CN111092674A - Resource allocation method and device of power cognitive wireless network - Google Patents
Resource allocation method and device of power cognitive wireless network Download PDFInfo
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- CN111092674A CN111092674A CN201911204251.0A CN201911204251A CN111092674A CN 111092674 A CN111092674 A CN 111092674A CN 201911204251 A CN201911204251 A CN 201911204251A CN 111092674 A CN111092674 A CN 111092674A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
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- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
Abstract
The invention discloses a resource allocation method and a resource allocation device for a power cognitive wireless network, wherein the method comprises the following steps: acquiring an error rate; calculating the power of the first-time user equipment according to the initial cost preset by the second-time user equipment, the initial power of the second-time user equipment, the penalty cost factor of the second-time user equipment and the error rate; calculating the power of the secondary user equipment according to the preset initial cost, the penalty cost factor, the power of the primary user equipment and the error rate; when the power of the first-time user equipment is equal to that of the second-time user equipment, determining the power of the second-time user equipment as the optimal power of the second-time user equipment; calculating a first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first cost as the optimal cost. According to the method and the device, the cost and the interference influence of the power distribution of the secondary user equipment on the cognitive wireless network are considered, and the resource distribution for ensuring the benefit maximization of the user equipment is realized.
Description
Technical Field
The invention relates to the technical field of electronic system communication, in particular to a resource allocation method and device of a power cognitive wireless network.
Background
The power communication network is an important component of a power grid, is a foundation for realizing power grid dispatching automation, network operation marketization and management modernization, and is an important guarantee for promoting the intelligent development of the power grid and ensuring the reliable and effective realization of power services. The requirements of power business on reliability, safety and full coverage can be met by applying the wireless communication technology in a Neighbor Area Network (NAN) of a smart grid. However, as devices are continuously accessed, the amount of communication data increases exponentially, and the existing wireless spectrum resources are increasingly strained. The additional idle spectrum, such as white spectrum and unlicensed spectrum of cable television, can be conditionally utilized by way of spectrum sensing. Therefore, Cognitive Radio (CR) technology is proposed to be applied to smart grids to improve the spectrum utilization rate of smart grid services through various spectrum multiplexing modes.
In the existing commonly used cognitive radio neighborhood network technology, interference control research on the cognitive radio neighborhood network mainly considers the allocation of frequency spectrum resources, but does not fully consider the interference influence of access cost and user power allocation on the cognitive radio neighborhood network.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the defect that the access cost and the interference influence of user power allocation on the cognitive radio neighborhood network are not fully considered in the prior art, so as to provide a resource allocation method and device for an electric power cognitive wireless network.
According to a first aspect, the embodiment of the invention discloses a resource allocation method of a power cognitive wireless network, which comprises the following specific steps: step a: acquiring the error rate of the secondary user equipment and the primary user equipment in the information interaction process; the secondary user equipment is equipment for multiplexing the frequency spectrum of the primary user equipment; step b: calculating the power of the primary user equipment according to the initial cost preset by the secondary user equipment, the initial power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; step c: calculating the power of the secondary user equipment according to the initial cost preset by the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate; d, when the power of the first time user equipment is equal to that of the second time user equipment, determining the power of the second time user equipment as the optimal power of the second time user equipment; step e: calculating a first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; step f: and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first cost as the optimal cost.
With reference to the first aspect, in a first implementation manner of the first aspect, the method further includes: and when the power of the first-time user equipment is not equal to that of the second-time user equipment, updating the initial power of the second-time user equipment to the power of the second-time user equipment, returning to execute the step b to calculate the power of the first-time user equipment, executing the step c until the power of the first-time user equipment is equal to that of the second-time user equipment, and executing the step e.
With reference to the first aspect, in a second embodiment of the first aspect, the method further includes: and when the difference value between the first cost and the initial cost of the secondary user equipment is larger than the preset value, updating the initial cost of the secondary user equipment to the first cost, updating the initial power of the secondary user equipment to the power of the secondary user equipment, returning to execute the step b to calculate the power of the first user equipment, executing the step c until the power of the first user equipment is equal to the power of the second user equipment, and executing the step e.
