment of the present invention, referring to fig. 6, a deployment architecture diagram of mc, SC and UE.

As shown, the MBS is a macro cell base station, the SBS is a small cell base station, 5 small cells and 7 user equipments are deployed in 1 macro cell, and the user equipments in the small cells receive the useful signals of the small cell base station and receive the interference signals sent by the neighboring user equipments or receive the interference signals from the macro cell base station.

As an embodiment of the present invention, referring to fig. 7, a block diagram of an information processing apparatus is shown.

The information processing device includes: a first receiving module 21 for receiving measurement values of common frequency interference between a set of SCs within a MC communication distance range; a second receiving module 22, configured to receive signal strength measurement values of SCs from the UE group within the MC communication distance range; a first selection module 23, configured to select one SC in the subgroup as the best base station of the user equipment UE based on the signal strength measurement value received by the user equipment UE in the SC in the subgroup and the measurement value of the common frequency interference between the SCs in the subgroup; when the SC receives the highest CRS signal strength measurement value from the User Equipment (UE), a Cellular Reference Signal (CRS) is sent, and one base station is selected from a plurality of SCs; a third receiving module 24, configured to receive an instruction request sent by the UE, where the instruction request includes first location information and device status information; a second selecting module 25, configured to select a first target ue according to a mobility selection policy, the first location information, and the device state information, where the device state information of the first target ue is to meet a requirement of user equipment on-state, and the device state information includes mobile state information or current location information of a controlled ue; a sending module 26, configured to send a first control instruction to the first target ue, where the first control instruction is used to control the first target ue to move to a target location; an access module 27, configured to control the first target ue to access to a wireless network through the best base station selected in S30.

The disclosed embodiments also provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method. Computer readable storage medium is non-volatile computer readable storage medium.

The embodiment of the disclosure also provides an electronic device, which comprises: a processor; a memory for storing processor-executable instructions; wherein the processor is configured as the method described above.

The electronic device is provided as a terminal, server or other modality of device.

As one implementation of the present invention, referring to fig. 8, a block diagram of an electronic device 800 is provided according to an embodiment of the present disclosure.

For example, electronic device 800 is a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.

Referring to fig. 8, an electronic device 800 includes one or more of the following components: a processing component 802, a communication component 804, a sensor component 806, a display 808, a transmission device 810, a network interface 812, an input/output (I/O) interface 814, a memory 816, a power supply component 818, a multimedia component 820, an audio component 822, and a processor 824.

The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 includes one or more processors 824 to execute instructions to perform all or part of the steps of the methods described above. In addition, the processing component 802 includes one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 includes a multimedia module to facilitate interaction between the multimedia component 820 and the processing component 802.

Memory 816 is configured to store various types of data to support operations at electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 816 is implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read Only Memory (EEPROM), erasable Programmable Read Only Memory (EPROM), programmable Read Only Memory (PROM), read Only Memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply assembly 818 provides power to the various components of the electronic device 800. Power components 818 include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for electronic device 800.

The multimedia component 820 includes a screen between the electronic device 800 and the user that provides an output interface. In some embodiments, the screen includes a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen is implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor senses not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia assembly 820 includes a front camera and/or a rear camera. When the electronic device 800 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera receive external multimedia data. Each front camera and rear camera is a fixed optical lens system or has focal length and optical zoom capabilities.

The audio component 822 is configured to output and/or input audio signals. For example, the audio component 822 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals are further stored in memory 816 or transmitted via communication component 804. In some embodiments, the audio component 822 further includes a speaker for outputting audio signals.

I/O interface 814 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 806 includes one or more sensors for providing status assessment of various aspects of the electronic device 800. For example, the sensor assembly 806 detects the on/off state of the electronic device 800, the relative positioning of the components, such as the display and keypad of the electronic device 800, the sensor assembly 806 also detects a change in position of the electronic device 800 or a component of the electronic device 800, the presence or absence of a user's contact with the electronic device 800, the orientation or acceleration/deceleration of the electronic device 800, and a change in temperature of the electronic device 800. The sensor assembly 806 includes a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 806 also includes a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 806 can also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 804 is configured to facilitate communication between the electronic device 800 and other devices, either wired or wireless. The electronic device 800 accesses a wireless network based on a communication standard, such as WiFi,2G, 3G, 4G, or 5G, or a combination thereof. In one exemplary embodiment, the communication component 804 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 804 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 is implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 816, including computer program instructions executable by processor 824 of electronic device 800 to perform the above-described methods.

In summary, a method for processing information is applied to a server, and includes:

The signal strength measurement refers to the strength level of the received signal. Requiring signal strength measurements greater than-100 dBm means that the received signal is guaranteed to have a relatively high strength. A higher signal strength generally indicates better signal quality, providing a more stable, fast and reliable communication connection. This reduces the instances of weak or lost signals, improving the reliability of the communication and the user experience.

；

By comparing the signal strength measurements received by the user equipment, the best base station to be the user equipment is determined. The base station with the strongest signal strength is selected to provide better network connection and communication quality, and signal attenuation and transmission errors are reduced.

The interference level and network resource utilization are evaluated by measuring the co-frequency interference between the groups. Network resource optimization and adjustment are performed in this way to reduce interference and improve overall network performance. The spectrum utilization rate and the capacity are optimized by reasonably distributing spectrum resources and adjusting power.

