CN108650002A - A kind of two layers of cellular network down collaboration transmission method with closed solutions - Google Patents
A kind of two layers of cellular network down collaboration transmission method with closed solutions Download PDFInfo
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- CN108650002A CN108650002A CN201810491129.5A CN201810491129A CN108650002A CN 108650002 A CN108650002 A CN 108650002A CN 201810491129 A CN201810491129 A CN 201810491129A CN 108650002 A CN108650002 A CN 108650002A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/022—Site diversity; Macro-diversity
- H04B7/024—Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0426—Power distribution
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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
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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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
- H04W16/22—Traffic simulation tools or models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The present invention discloses a kind of two layers of cellular network down collaboration transmission method with closed solutions altogether, includes the following steps：In the large scale scale heterogeneous cellular network being made of macro base station and millimicro base station, geometrical model is built to the deployment of base station；Using cooperation thresholding, user is divided into the millimicro user of the user of cooperation transmission mode, the macro user of non-cooperating transmission mode and non-cooperating transmission mode by the maximum power received from macro base station and millimicro base station according to each user in heterogeneous network；Current statistic channel state information during based on scheduling interval（CSI）, the downlink based on QoS is used for each subband（DL）Transmission power control mechanism carries out power consumption modeling to user；According to the power consumption of each user, the power spectrum that cross-layer cooperation is carried out to extensive two layers of isomery cellular network imitates analysis, derives the closed solutions of the energy frequency spectrum efficiency under the network.
Description
Technical field
The present invention relates to wireless communication technology field more particularly to a kind of two layers of cellular network downlink associations with closed solutions
Make transmission method.
Background technology
Small cell network is one of the key technology of the 5th Generation Mobile Communication System (5G), passes through the covering model in macro base station
Enclose interior deployment a large amount of micro-base stations, such as micro- base station (micro), the base station millimicro (pico), Home eNodeB (femto) etc., Neng Gouyou
Covering of the effect ground enhancing to hot zones, improves the handling capacity of entire cellular network.But the case where multiple network layers are disposed with frequency
Under, there are cross-layer interference, this can make the energy efficiency of network reduce.Cooperative multi-point (COMP) transmission passes through joint transmission user
Data, it is enough that interference is converted into desired signal, it is the effective way for eliminating inter-cell interference.
However in order to realize that COMP is transmitted, the information exchange between base station is essential.COMP relies on backhaul link
Channel state information (CSI) is exchanged, this, which means that COMP transmission being introduced into heterogeneous network, will also increase resources costs.
In today that energy shortage and environmental quality increasingly decline, the problem of energy consumption problem of heterogeneous network becomes one and can not ignore,
How collaboration user is effectively selected so that the efficiency of network-spectrum effect (ESE) reaches maximum, is a problem for being worth research.
Existing down collaboration transmission strategy, most of is to be directed to monolayer honeycomb network, to heterogeneous network, is cooperated mostly logical
Precoding realization is crossed, is cooperated using between macro base station, also co-operating method between micro-base station.But it does so and brings
Problem is：When some user distance millimicro base station is close, receive the power from millimicro base station it is complete can meet its speed
Rate requirement, at this moment, if using cooperate come for the user service, can increase using backhaul network exchanging user data at
This, especially in the case where backhaul link capacity is limited.In addition to this, complicated coordination mechanism also substantially increases precoding
The complexity of matrix.In addition, designing pre-coding matrix just for limited cell and limited user, to extensive dense cellular
For network and it is not suitable for.
In conclusion problem of the existing technology is：Do not use cooperation mode that can make the energy of network in heterogeneous network
Amount-spectrum efficiency is very low, cooperates if realized using precoding, is that same layer and cross-layer cooperation are carried out at the same time mostly, needs in this way
A large amount of backhaul link exchanges channel state information, and in addition complicated coordination mechanism also can make computation complexity very big.In addition,
There is presently no the researchs for extensive intensive co-operative cellular network power spectrum effect.
Therefore, it is necessary to a kind of methods with universality and low complex degree, will in the case where backhaul link capacity is limited
Cooperation is introduced into two layers of cellular mass network being made of macrocellular-millimicro honeycomb to improve energy-spectrum efficiency of network.
Invention content
The purpose of the present invention is to solve existing heterogeneous network downlink transfer energy efficiency is low, coordination mechanism it is complicated and
The problem of without universality, provides a kind of two layers of cellular network down collaboration transmission method with closed solutions.
To achieve the above object, the present invention provides the following technical solutions：
A kind of two layers of cellular network down collaboration transmission method with closed solutions, includes the following steps：
(1) several to the deployment structure of base station in the large scale scale heterogeneous cellular network being made of macro base station and millimicro base station
What model.