With reference to the first embodiment of the first aspect, in a third embodiment of the first aspect, the method further includes: and when the difference value between the first cost and the initial cost of the secondary user equipment is larger than the preset value, updating the initial cost of the secondary user equipment to the first cost, updating the initial power of the secondary user equipment to the power of the secondary user equipment, returning to execute the step b to calculate the power of the primary user equipment, executing the step c until the power of the primary user equipment is equal to the power of the secondary user equipment, and executing the step e.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the first secondary user equipment power and the second secondary user equipment power are calculated according to the following formulas:
where k represents the number of the secondary user base station, c represents the unit cost that the secondary user equipment needs to pay for interference, and piRepresenting the transmit power of the secondary user equipment i,
represents the link gain of the secondary user equipment i to the primary user base station,
the product of (a) represents the interference of the secondary user equipment i to the primary user base stationThe amount of interference, N representing the number of secondary user equipments,
indicating the link gain of the secondary user equipment i to the k' base station and the link gain to the k base station, N, respectively0Representing the noise power, Γ ═ ln (5R)BE) 1.5, gamma is Bit Error Rate (R, R)BE) A constant under requirement, λ represents a secondary user equipment penalty cost factor,
respectively representing the power of the main user equipment m and the link gain of the main user equipment m to k base stations,
respectively representing the power of other secondary user equipments i ' and the link gain of the other secondary user equipments i ' to the k base station, i ' is equal to N \ i } refers to other secondary user equipments except the current secondary user equipment, (A)+Represents taking the positive number of A.
With reference to the first aspect, in a fifth embodiment of the first aspect, the first price is calculated according to the following formula:
where N represents the number of secondary user equipments, and Γ ═ ln (5R)BE) 1.5, gamma is the bit error rate (BitErrorRate, R)BE) Constant under requirement, N0Which is indicative of the power of the noise,
representing the link gain of the secondary user equipment i to the primary user base station,
indicating the link gain of the secondary user equipment I to the k' base station and the link gain to the k base station, I, respectivelythIndicating that the primary user device is interfering with the temperature limit,
indicating the interference generated by other secondary user equipments and the primary user base station to the secondary user base station.
According to a second aspect, an embodiment of the present invention discloses a resource allocation apparatus for a power cognitive wireless network, including: the acquisition module is used for acquiring the error rate of the secondary user equipment and the primary user equipment in the information interaction process; the secondary user equipment is equipment for multiplexing the frequency spectrum of the primary user equipment; the first calculation module is used for calculating the power of the first-time user equipment according to the initial cost preset by the second-time user equipment, the initial power of the second-time user equipment, the penalty cost factor of the second-time user equipment and the error rate; the second calculation module is used for calculating the power of the secondary user equipment according to the initial cost preset by the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate; a first determining module, configured to determine the second-time ue power as an optimal-time ue power when the first-time ue power and the second-time ue power are equal to each other; the third calculation module is used for calculating the first cost according to the second-time user equipment power, the second-time user equipment penalty cost factor and the error rate; and the second determining module is used for determining the first price as the optimal price when the difference value of the first price and the initial price is less than or equal to a preset value.
According to a third aspect, an embodiment of the present invention discloses a terminal, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the processor to cause the processor to perform the method for allocating resources of a power-aware wireless network according to the first aspect or any embodiment of the first aspect.
According to a fourth aspect, an embodiment of the present invention discloses a computer-readable storage medium, on which computer instructions are stored, and the instructions, when executed by a processor, implement the resource allocation method of the power-aware wireless network according to the first aspect or any one of the embodiments of the first aspect.