Based on signal strength measurements and interference assessment, more efficient mobility management is achieved. When the user equipment moves from one network to another, the network automatically adjusts and optimizes the connection according to the measured values and interference conditions, ensuring a smooth handover and a seamless mobile experience.

the updating manner of the first location information in S40 includes:

s401, monitoring and receiving a position request message from the UE;

；

wherein, the method comprises the following steps of，/>，/>) Is->Position coordinates of the individual base stations, corresponding weights +.>Is calculated according to the distance>A weight value; setting the number of base stations to N, measured +.>The distance between the best base station and the first target user equipment is +.>；/>A natural number greater than 1;

s403, checking the privacy profile information of the calculated UE position;

；

the mobility selection policy in S50 includes:

In S50, according to the mobility selection policy and the device status information, the network adaptively allocates and manages resources according to the bandwidth, spectrum and power; the 5G SC only needs the transmitting power between a few milliwatts and tens of milliwatts, and the service range of the SC is in the range of tens of meters to hundreds of meters, so that the same spectrum resources are multiplexed between different SCs and between the SC and the MC; the method forms a heterogeneous structure with the traditional MC, and greatly improves the utilization rate of the system spectrum; the millimeter wave frequency band has high fading characteristics, and is combined with an SC technology to strengthen the signal propagation distance and improve the communication bandwidth;

；

And selecting the best target user equipment for connection by analyzing the mobility selection strategy, the first position information and the equipment state information. Improving the communication quality between devices, providing a more stable connection and a higher data transfer rate.

And according to the mobility selection strategy and the equipment state information, effective resource allocation and management are carried out. And selecting target user equipment with better signal strength to reduce signal interference and improve the network capacity utilization rate. And dynamically adjusting resource allocation according to the equipment state information so as to meet the requirements of different equipment and improve the overall network performance.

And the efficiency of the network is improved by selecting the first target user equipment and performing optimal control according to the mobility, the position and the state information of the equipment. Thus, network congestion and resource waste are reduced, and network throughput and overall performance are improved.

A method of processing information, comprising:

The MC sends an instruction to close SCs within the subgroup that do not meet the appropriate conditions.

When none of the SCs meets the appropriate conditions, the MC sends a new first instruction to cause the SCs in the group to send the DRS with increasing power.

The MC has relatively large coverage area and higher capacity, and can simultaneously support the communication demands of a plurality of users. It can provide a stable data transmission rate and communication quality. Due to the large coverage, the signal propagation distance is longer and the attenuation is smaller compared with a Micro cell (Micro cell) or a small cell (Pico cell) and the like. Thus, signal interference and quality loss are reduced, and communication quality and connection stability are improved.

The present disclosure is a system, method, and/or computer program product. The computer program product includes a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.

Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims

1. A method for processing information, applied to a server, comprising:

；

wherein,representing a first target user device score, +.>An evaluation score representing the relative movement speed between said UE and the UE for which co-frequency interference is formed, the corresponding weight being with mobility weight +.>A representation; />Indicating the relative positioning information score of the best base station measuring the UE, the corresponding weight is with the position weight +.>A representation; />A device status information score indicating the UE, a corresponding device status weight for weight +. >A representation;

2. The method of processing information according to claim 1, wherein: the selection of the best base station in S30 should satisfy the appropriate conditions:

；

3. The method of processing information according to claim 1, wherein: the updating manner of the first location information in S40 includes:

S401, monitoring and receiving a position request message from the UE;

；

wherein, the method comprises the following steps of，/>，/>) Is->Position coordinates of the individual base stations, corresponding weights +.>Is calculated according to the distance>A weight value; setting the number of base stations to N, measured +.>The distance between the best base station and the first target user equipment is +.>；A natural number greater than 1;

s403, checking the privacy profile information of the calculated UE position;

4. The method of processing information according to claim 1, wherein: the mobility selection policy in S50 includes:

5. The method of processing information according to claim 1, wherein: in S50, according to the mobility selection policy and the device status information, the network adaptively allocates and manages resources according to the bandwidth, spectrum and power; the 5G SC only needs the transmitting power between a few milliwatts and tens of milliwatts, and the service range of the SC is in the range of tens of meters to hundreds of meters, so that the same spectrum resources are multiplexed between different SCs and between the SC and the MC;

；

wherein, the channel capacity is C, and the unit is bit/second; the signal-to-noise ratio is SNR, the target transmission rate is R, and the unit is bit/second; n (N) ₀ Noise power spectral density for a channel; when the target transmission rate increases, the minimum transmission power should be adjusted correspondingly to increase; when the signal-to-noise ratio increases, the minimum transmission power should be correspondingly adjusted to be smaller; the minimum transmit power adaptively varies with the target transmission rate and signal-to-noise ratio.

6. The method of processing information according to claim 1, wherein: and S60, sending a first control instruction to the first target user equipment, wherein the first control instruction comprises a target position, a moving mode or mode, a moving speed, a moving priority and a moving duration.

7. A method of processing information, comprising:

8. An apparatus for processing information, comprising:

a first selection module, configured to, when a < -160dBm and b > -100dBm, comprehensively consider coverage, capacity requirement and topology of a cell, and select reference signal received power RSRP > -100dBm of SC in the group as an optimal base station of the user equipment UE;

9. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of the claims 1 to 7 by means of the computer program.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when executed by a processor, performs the method of any one of claims 1 to 7.