CN110461040A - A kind of determination method and device of channel access strategy - Google Patents
A kind of determination method and device of channel access strategy Download PDFInfo
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- CN110461040A CN110461040A CN201910718568.XA CN201910718568A CN110461040A CN 110461040 A CN110461040 A CN 110461040A CN 201910718568 A CN201910718568 A CN 201910718568A CN 110461040 A CN110461040 A CN 110461040A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/0091—Signaling for the administration of the divided path
- H04L5/0092—Indication of how the channel is divided
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0446—Resources in time domain, e.g. slots or frames
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access, e.g. scheduled or random access
- H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
Abstract
The embodiment of the invention provides a kind of determination method and devices of channel access strategy, wherein, the determination method of channel access strategy includes: the weight according to coordinates user financial value and user's regret value, adjust separately user's financial value and user's regret value, determine the accumulative effect function value of base station, user's financial value and user's regret value are considered in this way, use balance of weights user financial value and user's regret value, completion optimizes channel access strategy, compared to the prior art, the available channel access strategy for more preferably servicing user and the Dispatching Form Headway for servicing user, improve the optimization performance of Internet resources.
Description
Technical field
The present invention relates to fields of communication technology, more particularly to a kind of determination method and device of channel access strategy.
Background technique
With flourishing for mobile communication, the following 5th third-generation mobile communication technology (5th-Generation, abbreviation 5G)
Under complex dense transmitting scene, the efficient of Internet resources is needed to distribute using with optimization.And it is needed to cope with wireless service access
Contradiction between active block resource of summing, there has been proposed the scheme of multiple resources Optimum utilization, the sides of optimizing network resource utilization
Case may include: to optimize to channel access strategy.
It can complete to optimize channel access strategy using intensified learning at present.And utilize nitrification enhancement pair
The scheme that channel access strategy optimizes is easy to fall by " the utilizing exploitation " in nitrification enhancement simply
Enter local suboptimal solution, and is unable to get globally optimal solution;Alternatively, excessive passes through " exploring in intensified learning
Exploration " reduces the performance of nitrification enhancement, to influence the effect optimized to channel access strategy.Therefore,
How balance is obtained in " utilization " and " exploration ", and completion optimizes channel access strategy, becomes urgent problem to be solved.
Summary of the invention
The determination method and device for being designed to provide a kind of channel access strategy of the embodiment of the present invention, to solve
Balance is obtained in " utilization " and " exploration ", completes the problem of optimizing to channel access strategy.Specific technical solution is as follows:
In a first aspect, it is applied to base station the embodiment of the invention provides a kind of determination method of channel access strategy, it is described
Method includes:
In the predetermined time slot of frame, the channel in isomery spectrum pool is selected, the isomery spectrum pool is institute in heterogeneous network
The isomery spectrum pool including authorization channel and unauthorized channel for having base station shared;
In the case where determining that the base station can be using downlink data transmission be carried out between the channel and service user,
The channel is divided into more than two subchannels, the user equipment that the service user is serviced by the base station;
Determine the user's financial value and user's regret value of every sub-channels of service user's contention access;
It is not less than the first thresholding and the user in the difference for determining user's financial value of every sub-channels consecutive frame time slot
In the case that regret value is not less than the second thresholding, according to the weight for coordinating user's financial value and user's regret value, divide
User's financial value and user's regret value are not adjusted, obtain the accumulative effect function value of the base station;
Based on the accumulative effect function value, the channel access of the base station in next time slot of the predetermined time slot of frame is determined
Probability, obtains next time slot, and the predetermined time slot of more new frame continues to return execution in the predetermined time slot of frame, selects isomery frequency spectrum
The step of channel in pond, until the difference of user's financial value of every sub-channels consecutive frame time slot is lower than described first
Limit and user's regret value are lower than second thresholding, it is determined that the Dispatching Form Headway of the service user and the service user
Channel access strategy.
Further, described according to the weight for coordinating user's financial value and user's regret value, adjust separately institute
User's financial value and user's regret value are stated, the accumulative effect function value of the base station is obtained, comprising:
Pass through following formula:
It adjusts separately user's financial value and the user regrets
Value, obtains the accumulative effect function value of the base station;
Wherein,For the accumulative effect function value of the base station, AkFor the channel of base station k in the isomery spectrum pool of selection, k
For the serial number of base station, For all base stations in the heterogeneous network,K is in the heterogeneous network
The sum of base station, n are the service user of base station k, For base station k service user set, For the set for servicing user, xnk∈ { 0,1 } is the shape for servicing user n at the k of base station
State, xnk=0 is silent status, xnk=1 is state of activation,N is the sum of the service user,
For the base station of the selection of the service user, δ is the weight for coordinating user's financial value and user's regret value,For
The channel A of the service user n contention access base station k of base station kkUser's financial value,It is connect for the service user n competition of base station k
Enter the channel A of base station kkUser's regret value.
Further, the user's financial value and the weight of user's regret value coordinated is default value;
Alternatively,
The user's financial value and the weight of user's regret value coordinated is determined according to δ=1/t, the δ
For the weight for coordinating user's financial value and user's regret value, t is predetermined time slot.
Further, user's financial value in every sub-channels of determination service user's contention access and user
After regret value, the method also includes:
It is lower than the first thresholding in the difference of user's financial value of every sub-channels consecutive frame time slot, and the user regrets
Value is lower than in the case where the second thresholding, it is determined that the channel access plan of the Dispatching Form Headway of the service user and the service user
Slightly.
Further, the Dispatching Form Headway of the determination service user and the channel access strategy of the service user,
Include:
Pass through following formula:
(A*,N*)=arg max U (A, N) determines the Dispatching Form Headway of the service user and the channel of the service user
Access strategy;
Wherein, (A*,N*) it is variable after optimization, A*Form, N are selected for the BTS channel of optimization*For the base station selected of optimization
Form, arg max () are the function for seeking function parameter, and U (A, N) is ratio fair throughput in the heterogeneous network, (A,
It N) is variable to be optimized, A is a channel selection form of all base stations, and N is selection form of the user equipment to base station, arg
Max U (A, N) is to obtain so that the maximum channel selection form of handling capacity and base station selected form;
Wherein, U (A, N) is ratio fair throughput in the heterogeneous network, and α is fairness index, and k is the sequence of base station
Number, For all base stations in the heterogeneous network,K is the total of the base stations in heterogeneous network
Number,Channel A is accessed for the service user n of base station kkData rate, AkFor the channel selection of base station k, k=1,2 ...,
K, AkIndicate set { A1,A2,...,AKIn arbitrary element.