The technical scheme of the invention has the following advantages:
according to the resource allocation method of the power cognitive wireless network, the error rate of the secondary user equipment and the primary user equipment in the information interaction process is obtained; calculating the power of the first secondary user equipment according to the initial cost preset by the secondary user equipment, the initial power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; calculating the power of the secondary user equipment according to the initial cost of the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate; when the power of the first-time user equipment is equal to that of the second-time user equipment, determining the power of the second-time user equipment as the optimal power of the second-time user equipment; calculating a first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first price as the optimal cost. According to the method and the device, the resource allocation for ensuring the benefit maximization of the user equipment is realized by considering the cost of the secondary user equipment and the interference influence of power allocation on the cognitive radio network.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a diagram illustrating an exemplary embodiment of a power cognitive network according to the present invention;
fig. 2 is a flowchart of a specific example of a resource allocation method of a power cognitive wireless network according to embodiment 1 of the present invention;
fig. 3 is a schematic block diagram of a specific example of a resource allocation apparatus of a power cognitive wireless network according to embodiment 2 of the present invention;
fig. 4 is a schematic block diagram of a specific example of a resource allocation apparatus of a power cognitive wireless network according to embodiment 2 of the present invention;
fig. 5 is a schematic block diagram of a specific example of a resource allocation apparatus of a power cognitive wireless network according to embodiment 2 of the present invention;
fig. 6 is a schematic block diagram of a specific example of a resource allocation apparatus of a power cognitive wireless network according to embodiment 2 of the present invention;
fig. 7 is a schematic block diagram of a specific example of a terminal in the embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as there is no conflict between them.
Example 1
The embodiment of the invention provides a resource allocation method of an electric power Cognitive wireless network, which is applied to an intelligent electric power communication field network based on cognition, as shown in fig. 1, in the scene, base stations (Cognitive nan Gateway, NGW) with Cognitive functions of the field network are in centralized charge of controlling spectrum sensing and spectrum access, in each Home Cognitive base station (Cognitive Home Area Networks Gateways, HGW) network, user equipment with different numbers are arranged, in the scene, the user equipment in the HGW reuses spectrum resources of user equipment in the NGW, the spectrum resource allocation problem of the HGW user equipment and the NGW user equipment is modeled into a starkeberg game, and in the game process, the user equipment of the NGW is used as main user equipment in a Cognitive network structure and enjoys a dedicated authorized spectrum; service terminals in the HGW, such as an intelligent electric meter and the like, are used as secondary user equipment to access a network and share frequency spectrum with main user equipment in a underlying mode.
In this environment, adjacent master user equipment communicates in a frequency division resource allocation manner, and master user equipment allocated to the same frequency band may have the same frequency interference phenomenon. And the secondary user equipment multiplexes the frequency band by adopting a full-frequency-band access mode. Meanwhile, in order to ensure the Quality of communication (QoS) of the primary user equipment, the interference temperature limit is set to all secondary user equipment of the full frequency band, including each secondary user base station, and the sum of the added interference does not exceed the minimum requirement of the Service of the primary user equipment.
In the embodiment of the invention, a master user base station NGW is considered to be associated with M master user devices; the two secondary user base stations HGW are associated with the scenes of N secondary user devices in total; under a underlying multiplexing spectrum mode, the full-band frequency band of secondary user equipment multiplexes the frequency band of primary user equipment, NGW firstly carries out channel state monitoring and sensing to obtain the wireless parameter characteristic of a channel, then determines the interference temperature limit of the primary user, then calculates the optimal power and cost of the secondary user equipment according to the following method, and distributes the power with the optimal benefit of the secondary user equipment to the secondary user equipment meeting the service condition.
1. Considering the benefit function of the primary user equipment:
and c, setting the cost paid by the secondary user equipment for the interference caused by the frequency spectrum of the multiplexed primary user equipment as c, and setting the benefit function of the primary user equipment as the sum of the cost paid by the secondary user equipment for the total interference of the secondary user equipment to the primary user equipment in order to meet the communication quality of the primary user equipment to the maximum extent.
Wherein c represents that the secondary user equipment needs to pay unit cost for interference, p represents the set of power of each secondary user equipment, and piRepresents the transmit power of each secondary user equipment,
representing the link gain of the secondary user equipments i to the primary user base station and N representing the number of secondary user equipments. The constraint means that the sum of total interference of all secondary user equipment to the primary user equipment does not exceed an interference temperature threshold tolerable by the primary user equipment.
