CN108901028A - The combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency - Google Patents
The combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
- H04W16/10—Dynamic resource partitioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/14—Spectrum sharing arrangements between different networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The present invention relates to the technical fields of communication means to include the following steps more particularly, to the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency：Each node transmission rate in cooperative cognitive radio net is calculated, secondary user's sending node sends power PRBound and collection of energy factor ρ value range；Take m equally distributed PRAnd n equally distributed ρ；By PRAnd ρ is substituted into, and all possible primary user's safe capacity R is calculated using the method for exhaustionSECAnd secondary user's sending node dump energyGiven weighting factor δ, is obtained by calculation RSECWithMaximum weighted andThe present invention considers that time user's sending node has the function of the executive mode of collaboration communication between collection of energy and primary user's network and secondary user's sending node, then combined optimization primary user in cognitive radio network safe capacity and time user's energy efficiency, while guaranteeing primary user's communication security capacity, the dump energy of user's sending node is maximized.
Description
Technical field
The present invention relates to the technical fields of communication means, more particularly, to cooperative cognitive radio net safe capacity
With the combined optimization method of energy efficiency.
Background technique
With the explosive increase of mobile communication equipment and the continuous expansion of cordless communication network scale, on the one hand, wireless
Frequency spectrum resource becomes further rare；On the other hand, the utilization rate of allocated frequency spectrum resource waits to improve.As a kind of emerging skill
Art, cognitive radio (Cognitive Radio, CR) allow time user (Secondary User, SU) to use primary user
The idle frequency spectrum of (Primary User, PU) improves the utilization rate of frequency spectrum resource to effectively solve the problems, such as " frequency spectrum is hungry ".
Due to the finite energy of conventional mobile device, single battery-powered mode is no longer satisfied the needs of wireless communication system.
Collection of energy (Energy Harvesting, EH) technology by renewable energy, such as solar energy, wind energy etc., is drawn from environment
Take energy for communicating, it is unlimited that the energy collected can be.Using EH technology, the utilization of clean energy resource can be greatly improved
Rate extends the lifetime of wireless telecom equipment.Since primary user PU sends message using the forms of broadcasting in communication process, exist
The risk being ravesdropping.Although can be with effective guarantee communication security, due to the meter of mobile device using cryptography encryption technology
Calculation ability is limited, and the operation higher enciphering and deciphering algorithm of complexity is easy the more energy of consumption equipment, to reduce the continuous of equipment
Boat ability.Existing program assumes that equipment possesses enough energy and communicated more at present, does not meet reality.In addition, existing scheme
The safe capacity problem of more research primary users or the safe capacity problem of secondary user, have ignored time energy dose-effect of user's sending node
Rate.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide cooperative cognitive radio net safe capacity and energy
The combined optimization method of amount efficiency, to primary user and time subscriber channel money in a collection of energy cooperative cognitive radio net
The reasonable distribution in source makes primary user's sending node reach communication security capacity；And guaranteeing the same of primary user's communication security capacity
When, time dump energy of user's sending node R is maximized, time user's sending node long time continuous working is enable.
In order to solve the above technical problems, the technical solution adopted by the present invention is that：
There is provided cooperative cognitive radio net safe capacity and energy efficiency combined optimization method, the cooperative cognitive without
Gauze network includes primary user's sending node S, primary user's receiving node D, one user's sending node R, one time
A user's receiving node O and listener-in E；The combined optimization method includes the following steps：
S1. the transmission rate of each node in cooperative cognitive radio net is calculated, and calculates time user's sending node
Send power PRBound, calculate collection of energy factor ρ value range；
S2. the P being calculated from step S1RAnd m equally distributed P are taken out in the value range of ρRValue and n are a uniformly
The ρ value of distribution；
S3. the P obtained based on step S2RAll possible primary user's safety is calculated using the method for exhaustion in value and ρ value
Capacity RSECValue and secondary user's sending node dump energyValue, respectively be stored in two 1 × mn matrix in, the two it
Between be one-to-one relationship, i.e. a RSECIt is one corresponding
S4. weighting factor δ is given, all R in step S3 are calculatedSECWithWeighted sum, obtain by comparing
Weighted sum StradeoffMaximum value.
The combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency of the invention, in an energy
It collects in cooperative cognitive radio net to the reasonable distribution of primary user and time subscriber channel resource, reaches primary user's sending node
To communication security capacity；And while guaranteeing primary user's communication security capacity, time residual energy of user's sending node R is maximized
Amount enables time user's sending node long time continuous working.
Preferably, the transmission power P of time user's sending node described in step S1RBound be：
In formula, VROThe minimum transmission rate needed between secondary user's sending node R and secondary user's receiving node O, β are association
Make the communication factor, W is channel width, N0For single side power extension density, the collection of energy effect that ∈ is time user's sending node R
Rate, hROThe fading channel factor between R and O.
The value range of collection of energy factor ρ described in step S1 is expressed as：
In formula, Q is the data volume (unit bit) that primary user's sending node S is sent, VpFor primary user's sending node S's
Power is sent, T is the unit time.
Preferably, the method for exhaustion described in step S3 is included the following steps using the double-deck circulation, execution method：
S31. i=1 is enabled, outer loop is executed, remembers that the transmission power of secondary user's sending node at this time is
S32. j=1 is enabled, internal circulation is executed, remembers that the collection of energy factor at this time is ρj；
S33. it substitutes intoAnd ρj, calculate primary user's safe capacity RSEC, it is stored in 1 × mn matrix；Calculate time user
ENERGY E needed for sending node sends messageTXIf secondary user's sending node is unable to satisfy transmission demand, continue to collect energy, directly
To meet demand, then calculate time user's sending node dump energyThe matrix that obtained result is stored in a 1 × mn is worked as
In；
S34. j=j+1 is enabled, step S33 is jumped to, circulation inside next round is executed, when j > n, jumps out inside and follow
Ring executes step S35；
S35. i=i+1 is enabled, step S32 is jumped to, executes next round outer loop, when i > m, outer loop is whole
Only.
Preferably, ENERGY E needed for time user's sending node described in step S33 sends messageTXFor：
ETX=PR(1-ρ)T
ETXCollaboration communication is carried out including secondary user's sending node and sends own message to time energy of user's receiving node
Amount consumption, after message is sent, secondary user's sending node dump energyIt is updated to：
In formula,For secondary user's sending node time slot T primary power,Disappear for secondary user's sending node in transmission
Collected energy before breath, by updated dump energyPrimary power as time slot T+1.
Preferably, whether time user's sending node dump energy meets the judgment method of transmission demand and includes in step S33：
(1) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will carry out collection of energy, directly
To meet demand；By the collection of energy of n time slot, the primary power of secondary user's sending node is updated toT is time slot, and ∈ is the efficiency of energy collection of R；
(2) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will continue energy receipts
Collection, until meet demand；By the collection of energy of n time slot, the energy that secondary user's sending node is collected into is updated toT is time slot, and ∈ is the efficiency of energy collection of R；
(3) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will continue
Collection of energy, until meet demand；By the collection of energy of n time slot, the gross energy of secondary user's sending node is updated toT is time slot, and ∈ is the efficiency of energy collection of R.
Preferably, in step S4, weighted sum StradeoffFor：
In formula, Weightfactor of the δ between safe capacity and efficiency of energy collection, 0 < δ < 1.
Compared with prior art, the beneficial effects of the invention are as follows：
The combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency of the invention considers time user
Sending node has the function of collection of energy, and the execution side of collaboration communication is used between primary user's network and secondary user's sending node
Formula can weigh primary user in cognitive radio network safe capacity and time user's energy efficiency, in conjunction with collection of energy and association
It communicates, classifying rationally is carried out to channel, primary user's sending node is enable to realize that secure communication, secondary user's sending node continue
It works long hours, while guaranteeing primary user's communication security capacity, maximizes time dump energy of user's sending node.
Detailed description of the invention
Fig. 1 is one middle and small scale cover type cognitive radio networks illustraton of model of embodiment.
Fig. 2 is the working time slot dividing condition schematic diagram to primary user and time user.
Fig. 3 is the execution flow chart of small-scale cover type cognitive radio networks.
Fig. 4 is the flow chart of the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency.
