CN108513328B - Robust sharing access method and device for partially overlapped channels of mobile communication equipment - Google Patents
Robust sharing access method and device for partially overlapped channels of mobile communication equipment Download PDFInfo
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Abstract
The embodiment of the application provides a method and a device for robustly sharing and accessing a partially overlapped channel of mobile communication equipment, belonging to the technical field of communication. The method comprises the following steps: aiming at each channel, calculating the network throughput of the current mobile communication equipment accessing the channel; characterizing the calculated network throughput of the current mobile communication equipment accessing the channel by using the fuzzy number to obtain the fuzzy number corresponding to each channel; performing ambiguity resolution processing on the ambiguity number corresponding to each channel to obtain the priority value of each channel; and accessing the channel with the highest priority value in each channel. The invention can improve the utilization rate of frequency spectrum resources and the network communication performance.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for robustly sharing access to partially overlapping channels in a mobile communication device system.
Background
In recent years, with the development of wireless communication technology, application scenarios of multiple communication devices to establish a communication network are increasing, for example, a multi-drone communication system. Each communication device in the multi-communication-device communication network needs to access a channel for communication, if the number of the communication devices is large, a large amount of spectrum resources are occupied, the spectrum resources are limited, and if the channel accessed by the communication devices is unreasonable in selection, the problems of low utilization rate of the spectrum of the multi-communication-device communication network, low network communication performance and the like are caused, so that the channel selection needs to be performed by a spectrum sharing technology.
The existing spectrum sharing technology is based on a determined game theory, models a multi-user channel access optimization problem into a non-cooperative game for analysis, and aims to maximize network throughput or minimize network interference. Describing by taking distributed spectrum access as an example, aiming at each device, the device randomly selects a channel for access according to a channel selection probability vector; comparing the signal-to-interference ratio of the selected channel with a signal-to-interference ratio required for data transmission; selecting whether to access the current selected channel according to the relationship between the two: if so, accessing; otherwise, no access is performed.
However, for the multi-mobile communication device communication system, the position of the mobile communication device is changed in real time, so the value of the relevant network parameter of the access channel is uncertain, the existing spectrum sharing technology selects the channel based on the determined game theory, and the multi-mobile communication device communication system cannot be ensured to select reasonable channel access according to the uncertain value, which also causes the unreasonable channel selection of the multi-mobile communication device communication system access, further causes the problems of low spectrum utilization rate, low network communication performance and the like of the multi-mobile communication device communication system.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for robustly sharing and accessing a part of overlapped channels of a mobile communication equipment system, so that the utilization rate of frequency spectrum resources and the network communication performance are improved. The specific technical scheme is as follows:
in a first aspect, a method for mobile communication device to share access robustly by partially overlapping channels is provided, and the method is applied to a mobile communication device, and includes:
for each channel, calculating the network throughput of the mobile communication equipment accessing the channel;
using fuzzy numbers to represent the calculated network throughput of the mobile communication equipment accessing the channel at present, and obtaining fuzzy numbers corresponding to each channel;
performing deblurring processing on the fuzzy number corresponding to each channel to obtain the priority value of each channel;
and accessing the channel with the maximum priority value in each channel.
Optionally, the calculating the network throughput of the current mobile communication device accessing the channel includes:
and determining the network throughput of the mobile communication equipment accessing the channel at present according to the data transmission rate of the mobile communication equipment accessing the channel at present, interference factors between the channel and the channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
Optionally, after accessing the channel with the largest priority value in the channels, the method further includes:
calculating the current data transmission rate of the mobile communication equipment;
if the data transmission rate is greater than a preset rate threshold value, keeping the current access channel unchanged; if the data rate is less than the preset rate threshold value, accessing a target channel, wherein the target channel is a channel orthogonal to other channels accessed by the mobile communication equipment, and returning to the step of calculating the current data transmission rate;
calculating the data transmission rate difference of the adjacent time slots of the mobile communication equipment;
if the data transmission rate difference is smaller than a preset data rate difference threshold value, the channel is successfully accessed; if the data transmission rate difference is larger than the preset data rate difference threshold, closing the current access channel, and returning to the step of calculating the network throughput of the mobile communication equipment accessing the channel aiming at each channel.