2. Consider the benefit function of the secondary user equipment:
each secondary user equipment will generate interference to the primary user equipment and other secondary user equipments multiplexing the same sub-channel, respectively. Considering fairness, a certain penalty cost factor lambda is set for the interference generated by the secondary user equipment to other secondary user equipment. Meanwhile, a cost is set for the interference of the secondary user equipment to the primary user equipment, and a benefit function of the secondary user equipment can be expressed as follows:
wherein the content of the first and second substances,
is the rate of the secondary user equipment, i, which is a function of the signal-to-interference ratio,
is the signal-to-interference ratio of a secondary user equipment i in a base station k, the signal-to-interference ratio being a function of the user power, pi,p-iRespectively, the power of the secondary user equipment i, and the power of other secondary user equipments except the secondary user equipment i,
is the interference that the secondary user equipment i generates to other secondary user equipments (including own cell and other cell base stations) K' ∈ K/{0, K },
respectively representing the link gain of the secondary user equipment i to the k' base station and the link gain to the k base station
Is the interference that this secondary user i generates to the primary user base station,
indicating the link gain of the secondary user equipment i to the primary user base station,
respectively representing the power of the primary user equipment m and the link gain to the k base stations,
respectively representing the power of other secondary user equipments i 'and the link gain to the base station of cell k, i' e.nN \ i } referring to other secondary user equipments except the current user.
Rate calculation of secondary user equipment:
wherein, gamma is a certain Bit Error Rate (R, R)BE) The required constant, representing the difference in signal-to-noise ratio between the modulated signal and the shannon capacity of the channel, is Γ ═ ln (5R) in gaussian additive white noise channelBE) 1.5 assume here that the unit bandwidth is 1.
The benefit of the secondary user equipment is maximized:
max Ui(pi,p-i,c)
s.t.0≤pi≤pmax
Ri≥Rreq
wherein p isi,p-iRespectively representing the power of the secondary user equipment i and the power of other user equipments than the secondary user equipment i, pmaxRepresents the maximum transmission power R of the current user equipmentreqIndicating the minimum rate requirement of the current user equipment.
As shown in fig. 2, the resource allocation method of the power cognitive wireless network in this embodiment includes:
step S10: acquiring the error rate of the secondary user equipment and the primary user equipment in the information interaction process; the secondary user equipment is a device multiplexing the spectrum of the primary user equipment.
Illustratively, the bit error rate refers to a ratio of the number of erroneous code elements to the total number of transmitted code elements in the information interaction process, when the secondary user equipment transmits information to the primary user equipment, a receiver test port is set to a receiving port of the primary user equipment, a standard signal source is adopted to generate a radio frequency test signal which is fed into the receiver, and then the output code stream of the receiver is fed back to the secondary user equipment to complete the test of the bit error rate.
Step S11: and calculating the power of the primary user equipment according to the initial cost preset by the secondary user equipment, the initial power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate.
Illustratively, the cost of the secondary user equipment is the cost paid by the secondary user equipment for the interference caused by the spectrum of the multiplexed primary user equipment, and the preset initial cost and the initial power of the secondary user equipment can be reasonably set by those skilled in the art according to needs, for example, the preset initial cost can be set to 0, and the value of the initial power of the secondary user equipment is greater than or equal to 0 and less than or equal to the maximum power. The secondary user equipment punishment cost factor is set for the interference of the secondary user equipment to other secondary user equipment, and the secondary user punishment cost factor is proportional to the initial cost of the secondary user.
Step S12: and calculating the power of the secondary user equipment according to the initial cost preset by the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate.
And step S13, when the first time user equipment power and the second time user equipment power are equal, determining the second time user equipment power as the optimal time user equipment power.
Illustratively, when the first secondary user equipment power and the second secondary user equipment power are equal, the secondary user equipment power is regarded as convergence, and the second secondary user equipment power is regarded as the optimal secondary user equipment power.
Step S14: and calculating the first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate.
Step S15: and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first cost as the optimal cost.
Illustratively, the size of the preset value may affect the convergence of the secondary user cost, and may be reasonably set by a skilled person according to practical situations, for example, the preset value may be 0.001, when the difference between the first cost and the initial cost is less than or equal to the preset value, the secondary user cost is considered to be converged, and the current result is the optimal cost of the secondary user.
