CN112087791A - Optimal power distribution method and system - Google Patents

Optimal power distribution method and system Download PDF

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CN112087791A
CN112087791A CN202010838294.0A CN202010838294A CN112087791A CN 112087791 A CN112087791 A CN 112087791A CN 202010838294 A CN202010838294 A CN 202010838294A CN 112087791 A CN112087791 A CN 112087791A
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power distribution
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宋体飞
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Nanjing Nise Electronic Technology Co ltd
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    • HELECTRICITY
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    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/241TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
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    • H04L5/14Two-way operation using the same type of signal, i.e. duplex
    • H04L5/1469Two-way operation using the same type of signal, i.e. duplex using time-sharing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
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    • H04ELECTRIC COMMUNICATION TECHNIQUE
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    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
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    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
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Abstract

The invention relates to an optimal power distribution method and a system, wherein the method comprises the steps of firstly, establishing a multi-user TWR-AF cooperation time division duplex system which operates in a half-duplex mode, and respectively analyzing an accumulative probability density function of a signal and interference plus noise ratio processed by a base station and a selected mobile station under the conditions of channel estimation error and outdated channel state information by mainly considering the multi-user TWR-AF cooperation time division duplex system with adaptive modulation. Then, an accurate approximate form of the average spectrum efficiency and the interruption probability is obtained, and the progressive performance of the self-adaptive system is further provided. And finally, based on the criterion of maximizing the approximate average throughput, an optimal power distribution scheme is provided, and the influence of channel estimation errors and outdated channel state information is reduced. Numerical results show that the power distribution scheme provided by the invention is superior to the common power distribution scheme.