Fig. 5 is that fixed user's sending node sends power PRWhen, collaboration communication factor ρ and weighting factor δ are to target letter
Several influence schematic diagrames.
When Fig. 6 is fixed collaboration communication factor ρ, secondary user's sending node sends power PRWith weighting factor δ to target letter
Several influence schematic diagrames.
Specific embodiment
The present invention is further illustrated With reference to embodiment.Wherein, attached drawing only for illustration,
What is indicated is only schematic diagram, rather than pictorial diagram, should not be understood as the limitation to this patent；Reality in order to better illustrate the present invention
Example is applied, the certain components of attached drawing have omission, zoom in or out, and do not represent the size of actual product；To those skilled in the art
For, the omitting of some known structures and their instructions in the attached drawings are understandable.
The same or similar label correspond to the same or similar components in the attached drawing of the embodiment of the present invention；It is retouched in of the invention
In stating, it is to be understood that if the orientation or positional relationship for having the instructions such as term " on ", "lower", "left", "right" is based on attached drawing
Shown in orientation or positional relationship, be merely for convenience of description of the present invention and simplification of the description, rather than indication or suggestion is signified
Device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore positional relationship is described in attached drawing
Term only for illustration, should not be understood as the limitation to this patent, for the ordinary skill in the art, can
To understand the concrete meaning of above-mentioned term as the case may be.
Embodiment 1
It is excellent for cooperative cognitive radio net safe capacity of the invention and combining for energy efficiency as shown in Figures 1 to 6
The embodiment of change method, includes the following steps：
S1. the transmission rate of each node in cooperative cognitive radio net is calculated, and calculates time user's sending node
Send power PRBound, calculate collection of energy factor ρ value range；
S2. the P being calculated from step S1RAnd m equally distributed P are taken out in the value range of ρRValue and n are a uniformly
The ρ value of distribution；
S3. the P obtained based on step S2RAll possible primary user's safety is calculated using the method for exhaustion in value and ρ value
Capacity RSECValue and secondary user's sending node dump energyValue, respectively be stored in two 1 × mn matrix in, the two it
Between be one-to-one relationship, i.e. a RSECIt is one corresponding
S4. weighting factor δ is given, all R in step S3 are calculatedSECWithWeighted sum, obtain by comparing
Weighted sum StradeoffMaximum value.
Specifically, the method for exhaustion described in step S3 is included the following steps using the double-deck circulation, execution method：
S31. i=1 is enabled, outer loop is executed, remembers that the transmission power of secondary user's sending node at this time is
S32. j=1 is enabled, internal circulation is executed, remembers that the collection of energy factor at this time is ρj；
S33. it substitutes intoAnd ρj, calculate primary user's safe capacity RSEC, it is stored in 1 × mn matrix；Calculate time user
ENERGY E needed for sending node sends messageTXIf secondary user's sending node is unable to satisfy transmission demand, continue to collect energy, directly
To meet demand, then calculate time user's sending node dump energyThe matrix that obtained result is stored in a 1 × mn is worked as
In；
S34. j=j+1 is enabled, step S33 is jumped to, circulation inside next round is executed, when j > n, jumps out inside and follow
Ring executes step S35；
S35. i=i+1 is enabled, step S32 is jumped to, executes next round outer loop, when i > m, outer loop is whole
Only.
The present embodiment is illustrated by taking a small-scale cover type cognitive radio networks as an example, as shown in Figure 1, including one
A primary user's sending node S, primary user's receiving node D, one user's sending node R, one user's receiving node O
An and listener-in E.To realize that collaboration communication, the energy that R consumption is collected into help S to forward the message to D.In addition, E can be eavesdropped
S, the communication between D and R, and attempt to obtain the raw information that they send.In figure, h indicates the fading channel factor.The present embodiment
It is assumed that the communication between R to O be it is non-secret, i.e., do not consider the safe capacity of user network, while assuming that S and D possess enough
Energy, and R is energy constraint, and should collect enough energy before work and be passed with carrying out collaboration communication and own message
It is defeated.
As shown in Figure 2 to Figure 3, the executive mode of collaboration communication is used between primary user's network and secondary user's sending node.