According to the resource allocation method of the power cognitive wireless network, the error rate of the secondary user equipment and the primary user equipment in the information interaction process is obtained; calculating the power of the first-time user equipment according to the initial cost preset by the second-time user equipment, the initial power of the second-time user equipment, the penalty cost factor of the second-time user equipment and the error rate; calculating the power of the secondary user equipment according to the initial cost of the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the first secondary user equipment and the error rate; when the power of the first-time user equipment is equal to that of the second-time user equipment, determining the power of the second-time user equipment as the optimal power of the second-time user equipment; calculating a first cost according to the power of the secondary user equipment, the punishment cost factor of the secondary user equipment and the error rate; and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first price as the optimal cost. According to the method and the device, the interference influence of the cost and the power distribution of the secondary user equipment on the cognitive radio neighborhood network is considered, and the resource distribution for ensuring the benefit maximization of the user equipment is realized.
As an optional embodiment of the present application, the method further comprises:
and when the power of the first-time user equipment is not equal to that of the second-time user equipment, updating the initial power of the second-time user equipment to be the power of the second-time user equipment, returning to execute the step S11 to calculate the power of the first-time user equipment, executing the step S12 until the power of the first-time user equipment is equal to that of the second-time user equipment, and executing the step S14.
Illustratively, when the first secondary user equipment power is not equal to the second secondary user equipment power, the secondary user equipment power is updated to the calculated second secondary user equipment power, the step S11 is returned to recalculate the first secondary user equipment power until the secondary user equipment power converges, and then the following steps are performed.
As an optional embodiment of the present application, the method further comprises:
and when the difference value between the first cost and the initial cost of the secondary user equipment is greater than the preset value, updating the initial cost of the secondary user equipment to be the first cost, updating the initial power of the secondary user equipment to be the power of the secondary user equipment calculated in the step S12, returning to execute the step S11 to calculate the power of the first user equipment, executing the step S12 until the power of the first user equipment is equal to the power of the secondary user equipment, and executing the step S14.
Illustratively, when the difference between the first cost and the secondary user equipment initial cost is greater than the preset value, the secondary user equipment initial power is updated to the second user equipment power calculated in step S12, the secondary user equipment initial cost is updated to the first cost calculated in step S14, the process returns to step S11 to recalculate the first user equipment power, and then the following steps are performed.
Illustratively, when the first user equipment power and the second user equipment power are not equal and the step S11 is returned to recalculate the first user equipment power, when the difference between the first cost and the secondary user equipment initial cost is greater than the preset value, the secondary user equipment initial power is updated to the second user equipment power calculated in the step S12, the secondary user equipment initial cost is updated to the first cost calculated in the step S14, the step S11 is returned to recalculate the first user equipment power, and then the following steps are performed until the secondary user equipment power and the secondary user equipment cost converge.
As an optional embodiment of the present application, the method further comprises: calculating the power of the first-time user equipment and the power of the second-time user equipment according to the following formula:
where k represents the number of the secondary user base station, c represents the unit cost that the secondary user equipment needs to pay for interference, and piRepresenting the transmit power of the secondary user equipment i,
represents the link gain of the secondary user equipment i to the primary user base station,
the product of (a) represents the amount of interference of the secondary user equipment i to the primary user base station, N represents the number of secondary user equipments,
indicating the link gain of the secondary user equipment i to the k' base station and the link gain to the k base station, N, respectively0Representing the noise power, Γ ═ ln (5R)BE) 1.5, gamma is Bit Error Rate (R, R)BE) A constant under requirement, λ represents a secondary user equipment penalty cost factor,
respectively representing the power of the main user equipment m and the link gain of the main user equipment m to k base stations,
respectively representing the power of other secondary user equipments i ' and the link gain of the other secondary user equipments i ' to the k base station, i ' is equal to N \ i } refers to other secondary user equipments except the current secondary user equipment, (A)+Represents taking the positive number of A.
