CN117914349A - Method, device and symbiotic system for adjusting spreading factor - Google Patents
Method, device and symbiotic system for adjusting spreading factor Download PDFInfo
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Abstract
The disclosure provides a method, a device and a symbiotic system for adjusting a spreading factor, and relates to the field of wireless communication. In a symbiotic system of a mobile cellular network and backscattering, determining the guarantee level of an area according to the traffic statistics information of the area managed by a base station of the mobile cellular network, and adjusting the period of a backscattering terminal transmitting a symbol in the area according to the guarantee level of the area so as to adjust a spreading factor and realize different symbiotic gains of areas with different guarantee levels of the mobile cellular network.
Description
Technical Field
The present disclosure relates to the field of wireless communications, and in particular, to a method, apparatus, and symbiotic system for adjusting a spreading factor.
Background
The environment backscatter communication (Ambient Backscatter Communication, amBC) technology utilizes signals in the environment to transmit information, does not occupy extra frequency spectrum, can save frequency spectrum resources, has low cost and low power consumption of reflection equipment, and is suitable for being applied to the Internet of things.
An environmental backscatter communication system using a mobile network air interface signal as an excitation signal is also called a symbiotic system (simply referred to as a "symbiotic system") of a mobile cellular network and backscatter. As shown in fig. 1, in a mobile cellular network and backscatter symbiotic system: the mobile communication system as a main system, including a mobile cellular network base station (PTx) and a mobile cellular network terminal (PRx), is a communication system including an active signal transmission function; the back scattering system is used as a secondary system and comprises a back scattering terminal (STx) and a back scattering receiver (SRx), the secondary system utilizes the radio frequency signal of the main system to carry out information transmission, and meanwhile, the secondary system can be used as a multipath component of the main system, so that the performance of the main system is improved, and the reciprocal symbiosis is realized.
As further shown in fig. 1, the baseband signals received by the mobile cellular terminal PRx are as follows:
Where s l (n) represents a baseband symbol transmitted by the mobile cellular network base station PTx, c (n) represents a baseband symbol transmitted by the backscatter terminal STx, u l (n) represents channel additive noise, y l (n) represents a baseband signal received by the mobile cellular network terminal PRx, and the method consists of three parts. h 0 denotes a direct link channel of PTx to PRx, h 1 denotes a forward link channel of PTx to STx, h' 2 denotes a reverse link channel of STx to PRx, and p denotes a transmit power of PTx. In addition, h 2 in fig. 1 represents a STx to SRx link channel, and h' 0 represents a PTx to SRx link channel.
The spreading factor L of the symbiotic system of mobile cellular network and backscatter is shown in fig. 2, where the symbol period of s l (n) is T s; the symbol period of c (n) is T c and T c＝L·Ts is assumed. Since s l (n) and c (n) are in a multiplication relation in the PRx received signal y l (n), l=0, 1.
Disclosure of Invention
The research finds that: the value of the spreading factor L will directly affect the symbiotic relationship of the primary/secondary systems, and when the value of L is larger, the reflective link can be regarded as a slowly varying multipath channel for the primary system, and multipath effect can be brought to the signal transmission of the primary system. The larger the value of L, the smaller the change of waveform characteristics of the main system signal in the reflection link, and the more obvious the multipath gain obtained by the main system. But a larger spreading factor L means a lower code rate for the backscatter system, and a smaller amount of data to be carried per unit time. The multipath gain of the primary system is related to the code rate of the secondary system by the cancellation relationship.
If the setting method of the spreading factor L of the existing symbiotic system is fixed, the optimal configuration of the symbiotic system performance cannot be realized.
In the disclosed embodiment, in a symbiotic system of a mobile cellular network and backscattering, a security level of a region is determined according to traffic statistics information of the region governed by a base station of the mobile cellular network, and a period of a backscattering terminal transmitting symbol in the region is adjusted according to the security level of the region so as to adjust a spreading factor, thereby realizing different symbiotic gains of regions with different security levels of the mobile cellular network.
Some embodiments of the present disclosure provide a method for adjusting a spreading factor, including:
in a symbiotic system of a mobile cellular network and backscattering, determining a guarantee level of an area governed by a base station of the mobile cellular network according to traffic statistical information of the area;
And according to the guarantee level of the area, adjusting the period of the back scattering terminal transmitting symbols in the area so as to adjust the spreading factor of the mobile cellular network base station transmitting symbol sequence relative to the back scattering terminal transmitting symbols.