Optionally, the step of characterizing the calculated network throughput of the mobile communication device accessing the channel by using an ambiguity number to obtain an ambiguity number corresponding to each channel includes:
aiming at each channel, calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset mobile communication equipment position dynamic deviation value and a preset network throughput calculation formula;
and determining the fuzzy number corresponding to the channel according to the network throughput of the mobile communication equipment accessing the channel, the left deviation value of the network throughput and the right deviation value of the network throughput.
Optionally, the performing a deblurring process on the ambiguity number corresponding to each channel to obtain the priority value of each channel includes:
aiming at each channel, calculating an evaluation value of the channel according to a membership function of a fuzzy number corresponding to the channel, a membership function of a preset reference fuzzy number and a satisfaction function;
determining a relative value of the channel relative to other channels according to the evaluation value of the channel and the maximum evaluation value of the evaluation values of the channels;
calculating a channel fuzzy preference relationship matrix according to the determined relative value of each channel relative to other channels and a preset fuzzy preference relationship matrix calculation formula;
and calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset relevant parameters and a preset priority value calculation algorithm.
In a second aspect, an apparatus for mobile communication device to share access robustly in partially overlapping channels is provided, the apparatus is applied to a mobile communication device, and the apparatus includes:
a first calculation module, configured to calculate, for each channel, a network throughput of the mobile communication device currently accessing the channel;
a second calculation module, configured to use a fuzzy number to represent the calculated network throughput of the current mobile communication device accessing the channel, so as to obtain a fuzzy number corresponding to each channel;
the ambiguity resolution module is used for performing ambiguity resolution on the ambiguity numbers corresponding to the channels to obtain the priority values of the channels;
and the access module is used for accessing the channel with the maximum priority value in each channel.
Optionally, the first calculating module is specifically configured to: and determining the network throughput of the mobile communication equipment accessing the channel at present according to the data transmission rate of the mobile communication equipment accessing the channel at present, interference factors between the channel and the channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
Optionally, the apparatus further comprises:
a third calculating module, configured to calculate a current data transmission rate of the mobile communication device;
the first comparison module is used for keeping the current access channel unchanged if the data transmission rate is greater than a preset rate threshold; if the data rate is less than the preset rate threshold value, accessing a target channel, wherein the target channel is a channel orthogonal to other channels accessed by the mobile communication equipment, and returning to the step of calculating the current data transmission rate;
the fourth calculation module is used for calculating the data transmission rate difference value of the adjacent time slots of the mobile communication equipment;
the second comparison module is used for successfully accessing the channel if the data transmission rate difference value is smaller than a preset data rate difference value threshold value; if the data transmission rate difference is larger than the preset data rate difference threshold, closing the current access channel, and returning to the step of calculating the network throughput of the mobile communication equipment accessing the channel aiming at each channel.
Optionally, the fuzzy number is a triangular fuzzy number, and the second calculating module includes:
the first calculation unit is used for calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset mobile communication equipment position dynamic deviation value and a preset network throughput calculation formula aiming at each channel;
a first determining unit, configured to determine, according to the network throughput of the mobile communication device accessing the channel, the left deviation value of the network throughput, and the right deviation value of the network throughput, an ambiguity number corresponding to the channel.
Optionally, the deblurring module includes:
the second calculation unit is used for calculating the evaluation value of each channel according to the membership function of the fuzzy number corresponding to the channel, the membership function of a preset reference fuzzy number and the satisfaction function;
a third calculation unit configured to determine a relative value of the channel with respect to other channels based on a largest evaluation value of the evaluation values of the channel and the evaluation values of the channels;
a fourth calculating unit, configured to calculate a channel fuzzy preference relationship matrix according to the determined relative value of each channel with respect to other channels and a preset fuzzy preference relationship matrix calculation formula;
and the fifth calculating unit is used for calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset related parameters and the preset priority value calculating algorithm.