Second aspect, the embodiment of the invention provides a kind of determining devices of channel access strategy, are applied to base station, described
Device includes:
Selecting module, for selecting the channel in isomery spectrum pool in the predetermined time slot of frame, the isomery spectrum pool is
The shared isomery spectrum pool including authorization channel and unauthorized channel in all base stations in heterogeneous network;
Division module, for determine the base station can using the channel and service user between carry out downlink data
In the case where transmission, the channel is divided into more than two subchannels, the use that the service user is serviced by the base station
Family equipment;
First processing module, the user's financial value and use of every sub-channels for determining service user's contention access
Family regret value;
Module is adjusted, for being not less than first in the difference for determining user's financial value of every sub-channels consecutive frame time slot
Limit and user's regret value are regretted not less than in the case where the second thresholding according to coordination user's financial value and the user
The weight of value adjusts separately user's financial value and user's regret value, obtains the accumulative effect function value of the base station;
Second processing module determines in next time slot of the predetermined time slot of frame for being based on the accumulative effect function value
The channel access probability of the base station, obtains next time slot, and the predetermined time slot of more new frame continues to return to the pre- timing executed in frame
In gap, the step of selecting the channel in isomery spectrum pool, until user's financial value of every sub-channels consecutive frame time slot
Difference is lower than second thresholding lower than first thresholding and user's regret value, it is determined that the scheduling of the service user
The channel access strategy of form and the service user.
Further, the adjustment module, is used for:
Pass through following formula:
It adjusts separately user's financial value and the user regrets
Value, obtains the accumulative effect function value of the base station;
Wherein,For the accumulative effect function value of the base station, AkFor the channel of base station k in the isomery spectrum pool of selection,
K is the serial number of base station, For all base stations in the heterogeneous network,K is the heterogeneous network
The sum of middle base station, n are the service user of base station k, For base station k service user set, For the set for servicing user, xnk∈ { 0,1 } is the shape for servicing user n at the k of base station
State, xnk=0 is silent status, xnk=1 is state of activation,N is the sum of the service user,
For the base station of the selection of the service user, δ is the weight for coordinating user's financial value and user's regret value,For
The channel A of the service user n contention access base station k of base station kkUser's financial value,It is connect for the service user n competition of base station k
Enter the channel A of base station kkUser's regret value.
Further, the user's financial value and the weight of user's regret value coordinated is default value;
Alternatively,
The user's financial value and the weight of user's regret value coordinated is determined according to δ=1/t, the δ
For the weight for coordinating user's financial value and user's regret value, t is predetermined time slot.
Further, described device further include:
Third processing module, for determining every height of service user's contention access in the first processing module
After the user's financial value and user's regret value of channel, it is lower than in the difference of user's financial value of every sub-channels consecutive frame time slot
First thresholding, and user's regret value is lower than in the case where the second thresholding, it is determined that the Dispatching Form Headway of the service user
And the channel access strategy of the service user.
Further, the Second processing module, is used for:
Pass through following formula:
(A*,N*)=arg max U (A, N) determines the Dispatching Form Headway of the service user and the channel of the service user
Access strategy;
Wherein, (A*,N*) it is variable after optimization, A*Form, N are selected for the BTS channel of optimization*For the base station selected of optimization
Form, arg max () are the function for seeking function parameter, and U (A, N) is ratio fair throughput in the heterogeneous network, (A,
It N) is variable to be optimized, A is a channel selection form of all base stations, and N is selection form of the user equipment to base station, arg
Max U (A, N) is to obtain so that the maximum channel selection form of handling capacity and base station selected form;
Wherein, U (A, N) is ratio fair throughput in the heterogeneous network, and α is fairness index, and k is the sequence of base station
Number, For all base stations in the heterogeneous network,K is the total of the base stations in heterogeneous network
Number,Channel A is accessed for the service user n of base station kkData rate, AkFor the channel selection of base station k, k=1,2 ...,
K, AkIndicate set { A1,A2,...,AKIn arbitrary element.
The determination method and device of a kind of channel access strategy provided in an embodiment of the present invention, according to coordinates user financial value
With the weight of user's regret value, user's financial value and user's regret value are adjusted separately, determines the accumulative effect function value of base station, this
Sample considers user's financial value and user's regret value, using balance of weights user financial value and user's regret value, completes to letter
Road access strategy optimizes.Since user's financial value is used to reflect in nitrification enhancement " using exploitation ", use
Family regret value is used to reflect " exploring exploration " in nitrification enhancement, therefore compared to the prior art, uses weight
Balance is obtained in " utilization " and " exploration ", completion optimizes channel access strategy, available more preferably to service user
Channel access strategy and service user Dispatching Form Headway, improve the optimization performance of Internet resources.
Certainly, implement any of the products of the present invention or method it is not absolutely required at the same reach all the above excellent
Point.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the first pass schematic diagram of the determination method of channel access strategy provided in an embodiment of the present invention;
Fig. 2 is the second procedure schematic diagram of the determination method of channel access strategy provided in an embodiment of the present invention;
Fig. 3 is the schematic diagram of the heterogeneous network of the embodiment of the present invention;
Fig. 4 is the schematic diagram of the corresponding interference relationships of heterogeneous network of Fig. 3;
Fig. 5 is pair of the determination method of the channel access strategy of the embodiment of the present invention and the accumulative channel capacity of traditional algorithm
Compare schematic diagram;
Fig. 6 is the structural schematic diagram of the determining device of channel access strategy provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The overall description for introducing the embodiment of the present invention first below is as follows.
For how to obtain balance in " utilization " and " exploration " in the prior art, complete to carry out channel access strategy excellent
The problem of change, the determination method of the channel access strategy of the embodiment of the present invention are to cope with complicated base station to be intensively wirelessly transferred scene
In, Internet resources are in short supply and utilization rate is more low problem.It is different from the existing centralized dispatching based on global information or is based on
The learning algorithm of Greedy, using the determination method of channel access strategy, then based on limited local message in a distributed manner
Optimal majorization of solutions thought is approached, the financial value based on historical information is considered, with the depth for carrying out policy space on this basis
" utilization " and the regret value assessed based on future are assisted with the range " exploration " for carrying out policy space on this basis by weight
Financial value and regret value is adjusted on the basis of limited " exploration ", to avoid obtaining so that being balanced and coordinating in learning process
As a result local solution is fallen into a manner of greedy, realizes learning algorithm and optimal solution is approached, that is, determine the scheduling of service user
Form and the channel access strategy for servicing user improve the optimization performance of learning algorithm, and then are future wireless system technology
Development provides resource support with application, also improves the optimization performance of Internet resources.
It continues with to a kind of detailed content progress of the determination method of channel access strategy provided in an embodiment of the present invention
It introduces.