In some embodiments, determining the level of assurance for the area comprises:
Determining a guarantee coefficient prediction model of a region according to traffic statistic information of a historical statistic period of the region governed by a mobile cellular network base station;
Predicting the guarantee coefficient of the region in a new statistical period by using a guarantee coefficient prediction model of the region;
And comparing the guarantee coefficient of the area in the new statistical period with each preset guarantee threshold to determine the guarantee level of the area in the new statistical period.
In some embodiments, determining the assurance coefficient prediction model for the region includes:
Determining a guarantee coefficient of a historical statistical period of a region according to traffic statistical information of the historical statistical period of the region managed by a mobile cellular network base station;
and determining a guarantee coefficient prediction model of the region according to the guarantee coefficient of the historical statistical period of the region and the statistical characteristics of the guarantee coefficient.
In some embodiments, determining the assurance coefficient for the historical statistics period for the region comprises:
respectively counting the service volume of each priority service in the historical counting period of the area governed by the mobile cellular network base station;
And determining the guarantee coefficient of the historical statistical period of the area by a weighted calculation method according to the traffic volume of each priority service and the corresponding guarantee weight in the historical statistical period of the area.
In some embodiments, determining the assurance coefficient prediction model for the region includes:
Determining a guarantee coefficient prediction model of the area by adopting conditional average operation according to the guarantee coefficient of the historical statistical period of the area and the statistical characteristics thereof,
The condition averaging operation comprises a first parameter, a second parameter and a third parameter, wherein the first parameter represents an averaged target sequence and is a guarantee coefficient of each historical statistical period of the area, the second parameter represents a condition which needs to be met by the averaged target sequence, the condition is determined according to the time of the guarantee coefficient of the historical statistical period of the area or the statistical property of an event, the third parameter represents the range of the averaged target sequence, and the condition is determined according to the time range or the event range related to the statistical property.
In some embodiments, adjusting the period of the backscatter terminals transmitting symbols in the region comprises:
and according to the security level of the area, and combining the total number of the security levels and the total types of the back scattering symbol periods, adjusting the period of the back scattering terminal transmitting the symbol in the area.
In some embodiments, adjusting the period of the backscatter terminals transmitting symbols in the region comprises:
and multiplying the guarantee level of the area in the new statistical period by the total type of each back scattering symbol period and dividing the total number of each guarantee level, carrying out rounding operation on the calculated numerical value, taking the rounding operation result as an index, and determining the period of the back scattering terminal transmitting the symbol in the new statistical period.
In some embodiments, each symbol period of the backscatter takes a value between a minimum symbol period of the backscatter determined according to a maximum processing power of the backscatter terminal and a maximum symbol period of the backscatter determined according to a minimum communication rate requirement of the backscatter terminal.
In some embodiments, further comprising: and sending the period adjustment information of the transmission symbols of the backscatter terminals in the area to the backscatter terminals and the backscatter receivers.
In some embodiments, the level of assurance of the region at the new statistical period is determined according to the following formula:
wherein, Representing the security level of the region at the new statistical period (j+1), B Th,l represents the first security threshold, i=1, 2.
Some embodiments of the present disclosure provide an apparatus for adjusting a spreading factor, including: a memory; and a processor coupled to the memory, the processor configured to perform the method of adjusting the spreading factor based on instructions stored in the memory.
Some embodiments of the present disclosure provide an apparatus for adjusting a spreading factor, including:
A determining unit configured to determine a security level of an area governed by a base station of a mobile cellular network according to traffic statistics information of the area in a symbiotic system of the mobile cellular network and the backscattering;
And the adjusting unit is configured to adjust the period of the transmission symbol of the back scattering terminal in the area according to the guarantee level of the area so as to adjust the spreading factor of the transmission symbol sequence of the mobile cellular network base station relative to the transmission symbol of the back scattering terminal.
In some embodiments, the determining unit is configured to
Determining a guarantee coefficient prediction model of a region according to traffic statistic information of a historical statistic period of the region governed by a mobile cellular network base station;
Predicting the guarantee coefficient of the region in a new statistical period by using a guarantee coefficient prediction model of the region;
And comparing the guarantee coefficient of the area in the new statistical period with each preset guarantee threshold to determine the guarantee level of the area in the new statistical period.
In some embodiments, the adjusting unit is configured to adjust the period of the back-scattering terminal transmitting the symbol in the area according to the security level of the area and in combination with the total number of the security levels and the total kind of the back-scattering symbol periods.
Some embodiments of the present disclosure provide an symbiotic system comprising:
A mobile communication system and a backscatter system configured to transmit information using radio frequency signals of the mobile communication system, or/and, as multipath components of the mobile communication system,
The mobile communication system comprises a mobile cellular network base station and a mobile cellular network terminal,
The backscatter system includes a backscatter terminal and a backscatter receiver,
The mobile cellular network base station is configured to perform the method of adjusting a spreading factor.