The invention provides a method for steadily sharing access of partially overlapped channels of mobile communication equipment, which introduces fuzzy numbers to represent uncertain information in a network environment of high-dynamic mobile communication equipment, carries out de-fuzzy processing on the fuzzy numbers to obtain the priority value of each channel selected by the mobile communication equipment, and selects the channel with the maximum priority value for access on the basis. The fuzzy theory is introduced into the game theory, so that the limitation of uncertain information on an algorithm is overcome, and the spectrum resource utilization rate and the network communication performance can be improved on the premise of ensuring the data transmission rate requirement of the mobile communication equipment.
Of course, it is not necessary for any product or method of the present application to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a diagram of a multi-drone communication system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for robust shared access of partially overlapping channels of a mobile communication device according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for characterizing network throughput with fuzzy numbers according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for deblurring according to an embodiment of the present invention;
fig. 5 is a flowchart of a processing method after channel access according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus for robust shared access of partially overlapping channels of a mobile communication device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an apparatus for robust shared access of partially overlapping channels of a mobile communication device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a mobile communication device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the invention also provides a method for the mobile communication equipment to robustly share and access the partially overlapped channels, which is applied to the mobile communication equipment. For example, in a multi-drone communication system, drones are divided into a plurality of clusters, and each cluster has one cluster head drone and a plurality of cluster members without drones. For each cluster, the cluster head drone communicates with the ground control center, and the cluster member drones communicate with the cluster head, as shown in fig. 1. The method provided by the embodiment of the invention can be applied to each unmanned aerial vehicle, so that each unmanned aerial vehicle can select a proper channel, and the network communication performance of a multi-unmanned aerial vehicle communication system is improved.
As shown in fig. 2, the method may include the steps of:
step 201: for each channel, the network throughput of the current mobile communication device accessing the channel is calculated.
In implementation, for each channel, the mobile communication device may calculate the network throughput for accessing the channel, and the specific calculation manner may be a calculation manner in the prior art.
Optionally, an embodiment of the present invention provides a method for calculating network throughput, where the specific processing procedure is as follows: and obtaining the network throughput of the current mobile communication equipment accessing the channel according to the data transmission rate of the current mobile communication equipment accessing the channel, interference factors between the channel and channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
In implementation, for each channel, the mobile communication device calculates the network throughput for accessing the channel according to equations (1) - (6).
Wherein, Tn(m) network throughput for mobile communication device n access channel m, βnE {0,1} represents the make-and-break of the communication link, knIndicating the number of hops, IF, between the transmitting and receiving endsn,mRepresenting the total interference factor, r, of a mobile communication device n accessing a channel mn(m) the data rate provided for channel m.
Wherein, IFn,mRepresenting the total interference factor of an access channel m of a mobile communication device N, N representing the set of mobile communication devices, IF (delta)j,i,dj,i) Representing the interference factor, δ, between the mobile communication device n accessing the channel m and the mobile communication device j accessing the channel ij,iIs the channel spacing between channel m and channel i, dj,iDenotes the distance, a, between mobile communication device n and mobile communication device jjA set of channels accessed for mobile communication device j.
The interference factor IF (δ, d) between the mobile communication device n access channel m and the mobile communication device j access channel i is solved as follows:
the correspondence between the interference distance of the user access channel and the channel interval δ of the user access is shown in table 1.
| Channel spacing delta | 0 | 1 | 2 | 3 | 4 | ≥5 |
| Interference distance IR (delta) | 132.6 | 90.8 | 75.9 | 46.9 | 32.1 | 0 |
TABLE 1
IF the space distance between the mobile communication device n accessing the channel m and the mobile communication device j accessing the channel i is d, and the space between the channel m and the channel i is delta, IF (delta, d) is 0 when delta is larger than or equal to 5 or d is larger than IR (delta); IF (δ, d) is IR (δ)/d when 0 ≦ δ <5 and d ≦ IR (δ); IF (δ, d) ∞when0 ≦ δ <5 and d ═ 0.
rn(m)＝Blog2(1+γn,m) (3)
Wherein r isn(m) data rate, γ, provided for channel mn,mThe signal to interference plus noise ratio of channel m is accessed for mobile communication equipment n, and B is the bandwidth of channel m.