As shown in Figure 1, a kind of determination method of channel access strategy provided by the embodiment of the present invention, is applied to base station,
This method may include steps of:
Above-mentioned base station can be a base station, or more than two base stations, above-mentioned base station belong in heterogeneous network
Cellular base station, it is not limited here.
Step 110, in the predetermined time slot of frame, the channel in isomery spectrum pool is selected, isomery spectrum pool is heterogeneous network
In the shared isomery spectrum pool including authorization channel and unauthorized channel in all base stations.
Wherein, when the predetermined time slot of frame can be a beginning of the channel in selection isomery spectrum pool of the embodiment of the present invention
Gap, it is subsequent there are when iteration with determination, time slot can be started based on this, carry out subsequent timeslot iteration.This frame makes a reservation for
Time slot can be any time slot of frame, for example, the predetermined time slot of this frame can be first time slot, be also possible to the second of frame
A time slot.
This step 110 selects the channel in isomery spectrum pool can further include: in frame in the predetermined time slot of frame
In predetermined time slot, with the channel in initial channel access probability selection isomery spectrum pool.It, can be with based on the predetermined time slot of above-mentioned frame
With the channel in initial channel access probability selection isomery spectrum pool, isomery spectrum pool here includes authorized spectrum band and unauthorized
The isomery spectrum pool of frequency range.As shown in figure 3, these isomeries spectrum pool Spectrum pool belongs to heterogeneous network available channel money
Source, frequency range include frequency range 1, frequency range 2 and frequency range M etc..
Above-mentioned initial channel access probability are as follows:
Wherein, P0For initial channel access probability,For the total number of channels in heterogeneous network,For in network
Spectrum pool channel set,For setIn element number, it is assumed that each service user selects the probability of each channel
It is equal.
In one possible implementation, in this step 110, it can use following steps in the predetermined time slot of frame,
The channel in isomery spectrum pool is selected, but it is not limited to this:
In first time slot of frame, each base station is with the letter in initial channel access probability random selection isomery spectrum pool
Road.Wherein, initial channel access probability can be is configured according to user demand.Initial channel access probability is for user
Channel selection probability initial value, this initial channel access probability is termed to and later period updated channel access
The name of probability distinguishes.Generally be more conform with use habit from first time slot, but be also not necessarily limited to other time slots, in this way with
The channel that machine is selected, fast and easy select channel.
Step 120, in the case where determining that base station can be using downlink data transmission be carried out between channel and service user,
Channel is divided into more than two subchannels, the user equipment that service user is serviced by base station.On this basis, consider from base
It stands to the downlink transmission of user, realizes the maximum of network throughput with channel distribution by reasonable user scheduling
Change.
The step of base station can be using downlink data transmission be carried out between channel and service user is being determined in this step 120
It may include: to judge whether base station can carry out downlink data transmission using between channel and service user.If not, namely
Determine that base station can not carry out downlink data transmission using between channel and service user;If so, namely determining base station energy
Enough downlink data transmission is carried out using between channel and service user.
For the wireless network scenario of building, performance indicator of the handling capacity as resource optimization is added up using system, that is, will be wireless
Network resource optimization problem is embodied as the handling capacity of the user in maximization system under certain frequency range/number of channel limitation.In
On the basis of this, a kind of determination method of channel access strategy is proposed.Financial value based on historical experience information and to future activity
Action, the regret value of risk of selection assessment carries out strategy strategy and updates, and dynamically adjusts in iteration renewal process
The weight of algorithm depth " utilization " and range " exploration ", it is final to realize that base station is based on the performance and efficiency of balanced learning algorithm
Local message approaches globally optimal solution in a distributed fashion, promotes the optimizing performance of nitrification enhancement, to be radio resource
Optimum utilization provide solution.
It is above-mentioned to judge whether base station carry out downlink data transmission using between channel and service user based on this, into
One step may include:
As shown in Fig. 2, step 121, judges that channel is authorization channel or unauthorized channel;Step 122, if channel is to award
Channel is weighed, thens follow the steps 123;
Step 123, base station can carry out downlink data transmission using between channel and service user.
Authorization channel can refer to that the channel in authorized spectrum band, unauthorized channel can be the channel in unauthorized frequency range.
Step 124, if channel is unauthorized channel, step 125;
Step 125, judge whether unauthorized channel is idle in predetermined time slot;If so, namely channel is in predetermined time slot
It is occupied, then follow the steps 126;
Step 126, base station can not be using downlink data transmission be carried out between channel and service user, and base station waits frame
Next time slot;
Step 127, if channel is idle in next time slot, base station carries out downlink using between channel and service user
Data transmission.It can be carried out down in this way using between channel and service user in authorization channel or unauthorized channel, base station
The transmission of row data.
For that channel can be divided into more than two subchannels using following steps, but and unlimited in above-mentioned steps 120
In this:
Step 128, according to service total number of users active in overlay areaTwo are divided into the time domain to channel
A above subchannel carries out downlink data transmission to the mode of time-division and service user, and then avoids internal interference.
Wherein, as shown in figure 3,5G small base station network small cell network, is mainly used for reinforcement network and covers
The role at dead angle.Multiple cellular base stations are uniformly distributed, and there are couplings for the mutual overlay area of multiple cellular base stations and interference region
Conjunction relationship.Consider the middle-size and small-size base station Fig. 3 (Small cell Base Station, abbreviation SBS) and user equipment (User
Device, abbreviation UD) between downlink downlink transmission, base station divides the channel of selection in the time domain, with branch
The user equipment that support group station is serviced.On this basis, each base station is analyzed to dynamics of channels access, distribution and user equipment pair
Base station selected combined optimization problem adds up the performance indicator that handling capacity is optimization with network.
Overlay area can be the overlay area of all base stations in heterogeneous network, and the overlay area of all base stations is expressed as
Ck, For the set of base stations all in heterogeneous network,K is the sum of base stations in heterogeneous network.
As can be known from Fig. 3, small base station includes: small base station 1, small base station 2, small base station 3, small base station 4 and small base station 5,
Small base station in the embodiment of the present invention can be referred to as base station;User equipment includes: user equipment 1 and user equipment 2 etc..
There are two types of situations for the position distribution of user equipment, and one of situation: user equipment is located at the single overlay area of a certain base station
It is interior, such as user equipment 1l1Positioned at base station 2C2Overlay area in, i.e. l1∈C2;Another situation: user is located at multiple base stations
In overlapped overlay area, such as user equipment 2l2Positioned at base station 3C3With base station 5C5Overlay area in, i.e. l2∈C3∩
C5.It follows that in the first scenario, user equipment can select single base station, in the latter case, user equipment can
To assess the service quality of different base station, and optimal base station is selected to be accessed.