Some embodiments of the present disclosure provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of adjusting a spreading factor.
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The drawings that are required for use in the description of the embodiments or the related art will be briefly described below. The present disclosure will be more clearly understood from the following detailed description with reference to the accompanying drawings.
It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without inventive faculty.
Fig. 1 shows a schematic diagram of a symbiotic system of mobile cellular network and backscatter.
Fig. 2 shows a schematic diagram of the spreading factor of a symbiotic system of mobile cellular network and backscatter.
Fig. 3 shows another schematic diagram of a mobile cellular network and backscatter symbiotic system.
Fig. 4 illustrates a flow diagram of a method of adjusting a spreading factor in accordance with some embodiments of the present disclosure.
Fig. 5 illustrates a schematic structural diagram of an apparatus for adjusting spreading factors according to some embodiments of the present disclosure.
Fig. 6 illustrates a schematic structural diagram of an apparatus for adjusting spreading factors according to some embodiments of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure.
Unless specifically stated otherwise, the descriptions of "first," "second," "third," etc. in this disclosure are used for distinguishing between different objects and not for indicating a meaning of size or timing, etc.
Fig. 3 shows another schematic diagram of a mobile cellular network and backscatter symbiotic system.
As shown in fig. 3, the symbiotic system of mobile cellular network and backscatter includes: mobile cellular base station (PTx), mobile cellular terminal (PRx), backscatter terminal (STx) and backscatter receiver (SRx). In a symbiotic system of mobile cellular network and backscatter: the mobile communication system as a main system includes a mobile cellular network base station (PTx) and a mobile cellular network terminal (PRx); the backscatter system includes, as a sub-system, a backscatter terminal (STx) and a backscatter receiver (SRx). The backscatter system uses radio frequency signals of the mobile communication system for information transmission or/and as multipath components of the mobile communication system.
Mobile cellular base station (PTx): and transmitting a downlink signal, receiving an uplink signal, and realizing communication with the mobile cellular network terminal. In the present disclosure, the mobile cellular network base station (PTx) may also dynamically adjust the spreading factor, particularly in the fig. 4 embodiment.
Mobile cellular network terminal (PRx): and sending an uplink signal, receiving a downlink signal, and realizing communication with a mobile cellular network base station. In addition, the mobile cellular network signal reflected by the backscatter terminal may also be received as a multipath component of the host system.
Backscatter terminal (STx): and the mobile cellular network signal is received in the forward direction as an excitation signal, and the Internet of things data is modulated on the excitation signal and is transmitted in the reverse direction. In addition, the mobile cellular network signal may be reflected directly as a multipath component of the host system.
Backscatter receiver (SRx): demodulating the signal transmitted by the backscatter terminal.
Fig. 4 illustrates a flow diagram of a method of adjusting a spreading factor in accordance with some embodiments of the present disclosure.
As shown in fig. 4, the method for adjusting the spreading factor of this embodiment includes the following steps.
In step 410, mobile cellular network traffic is classified into N classes, denoted as P i = {1,2,..and N }, according to each traffic characteristic under the mobile cellular network base station (PTx), where i denotes a traffic type value, P i denotes a priority of the i-th class of traffic, and a smaller value denotes a higher priority.
In step 420, traffic of various types of traffic (i.e., priority traffic) in the area governed by the mobile cellular base station (PTx) is counted using T Sta as a counting period (T Sta＞＞Tc, meaning "far greater than")P i is the priority of the i-th service, and the service volume can be the throughput, the connection number or the time-frequency resource occupation number of the service, etc. of the class or the index value combination.The collection and statistics are typically performed by a mobile cellular network manager.
In step 430, according to the security weights and the traffic volumes of the various services, the security coefficient B (j) of the area governed by the mobile cellular network base station (PTx) in the statistical period is calculated, and the security coefficient is larger corresponding to the security level of the mobile cellular network.
According to the service volume and corresponding guarantee weight of each priority service in the historical statistics period of the area managed by the mobile cellular network base station (PTx), determining the guarantee coefficient of the historical statistics period of the area by a weighted calculation method.
B (j) is a guarantee coefficient of a region governed by a mobile cellular network base station (PTx) in a j-th statistical period; the service volume of the service with the priority of P i in the j-th statistical period; alpha i is/> The priority of the characterization is the guarantee weight of P i service, and alpha i is generally preset according to the importance of the service, and alpha i≥αi+1.
In step 440, the mobile cellular network base station (PTx) calculates a value B (j) based on the assurance coefficients of the historical statistics period, utilizing different traffic volumesAnd (3) establishing a guarantee coefficient prediction model Γ [ B (j) ] of a region governed by a mobile cellular network base station (PTx). After each new statistical period, iterative computation and correction of the predictive model can be performed in real time.