Wherein, PnFor the transmission power of the mobile communication device n, Hn,mChannel gain, I, for a mobile communication device n accessing a channel mn,mIndicating that the mobile communication device n access channel m is interfered by other drone access channels,
is additive white gaussian noise for channel m.
Wherein, PnFor the transmission power of the mobile communication device n, Hn,mChannel gain for accessing channel m for mobile communication device n, i and n representing mobile communication devices, dn,iRepresents the distance between mobile communication device i and mobile communication device n, and IR (δ) represents the interference factor between mobile communication device i and mobile communication device n.
Wherein K is a constant characterizing antenna gain and average channel attenuation; epsilonn,mA scaling factor representing the effect of the channel on the received power reduction; d0For the reference distance, the value of the indoor environment is 1-10 meters, and the value of the outdoor environment is 10-100 meters; dnIs the distance of the receiving and transmitting end;
is the path loss exponent.
Step 202: and aiming at each channel, representing the calculated network throughput of the current mobile communication equipment accessing the channel by using the fuzzy number to obtain the fuzzy number corresponding to each channel.
In implementation, for each channel, the mobile communication device uses a triangular ambiguity number or a trapezoidal ambiguity number to characterize the calculated network throughput accessing the channel, and obtains an ambiguity number corresponding to each channel. For example, when the network throughput of the mobile communication device n accessing the channel m is expressed by a triangular ambiguity number, the ambiguity number corresponding to the channel m is
Wherein, Tn(m) network throughput for mobile communication device access channel m,
a left-hand deviation value for the network throughput,
is the right deviation value of the network throughput.
Optionally, referring to fig. 3, the ambiguity number is a triangular ambiguity number, and the ambiguity number represents the calculated network throughput of the current mobile communication device accessing the channel, so as to obtain the ambiguity number corresponding to each channel, where the specific processing steps are as follows:
step 301: and aiming at each channel, calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset dynamic deviation value of the position of the mobile communication equipment and a preset network throughput calculation formula.
In the implementation, assuming that the current mobile communication device is n, the access channel m, and the preset mobile communication device location dynamic deviation value is Δ d. When considering the influence of Δ d, the mobile communication device n calculates the channel gain of the access channel m according to equation (6)
Substituting the calculated channel gain value into the formulas (1) - (5) to obtain the maximum value T (m) of the network throughput of the access channel m of the mobile communication equipment nmaxAnd minimum value T (m)minTo calculate T (m)maxSubtracting the network throughput of the access channel m without considering the influence of delta d and the right deviation value of the network throughput
Subtracting the calculated T (m) from the network throughput of access channel m without considering the effect of Δ dmaxObtaining a left deviation value of the network throughput
Step 302: and aiming at each channel, determining the fuzzy number corresponding to the channel according to the network throughput of the mobile communication equipment accessing the channel, the left deviation value of the network throughput and the right deviation value of the network throughput.
In implementation, for each channel, the mobile communication device determines the ambiguity number corresponding to the channel according to the network throughput of accessing the channel, the left deviation value of the network throughput, and the right deviation value of the network throughput. E.g. channel m corresponds to an ambiguity number of
Wherein, Tn(m) network throughput for mobile communication device access channel m,
a left-hand deviation value for the network throughput,
is the right deviation value of the network throughput.
Step 203: and carrying out deblurring processing on the fuzzy number corresponding to each channel to obtain the priority value of each channel.
In implementation, the mobile communication device performs ambiguity resolution on the ambiguity number corresponding to each channel according to the prior art to obtain the priority value of each channel.
Optionally, referring to fig. 4, performing deblurring processing on the ambiguity number corresponding to each channel to obtain the priority value of each channel, where the processing steps are as follows:
step 401: and aiming at each channel, calculating the evaluation value of the channel according to the membership function of the fuzzy number corresponding to the channel, the membership function of a preset reference fuzzy number and the satisfaction function.
In practice, channel m corresponds to an ambiguity number of
The membership function corresponding to the fuzzy number is as follows:
the satisfaction function is shown in equations (7) to (8).