Introduce the matching relationship of state matrix X characterization user equipment and base station, it may be assumed that
Wherein, xnk∈ { 0,1 } indicates state of the service user n at the k of base station: silent xnk=0, activate xnk=1, n ∈
[1, N],N is the sum for servicing user, and k ∈ [1, K], K are the sum of base stations in heterogeneous network.It is based on
This, the set of the service user of base station k can be with are as follows:
Wherein,For the set for servicing user.
Assuming that each user equipment at most can access a base station, i.e.,Wherein, i and j is set
In element, i.e., For empty set,For base station i service user set,Service user's for base station j
Set, k are the serial number of base station, For base stations all in heterogeneous network,
Isomery spectrum pool channel set in above-mentioned heterogeneous network can be expressed asM indicates channel
Sum.For the channel of base station k selectionIt can be divided into s in the time domainkSub-channels, to eliminate in base station
It interferes and then meets the data transfer demands of service user active in overlay area in portion, it is clear that haveDue to isomery
The same isomery frequency spectrum Pooled resources are shared in multiple base stations in network, it is thus possible to which can generate cochannel interferes with each other co-
channel interference.Consider base station transmitting power PkFiniteness, then potential interference relationships can be between base station
Are as follows:
Wherein,To there is the collection of base stations of interference, λ to base station kk′For the interference distance interference of base station
Distance, k ' are another base station k ', d for being different from base station kkk′For the distance between base station k and another base station k '.
Step 130, the user's financial value and user's regret value of every sub-channels of service user's contention access are determined.Into one
Step comprises determining that user's financial value of every sub-channels of service user's contention access and user regret in each time slot
Value, can calculate the user's financial value and user's regret value in all time slots in this way, be subsequent required time slot
User's financial value and user's regret value provide foundation.
Wherein, contention access can be base station in the corresponding operating of channel competition time slot, and contention access channel is with after the completion
Continuous data transmission.
The subchannel is used to support the service user for accessing the base station.User's financial value is used to reflect extensive chemical
In habit " utilize exploitation ", user's financial value can refer to the current data rate of user, and user's financial value can also be with
Referred to as financial value.
User's regret value is used to reflect " exploring exploration " in intensified learning, and user's regret value can refer to use
Family current data rate and the expectation that will obtain data rate difference, user's regret value can also be referred to as regret value.
According to formulaIt can determine the use of every sub-channels of service user's contention access
Family financial value, wherein BmFor the bandwidth of channel m,To service user n access base station k's by base station k according to shannon formula
The data rate of channel m,After base station selected channel, by channel distribution to service user, connect by the service user n of base station k
Enter the signal interference ratio SINR of the channel m of base station k.
According to formulaAfter can be with base station selected channel, channel distribution be used to service
Family, by the signal interference ratio SINR of the channel m of the service user n access base station k of base station k, whereinFor the service user n of base station k
The average channel power gain of the channel m of access base station k,For the channel m additive white Gaussian noise (Additive of base station i
White Gaussian Noise, abbreviation AWGN) variance.
Above-mentioned two formula belongs to generalized formula, and when channel m is channel AkWhen, this step 130 can use as follows
Step determines user's financial value of every sub-channels of service user's contention access, and but it is not limited to this:
According to formulaDetermine every sub-channels of service user's contention access
User's financial value;
Wherein, AkFor the channel of base station k, which is the channel that base station k is selected from channel m,For the clothes of base station k
The channel A of business user n contention access base station kkUser's financial value,For according to shannon formula, by the service user n of base station k
The channel A of access base station kkData rate,For the channel A of base station kkBandwidth, skThe subchannel divided for base station k
Number,After base station selected channel, by channel distribution to service user, by the channel of the service user n access base station k of base station k
AkSignal interference ratio SINR, wherein
Wherein, PkFor the transmission power of base station k,For the channel A of the service user n access base station k of base station kkBe averaged
Channel power gain,To there is the collection of base stations of interference to base station k, i is setIn element, For when same
When selecting identical channel, base station k and other base stations generate interference, for heterogeneous network shown in Fig. 3, corresponding interference pass
System is as shown in figure 4, for example, when the identical channel of simultaneous selection, and base station 1 can generate interference with base station 2 and base station 3, i.e.,xnk∈ { 0,1 } is state of the user equipment n at the k of base station, xinFor state of the user equipment i at the n of base station,
PiFor the transmission power of base station i,For the channel A of the service user n access base station i of base station ikAverage channel power gain,For the channel A of base station ikAdditive white Gaussian noise (Additive White Gaussian Noise, abbreviation AWGN) variance.
Step 140, in the difference for determining user's financial value of every sub-channels consecutive frame time slot not less than the first thresholding and
In the case that user's regret value is not less than the second thresholding, according to the weight of coordinates user financial value and user's regret value, adjust respectively
Whole user's financial value and user's regret value obtain the accumulative effect function value of base station.
As shown in Fig. 2, determining that the difference of user's financial value of every sub-channels consecutive frame time slot is not less than in this step 140
First thresholding and user's regret value are not less than the second thresholding, may include:
Step 141, judge the difference of user's financial value of every sub-channels consecutive frame time slot whether be lower than the first thresholding and
Whether user's regret value is lower than the second thresholding;If so, namely in user's financial value of every sub-channels consecutive frame time slot
Difference, lower than in the case where the second thresholding, thens follow the steps 151, determines service user's lower than the first thresholding and user's regret value
Dispatching Form Headway and the channel access strategy for servicing user;If not, namely being received in the user of every sub-channels consecutive frame time slot
The difference of benefit value, not less than in the case where the second thresholding, thens follow the steps 142 not less than the first thresholding and user's regret value, according to
The weight of coordinates user financial value and user's regret value adjusts separately user's financial value and user's regret value, obtains the tired of base station
Count effect function value.
Wherein, the first thresholding and the second thresholding can be and be determined according to user demand.Illustratively, the first thresholding can
With but be not limited to 1, the second thresholding can be, but not limited to be 0.1.
This step 140 can use following formula, adjust user's financial value and user's regret value, obtain the accumulative effect of base station
Functional value is answered, but it is not limited to this:
Pass through following formula:
It adjusts separately user's financial value and the user regrets
Value, obtains the accumulative effect function value of the base station;
Wherein,For the accumulative effect function value of the base station, AkFor the channel of base station k in the isomery spectrum pool of selection,
K is the serial number of base station, For all base stations in the heterogeneous network,K is the heterogeneous network
The sum of middle base station, n are the service user of base station k, For base station k service user set, For the set for servicing user, xnk∈ { 0,1 } is the shape for servicing user n at the k of base station
State, xnk=0 is silent status, xnk=1 is state of activation,N is the sum of the service user,
For the base station of the selection of the service user, δ is the weight for coordinating user's financial value and user's regret value,For
The channel A of the service user n contention access base station k of base station kkUser's financial value,It is connect for the service user n competition of base station k
Enter the channel A of base station kkUser's regret value.