The mobile cellular network base station (PTx) utilizes different traffic volumes based on mature big data analysis and prediction algorithms, such as clustering algorithm, and the like according to the guarantee coefficient B (j) of the historical statistical periodThe statistical characteristics in time or event are used for gathering together the historical assurance coefficients with the same characteristics and predicting the new assurance coefficients with the same characteristics, so as to establish a assurance coefficient prediction model Γ [ B (j) ] of the area governed by the mobile cellular network base station (PTx).
And determining a guarantee coefficient prediction model of the area by adopting conditional average operation according to the guarantee coefficient and the statistical characteristic of the historical statistical period of the area governed by the mobile cellular network base station (PTx). The condition averaging operation comprises a first parameter, a second parameter and a third parameter, wherein the first parameter represents an averaged target sequence and is a guarantee coefficient of each historical statistical period of the area, the second parameter represents a condition which needs to be met by the averaged target sequence, the condition is determined according to the time of the guarantee coefficient of the historical statistical period of the area or the statistical property of an event, the third parameter represents the range of the averaged target sequence, and the condition is determined according to the time range or the event range related to the statistical property.
At step 450, M symbol periods T c,k, k=1, 2, M of the backscatter system are predefined, where T c,MAX≥Tc,k＞Tc,k+1≥Tc,MIN,Tc,MAX is primarily dependent on the minimum rate requirement of the backscatter terminal (STx) and T c,MIN is primarily dependent on the maximum processing capability of the backscatter terminal (STx), depending on the minimum communication rate requirement and the maximum processing capability of the backscatter terminal (STx). The smaller T c, the higher the backscatter system symbol rate, and the higher the backscatter terminal (STx) throughput requirements.
With the mobile cellular network symbol period T s fixed, the backscatter system M symbol periods correspond to the spreading factors of M symbiotic systems L k, k=1, 2.
In step 460, the mobile cellular network base station (PTx) predefines R security classes B Lev = {1,2, & gt, R }, r.ltoreq.m, according to the collected historical security coefficients and the sequence of symbol periods of the backscatter system, wherein a larger value of B Lev indicates a higher security class, R security classes B Lev correspond to R-1 security thresholds B Th,l, l=1, 2, & gt, R-1, wherein B MAX＞BTh,l+1＞BTh,l＞0,BMAX is the theoretical calculated maximum value of the security coefficients. Each guarantee threshold can be set according to the history guarantee coefficient and the service condition.
In step 470, the mobile cellular network base station (PTx) predicts the safeguard coefficient of the current statistical period (new statistical period) of the mobile cellular network base station (PTx) using the safeguard coefficient prediction model Γ [ B (j) ],Wherein B (j) is the calculated value of the guarantee coefficient of the jth statistical period,/>And the predicted value of the guarantee coefficient is the j+1th statistical period. Predicted value of guarantee coefficient/>And comparing with R-1 safeguard thresholds B Th,l to determine the safeguard level predicted value of the area governed by the mobile cellular network base station (PTx) in the current statistical period.
Wherein,The security level of the area governed by the mobile cellular network base station in the new statistical period (j+1), B Th,l represents the first security threshold, l=1, 2.
In the symbiotic system of the mobile cellular network and the backscattering, the security level of the area is determined according to the traffic statistics information of the area governed by the base station of the mobile cellular network in steps 410-480.
In step 480, the mobile cellular network base station (PTx) guarantees a level prediction value according to the mobile cellular network base station (PTx) of the current statistics periodAnd calculating an index k corresponding to the back scattering system symbol period T c,k (j+1) of the current statistical period by combining the total number of the security levels and the total type of the back scattering symbol periods.
Wherein rounddown (a, b) is a downward rounding function, a is the value to be rounded, and b is the decimal place.
In step 490, the mobile cellular base station (PTx) transmits a backscatter system symbol period T c,k (j+1) indication to the backscatter receiver (SRx) over the interface between the mobile cellular base station (PTx) and the backscatter receiver (SRx) during the current statistical period. Meanwhile, the T c,k (j+1) indication information is modulated on an excitation signal and is sent to a back scattering terminal (STx) through an air interface.
In step 4100, the backscatter terminal (STx) receives the excitation signal and demodulates the indication information of symbol period T c,k (j+1), and then adjusts its own transmit symbol period to T c,k (j+1) according to the indication information, thereby implementing adjustment of spreading factor L of the symbiotic system.