Wherein,
the number of the ambiguities is represented,
are respectively fuzzy numbers
The corresponding membership functions are set to the corresponding membership functions,
representing fuzzy numbers
Is less than
The degree of the number of ambiguities is,
representing fuzzy numbers
Greater than the fuzzy number
To the extent of (c).
For each channel, the mobile communication device calculates an evaluation value of the channel according to equation (9).
Wherein,
in order to preset the reference blur number,
is an evaluation value for the channel m and,
n represents the mobile communication device for the ambiguity number corresponding to the mobile channel m.
Step 402: for each channel, a relative value of the channel with respect to the other channels is determined based on the evaluation value of the channel and the largest evaluation value among the evaluation values of the channels.
In implementation, for each channel, the mobile communication device calculates the relative value of the channel with respect to the other channels according to equation (10).
Wherein,
is the relative value of channel m with respect to the other channels,
is an evaluation value for the channel m and,
is the maximum value among the evaluation values of the respective channels.
Step 403: and calculating a channel fuzzy preference relationship matrix according to the determined relative value of each channel relative to other channels and a preset fuzzy preference relationship matrix calculation formula.
In implementation, the mobile communication device calculates the channel ambiguity preference relationship matrix according to equation (11).
Wherein V ═ Vi,j]For the channel ambiguity preference relationship matrix, i, j denote the channel, η is a preset parameter.
Step 404: and calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset relevant parameters and the preset priority value calculation algorithm.
In implementation, the mobile communication device initializes a priority vector of a channel
Make it
Wherein
Representing a set of channels, M being the set of channels
The number of channels, m, indicates the channel.
For each channel, the calculation is according to equation (11)
Wherein,
m is a channel set
The number of channels, i, j, represents the channel,
which represents the priority value of the channel i,
representing the priority value of channel j.
If it is not
ξ is the preset relevant parameters, the mobile communication device keeps the priority value of channel i as the current initialized channel priority value 1/M.
If it is not
Mobile communication device determination
And obtaining the value of lambda, and determining the priority value of each channel according to the formulas (12) to (14).
Wherein,
is the determined channel priority value.
Wherein,
is the initialized channel priority value.
Wherein,
to initialize the resulting priority value for channel j,
the obtained priority value of the channel lambda is initialized.
Step 204: and accessing the channel with the highest priority value in each channel.
Optionally, referring to fig. 5, after accessing the channel with the largest priority value in each channel, the method further includes:
step 501: the current data transmission rate of the mobile communication device is calculated.
In implementation, the mobile communication device calculates the data transmission rate of the current mobile communication device according to equation (15).
Wherein, B is the channel bandwidth,
for a channel
The data rate to be provided is,
set of channels for access by a mobile communication device n, AnIndicating the transmission state of the mobile communication device, An1 represents aliveJump state, An0 denotes a silence state.
Step 502: if the data transmission rate is greater than the preset rate threshold, keeping the current access channel unchanged; if the data transmission rate is less than the preset rate threshold, the target channel is accessed, and the target channel is a channel orthogonal to other channels accessed by the mobile communication device, and the process returns to step 205.
Step 503: the data transmission rate difference of adjacent time slots of the mobile communication device is calculated.
In implementation, the mobile communication device calculates the data transmission rates of the adjacent time slots according to equation (15), and further calculates the data transmission rate difference of the adjacent time slots.
Step 504: if the data transmission rate difference is smaller than the preset data rate difference threshold, the channel is successfully accessed; if the data transmission rate difference is greater than the preset data rate difference threshold, the current access channel is closed, and the step 201 is returned.
Therefore, the fuzzy number is introduced to represent uncertain information in a network environment of the high-dynamic mobile communication equipment, the fuzzy number is subjected to de-fuzzy processing to obtain the priority value of each channel selected by the mobile communication equipment, and the channel with the largest priority value is selected for access. The fuzzy theory is introduced into the game theory, so that the limitation of uncertain information on an algorithm is overcome, and the frequency spectrum resource utilization rate and the network communication performance are improved on the premise of ensuring the data transmission rate requirement of the mobile communication equipment.