As an optional embodiment of the present application, the method further comprises:
the first cost is calculated according to the following formula:
where N represents the number of secondary user equipments, and Γ ═ ln (5R)BE) 1.5, gamma is the bit error rate (BitErrorRate, R)BE) Constant under requirement, N0Which is indicative of the power of the noise,
representing the link gain of the secondary user equipment i to the primary user base station,
indicating the link gain of the secondary user equipment I to the k' base station and the link gain to the k base station, I, respectivelythIndicating that the primary user device is interfering with the temperature limit,
indicating the interference generated by other secondary user equipments and the primary user base station to the secondary user base station.
Example 2
An embodiment of the present invention provides a resource allocation apparatus for a power cognitive radio network, as shown in fig. 3, including:
the obtaining module 20 is configured to obtain an error rate of the secondary user equipment and the primary user equipment in an information interaction process; the secondary user equipment is equipment for multiplexing the frequency spectrum of the primary user equipment; the specific implementation manner is shown in step S10 in embodiment 1, and is not described herein again.
The first calculating module 21 is configured to calculate a first-time user equipment power according to an initial cost preset by a second user equipment, a second-time user equipment initial power, a second-time user equipment penalty cost factor, and an error rate; the specific implementation manner is shown in step S11 in embodiment 1, and details are not described here.
The second calculating module 22 is configured to calculate a second secondary user equipment power according to an initial cost preset by the secondary user equipment, a secondary user equipment penalty cost factor, the first secondary user equipment power, and the bit error rate; the specific implementation manner is shown in step S12 in embodiment 1, and details are not described here.
A first determining module 23, configured to determine the second-time ue power as the optimal second-time ue power when the first-time ue power and the second-time ue power are equal to each other; the specific implementation manner is shown in step S13 in embodiment 1, and is not described herein again.
A third calculating module 24, configured to calculate the first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment, and the bit error rate; the specific implementation manner is shown in step S14 in embodiment 1, and details are not described here.
The second determining module 25 is configured to determine the first cost as the optimal cost when a difference between the first cost and the initial cost is less than or equal to a preset value, where a specific implementation manner is shown in step S15 in embodiment 1, and details are not described here again.
The resource allocation device of the power cognitive wireless network provided by the invention acquires the error rate of the secondary user equipment and the primary user equipment in the information interaction process; calculating the power of the first secondary user equipment according to the initial cost preset by the secondary user equipment, the initial power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; calculating the power of the secondary user equipment according to the initial cost of the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate; when the power of the first-time user equipment is equal to that of the second-time user equipment, determining the power of the second-time user equipment as the optimal power of the second-time user equipment; calculating a first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate; and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first price as the optimal cost. According to the method and the device, the influence of the cost and the power distribution of the secondary user equipment on the interference of the cognitive radio neighborhood network is considered, and the resource distribution for ensuring the benefit maximization of the user equipment is realized.
As an alternative embodiment of the present application, as shown in fig. 4, the apparatus further includes:
the first updating calculation module 26 is configured to update the initial power of the secondary user equipment to the power of the secondary user equipment when the power of the primary user equipment is not equal to the power of the secondary user equipment, return to execute step S11 to calculate the power of the primary user equipment, execute step S12 until the power of the primary user equipment is equal to the power of the secondary user equipment, and execute step S14. The specific implementation manner is shown in the corresponding steps in embodiment 1, and is not described herein again.
As an alternative embodiment of the present application, as shown in fig. 5, the apparatus further includes:
a second updating calculation module 27, configured to update the secondary ue initial power to the second secondary ue power calculated in step S12, update the secondary ue initial cost to the first cost calculated in step S14, return to step S11 to recalculate the first secondary ue power, and then execute the following steps when the difference between the first cost and the secondary ue initial cost is greater than the preset value. The specific implementation manner is shown in the corresponding steps in embodiment 1, and is not described herein again.
As an alternative embodiment of the present application, as shown in fig. 6, the apparatus further includes:
a second updating calculation module 27, configured to, when the first ue power is not equal to the second ue power and the first ue power is calculated again in step S11, update the second ue power calculated in step S12 to the second ue power calculated in step S12 when the difference between the first cost and the second ue initial cost is greater than the preset value, update the second ue initial cost to the first cost calculated in step S14, return to step S11 to calculate the first ue power again, and then perform the following steps. The specific implementation manner is shown in the corresponding steps in embodiment 1, and is not described herein again.