Through steps 490-4100, according to the security level of the area governed by the mobile cellular network base station, the period of the transmission symbols of the backscatter terminals in the area is adjusted to adjust the spreading factor of the transmission symbol sequences of the mobile cellular network base station relative to the transmission symbols of the backscatter terminals.
In the disclosed embodiment, in a symbiotic system of a mobile cellular network and backscattering, a security level of a region is determined according to traffic statistics information of the region governed by a base station of the mobile cellular network, and a period of a backscattering terminal transmitting symbol in the region is adjusted according to the security level of the region so as to adjust a spreading factor, thereby realizing different symbiotic gains of regions with different security levels of the mobile cellular network.
The method of adjusting the spreading factor of the embodiment of fig. 4 is further described below by taking an example of a symbiotic system of LTE (Long Term Evolution ) and the back-scattered internet of things.
Referring to step 410, the lte base station opens two types of services GBR and NonGBR, sets its service priority P GBR＝1,PNonGBR =2;
Referring to step 420, a statistics period T Sta =3600 seconds is set, and the throughput M 1 (J) and M 2 (J) of two types of traffic of GBR and NonGBR of the LTE base station are counted in J consecutive periods, where j= {1,2,., J };
Referring to step 430, α 1＝0.7,α2 =0.3 is set, the guarantee coefficient B (J) of the LTE base station in J consecutive periods is calculated,
Where j= {1,2,..j }.
Referring to step 440, according to the statistical characteristics of the LTE base station traffic at different times of the day, a guarantee coefficient prediction model is determined as
AVERAGEIF (a, b, c) is conditional averaging operation, a is an average target sequence, b is a condition to be satisfied by the average target sequence, and c is a range of the average target sequence; mod (d, e) is a modulo operation, d is a modulo target number, and e is a modulus; i is a positive integer and represents the sequence number of the statistical period.
Referring to step 450, the symbol period T s = 1ms/14 = 71.43 μs of the lte base station. Three symbol periods T c,k＝{3Ts,7Ts,14Ts for the backscatter system are predefined, corresponding to three symbiotic system spreading factors L k = {3,7, 14}.
Referring to step 460, the lte base station predefines two security levels B Lev = {1,2}, corresponding to setting a security threshold B Th, where B MAX＞BTh＞0,BMAX is the theoretical calculated maximum value of the security coefficient.
Referring to step 470, the lte base station will guarantee the coefficient predictorsComparing with B Th, determining a predicted value of the security level:
Referring to step 480, the lte base station calculates k corresponding to the backscatter system symbol period T c,k (j+1):
Wherein rounddown (a, b) is a downward rounding function, a is the value to be rounded, and b is the decimal place.
Referring to step 490, the LTE base station transmits the indication information of the symbol period T c,k (j+1) of the backscatter system to the backscatter receiver through the interface between the LTE base station and the backscatter receiver in the current statistical period. Meanwhile, the T c,k (j+1) indication information is modulated on an excitation signal and is sent to a back scattering terminal through an air interface.
Referring to step 4100, the backscatter terminal receives the excitation signal and demodulates the indication information of symbol period T c,k (j+1), and then adjusts its own transmit symbol period to T c,k (j+1) according to the indication information, thereby implementing adjustment of the spreading factor L of the symbiotic system.
Fig. 5 illustrates a schematic structural diagram of an apparatus for adjusting spreading factors according to some embodiments of the present disclosure.
As shown in fig. 5, the apparatus 500 for adjusting a spreading factor of this embodiment includes:
A determining unit 510 configured to determine, in a symbiotic system of the mobile cellular network and the backscatter, a security level of a region governed by a base station of the mobile cellular network according to traffic statistics information of the region;
An adjusting unit 520, configured to adjust the period of the transmission symbol of the backscatter terminal in the area according to the guarantee level of the area, so as to adjust the spreading factor of the transmission symbol sequence of the mobile cellular network base station relative to the transmission symbol of the backscatter terminal.
A determining unit 510 configured to:
Determining a guarantee coefficient prediction model of a region according to traffic statistic information of a historical statistic period of the region governed by a mobile cellular network base station;
Predicting the guarantee coefficient of the region in a new statistical period by using a guarantee coefficient prediction model of the region;
And comparing the guarantee coefficient of the area in the new statistical period with each preset guarantee threshold to determine the guarantee level of the area in the new statistical period.
A determining unit 510 configured to: determining a prediction model of the assurance coefficient of the region comprises:
Determining a guarantee coefficient of a historical statistical period of a region according to traffic statistical information of the historical statistical period of the region managed by a mobile cellular network base station;
and determining a guarantee coefficient prediction model of the region according to the guarantee coefficient of the historical statistical period of the region and the statistical characteristics of the guarantee coefficient.