The weight δ of above-mentioned coordination user's financial value and user's regret value is default value, exemplary but unlimited
In this, default value can be 0.5, and general default value is greater than 0.5, then " utilizes " greatly, and " exploration " is small, and convergence is fast;Present count
Value then " utilizes " small less than 0.5, and " explorations " greatly, convergence is slow, can service user at the beginning according to the demand of itself in this way,
Select suitable weight.
Alternatively,
The user's financial value and the weight δ of user's regret value coordinated is determined according to δ=1/t, the δ
For the weight for coordinating user's financial value and user's regret value, t is predetermined time slot.Service user can be solid with one in this way
The weight of fixed number value or one can variable value weight, be either statically or dynamically determining according to demand.
Step 150, based on accumulative effect function value, the channel access of base station in next time slot of the predetermined time slot of frame is determined
Probability, obtains next time slot, and the predetermined time slot of more new frame continues to return execution in the predetermined time slot of frame, selects isomery frequency spectrum
The step of channel in pond, until the difference of user's financial value of every sub-channels consecutive frame time slot is lower than the first thresholding and user
Regret value is lower than the second thresholding, it is determined that services the Dispatching Form Headway of user and services the channel access strategy of user.
Wherein, channel access probability can be the access probability for referring to the accession to channel, carry out area with initial channel access probability
Point.This step 150 may further include: based on accumulative effect function value, determine base in next time slot of the predetermined time slot of frame
The channel access probability stood updates initial channel access probability, obtains next time slot, the predetermined time slot of more new frame continues to return
The step of executing in the predetermined time slot of frame, selecting the channel in isomery spectrum pool, until every sub-channels consecutive frame time slot
The difference of user's financial value is lower than the second thresholding lower than the first thresholding and user's regret value, it is determined that services the Dispatching Form Headway of user
And the channel access strategy of service user.
If after determining the difference of user's financial value of every sub-channels consecutive frame time slot not less than the first thresholding and user
Value is regreted not less than in the case where the second thresholding, according to the weight of coordinates user financial value and user's regret value, adjusts separately user
Financial value and user's regret value obtain the accumulative effect function value of base station.
Based on accumulative effect function value, the channel access probability of base station in next time slot of the predetermined time slot of frame is determined, more
The channel access probability that new last time determines;Next time slot is obtained, the predetermined time slot of more new frame continues to return execution in the predetermined of frame
In time slot, select isomery spectrum pool in channel the step of, until every sub-channels consecutive frame time slot user's financial value difference
Value is lower than the second thresholding lower than the first thresholding and user's regret value, it is determined that services the Dispatching Form Headway of user and services the letter of user
Road access strategy, wherein the channel access probability that last time determines is the channel access probability that this is determined, adjacent last time determines
Channel access probability.Initial channel access probability can be updated with this channel access probability determined in this way, or rear
Last time determining channel access probability can be updated with this channel access probability determined in phase iteration, is used to obtain service
The Dispatching Form Headway at family and the channel access strategy for servicing user.
Above-mentioned accumulative effect function value can be user's financial value of every sub-channels and the weighted value of user's regret value, use
In after coordinating the weighted value of user's financial value and user's regret value of every sub-channels, the accumulative effect of channel is determined.With
Family financial value can be from time dimension, measure the accumulative effect of channel, and user's regret value can be to be tieed up from the performance of channel
On degree, the accumulative effect of channel is measured.
The Dispatching Form Headway for servicing user is a variable N to be optimized;Service user channel access strategy be it is another to
Optimized variable A, the embodiment of the present invention finally determines the Dispatching Form Headway of optimal service user and the channel of service user connects
Enter strategy.
It can be using following steps based on accumulative effect function value, under the predetermined time slot for determining frame in above-mentioned steps 150
The channel access probability of the base station in one time slot, but it is not limited to this:
According to more new formula:Determine frame
The channel access probability of the base station in next time slot of predetermined time slot;
Wherein, pk,mIt (t+1) is the channel access probability of the base station in next time slot of the predetermined time slot of frame, pk,m(t)
For the channel access probability of the base station in the predetermined time slot of frame, t+1 is next time slot of predetermined time slot, and t is predetermined time slot, β
Step-length is updated for algorithm, k is base station serial number, and m is channel designator.AkIt (t) is base in the interior isomery spectrum pool selected of predetermined time slot
It stands the channel of k, 0 < β < 1, β=0.2, but it is not limited to this.
Next time slot is obtained in above-mentioned steps 150, the predetermined time slot timeslot number of more new frame may include: that current time slots add
One, that is, t=t+1.
In the process of the optimal result of the channel access strategy for the Dispatching Form Headway and service user for obtaining determining service user
In, fairness is accounted for, the scheduling of resource and user that optimization may be implemented on the basis of guaranteeing fairness are distributed, and are based on
This, in above-mentioned steps 150 determine it is described service user Dispatching Form Headway and it is described service user channel access strategy, can with but
Be not limited to include:
Pass through following formula:
(A*,N*)=arg max U (A, N) determines the Dispatching Form Headway of the service user and the channel of the service user
Access strategy;
Wherein, (A*,N*) it is variable after optimization, A*Form, N are selected for the BTS channel of optimization*For the base station selected of optimization
Form, arg max () are the function for seeking function parameter, and U (A, N) is ratio fair throughput in the heterogeneous network, (A,
It N) is variable to be optimized, A is a channel selection form of all base stations, and N is selection form of the user equipment to base station, arg
Max U (A, N) is to obtain so that the maximum channel selection form of handling capacity and base station selected form;
Wherein, U (A, N) is the function of independent variable A and N, and U (A, N) is ratio fair throughput in the heterogeneous network, α
For fairness index, k is the serial number of base station, For all base stations in the heterogeneous network,K
For the sum of the base stations in heterogeneous network,Channel A is accessed for the service user n of base station kkData rate, AkFor base station
The channel selection of k, k=1,2 ..., K, AkIndicate set { A1,A2,...,AKIn arbitrary element, n be base station k service use
Family, For base station k service user set,In this way in order to fair in guarantee
Property on the basis of realize resource optimization high efficiency, introduce α-fairness α-fairness index.
In order to simplify it is above-mentioned obtain U (A, N) formula, take α=1 here, it may be assumed that
The above multivariate joint probability optimization problem is modeled as Local Interaction game local interaction game, that is,
WithFormula define player in betting model and on the basis of comprehensively considering current selection activity financial value and regret value
(player) effect function.On this basis, the Nash Equilibrium Nash Equilibrium solution of the betting model is solved.