Based on the same technical concept, as shown in fig. 6, an embodiment of the present invention further provides an apparatus for robust shared access of partially overlapping channels of a mobile communication device, where the apparatus is applied to the mobile communication device, and the apparatus includes:
a first calculating module 601, configured to calculate, for each channel, a network throughput of a current mobile communication device accessing the channel;
a second calculating module 602, configured to use the ambiguity number to characterize the calculated network throughput of the current mobile communications device accessing the channel, and obtain the ambiguity number corresponding to each channel;
a deblurring module 603, configured to perform deblurring processing on the ambiguity number corresponding to each channel to obtain a priority value of each channel;
an accessing module 604, configured to access a channel with the largest priority value among the channels.
Optionally, the first calculating module 601 is specifically configured to: and determining the network throughput of the current mobile communication equipment accessing the channel according to the data transmission rate of the current mobile communication equipment accessing the channel, interference factors between the channel and channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
Optionally, referring to fig. 7, the apparatus further includes:
a third calculating module 701, configured to calculate a current data transmission rate of the mobile communication device;
a first comparing module 702, configured to keep a current access channel unchanged if a data transmission rate is greater than a preset rate threshold; if the data rate is less than the preset rate threshold value, accessing a target channel, wherein the target channel is a channel orthogonal to other channels accessed by the mobile communication equipment, and returning to the step of calculating the current data transmission rate;
a fourth calculating module 703, for calculating the data transmission rate difference between adjacent time slots of the mobile communication device;
a second comparing module 704, configured to access the channel successfully if the data transmission rate difference is smaller than the preset data rate difference threshold; if the data transmission rate difference is larger than the preset data rate difference threshold, closing the current access channel, and returning to the step of calculating the network throughput of the current mobile communication equipment accessing the channel aiming at each channel.
Optionally, the fuzzy number is a triangular fuzzy number, and the second calculating module 602 includes:
the first calculation unit is used for calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset mobile communication equipment position dynamic deviation value and a preset network throughput calculation formula aiming at each channel;
and the first determining unit is used for determining the fuzzy number corresponding to the channel according to the network throughput of the mobile communication equipment accessing the channel, the left deviation value of the network throughput and the right deviation value of the network throughput.
Optionally, the deblurring module 603 includes:
the second calculation unit is used for calculating the evaluation value of each channel according to the membership function of the fuzzy number corresponding to the channel, the membership function of a preset reference fuzzy number and the satisfaction function;
a third calculation unit configured to determine a relative value of the channel with respect to other channels based on a largest evaluation value of the evaluation values of the channel and the evaluation values of the channels;
the fourth calculation unit is used for calculating a channel fuzzy preference relationship matrix according to the determined relative value of each channel relative to other channels and a preset fuzzy preference relationship matrix calculation formula;
and the fifth calculation unit is used for calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset relevant parameters and the preset priority value calculation algorithm.
An embodiment of the present invention further provides a mobile communication device, as shown in fig. 8, which includes a processor 801, a communication interface 802, a memory 803, and a communication bus 804, where the processor 801, the communication interface 802, and the memory 803 complete mutual communication through the communication bus 804,
a memory 803 for storing a computer program;
a processor 801, configured to execute the program stored in the memory 803, so as to make the mobile communication device execute the following steps, including:
for each channel, calculating the network throughput of the mobile communication equipment accessing the channel;
using fuzzy numbers to represent the calculated network throughput of the mobile communication equipment accessing the channel at present, and obtaining fuzzy numbers corresponding to each channel;
performing deblurring processing on the fuzzy number corresponding to each channel to obtain the priority value of each channel;
and accessing the channel with the maximum priority value in each channel.