The first calculating module 21 and the second calculating module 22 calculate the first-time ue power and the second-time ue power according to the following formulas:
where k represents the number of the secondary user base station, c represents the unit cost that the secondary user equipment needs to pay for interference, and piRepresenting the transmit power of the secondary user equipment i,
represents the link gain of the secondary user equipment i to the primary user base station,
the product of (a) represents the amount of interference of the secondary user equipment i to the primary user base station, N represents the number of secondary user equipments,
indicating the link gain of the secondary user equipment i to the k' base station and the link gain to the k base station, N, respectively0Representing the noise power, Γ ═ ln (5R)BE) 1.5, gamma is Bit Error Rate (R, R)BE) A constant under requirement, λ represents a secondary user equipment penalty cost factor,
respectively representing the power of the main user equipment m and the link gain of the main user equipment m to k base stations,
respectively representing the power of other secondary user equipments i ' and the link gain of the other secondary user equipments i ' to the k base station, i ' is equal to N \ i } refers to other secondary user equipments except the current secondary user equipment, (A)+Represents taking the positive number of A.
The third calculation module 24 calculates the first cost according to the following formula:
where N represents the number of secondary user equipments, and Γ ═ ln (5R)BE) 1.5, gamma is bit error rate (BitEr)rorRate，RBE) Constant under requirement, N0Which is indicative of the power of the noise,
representing the link gain of the secondary user equipment i to the primary user base station,
indicating the link gain of the secondary user equipment I to the k' base station and the link gain to the k base station, I, respectivelythIndicating that the primary user device is interfering with the temperature limit,
and (4) showing.
Example 3
An embodiment of the present invention further provides a resource allocation terminal of a power cognitive wireless network, as shown in fig. 7, the signal pattern recognition terminal may include a processor 31 and a memory 32, where the processor 31 and the memory 32 may be connected by a bus or in another manner, and fig. 3 takes the connection by the bus as an example.
The processor 31 may be a Central Processing Unit (CPU). The Processor 31 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 32, which is a non-transitory computer-readable storage medium, may be used for storing non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the signal pattern recognition method in the embodiment of the present invention (for example, the acquisition module 20, the first calculation module 21, the second calculation module 22, the first determination module 23, the third calculation module 24, and the second determination module 25 shown in fig. 2). The processor 31 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 32, namely, implements the signal pattern recognition method in the above method embodiment.
The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 31, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 32 may optionally include memory located remotely from the processor 31, and these remote memories may be connected to the processor 31 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 32, and when executed by the processor 31, perform a resource allocation method of the power-aware wireless network as in the embodiment shown in fig. 2.
The details of the signal pattern recognition terminal may be understood by referring to the corresponding description and effect in the embodiment shown in fig. 2, and are not described herein again.
Example 4
The embodiment of the invention also provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the signal pattern recognition method in any method embodiment. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard disk (Hard disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above-described embodiments are merely examples for clarity of description and are not intended to limit the scope of the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. This list is neither intended to be exhaustive nor exhaustive. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (9)
1. A resource allocation method of a power cognitive wireless network is characterized by comprising the following steps:
step a: acquiring the error rate of the secondary user equipment and the primary user equipment in the information interaction process; the secondary user equipment is equipment for multiplexing the frequency spectrum of the primary user equipment;
step b: calculating the power of the first-time user equipment according to the initial cost preset by the second-time user equipment, the initial power of the second-time user equipment, the penalty cost factor of the second-time user equipment and the error rate;
step c: calculating the power of the secondary user equipment according to the initial cost preset by the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate;
d, when the power of the first time user equipment is equal to that of the second time user equipment, determining the power of the second time user equipment as the optimal power of the second time user equipment;
step e: calculating a first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate;
step f: and when the difference value of the first cost and the initial cost is less than or equal to a preset value, determining the first cost as an optimal cost.