A determining unit 510 configured to: determining a assurance coefficient for a historical statistical period of the region includes:
respectively counting the service volume of each priority service in the historical counting period of the area governed by the mobile cellular network base station;
And determining the guarantee coefficient of the historical statistical period of the area by a weighted calculation method according to the traffic volume of each priority service and the corresponding guarantee weight in the historical statistical period of the area.
A determining unit 510 configured to: determining a prediction model of the assurance coefficient of the region comprises:
Determining a guarantee coefficient prediction model of the area by adopting conditional average operation according to the guarantee coefficient of the historical statistical period of the area and the statistical characteristics thereof,
The condition averaging operation comprises a first parameter, a second parameter and a third parameter, wherein the first parameter represents an averaged target sequence and is a guarantee coefficient of each historical statistical period of the area, the second parameter represents a condition which needs to be met by the averaged target sequence, the condition is determined according to the time of the guarantee coefficient of the historical statistical period of the area or the statistical property of an event, the third parameter represents the range of the averaged target sequence, and the condition is determined according to the time range or the event range related to the statistical property.
And an adjusting unit 520 configured to adjust the period of the back-scattering terminal transmitting the symbol in the area according to the security level of the area and in combination with the total number of the security levels and the total kind of the back-scattering symbol periods.
And an adjusting unit 520 configured to multiply the security level of the area in the new statistical period by the total kinds of the back scattering symbol periods and divide the total number of the security levels, perform rounding operation on the calculated values, and determine the period of the back scattering terminal transmitting the symbol in the new statistical period by using the rounding operation result as an index.
An adjustment unit 520 is configured to send the period adjustment information of the backscatter terminal transmit symbols in the area to the backscatter terminal and the backscatter receiver.
Fig. 6 illustrates a schematic structural diagram of an apparatus for adjusting spreading factors according to some embodiments of the present disclosure.
As shown in fig. 6, the apparatus 600 for adjusting a spreading factor of this embodiment includes: a memory 610 and a processor 620 coupled to the memory 610, the processor 620 being configured to perform the method of adjusting the spreading factor in any of the foregoing embodiments based on instructions stored in the memory 610.
(1) A method of adjusting a spreading factor, comprising:
in a symbiotic system of a mobile cellular network and backscattering, determining a guarantee level of an area governed by a base station of the mobile cellular network according to traffic statistical information of the area;
And according to the guarantee level of the area, adjusting the period of the back scattering terminal transmitting symbols in the area so as to adjust the spreading factor of the mobile cellular network base station transmitting symbol sequence relative to the back scattering terminal transmitting symbols.
(2) On the basis of (1), determining the security level of the area includes:
Determining a guarantee coefficient prediction model of a region according to traffic statistic information of a historical statistic period of the region governed by a mobile cellular network base station;
Predicting the guarantee coefficient of the region in a new statistical period by using a guarantee coefficient prediction model of the region;
And comparing the guarantee coefficient of the area in the new statistical period with each preset guarantee threshold to determine the guarantee level of the area in the new statistical period.
(3) On the basis of (2), determining a guarantee coefficient prediction model of the region includes:
Determining a guarantee coefficient of a historical statistical period of a region according to traffic statistical information of the historical statistical period of the region managed by a mobile cellular network base station;
and determining a guarantee coefficient prediction model of the region according to the guarantee coefficient of the historical statistical period of the region and the statistical characteristics of the guarantee coefficient.
(4) On the basis of (3), determining a assurance coefficient of a historical statistics period of the region includes:
respectively counting the service volume of each priority service in the historical counting period of the area governed by the mobile cellular network base station;
And determining the guarantee coefficient of the historical statistical period of the area by a weighted calculation method according to the traffic volume of each priority service and the corresponding guarantee weight in the historical statistical period of the area.
(5) On the basis of (3), determining a guarantee coefficient prediction model of the region includes:
Determining a guarantee coefficient prediction model of the area by adopting conditional average operation according to the guarantee coefficient of the historical statistical period of the area and the statistical characteristics thereof,
The condition averaging operation comprises a first parameter, a second parameter and a third parameter, wherein the first parameter represents an averaged target sequence and is a guarantee coefficient of each historical statistical period of the area, the second parameter represents a condition which needs to be met by the averaged target sequence, the condition is determined according to the time of the guarantee coefficient of the historical statistical period of the area or the statistical property of an event, the third parameter represents the range of the averaged target sequence, and the condition is determined according to the time range or the event range related to the statistical property.
(6) On the basis of (1), adjusting the period of the transmission symbols of the backscatter terminals in the area comprises: and according to the security level of the area, and combining the total number of the security levels and the total types of the back scattering symbol periods, adjusting the period of the back scattering terminal transmitting the symbol in the area.