For the Local Interaction betting model, the embodiment of the present invention provides a kind of determination method of channel access strategy, just
Beginningization cellular base station, that is, player is to the select probability of each channel;Cellular base station is perceived according to probability selection channel
Competition, user base station are accessed according to service quality quality of service assessment selection base station;Base station assessment is current
Under policy selection, the effect value comprising financial value and regret value;Update the channel selection probability of cellular base station.By in a distributed manner
It updates iteration and is met the optimal solution of " exploration " and " utilization " balance or the Approximating Solutions of optimal solution, and then improve intensified learning
Optimizing performance of the algorithm in combinatorial optimization problem, based on this, it can be achieved that the efficient utilization of wireless network resource.
In the embodiment of the present invention, according to the weight of coordinates user financial value and user's regret value, user's income is adjusted separately
Value and user's regret value, determine the accumulative effect function value of base station, consider user's financial value and user's regret value in this way, use
Balance of weights user's financial value and user's regret value, completion optimize channel access strategy.Since user's financial value is used
To reflect in nitrification enhancement that, " using exploitation ", user's regret value is used to reflect " visiting in nitrification enhancement
Rope exploration ", therefore compared to the prior art, the right to use, which focuses on, obtains balance in " utilization " and " exploration ", complete to letter
Road access strategy optimizes, the available channel access strategy for more preferably servicing user and the Dispatching Form Headway for servicing user,
Improve the optimization performance of Internet resources.
Application simulation of the embodiment of the present invention in wireless network resource optimization allocation scenarios is described as follows.
As shown in figure 5, the determination method of the channel access strategy of the embodiment of the present invention and original based on the strong of greedy search
Change learning algorithm, system adds up the contrast schematic diagram of channel capacity under heterogeneous networks scale.It is 100 that square region size, which is arranged,
× 100, authorization channel and unauthorized total number of channels are respectively 4 and 2 in network spectrum pond, then have M=6.Total number of base is from 5 to 30
Middle value, corresponding user equipment sum from 10 to 100 in value.Under different cellular base station numbers, emulation generates 20 isomeries
Network model, each heterogeneous network Model Independent are run 500 times.As shown in figure 5, abscissa is total number of base, ordinate is tired
Count channel capacity.It can be seen from simulation result under different network sizes, the channel access strategy of the embodiment of the present invention is really
Method is determined better than original nitrification enhancement based on greedy search.
The embodiment of the present invention proposes a kind of determination method of channel access strategy, a variety of moneys in the wireless network that faces the future
The optimization distribution in source and efficiently utilization.Compared to global information in need and based on Greedy search nitrification enhancement,
A kind of determination method for channel access strategy that the embodiment of the present invention proposes can obtain on the basis of guaranteeing network fairness
The Approximating Solutions for obtaining globally optimal solution or optimal solution determine the Dispatching Form Headway of the service user and the channel of the service user
Access strategy.In this way, the utilization rate of resource can be improved, more efficient network performance is realized, be that future wireless network resource is excellent
Change and provides a kind of feasible solution with QoS of customer guarantee.
A kind of letter proposed compared to the study trial and error process for being based on single Greedy depth " utilization ", the embodiment of the present invention
The determination method of road access strategy can balance " exploration " and " utilization " two search dimensions well, guarantee algorithmic statement
On the basis of efficiency, it may make to avoid the limitation of local suboptimal solution to greatest extent, to approach by iteration renewal process
Globally optimal solution determines the Dispatching Form Headway of the service user and the channel access strategy of the service user.The present invention is real
It applies example and carries out mathematical modeling using non-cooperative game, construct a Local Interaction betting model to characterize multidimensional in wireless network
Combinatorial optimization problem, and analyze the Nash Equilibrium Solution of the betting model.In this theoretical basis, what the embodiment of the present invention proposed
A kind of determination method of channel access strategy, base station update optimisation strategy according to itself local message and select.
It continues with and a kind of determining device of channel access strategy provided in an embodiment of the present invention is introduced.
As shown in fig. 6, the embodiment of the present invention also provides a kind of determining device of channel access strategy, it is applied to base station, institute
Stating device includes:
Selecting module 11, for selecting the channel in isomery spectrum pool, the isomery spectrum pool in the predetermined time slot of frame
The isomery spectrum pool including authorization channel and unauthorized channel shared for base stations all in heterogeneous network;
Division module 12, for determine the base station can using the channel and service user between carry out lower line number
In the case where according to transmission, the channel is divided into more than two subchannels, the service user base station is serviced
User equipment;
First processing module 13, for determine it is described service user's contention access every sub-channels user's financial value and
User's regret value;
Module 14 is adjusted, for being not less than first in the difference for determining user's financial value of every sub-channels consecutive frame time slot
In the case that thresholding and user's regret value are not less than the second thresholding, after coordinating user's financial value and the user
The weight for regreting value, adjusts separately user's financial value and user's regret value, obtains the accumulative effect function of the base station
Value;
Second processing module 15 determines next time slot of the predetermined time slot of frame for being based on the accumulative effect function value
The channel access probability of the interior base station, obtains next time slot, and the predetermined time slot of more new frame continues to return execution in the predetermined of frame
In time slot, select isomery spectrum pool in channel the step of, until every sub-channels consecutive frame time slot user's financial value
Difference be lower than second thresholding lower than first thresholding and user's regret value, it is determined that the tune of the service user
The channel access strategy of degree form and the service user.
In the embodiment of the present invention, according to the weight of coordinates user financial value and user's regret value, user's income is adjusted separately
Value and user's regret value, determine the accumulative effect function value of base station, consider user's financial value and user's regret value in this way, use
Balance of weights user's financial value and user's regret value, completion optimize channel access strategy.Since user's financial value is used
To reflect in nitrification enhancement that, " using exploitation ", user's regret value is used to reflect " visiting in nitrification enhancement
Rope exploration ", therefore compared to the prior art, the right to use, which focuses on, obtains balance in " utilization " and " exploration ", complete to letter
Road access strategy optimizes, the available channel access strategy for more preferably servicing user and the Dispatching Form Headway for servicing user,
Improve the optimization performance of Internet resources.
In one possible implementation, the adjustment module, is used for:
Pass through following formula:
It adjusts separately user's financial value and the user regrets
Value, obtains the accumulative effect function value of the base station;
Wherein,For the accumulative effect function value of the base station, AkFor the channel of base station k in the isomery spectrum pool of selection, k
For the serial number of base station, For all base stations in the heterogeneous network,K is the heterogeneous network
The sum of middle base station, n are the service user of base station k, For base station k service user set, For the set for servicing user, xnk∈ { 0,1 } is the shape for servicing user n at the k of base station
State, xnk=0 is silent status, xnk=1 is state of activation,N is the sum of the service user,For
The base station of the selection of the service user, δ is the weight for coordinating user's financial value and user's regret value,For base
Stand k service user n contention access base station k channel AkUser's financial value,For service user's n contention access of base station k
The channel A of base station kkUser's regret value.