The working time slot of primary user and time user are divided first, ρ indicates time user's sending node as the collection of energy factor
The ratio of collection of energy time；(1- β) is used as the collaboration communication factor, indicates collaboration communication time slot ratio shared by (1- ρ) T time
Example.In [0, the ρ T] period, R first energy is collected in environment, for next stage assist S forward the message to D and oneself
Send messages to O use；When R is collecting energy, S can not be assisted to forward message, S will directly transmit message to D at this time, be somebody's turn to do
Partial information will be eavesdropped by E, and therefore, S can only send non-secret message to D in [0, the ρ T] period, and classified information is then being assisted
Make communication time slot forwarding；If S has more classified information to be forwarded, but cannot forward completion completely in a time slot T, then
It can continue to forward in nT time slot, wherein { 1,2,3 ... } n ∈.Then S and R carries out collaboration communication, wherein [ρ T, ρ T+ (1-
α) (1- β) (1- ρ) T] first stage of the time slot as cooperation transmission, the classified information of oneself is sent to R by S.Due to being broadcast
Form, D and E also will receive the message of S transmission.In second stage [ρ T+ (1- α) (1- β) (1- ρ) T, ρ the T+ (1- of cooperation transmission
β) (1- ρ) T], R can help S to forward the message to D, and be listened to by E.Finally it is left β (1- ρ) T time slot and leaves R for as return
Time slot, the authorized spectrum band that R can use S at this time send messages to O.In addition, present embodiment assumes that in this communication network, respectively
Channel width when communicating between a user is W.
To calculate safe capacity, the transmission rate of different nodes is analyzed respectively.By shannon formula it is found that the wink of R
When transmission rate VRFor：
In formula (1), P indicates the transmission power (P > 0) of node S, N0Indicate single side power extension density.Since D is cooperating
The first stage of transmission all receives message with second stage, channel width when W is communicated between each user；By maximum
Ratio combines the instantaneous transmission rate V it is found that DDFor：
Similarly, E has received message in 2 stages of cooperation transmission, therefore, the instantaneous transmission rate V of EEIt is represented by：
The present invention uses DF cooperation transmission mechanism, therefore the transmission rate that D and E is totalWithEqual to cooperation transmission two
The minimum value in stage, i.e.,：
And
Association type (1)~(5) can obtain：
Being defined by safe capacity can obtain, primary user's safe capacity RSECFor：
In formula, [x]+It is defined asAssuming that β, ρ are it is known that as (1- α) VR≥αVDWhen, it is availableR at this timeSEC=α (1- β) (1- ρ) [VD-VE]+, it can be seen that this is a dull delivery function, therefore is maximized
RSECIt is equivalent to and maximizes α, i.e.,As (1- α) VR< α VDWhen, it is availableR at this timeSEC=
(1-β)(1-ρ)[VR-α(VR+VE)]+, by above-mentioned [x]+Definition is it is found that when α minimum, RSECObtain maximum value.
To sum up, the optimal value of α isAt this time：
Then collection of energy and energy consuming process are quantified.It is assumed that in each time slot T, S sends Q, and (unit is
Bit) data, transmission rate Vp, then in [0, the ρ T] period, the data that S is sent are Vpρ T (unit bit) and the part number
According to should be non-secret data.Remaining secret data (Q-Vpρ T) (unit bit) need to transmit by collaboration communication.In addition,
∈ is enabled to indicate the efficiency of energy collection of R, then in [0, the ρ T] period, the energy that R is collected into is ∈ ρ T, it is assumed that the transmission power of R
For PR, then cooperation transmission consumption energy is PR(1-β)(1-ρ)T, dump energy ∈ ρ T-PR(1- β) (1- ρ) T will support R transmission to disappear
Cease O.
By above-mentioned derivation it is found that the transmission rate between R and O isThe rate is not
The rate V of demand can be less thanRO, it is expressed as：
In addition, after cooperation transmission, secondary user's sending node dump energy ∈ ρ T-PR(1- β) (1- ρ) T, and secondary user sends
Energy needed for communicating between node and secondary user's receiving node is PRβ (1- ρ) T, therefore have：
Defining energy efficiency is time remaining energy of user's sending node, is expressed as：
Wherein：
ETX=PR(1-ρ)T (15)
In formula,Time user's sending node was indicated in the primary power of time slot T, by formula (13) it is found that its value and upper a period of time
The value of gap T-1 dump energy is equal；Formula (14) indicates time user's sending node collected energy before facilitating communications next time,
After some time slot, the energy that secondary user is possessed may be unable to satisfy collaboration communication next time, it is thus possible to can consume n
A T time carries out collection of energy；Formula (15) indicates that time user's sending node carries out collaboration communication and sends own message to secondary
The energy consumption of user's receiving node.