Base station in i-th layer is according to density λiIt is modeled as Two Dimensional Uniform PPP distributions.User modeling is that intensity is λuIt is uniform
PPP is distributed, and λuWith λiCompared to sufficiently high so that each base station at least services a user.Assuming that being mutual between millimicro base station
Isolated, i.e., it does not interfere with from each other.Then during transmission intercal, by particular channel macro base station and (or) millimicro base station
The user of service will undergo the interference from other macro base stations.Assuming that the different user in cell is provided using orthogonal time-frequency
Source (such as OFDMA) services, and will be not present intra-cell interference.Different macro base stations and millimicro base station can use identical letter
Road (i.e. cochannel is disposed).
(2) it using cooperation thresholding, is received most from macro base station and millimicro base station according to each user in heterogeneous network
It is high-power that user is divided into the user of cooperation transmission mode, the macro user of non-cooperating transmission mode and non-cooperating transmission mould
The millimicro user of formula.
B is defined as to serve the collection of base stations of user, then the serving BS set of certain user can be as given a definition：
Wherein, ω and β is cooperation thresholding, ω ∈ [0,1], β ∈ (1 ,+∞).r1And r2It is the user respectively to nearest macro
The distance of base station and millimicro base station, BmAnd bmIt is the macro base station and millimicro base station nearest apart from the user, p respectively1maxAnd p2maxPoint
It is not the maximum transmission power of macro base station and millimicro base station, α is path loss index, α ＞ 2.
(3) based on scheduling interval during current statistic channel state information (CSI), for each subband using being based on
Downlink (DL) transmission power control mechanism of QoS carries out power consumption modeling to user.
It will be with subband Bm,jAssociated j-th of non-CoMP macro UE um,jDistribute the transmission power of appropriate amount
To meet its rate requirement：
Wherein,Represent the macro user u of j-th of non-cooperating in m-th of cellm,jWhat is received comes
From the power of macro base station,Indicate the large scale path loss from macro base station to the user,It indicates from macro base station to the user
Fast fading channel gain.
Interference under worst case is given by：
Wherein,It is to come from subband Bm,jIn every other base station interference, P1maxIt is the maximum of macro base station
Transmission power, NmIt is the number of users in m-th of cell.
To k-th of non-CoMP pico UE um,k：
Wherein,Represent k-th of non-cooperating millimicro user u in m-th of cellm,kIt receives
The power from millimicro base station arrived,Indicate the large scale path loss from millimicro base station to the user,It indicates from milli
Fast fading channel gain of the micro-base station to the user.
Interference under worst case is given by：
Wherein, whereinIt is to come from subband Bm,kIn every other base station interference.
For first of CoMP user um,lFor：
Wherein,Represent first of collaboration user in m-th of cell
um,lThe power from macro base station received,Represent first of macro user u of cooperation in m-th of cellm,lWhat is received comes from
The power of millimicro base station.WithIt is indicated respectively from macro base station and millimicro base station to the large scale path loss of the user,
WithIt is indicated respectively from macro base station and millimicro base station to the fast fading channel gain of the user.
Interference under worst case is given by：
Wherein,It is to come from subband Bm,lIn every other base station interference.
(4) according to the power consumption of each user, the power spectrum that cross-layer cooperation is carried out to extensive two layers of isomery cellular network is imitated
Analysis, derives the closed solutions of energy-spectrum efficiency under the network, by macro base station density, millimicro base station density, mobile service
Intensity and two cooperation thresholdings are as unknown parameter to be solved.
It is being λ with macro base station density1, millimicro base station density is λ2Extensive CoMP cellular networks in, mobile service intensity
For λu, for the service speed R of demandm,j, by macro base station BmTo non-CoMP macro UE um,jAverage down transmitting power be：
By millimicro base station bmTo non-CoMP pico UE um,kAverage down transmitting power be defined as：
By macro base station BmTo CoMP UE um,lAverage down transmitting power be defined as：
Wherein,
In special circumstances, work as α1=α2When=α, certain user is the macro user of non-cooperating, and non-cooperating millimicro user and cooperation are used
The probability at family is respectively：
qC=1-qM-qP (18)
In cell Vm, the average down transmitting power of sole user for being R for rate requirement is：
Assuming that all no-CoMP UEs and CoMP UEs rate R having the same.
For the service speed R of demand, cell VmIn down transmitting power be：
The power consumption and handling capacity of the network can be expressed as：
Power=ε λ1E[Pcell]+λ1Pc+λ2Pb (21)
Throughput=R λu (22)
Wherein, PcAnd PbThe base-band processing power of circuit power and cooperation transmission complexity is respectively represented, ε is coefficient of power amplifier.