Optionally, the calculating the network throughput of the current mobile communication device accessing the channel includes:
and determining the network throughput of the mobile communication equipment accessing the channel at present according to the data transmission rate of the mobile communication equipment accessing the channel at present, interference factors between the channel and the channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
Optionally, after accessing the channel with the largest priority value in the channels, the method further includes:
calculating the current data transmission rate of the mobile communication equipment;
if the data transmission rate is greater than a preset rate threshold value, keeping the current access channel unchanged; if the data rate is less than the preset rate threshold value, accessing a target channel, wherein the target channel is a channel orthogonal to other channels accessed by the mobile communication equipment, and returning to the step of calculating the current data transmission rate;
calculating the data transmission rate difference of the adjacent time slots of the mobile communication equipment;
if the data transmission rate difference is smaller than a preset data rate difference threshold value, the channel is successfully accessed; if the data transmission rate difference is larger than the preset data rate difference threshold, closing the current access channel, and returning to the step of calculating the network throughput of the mobile communication equipment accessing the channel aiming at each channel.
Optionally, the step of characterizing the calculated network throughput of the mobile communication device accessing the channel by using an ambiguity number to obtain an ambiguity number corresponding to each channel includes:
aiming at each channel, calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset mobile communication equipment position dynamic deviation value and a preset network throughput calculation formula;
and determining the fuzzy number corresponding to the channel according to the network throughput of the mobile communication equipment accessing the channel, the left deviation value of the network throughput and the right deviation value of the network throughput.
Optionally, the performing a deblurring process on the ambiguity number corresponding to each channel to obtain the priority value of each channel includes:
aiming at each channel, calculating an evaluation value of the channel according to a membership function of a fuzzy number corresponding to the channel, a membership function of a preset reference fuzzy number and a satisfaction function;
determining a relative value of the channel relative to other channels according to the evaluation value of the channel and the maximum evaluation value of the evaluation values of the channels;
calculating a channel fuzzy preference relationship matrix according to the determined relative value of each channel relative to other channels and a preset fuzzy preference relationship matrix calculation formula;
and calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset relevant parameters and a preset priority value calculation algorithm.
The machine-readable storage medium may include a RAM (Random Access Memory) and may also include a NVM (Non-Volatile Memory), such as at least one disk Memory. Additionally, the machine-readable storage medium may be at least one memory device located remotely from the aforementioned processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
In the embodiment of the invention, the fuzzy number is introduced to represent uncertain information in a network environment of the high-dynamic mobile communication equipment, the fuzzy number is subjected to de-fuzzy processing to obtain the priority value of each channel selected by the mobile communication equipment, and the channel with the largest priority value is selected for access. The fuzzy theory is introduced into the game theory, so that the limitation of uncertain information on an algorithm is overcome, and the frequency spectrum resource utilization rate and the network communication performance are improved on the premise of ensuring the data transmission rate requirement of the mobile communication equipment.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. A method for robust shared access to partially overlapping channels by a mobile communication device, the method being applied to the mobile communication device and comprising:
for each channel, calculating the network throughput of the mobile communication equipment accessing the channel;
using fuzzy numbers to represent the calculated network throughput of the mobile communication equipment accessing the channel at present, and obtaining fuzzy numbers corresponding to each channel;
performing deblurring processing on the fuzzy number corresponding to each channel to obtain the priority value of each channel;
accessing the channel with the maximum priority value in each channel;
calculating the current data transmission rate of the mobile communication equipment;
if the data transmission rate is greater than a preset rate threshold value, keeping the current access channel unchanged; if the data rate is less than the preset rate threshold value, accessing a target channel, wherein the target channel is a channel orthogonal to other channels accessed by the mobile communication equipment, and returning to the step of calculating the current data transmission rate;
calculating the data transmission rate difference of the adjacent time slots of the mobile communication equipment;
if the data transmission rate difference is smaller than a preset data rate difference threshold value, the channel is successfully accessed; if the data transmission rate difference is larger than the preset data rate difference threshold, closing the current access channel, and returning to the step of calculating the network throughput of the mobile communication equipment accessing the channel aiming at each channel.
2. The method of claim 1, wherein calculating the network throughput of the current mobile communications device accessing the channel comprises:
and determining the network throughput of the mobile communication equipment accessing the channel at present according to the data transmission rate of the mobile communication equipment accessing the channel at present, interference factors between the channel and the channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
3. The method of claim 1, wherein the ambiguity number is a triangular ambiguity number, and wherein the characterizing the calculated network throughput of the mobile communication device accessing the channel with the ambiguity number to obtain the ambiguity number corresponding to each channel comprises:
aiming at each channel, calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset mobile communication equipment position dynamic deviation value and a preset network throughput calculation formula;
and determining the fuzzy number corresponding to the channel according to the network throughput of the mobile communication equipment accessing the channel, the left deviation value of the network throughput and the right deviation value of the network throughput.