To make the safe capacity of primary user maximum, secondary user's sending node, which needs to improve, sends power, but it is continued a journey
Ability can also decrease, and there is contradictory relation between the two.In order to guarantee the secure communication of primary user, while improving time user
Cruising ability, the optimization aim of the present embodiment can be defined as：
Obj：
0 < α, β < 1
In formula, Weightfactor of the δ between safe capacity and efficiency of energy collection.User can change according to self-demand
Then the value of δ is turned up if user it is expected to obtain higher safe capacity value for the value of δ；If it is expected that higher energy efficiency,
Then 1- δ is turned up.
When judging that can time user's sending node meet message transmission demand, the present embodiment provides three kinds of judgment methods：
(1) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will carry out collection of energy, until
Meet demand.By the collection of energy of n time slot, the primary power of secondary user's sending node is updated to
(2) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will continue energy receipts
Collection, until meet demand.By the collection of energy of n time slot, the energy that secondary user's sending node is collected into is updated to
(3) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will continue
Collection of energy, until meet demand.By the collection of energy of n time slot, the gross energy of secondary user's sending node is updated to
By comparing experiment, influence of these three the available way of contrast to efficiency of energy collection.Note solves mesh
The weighted sum of primary user's safe capacity and time user's dump energy is S in marktradeoff.As shown in figure 5, given PR=4, x-axis table
Show collaboration communication factor ρ ∈ (0,1], y-axis indicate weighting factor δ ∈ (0,1], z-axis indicate solve target Stradeoff, can by figure
Know, the tradeoff of primary user's safe capacity and time user efficiency of energy collection be it is achievable, variation tendency is in " multimodal " shape.Figure
5 (a-c) respectively indicate judgment mode (1)-(3) to solution target StradeoffInfluence, note maximum value beIt can by figure
Know, it is available using judgment mode (1)It can be obtained using judgment mode (2)Using judgement
Mode (3) can obtainIt follows that fixed PRWhen, employing mode (1) can obtain bigger benefit.In addition,
When fixed ρ value, when employing mode (1) and (3) are judged, StradeoffThe linear increasing trend at ridge, elsewhere
Linear decrease.And when employing mode (2), StradeoffAlways inversely with δ.
As shown in fig. 6, given ρ=0.2, x-axis indicates time transmission power P of user's sending nodeR∈ [Isosorbide-5-Nitrae], y-axis indicate
Weighting factor δ ∈ (0,1], z-axis indicates to solve target Stradeoff.As seen from the figure, the trade-off problem that the present invention is studied is can be real
Existing, variation tendency is also in " multimodal " shape.Fig. 6 (a-c) respectively indicates influence of judgment mode (1)~(3) to target is solved,
It is wherein available using judgment mode (1)It can be obtained using judgment mode (2)Using sentencing
Disconnected mode (3) can obtainIt follows that as fixed ρ, the available bigger benefit of employing mode (2).This
Outside, when fixed ρ value, when employing mode (1) and (3) are judged, StradeoffThe linear increasing trend at ridge, on other ground
Square linear decrease.And when employing mode (2), StradeoffAlways inversely with δ.