According to formula (8) and above analysis, the closed solutions of ESE can be obtained.
Compared with prior art, the present invention proposes a kind of two layers of cellular network down collaboration transmission side with closed solutions
Method, this method have derived the power spectrum in two layers of large scale scale heterogeneous COMP network according to the division to user's transmission mode in network
The closed solutions of effect, the influence imitated to network power spectrum for quantitative analysis macro base station density, millimicro base station density and cooperation thresholding carry
General computational methods are supplied.
Compared with prior art, the beneficial effects of the invention are as follows：
A kind of two layers of cellular network down collaboration transmission method with closed solutions is provided, same layer is solved and cross-layer is same
The problem that backhaul link consumption is more in the network of Shi Jinhang cooperations and complexity is high.
Advantages of the present invention and good effect are：Under equal conditions, it is proposed that method relative to traditional no association
Make heterogeneous network and is respectively increased 24.8% in power spectrum efficacious prescriptions face, the cooperation part being carried out at the same time relative to same layer and cross-layer cooperation
Method, reduces (n2-n)/2 return link, and n represents the quantity of millimicro base station.
Description of the drawings
Fig. 1 provides a kind of process chart of two layers of cellular network down collaboration transmission method with closed solutions for the present invention；
Fig. 2 is the base station location random placement figure in simulating scenes provided in an embodiment of the present invention；
Fig. 3 is the cellular network cross-layer cooperation schematic diagram of the present invention；
Fig. 4 is theoretical curve schematic diagram of the frequency spectrum-energy efficiency provided in an embodiment of the present invention with cooperation threshold variation；
Fig. 5 is simulation curve schematic diagram of the frequency spectrum-energy efficiency provided in an embodiment of the present invention with cooperation threshold variation；
Fig. 6 is the energy-spectrum efficiency schematic diagram for not using collaboration method in two layers of cellular network provided by the invention.
Specific implementation mode
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 describes, 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.
Referring to Fig. 1, in the embodiment of the present invention, a kind of mobile Ad-Hoc algorithm network routings based on Fermat point, including
Following steps：
(1) several to the deployment structure of base station in the large scale scale heterogeneous cellular network being made of macro base station and millimicro base station
What model.
Macro base station in 1st layer is according to density λ1=2BS/km2It is modeled as Two Dimensional Uniform PPP distributions, the millimicro in the 2nd layer
Base station is according to density λ2=7BS/km2It is modeled as Two Dimensional Uniform PPP distributions.User modeling is that intensity is λu=500users/km2
Uniform PPP distribution.Assuming that being mutually isolated between millimicro base station, i.e., do not interfere with from each other.Then in the transmission intercal phase
Between, the interference from other macro base stations will be undergone by the user of macro base station and (or) the service of millimicro base station in particular channel.It is false
If the different user in cell is serviced using orthogonal time-frequency resource (such as OFDMA), it will be not present intra-cell interference.
Different macro base stations and millimicro base station can use identical channel (i.e. cochannel is disposed).
(2) it using cooperation thresholding, is received most from macro base station and millimicro base station according to each user in heterogeneous network
It is high-power that user is divided into the user of cooperation transmission mode, the macro user of non-cooperating transmission mode and non-cooperating transmission mould
The millimicro user of formula.
ψ is defined as to serve the collection of base stations of user, then the serving BS set of certain user can be as follows in the region
Definition：
Wherein, ω and β is cooperation thresholding, ω ∈ [0,1], β ∈ (1 ,+∞).r1And r2It is the user respectively to nearest macro
The distance of base station and millimicro base station, BmAnd bmIt is the macro base station and millimicro base station nearest apart from the user, p respectively1max=40w and
p2max=1w is the maximum transmission power of macro base station and millimicro base station respectively, and α is path loss index, α1=α2=4.
(3) based on scheduling interval during current statistic channel state information (CSI), for each subband using being based on
Downlink (DL) transmission power control mechanism of QoS carries out power consumption modeling to each user.
(4) according to the power consumption of each user, the power spectrum that cross-layer cooperation is carried out to extensive two layers of isomery cellular network is imitated
Analysis, derives the closed solutions of energy-spectrum efficiency under the network, by macro base station density, millimicro base station density, mobile service
Intensity and two cooperation thresholdings are as unknown parameter to be solved.