2. The method of claim 1, further comprising:
and when the power of the first-time user equipment is not equal to that of the second-time user equipment, updating the initial power of the second-time user equipment to the power of the second-time user equipment, returning to execute the step b to calculate the power of the first-time user equipment, executing the step c until the power of the first-time user equipment is equal to that of the second-time user equipment, and executing the step e.
3. The method of claim 1, further comprising:
and when the difference value between the first cost and the initial cost of the secondary user equipment is larger than the preset value, updating the initial cost of the secondary user equipment to the first cost, updating the initial power of the secondary user equipment to the power of the secondary user equipment, returning to execute the step b to calculate the power of the first user equipment, executing the step c until the power of the first user equipment is equal to the power of the secondary user equipment, and executing the step e.
4. The method of claim 2, further comprising:
and when the difference value between the first cost and the initial cost of the secondary user equipment is larger than the preset value, updating the initial cost of the secondary user equipment to the first cost, updating the initial power of the secondary user equipment to the power of the secondary user equipment, returning to execute the step b to calculate the power of the first user equipment, executing the step c until the power of the first user equipment is equal to the power of the secondary user equipment, and executing the step e.
5. The method of claim 1, wherein the first secondary UE power and the second secondary UE power are calculated according to the following formulas:
where k represents the number of the secondary user base station, c represents the unit cost that the secondary user equipment needs to pay for interference, and piRepresenting the transmit power of the secondary user equipment i,
represents the link gain of the secondary user equipment i to the primary user base station,
the product of (a) represents the amount of interference of the secondary user equipment i to the primary user base station, N represents the number of secondary user equipments,
indicating the link gain of the secondary user equipment i to the k' base station and the link gain to the k base station, N, respectively0Representing the noise power, Γ ═ ln (5R)BE) 1.5, gamma is Bit Error Rate (R, R)BE) A required constant, λ represents a secondary user equipment penalty cost factor,
respectively representing the power of the primary user equipment m and the link gain of the primary user equipment m to the k base stations,
respectively representing the power of other secondary user equipments i ' and the link gain of the other secondary user equipments i ' to the k base station, i ' is equal to N \ i } refers to other secondary user equipments except the current secondary user equipment, (A)+Represents taking the positive number of A.
6. The method of claim 1, wherein the first price is calculated according to the formula:
where N represents the number of secondary user equipments, and Γ ═ ln (5R)BE) 1.5, gamma is the bit error rate (BitErrorRate, R)BE) Constant under requirement, N0Which is indicative of the power of the noise,
representing secondary usersThe link gain of device i to the primary user base station,
indicating the link gain of the secondary user equipment I to the k' base station and the link gain to the k base station, I, respectivelythIndicating that the primary user device is interfering with the temperature limit,
indicating the interference generated by other secondary user equipments and the primary user base station to the secondary user base station.
7. A resource allocation device of a power cognitive wireless network is characterized by comprising:
the acquisition module is used for acquiring the error rate of the secondary user equipment and the primary user equipment in the information interaction process; the secondary user equipment is equipment for multiplexing the frequency spectrum of the primary user equipment;
the first calculation module is used for calculating the power of the first-time user equipment according to the initial cost preset by the second-time user equipment, the initial power of the second-time user equipment, the penalty cost factor of the second-time user equipment and the error rate;
the second calculation module is used for calculating the power of the secondary user equipment according to the initial cost preset by the secondary user equipment, the penalty cost factor of the secondary user equipment, the power of the primary user equipment and the error rate;
a first determining module, configured to determine the second-time ue power as an optimal-time ue power when the first-time ue power and the second-time ue power are equal to each other;
the third calculation module is used for calculating the first cost according to the power of the secondary user equipment, the penalty cost factor of the secondary user equipment and the error rate;
and the second determining module is used for determining the first price as the optimal price when the difference value of the first price and the initial price is less than or equal to a preset value.
8. A terminal, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform a method of resource allocation for a power-aware wireless network as claimed in any one of claims 1 to 6.
9. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement a method for resource allocation for a power-aware wireless network as claimed in any one of claims 1 to 6.
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