4. The method according to claim 1, wherein the performing the deblurring process on the ambiguity number corresponding to each channel to obtain the priority value of each channel comprises:
aiming at each channel, calculating an evaluation value of the channel according to a membership function of a fuzzy number corresponding to the channel, a membership function of a preset reference fuzzy number and a satisfaction function;
determining a relative value of the channel relative to other channels according to the evaluation value of the channel and the maximum evaluation value of the evaluation values of the channels;
calculating a channel fuzzy preference relationship matrix according to the determined relative value of each channel relative to other channels and a preset fuzzy preference relationship matrix calculation formula;
and calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset relevant parameters and a preset priority value calculation algorithm.
5. An apparatus for robust shared access of partially overlapping channels for a mobile communication device, the apparatus being applied to the mobile communication device and comprising:
a first calculation module, configured to calculate, for each channel, a network throughput of the mobile communication device currently accessing the channel;
a second calculation module, configured to use a fuzzy number to represent the calculated network throughput of the current mobile communication device accessing the channel, so as to obtain a fuzzy number corresponding to each channel;
the ambiguity resolution module is used for performing ambiguity resolution on the ambiguity numbers corresponding to the channels to obtain the priority values of the channels;
the access module is used for accessing the channel with the maximum priority value in each channel;
a third calculating module, configured to calculate a current data transmission rate of the mobile communication device;
the first comparison module is used for keeping the current access channel unchanged if the data transmission rate is greater than a preset rate threshold; if the data rate is less than the preset rate threshold value, accessing a target channel, wherein the target channel is a channel orthogonal to other channels accessed by the mobile communication equipment, and returning to the step of calculating the current data transmission rate;
the fourth calculation module is used for calculating the data transmission rate difference value of the adjacent time slots of the mobile communication equipment;
the second comparison module is used for successfully accessing the channel if the data transmission rate difference value is smaller than a preset data rate difference value threshold value; if the data transmission rate difference is larger than the preset data rate difference threshold, closing the current access channel, and returning to the step of calculating the network throughput of the mobile communication equipment accessing the channel aiming at each channel.
6. The apparatus of claim 5, wherein the first computing module is specifically configured to: and determining the network throughput of the mobile communication equipment accessing the channel at present according to the data transmission rate of the mobile communication equipment accessing the channel at present, interference factors between the channel and the channels accessed by other mobile communication equipment and a preset network throughput calculation formula.
7. The apparatus of claim 5, wherein the fuzzy number is a triangular fuzzy number, and the second calculating module comprises:
the first calculation unit is used for calculating a left deviation value and a right deviation value of the network throughput of the mobile communication equipment accessing the channel according to a preset mobile communication equipment position dynamic deviation value and a preset network throughput calculation formula aiming at each channel;
a first determining unit, configured to determine, according to the network throughput of the mobile communication device accessing the channel, the left deviation value of the network throughput, and the right deviation value of the network throughput, an ambiguity number corresponding to the channel.
8. The apparatus of claim 5, wherein the deblurring module comprises:
the second calculation unit is used for calculating the evaluation value of each channel according to the membership function of the fuzzy number corresponding to the channel, the membership function of a preset reference fuzzy number and the satisfaction function;
a third calculation unit configured to determine a relative value of the channel with respect to other channels based on a largest evaluation value of the evaluation values of the channel and the evaluation values of the channels;
a fourth calculating unit, configured to calculate a channel fuzzy preference relationship matrix according to the determined relative value of each channel with respect to other channels and a preset fuzzy preference relationship matrix calculation formula;
and the fifth calculating unit is used for calculating the priority value of each channel according to the channel fuzzy preference relation matrix, the preset priority vector, the preset related parameters and the preset priority value calculating algorithm.
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