Embodiment 1：
It is being λ with macro base station density1=2BS/km2, millimicro base station density is λ2=7BS/km2Extensive CoMP bees
In nest network, mobile service intensity is λu=500users/km2, for the service speed R=0.2Mbits/s of demand, by macro base
Stand BmTo non-CoMP macro UE um,jAverage down transmitting power be：
By millimicro base station bmTo non-CoMP pico UE um,kAverage down transmitting power be defined as：
By macro base station BmTo CoMP UE um,lAverage down transmitting power be defined as：
Wherein,
Certain user is the macro user of non-cooperating, and the probability of non-cooperating millimicro user and collaboration user is respectively：
qC=1-qM-qP (18)
In cell Vm, the average down transmitting power of sole user for being R=0.2Mbits/s for rate requirement is：
For the service speed R of demand, cell VmIn down transmitting power be：
Wherein, K is constant, K=3.75.
The power consumption and handling capacity of the network can be expressed as：
Power=ε λ1E[Pcell]+λ1Pc+λ2Pb (21)
Throughput=R λu (22)
Wherein, pc=40, pb=1, ε=1.2.
We can obtain the closed solutions of ESE.
Embodiment 2：
Embodiment establishes heterogeneous network model according to the present invention, carries out system emulation, it is assumed that macro base station and millimicro base station with
Machine is distributed in (1 × 1) km2Region in, the number of macro base station is 2, and the number of millimicro base station is 7, number of users 500
Random distribution is in the area.Simulation parameter is as shown in table 1：
1 simulation parameter of table is arranged
According to the simulating scenes and simulation parameter of setting, by obtaining experimental result such as Fig. 3 institutes after Matlab software emulations
Show, energy-spectrum efficiency is effectively promoted.
In Fig. 4 it can be seen that the optimum point (ω of existence anduniquess*,β*)=(0.99,2) keep the ESE of network maximum.It is theoretical
The accuracy of derivation is verified in Fig. 4, because theoretical value can be coincide well with simulation result.In addition, ηESE(ω,β；
λ1,λ2,λu, R) and with β first increases and then decreases, it is not infinitely to increase with the increase ESE of β.This demonstrates noted earlier
When the peak signal power that user receives from serving BS is sufficiently higher than the maximum power received from interference source, serving BS
Cooperation between the interference base station is not required, and can consume more resources because of cooperation instead.
Fig. 5 is the ESE of no-CoMP situation lower networks.It can be seen that in λ1=2BS/km2, λ2=7BS/km2When, the feelings
Network ESE under condition is respectively 0.0157 (bit/Hz/Joule).It is proposed that method be 0.0196 (bit/Hz/Joule).
Relative to traditional heterogeneous network without collaboration method, as shown in fig. 6, improving 24.8% in terms of ESE.
In addition, when cooperation is carried out at the same time between same layer and different layers, it is assumed that have n in the overlay area of each macrocellular
A random millimicro honeycomb.So to realize that the data exchange of macro base station and millimicro base station needs n backhaul link, it is real
Data exchange between existing millimicro base station, needs n (n-1)/2 backhaul link, i.e., needs (n2+n)/2 backhaul link in total.
And in the present invention, it is only necessary to which n backhaul link can realize the information exchange between macro base station and millimicro base station, significantly save
The quantity for having saved backhaul link improves the ESE of network to reduce the energy consumption of network.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiment being appreciated that.
Claims (1)
1. a kind of two layers of cellular network down collaboration transmission method with closed solutions, which is characterized in that include the following steps：
(1) in the large scale scale heterogeneous cellular network being made of macro base station and millimicro base station, geometry mould is built to the deployment of base station
Type.Base station in i-th layer is according to density λiIt is modeled as Two Dimensional Uniform PPP distributions.User modeling is that intensity is λuUniform PPP point
Cloth, and λuWith λiCompared to sufficiently high so that each base station at least services a user.Assuming that being mutually isolated between millimicro base station
, i.e., it does not interfere with from each other.Then during transmission intercal, by particular channel macro base station and (or) millimicro base station service
User will undergo the interference from other macro base stations.Assuming that the different user in cell uses orthogonal time-frequency resource (example
Such as OFDMA) it services, it will be not present intra-cell interference.Different macro base stations and millimicro base station can use identical channel (i.e.
Cochannel is disposed)；
(2) using cooperation thresholding, the maximum work received from macro base station and millimicro base station according to each user in heterogeneous network
User is divided into the user of cooperation transmission mode, the macro user of non-cooperating transmission mode and non-cooperating transmission mode by rate
Millimicro user.