(7) On the basis of (6), adjusting the period of the transmission symbols of the backscatter terminals in said area comprises: and multiplying the guarantee level of the area in the new statistical period by the total type of each back scattering symbol period and dividing the total number of each guarantee level, carrying out rounding operation on the calculated numerical value, taking the rounding operation result as an index, and determining the period of the back scattering terminal transmitting the symbol in the new statistical period.
(8) On the basis of (6), each symbol period of the backscatter takes a value between the minimum symbol period and the maximum symbol period of the backscatter,
The minimum symbol period of the backscatter is determined based on the maximum processing capacity of the backscatter terminal,
The maximum symbol period for the backscatter is determined based on the minimum communication rate requirement of the backscatter terminal.
(9) On the basis of (1), the method further comprises: and sending the period adjustment information of the transmission symbols of the backscatter terminals in the area to the backscatter terminals and the backscatter receivers.
(10) On the basis of (2), determining the guarantee level of the area in a new statistical period according to the following formula:
wherein, Representing the security level of the region at the new statistical period (j+1), B Th,l represents the first security threshold, i=1, 2.
The apparatus 600 may also include an input-output interface 630, a network interface 640, a storage interface 650, and the like. These interfaces 630, 640, 650 and the memory 610 and processor 620 may be connected by, for example, a bus 660.
The memory 610 may include, for example, system memory, fixed nonvolatile storage media, and the like. The system memory stores, for example, an operating system, application programs, boot Loader (Boot Loader), and other programs.
Processor 620 may be implemented as discrete hardware components such as a general purpose processor, a digital signal processor (DIGITAL SIGNAL processor), an Application SPECIFIC INTEGRATED Circuit (ASIC), a field programmable gate array (Field Programmable GATE ARRAY, FPGA), or other programmable logic device, discrete gates, or transistors.
The input/output interface 630 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. Network interface 640 provides a connection interface for various networking devices. The storage interface 650 provides a connection interface for external storage devices such as SD cards, U-discs, and the like. Bus 660 may employ any of a variety of bus architectures. For example, bus structures include, but are not limited to, an industry standard architecture (Industry Standard Architecture, ISA) bus, a micro channel architecture (micro ChannelArchitecture, MCA) bus, and a peripheral component interconnect (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus.
The means 500, 600 for adjusting the spreading factor may be, for example, a mobile cellular network base station or one of the mobile cellular network base stations.
The disclosed embodiments propose a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method of adjusting a spreading factor of the embodiments.
It will be appreciated by those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more non-transitory computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts 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 description of the preferred embodiments of the present disclosure is not intended to limit the disclosure, but rather to enable any modification, equivalent replacement, improvement or the like, which fall within the spirit and principles of the present disclosure.
Claims (16)
1.A method of adjusting a spreading factor, comprising:
in a symbiotic system of a mobile cellular network and backscattering, determining a guarantee level of an area governed by a base station of the mobile cellular network according to traffic statistical information of the area;
And according to the guarantee level of the area, adjusting the period of the back scattering terminal transmitting symbols in the area so as to adjust the spreading factor of the mobile cellular network base station transmitting symbol sequence relative to the back scattering terminal transmitting symbols.
2. The method of claim 1, determining a security level for the area comprising:
Determining a guarantee coefficient prediction model of a region according to traffic statistic information of a historical statistic period of the region governed by a mobile cellular network base station;
Predicting the guarantee coefficient of the region in a new statistical period by using a guarantee coefficient prediction model of the region;
And comparing the guarantee coefficient of the area in the new statistical period with each preset guarantee threshold to determine the guarantee level of the area in the new statistical period.
3. The method of claim 2, determining a assurance coefficient prediction model for the region comprising:
Determining a guarantee coefficient of a historical statistical period of a region according to traffic statistical information of the historical statistical period of the region managed by a mobile cellular network base station;
and determining a guarantee coefficient prediction model of the region according to the guarantee coefficient of the historical statistical period of the region and the statistical characteristics of the guarantee coefficient.
4. A method according to claim 3, determining a assurance coefficient for a historical statistics period of the region comprising:
respectively counting the service volume of each priority service in the historical counting period of the area governed by the mobile cellular network base station;
And determining the guarantee coefficient of the historical statistical period of the area by a weighted calculation method according to the traffic volume of each priority service and the corresponding guarantee weight in the historical statistical period of the area.