In one possible implementation, the weight of coordination user's financial value and user's regret value is
Default value;
Alternatively,
The user's financial value and the weight of user's regret value coordinated is determined according to δ=1/t, the δ
For the weight for coordinating user's financial value and user's regret value, t is predetermined time slot.
In one possible implementation, described device further include:
Third processing module, for determining every height of service user's contention access in the first processing module
After the user's financial value and user's regret value of channel, it is lower than in the difference of user's financial value of every sub-channels consecutive frame time slot
First thresholding, and user's regret value is lower than in the case where the second thresholding, it is determined that the Dispatching Form Headway of the service user
And the channel access strategy of the service user.
In one possible implementation, the Second processing module, is used for:
Pass through following formula:
(A*, N*)=arg max U (A, N) determines the Dispatching Form Headway of the service user and the channel of the service user
Access strategy;
Wherein, (A*, N*) it is variable after optimization, A*Form, N are selected for the BTS channel of optimization*For the base station selected of optimization
Form, arg max () are the function for seeking function parameter, and U (A, N) is ratio fair throughput in the heterogeneous network, (A,
It N) is variable to be optimized, A is a channel selection form of all base stations, and N is selection form of the user equipment to base station, arg
Max U (A, N) is to obtain so that the maximum channel selection form of handling capacity and base station selected form;
Wherein, U (A, N) is ratio fair throughput in the heterogeneous network, and α is fairness index, and k is the sequence of base station
Number, For all base stations in the heterogeneous network,K is the total of the base stations in heterogeneous network
Number,Channel A is accessed for the service user n of base station kkData rate, AkFor the channel selection of base station k, k=1,2 ...,
K, AkIndicate set { A1,A2..., AKIn arbitrary element.
The embodiment of the invention also provides a kind of base station, the determining device including above-mentioned channel access strategy.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Each embodiment in this specification is all made of relevant mode and describes, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device/
For base station embodiment, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to method
The part of embodiment illustrates.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of determination method of channel access strategy, which is characterized in that be applied to base station, which comprises
In the predetermined time slot of frame, the channel in isomery spectrum pool is selected, the isomery spectrum pool is all bases in heterogeneous network
It stands a shared isomery spectrum pool including authorization channel and unauthorized channel;
In the case where determining that the base station can be using downlink data transmission be carried out between the channel and service user, by institute
It states channel and is divided into more than two subchannels, the user equipment that the service user is serviced by the base station;
Determine the user's financial value and user's regret value of every sub-channels of service user's contention access;
Regret in the difference for determining user's financial value of every sub-channels consecutive frame time slot not less than the first thresholding and the user
Value, according to the weight for coordinating user's financial value and user's regret value, is adjusted respectively not less than in the case where the second thresholding
Whole user's financial value and user's regret value obtain the accumulative effect function value of the base station;
Based on the accumulative effect function value, determine that the channel access of the base station in next time slot of the predetermined time slot of frame is general
Rate, obtains next time slot, and the predetermined time slot of more new frame continues to return execution in the predetermined time slot of frame, selects isomery spectrum pool
In channel the step of, until every sub-channels consecutive frame time slot user's financial value difference be lower than first thresholding
And user's regret value is lower than second thresholding, it is determined that the Dispatching Form Headway of the service user and the service user
Channel access strategy.
2. the method as described in claim 1, which is characterized in that it is described according to user's financial value and the user is coordinated after
The weight for regreting value, adjusts separately user's financial value and user's regret value, obtains the accumulative effect function of the base station
Value, comprising:
Pass through following formula:
User's financial value and user's regret value are adjusted separately, is obtained
The accumulative effect function value of the base station;
Wherein,For the accumulative effect function value of the base station, AkFor the channel of base station k in the isomery spectrum pool of selection, k is base station
Serial number, For all base stations in the heterogeneous network,K is the total of the base stations in heterogeneous network
Number, n are the service user of base station k, For base station k service user set, For the set for servicing user, xnk∈ { 0,1 } is the state for servicing user n at the k of base station, xnk=0 is silent status, xnk=
1 is state of activation,N is the sum of the service user,For the base of the selection of the service user
It standing, δ is the weight for coordinating user's financial value and user's regret value,For service user's n contention access of base station k
The channel A of base station kkUser's financial value,For the channel A of the service user n contention access base station k of base station kkUser after
Regret value.
3. method according to claim 1 or 2, which is characterized in that after coordination user's financial value and the user
The weight for regreting value is default value;
Alternatively,
The user's financial value and the weight of user's regret value coordinated is determined according to δ=1/t, and the δ is association
The weight of user's financial value and user's regret value is adjusted, t is predetermined time slot.
4. the method as described in claim 1, which is characterized in that in every height of determination service user's contention access
After the user's financial value and user's regret value of channel, the method also includes:
It is lower than the first thresholding in the difference of user's financial value of every sub-channels consecutive frame time slot, and user's regret value is low
In the case where the second thresholding, it is determined that the Dispatching Form Headway of the service user and the channel access strategy of the service user.
5. method as described in claim 1 or 4, which is characterized in that the Dispatching Form Headway of the determination service user and institute
State the channel access strategy of service user, comprising:
Pass through following formula:
(A*, N*)=argmaxU (A, N) determines the Dispatching Form Headway of the service user and the channel access plan of the service user
Slightly;
Wherein, (A*, N*) it is variable after optimization, A*Form, N are selected for the BTS channel of optimization*For the base station selected form of optimization,
Arg max () is the function for seeking function parameter, and U (A, N) is ratio fair throughput in the heterogeneous network, (A, N) be to
Optimized variable, A are a channel selection form of all base stations, and N is user equipment to the selection form of base station, argmaxU (A,
N) for acquisition so that the maximum channel selection form of handling capacity and base station selected form;
Wherein, U (A, N) is ratio fair throughput in the heterogeneous network, and α is fairness index, and k is the serial number of base station, For all base stations in the heterogeneous network,K is the sum of the base stations in heterogeneous network,Channel A is accessed for the service user n of base station kkData rate, AkFor the channel selection of base station k, k=1,2 ..., K, Ak
Indicate set { A1,A2,...,AKIn arbitrary element.