B is defined as to serve the collection of base stations of user, then the serving BS set of certain user can be as given a definition：
Wherein, ω and β is cooperation thresholding, ω ∈ [0,1], β ∈ (1 ,+∞).r1And r2It is the user respectively to nearest macro base station
With the distance of millimicro base station, BmAnd bmIt is the macro base station and millimicro base station nearest apart from the user, p respectively1maxAnd p2maxIt is respectively
The maximum transmission power of macro base station and millimicro base station, α are path loss index, α ＞ 2.
(3) based on scheduling interval during current statistic channel state information (CSI), for each subband use be based on QoS
Downlink (DL) transmission power control mechanism, to user carry out power consumption modeling.
It will be with subband Bm,jAssociated j-th of non-CoMP macro UE um,jDistribute the transmission power of appropriate amountWith full
Its rate requirement of foot：
Wherein, Represent the macro user u of j-th of non-cooperating in m-th of cellm,jWhat is received comes from macro base
The power stood,Indicate the large scale path loss from macro base station to the user,Indicate declining soon from macro base station to the user
Fall channel gain.
Interference under worst case is given by：
Wherein,It is to come from subband Bm,jIn every other base station interference, P1maxIt is the emission maximum of macro base station
Power, NmIt is the number of users in m-th of cell.
To k-th of non-CoMP pico UE um, k：
Wherein, Represent k-th of non-cooperating millimicro user u in m-th of cellm,kWhat is received comes
Power from millimicro base station,Indicate the large scale path loss from millimicro base station to the user,It indicates from millimicro base station
To the fast fading channel gain of the user.
Interference under worst case is given by：
Wherein, whereinIt is to come from subband Bm,kIn every other base station interference.
For first of CoMP user um,lFor：
Wherein, Represent first of collaboration user u in m-th of cellm,lIt connects
The power from macro base station received,Represent first of macro user u of cooperation in m-th of cellm,lWhat is received comes from millimicro
The power of base station.WithIt is indicated respectively from macro base station and millimicro base station to the large scale path loss of the user,With
It is indicated respectively from macro base station and millimicro base station to the fast fading channel gain of the user.
Interference under worst case is given by：
Wherein,It is to come from subband Bm,lIn every other base station interference.
(4) according to the power consumption of each user, the power spectrum that cross-layer cooperation is carried out to extensive two layers of isomery cellular network imitates analysis,
The closed solutions for deriving energy-spectrum efficiency under the network, by macro base station density, millimicro base station density, mobile service intensity
With two cooperation thresholdings as unknown parameter to be solved.
It is being λ with macro base station density1, millimicro base station density is λ2Extensive CoMP cellular networks in, mobile service intensity is
λu, for the service speed R of demandm,j, by macro base station BmTo non-CoMP macro UE um,jAverage down transmitting power
For：
By millimicro base station bmTo non-CoMP pico UE um,kAverage down transmitting power be defined as：
By macro base station BmTo CoMP UE um,lAverage down transmitting power be defined as：
Wherein,
In special circumstances, work as α1=α2When=α, certain user is the macro user of non-cooperating, non-cooperating millimicro user and collaboration user
Probability is respectively：
qC=1-qM-qP (18)
In cell Vm, the average down transmitting power of sole user for being R for rate requirement is：
Assuming that all no-CoMP UEs and CoMP UEs rate R having the same.
For the service speed R of demand, cell VmIn down transmitting power be：
The power consumption and handling capacity of the network can be expressed as：
Power=ε λ1E[Pcell]+λ1Pc+λ2Pb (21)
Throughput=R λu(22)
Wherein, PcAnd PbThe base-band processing power of circuit power and cooperation transmission complexity is respectively represented, ε is coefficient of power amplifier.
According to formula (8) and above analysis, the closed solutions of ESE can be obtained.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109905883A (en) * | 2019-03-29 | 2019-06-18 | 福建师范大学 | A kind of method and terminal being connected to wireless sensor network |
| CN113438014A (en) * | 2021-07-05 | 2021-09-24 | 重庆邮电大学 | Low-energy-consumption routing method based on inter-satellite communication |
| CN117255412A (en) * | 2023-10-18 | 2023-12-19 | 华中科技大学 | AP power distribution method and system based on sensing communication fusion and application thereof |
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| CN113438014A (en) * | 2021-07-05 | 2021-09-24 | 重庆邮电大学 | Low-energy-consumption routing method based on inter-satellite communication |
| CN113438014B (en) * | 2021-07-05 | 2022-04-22 | 重庆邮电大学 | Low-energy-consumption routing method based on inter-satellite communication |
| CN117255412A (en) * | 2023-10-18 | 2023-12-19 | 华中科技大学 | AP power distribution method and system based on sensing communication fusion and application thereof |
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