By above step, the present invention is for primary user in cognitive radio network safe capacity and time user's energy efficiency
Trade-off problem classifying rationally is carried out to channel, primary user's sending node is made to realize peace in conjunction with collection of energy and collaboration communication
Full communication, secondary user's sending node can work for a long time.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (6)
1. the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency, the cooperative cognitive wireless network
It is connect including primary user's sending node S, primary user's receiving node D, one user's sending node R, one user
Receive a node O and listener-in E；It is characterized in that, the combined optimization method includes the following steps：
S1. the transmission rate of each node in cooperative cognitive radio net is calculated, and calculates time transmission of user's sending node
Power PRBound, calculate collection of energy factor ρ value range；
S2. the P being calculated from step S1RAnd m equally distributed P are taken out in the value range of ρRValue and n are uniformly distributed
ρ value；
S3. the P obtained based on step S2RValue and ρ value, are calculated all possible primary user's safe capacity using the method for exhaustion
RSECValue and secondary user's sending node dump energyValue, respectively be stored in two 1 × mn matrix in, between the two for
One-to-one relationship, i.e. a RSECIt is one corresponding
S4. weighting factor δ is given, all R in step S3 are calculatedSECWithWeighted sum, obtain weighted sum by comparing
StradeoffMaximum value.
2. the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency according to claim 1,
It is characterized in that, the transmission power P of time user's sending node described in step S1RBound be：
In formula, VROThe minimum transmission rate needed between secondary user's sending node R and secondary user's receiving node O, β are that cooperation is logical
Believe the factor, W is channel width, N0For single side power extension density, ∈ is time efficiency of energy collection of user's sending node R, hRO
The fading channel factor between R and O.
The value range of collection of energy factor ρ described in step S1 is expressed as：
In formula, Q is the data volume (unit bit) that primary user's sending node S is sent, VpFor the transmission function of primary user's sending node S
Rate, T are the unit time.
3. the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency according to claim 1,
It is characterized in that, the method for exhaustion described in step S3, using the double-deck circulation, execution method includes the following steps：
S31. i=1 is enabled, outer loop is executed, remembers that the transmission power of secondary user's sending node at this time is
S32. j=1 is enabled, internal circulation is executed, remembers that the collection of energy factor at this time is ρj；
S33. it substitutes intoAnd ρj, calculate primary user's safe capacity RSEC, it is stored in 1 × mn matrix；Time user is calculated to send
ENERGY E needed for node sends messageTXIf secondary user's sending node is unable to satisfy transmission demand, continue to collect energy, Zhi Daoman
Sufficient demand, then calculate time user's sending node dump energyObtained result is stored in the matrix of a 1 × mn；
S34. j=j+1 is enabled, step S33 is jumped to, circulation inside next round is executed, when j > n, jumps out internal circulation, hold
Row step S35；
S35. i=i+1 is enabled, step S32 is jumped to, executes next round outer loop, when i > m, outer loop is terminated.
4. the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency according to claim 3,
It is characterized in that, ENERGY E needed for time user's sending node transmission message described in step S33TXFor：
ETX=PR(1-ρ)T
ETXThe energy for carrying out collaboration communication including secondary user's sending node and sending own message to secondary user's receiving node disappears
Consumption, after message is sent, secondary user's sending node dump energyIt is updated to：
In formula,For secondary user's sending node time slot T primary power,Before the message for secondary user's sending node
Collected energy, by updated dump energyPrimary power as time slot T+1.
5. the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency according to claim 3,
It is characterized in that, the judgment method that whether secondary user's sending node dump energy meets transmission demand in step S33 includes：
(1) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will carry out collection of energy, Zhi Daoman
Sufficient demand；By the collection of energy of n time slot, the primary power of secondary user's sending node is updated to
T is time slot, and ∈ is the efficiency of energy collection of R；
(2) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will continue collection of energy, Zhi Daoman
Sufficient demand；By the collection of energy of n time slot, the energy that secondary user's sending node is collected into is updated to
T is time slot, and ∈ is the efficiency of energy collection of R；
(3) whenWhen, it is believed that it is unsatisfactory for transmission demand at this time, secondary user's sending node will continue energy
It collects, until meet demand；By the collection of energy of n time slot, the gross energy of secondary user's sending node is updated toT is time slot, and ∈ is the efficiency of energy collection of R.
6. the combined optimization method of cooperative cognitive radio net safe capacity and energy efficiency according to claim 1,
It is characterized in that, in step S4, weighted sum StradeoffFor：
In formula, weighting factor of the δ between safe capacity and efficiency of energy collection, 0 < δ < 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810662979.7A CN108901028B (en) | 2018-06-25 | 2018-06-25 | Cooperative cognitive radio network safety capacity and energy efficiency joint optimization method |
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