6. a kind of determining device of channel access strategy, which is characterized in that be applied to base station, described device includes:
Selecting module, in the predetermined time slot of frame, selecting the channel in isomery spectrum pool, the isomery spectrum pool is isomery
The shared isomery spectrum pool including authorization channel and unauthorized channel in all base stations in network;
Division module, for determine the base station can using the channel and service user between carry out downlink data transmission
In the case where, the channel is divided into more than two subchannels, the user that the service user is serviced by the base station sets
It is standby;
First processing module, for determine it is described service user's contention access every sub-channels user's financial value and user after
Regret value;
Adjust module, for the difference for determining user's financial value of every sub-channels consecutive frame time slot not less than the first thresholding and
In the case that user's regret value is not less than the second thresholding, according to coordinating user's financial value and user's regret value
Weight adjusts separately user's financial value and user's regret value, obtains the accumulative effect function value of the base station;
Second processing module determines described in next time slot of the predetermined time slot of frame for being based on the accumulative effect function value
The channel access probability of base station, obtains next time slot, and the predetermined time slot of more new frame continues to return to the predetermined time slot executed in frame
It is interior, select isomery spectrum pool in channel the step of, until every sub-channels consecutive frame time slot user's financial value difference
Value is lower than second thresholding lower than first thresholding and user's regret value, it is determined that the scheduling shape of the service user
The channel access strategy of formula and the service user.
7. device as claimed in claim 6, which is characterized in that the adjustment module is used for:
Pass through following formula:
User's financial value and user's regret value are adjusted separately, is obtained
The accumulative effect function value of the base station;
Wherein,For the accumulative effect function value of the base station, AkFor the channel of base station k in the isomery spectrum pool of selection, k is base station
Serial number, For all base stations in the heterogeneous network,K is the total of the base stations in heterogeneous network
Number, n are the service user of base station k, For base station k service user set, For the set for servicing user, xnk∈ { 0,1 } is the state for servicing user n at the k of base station, xnk=0 is silent status, xnk=
1 is state of activation,N is the sum of the service user,For the base of the selection of the service user
It standing, δ is the weight for coordinating user's financial value and user's regret value,For service user's n contention access of base station k
The channel A of base station kkUser's financial value,For the channel A of the service user n contention access base station k of base station kkUser after
Regret value.
8. device as claimed in claims 6 or 7, which is characterized in that after coordination user's financial value and the user
The weight for regreting value is default value;
Alternatively,
The user's financial value and the weight of user's regret value coordinated is determined according to δ=1/t, and the δ is association
The weight of user's financial value and user's regret value is adjusted, t is predetermined time slot.
9. device as claimed in claim 6, which is characterized in that described device further include:
Third processing module, for determining every sub-channels of service user's contention access in the first processing module
User's financial value and user's regret value after, every sub-channels consecutive frame time slot user's financial value difference be lower than first
Thresholding, and user's regret value is lower than in the case where the second thresholding, it is determined that the Dispatching Form Headway of the service user and institute
State the channel access strategy of service user.
10. the device as described in claim 6 or 9, which is characterized in that the Second processing module is used for:
Pass through following formula:
(A*, N*)=arg max U (A, N) determines the Dispatching Form Headway of the service user and the channel access of the service user
Strategy;
Wherein, (A*, N*) it is variable after optimization, A*Form, N are selected for the BTS channel of optimization*For the base station selected form of optimization,
Arg max () is the function for seeking function parameter, and U (A, N) is ratio fair throughput in the heterogeneous network, (A, N) be to
Optimized variable, A are a channel selection form of all base stations, and N is selection form of the user equipment to base station, arg maxU
(A, N) is to obtain so that the maximum channel selection form of handling capacity and base station selected form;
Wherein, U (A, N) is ratio fair throughput in the heterogeneous network, and α is fairness index, and k is the serial number of base station, For all base stations in the heterogeneous network,K is the sum of the base stations in heterogeneous network,Channel A is accessed for the service user n of base station kkData rate, AkFor the channel selection of base station k, k=1,2 ..., K, Ak
Indicate set { A1, A2..., AKIn arbitrary element.
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Citations (7)
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---|---|---|---|---|
CN102711115A (en) * | 2012-05-24 | 2012-10-03 | 上海交通大学 | Multiuser distributed access method of opportunistic spectrum resources in cognitive radio network |
US20130288734A1 (en) * | 2007-03-08 | 2013-10-31 | Apurva N. Mody | Cognitive radio methodology, physical layer policies and machine learning |
CN103582094A (en) * | 2013-10-09 | 2014-02-12 | 上海交通大学 | Energy-saving dynamic spectrum access strategy method for multiple slave users and multiple channels |
CN109361482A (en) * | 2018-09-04 | 2019-02-19 | 中国人民解放军陆军工程大学 | A method of determining that multi-user selects channel-aware sequence based on non-cooperative game |
CN109803338A (en) * | 2019-02-12 | 2019-05-24 | 南京邮电大学 | A kind of dual link base station selecting method based on degree of regretting |
CN110035539A (en) * | 2019-03-14 | 2019-07-19 | 北京邮电大学 | One kind being based on the matched resource optimal distribution method of correlated equilibrium regret value and device |
CN110049436A (en) * | 2019-05-14 | 2019-07-23 | 北京邮电大学 | Distributed channel distribution and shared method and system based on isomery frequency spectrum |
-
2019
- 2019-08-05 CN CN201910718568.XA patent/CN110461040B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130288734A1 (en) * | 2007-03-08 | 2013-10-31 | Apurva N. Mody | Cognitive radio methodology, physical layer policies and machine learning |
CN102711115A (en) * | 2012-05-24 | 2012-10-03 | 上海交通大学 | Multiuser distributed access method of opportunistic spectrum resources in cognitive radio network |
CN103582094A (en) * | 2013-10-09 | 2014-02-12 | 上海交通大学 | Energy-saving dynamic spectrum access strategy method for multiple slave users and multiple channels |
CN109361482A (en) * | 2018-09-04 | 2019-02-19 | 中国人民解放军陆军工程大学 | A method of determining that multi-user selects channel-aware sequence based on non-cooperative game |
CN109803338A (en) * | 2019-02-12 | 2019-05-24 | 南京邮电大学 | A kind of dual link base station selecting method based on degree of regretting |
CN110035539A (en) * | 2019-03-14 | 2019-07-19 | 北京邮电大学 | One kind being based on the matched resource optimal distribution method of correlated equilibrium regret value and device |
CN110049436A (en) * | 2019-05-14 | 2019-07-23 | 北京邮电大学 | Distributed channel distribution and shared method and system based on isomery frequency spectrum |
Non-Patent Citations (3)
Title |
---|
PAN ZHOU ET AL: "Near-Optimal and Practical Jamming-Resistant Energy-Efficient Cognitive Radio Communications", 《 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 》 * |
刘红杰,李书芳: "认知无线网络中频谱池接入策略性能分析", 《北京邮电大学学报》 * |
班颖: "《哈尔滨工程大学工学硕士论文》", 15 January 2014 * |
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