5. A method according to claim 3, determining a prediction model of a assurance coefficient for the region comprising:
Determining a guarantee coefficient prediction model of the area by adopting conditional average operation according to the guarantee coefficient of the historical statistical period of the area and the statistical characteristics thereof,
The condition averaging operation comprises a first parameter, a second parameter and a third parameter, wherein the first parameter represents an averaged target sequence and is a guarantee coefficient of each historical statistical period of the area, the second parameter represents a condition which needs to be met by the averaged target sequence, the condition is determined according to the time of the guarantee coefficient of the historical statistical period of the area or the statistical property of an event, the third parameter represents the range of the averaged target sequence, and the condition is determined according to the time range or the event range related to the statistical property.
6. The method of claim 1, adjusting a period of a symbol transmitted by a backscatter terminal in the region comprises:
and according to the security level of the area, and combining the total number of the security levels and the total types of the back scattering symbol periods, adjusting the period of the back scattering terminal transmitting the symbol in the area.
7. The method of claim 6, adjusting the period of the backscatter terminal transmitting symbols in the area comprises:
and multiplying the guarantee level of the area in the new statistical period by the total type of each back scattering symbol period and dividing the total number of each guarantee level, carrying out rounding operation on the calculated numerical value, taking the rounding operation result as an index, and determining the period of the back scattering terminal transmitting the symbol in the new statistical period.
8. The method of claim 6, wherein each symbol period of the backscatter takes a value between a minimum symbol period and a maximum symbol period of the backscatter,
The minimum symbol period of the backscatter is determined based on the maximum processing capacity of the backscatter terminal,
The maximum symbol period for the backscatter is determined based on the minimum communication rate requirement of the backscatter terminal.
9. The method of claim 1, further comprising:
and sending the period adjustment information of the transmission symbols of the backscatter terminals in the area to the backscatter terminals and the backscatter receivers.
10. The method of claim 2, determining a level of assurance for the region at a new statistical period according to the formula:
wherein, Representing the security level of the region in the new statistical period (j+1), B Th,l represents the first security threshold, l=1, 2, …, R-1, R represents the total number of security levels, and B MAX>BTh,l+1>BTh,l>0,BMAX is the maximum value of the security coefficient.
11. An apparatus for adjusting a spreading factor, comprising:
A memory; and
A processor coupled to the memory, the processor configured to perform the method of adjusting a spreading factor of any of claims 1-10 based on instructions stored in the memory.
12. An apparatus for adjusting a spreading factor, comprising:
A determining unit configured to determine a security level of an area governed by a base station of a mobile cellular network according to traffic statistics information of the area in a symbiotic system of the mobile cellular network and the backscattering;
And the adjusting unit is configured to adjust the period of the transmission symbol of the back scattering terminal in the area according to the guarantee level of the area so as to adjust the spreading factor of the transmission symbol sequence of the mobile cellular network base station relative to the transmission symbol of the back scattering terminal.
13. The apparatus according to claim 12, the determination unit configured to
Determining a guarantee coefficient prediction model of a region according to traffic statistic information of a historical statistic period of the region governed by a mobile cellular network base station;
Predicting the guarantee coefficient of the region in a new statistical period by using a guarantee coefficient prediction model of the region;
And comparing the guarantee coefficient of the area in the new statistical period with each preset guarantee threshold to determine the guarantee level of the area in the new statistical period.
14. The apparatus of claim 12, the adjustment unit configured to
And according to the security level of the area, and combining the total number of the security levels and the total types of the back scattering symbol periods, adjusting the period of the back scattering terminal transmitting the symbol in the area.
15. A symbiotic system comprising:
A mobile communication system and a backscatter system configured to transmit information using radio frequency signals of the mobile communication system, or/and, as multipath components of the mobile communication system,
The mobile communication system comprises a mobile cellular network base station and a mobile cellular network terminal,
The backscatter system includes a backscatter terminal and a backscatter receiver,
The mobile cellular network base station is configured to perform the method of adjusting a spreading factor of any of claims 1-10.
16. A non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of adjusting a spreading factor of any of claims 1-10.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211239927.1A CN117914349A (en) | 2022-10-11 | 2022-10-11 | Method, device and symbiotic system for adjusting spreading factor |
| PCT/CN2023/119118 WO2024078259A1 (en) | 2022-10-11 | 2023-09-15 | Spreading factor adjustment method, apparatus, and symbiotic system |
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| CN202211239927.1A CN117914349A (en) | 2022-10-11 | 2022-10-11 | Method, device and symbiotic system for adjusting spreading factor |
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| CN109451591B (en) * | 2018-12-27 | 2020-02-18 | 电子科技大学 | Transmission method of symbiotic system fusing cellular network and Internet of things |
| GB2597337A (en) * | 2020-07-16 | 2022-01-26 | Univ Heriot Watt | Long range ambient backscatter apparatus |
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