Description

Optimal power distribution method and system
Technical Field
The invention relates to an optimal power distribution method and system, and belongs to the technical field of communication.
Background
In modern wireless communication networks, higher throughput is increasingly required while ensuring the required quality of service. Adaptive bi-directional relaying is a promising technique to meet such demands because it can overcome the spectral efficiency loss due to half-duplex transmission and adaptively select modulation and coding levels according to time-varying channel conditions.
In the signal transmission process, no matter what kind of transmission is, the source end needs to perform self-interference elimination on the received signal to obtain the signal of the opposite side, but in an actual communication system, the influence of channel estimation errors and outdated channel state information on the performance of a multi-user TWR-AF system with adaptive modulation is not solved.
Disclosure of Invention
The purpose of the invention is as follows: the method and the system for reducing the influence of the system performance caused by the channel estimation error are provided to solve the problems in the prior art, and the further aim is to provide a criterion based on the maximized approximate average throughput, provide an optimal power distribution scheme and reduce the influence of the channel estimation error and the outdated channel state information.
The technical scheme is as follows: an optimal power distribution method and system, wherein the optimal power distribution method comprises the following steps:
step one, establishing a multi-user TWR-AF cooperation time division duplex system which runs in a half-duplex mode, wherein the system consists of a base station, a fixed amplification forwarding relay node and a plurality of mobile stations;
all terminals are equipped with a single antenna, and information is transmitted and interacted between a base station BS and a mobile station MS through a fixed amplifying forwarding relay node R in a half-duplex mode, wherein the information interaction consists of two stages which are respectively a multi-user selection stage and a data interaction stage, and the data interaction stage is divided into two time slots.
Respectively analyzing the changes generated in the multi-user selection stage and the data interaction stage, judging and finding the system performance by means of the average spectrum efficiency and the interruption probability of the multi-user TWR-AF system modulated by the self-adaptive discrete rate through the presentation of the cumulative probability density function and the probability density function, and reducing the influence of the system performance by utilizing an optimal power distribution technology based on channel statistical information;
in the multi-user selection stage, the relay R uses an estimator to estimate a channel between the relay R and the mobile station MS according to a pilot signal received from the mobile station MS, then the relay R selects a mobile station according to the estimated channel and a multi-user scheduling standard, the mobile station and a base station carry out information interaction, the relay R broadcasts a scheduling instruction to inform the selected mobile station to prepare for data transmission, and other unselected mobile stations keep a silent state;
in the data interaction stage, the communication between the base station and the mobile station is specified in two time slots, in the time slot 1, the base station and the mobile station respectively transmit pilot signals and data to the relay station, and the relay station R estimates channels of a BS-R link and an R-MS link according to the received signals; in the time slot 2, the received signal on the relay station is amplified by a gain G and then forwarded to the base station and the selected mobile station through an error-free feedback channel;
BS and MSkIs dependent on the link R-MSkChannel gain increases, which stimulates R to select the MS with the largest estimated channel gain to the largest sum capacity; MS (Mass Spectrometry)kA time delay is required to know that it is selected to exchange messages with the BS; by using inequality, C can be maximizedp012) To obtain the best power allocation, i.e. the optimal problem can be expressed as:
Figure BDA0002640487910000021
s.t.γ012=γtot
wherein
Figure BDA0002640487910000022
Relative to gamma012Is/are as follows
Figure BDA0002640487910000023
The second derivative of (a) is positive and thus it is a concave function, and by applying the KKT condition, we can obtain the best through some mathematical operations,
Figure BDA0002640487910000024
and step three, broadcasting and transmitting the processed signals.
An optimal power distribution method and system, wherein an optimal power distribution system comprises:
the first module is used for establishing a multi-user TWR-AF cooperation time division duplex system which runs in a half-duplex mode and consists of a base station, a fixed amplification forwarding relay node and a plurality of mobile stations;
a second module, which analyzes the changes generated in the multi-user selection stage and the data interaction stage, judges and discovers the system performance by the average spectrum efficiency and the interruption probability of the multi-user TWR-AF system modulated by the self-adaptive discrete rate through the presentation of the cumulative probability density function and the probability density function, and reduces the influence of the system performance by utilizing the optimal power distribution technology based on the channel statistical information;
and the third module is used for broadcasting and transmitting the processed signals.
Has the advantages that: the present invention analyzes the cumulative probability density function of the signal to interference plus noise ratio of the base station and the selected mobile station processing under the channel estimation error and the outdated channel state information, respectively, mainly by considering the multi-user TWR-AF system with adaptive modulation. Then, an exact approximation of the average spectral efficiency and outage probability is derived. The progressive performance of the adaptive system is further proposed. And finally, based on the criterion of maximizing the approximate average throughput, an optimal power distribution scheme is provided, and the influence of channel estimation errors and outdated channel state information is reduced. Numerical results show that our proposed power allocation scheme is superior to the common power allocation scheme.
Drawings
FIG. 1 is a diagram of a two-stage system model of a multiuser TWR-AF system according to the present invention.
Figure 2 is an ASE plot of a multi-user TWR-AF system under CEE and outdated CSI.
FIG. 3 is a graph of the OP variation of a multiuser TWR-AF system.
FIG. 4 is a graph of ASE of a multi-user TWR-AF system versus the number of MSs with best PA and unified PA.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in order to avoid obscuring the invention.
The invention relates to an optimal power distribution method, which comprises the following steps:
step one, establishing a multi-user TWR-AF cooperation time division duplex system which runs in a half-duplex mode, wherein the system consists of a base station, a fixed amplification forwarding relay node and a plurality of mobile stations.
As shown in fig. 1, all terminals are equipped with a single antenna, and perform information transmission and interaction between a base station BS and a mobile station MS in a half-duplex mode through a fixed amplify-and-forward relay node R, where the information interaction consists of two phases, which are a multi-user selection phase and a data interaction phase.
Respectively analyzing the changes generated in the multi-user selection stage and the data interaction stage, judging and finding the system performance by means of the average spectrum efficiency and the interruption probability of the multi-user TWR-AF system modulated by the self-adaptive discrete rate through the presentation of the cumulative probability density function and the probability density function, and reducing the influence of the system performance by utilizing an optimal power distribution technology based on channel statistical information;
wherein, in the multi-user selection phase, the relay R uses an estimator, and the channel between the relay R and the mobile station MS is
Figure BDA0002640487910000031
Estimating a channel between a relay R and a mobile station MS from a pilot signal received from the mobile station MS
Figure BDA0002640487910000032
The relay R then estimates the channel based on the estimated channelAnd selecting one mobile station according to the multi-user scheduling standard, performing information interaction between the mobile station and the base station, broadcasting a scheduling instruction by the relay R to inform the selected mobile station to prepare for data transmission, and keeping the other unselected mobile stations in a silent state.
In the data interaction phase, the communication between the base station and the mobile station is specified in two time slots, in the time slot 1, the base station and the mobile station respectively transmit pilot signals and data to the relay station, and the relay station R estimates channels of a BS-R link and an R-MS link according to the received signals. In time slot 2, the received signal at the relay station is amplified by gain G and then forwarded to the base station and selected mobile stations via an error-free feedback channel. Wherein
Figure BDA0002640487910000041
Are respectively as
Figure BDA0002640487910000042
Is estimated as having
Figure BDA0002640487910000043
Wherein
Figure BDA0002640487910000044
Is h1And
Figure BDA0002640487910000045
relative parameter between u1Is a variance of
Figure BDA0002640487910000046
A gaussian error with a mean of 0;
Figure BDA0002640487910000047
is h2,kAnd
Figure BDA0002640487910000048
related parameter of (u)2,kIs a variance of
Figure BDA0002640487910000049
Zero mean unit gauss ofAnd (4) error. x is the number of1And x2,kIndicating passing through BS and MSkDuring the transmitted data, the signals received by the relay are:
Figure BDA00026404879100000410
wherein P is1And P2Is BS and MSkThe transmit power of. n is0~CN(0,N0) Is additive white gaussian noise at the relay. In the second slot, the received signal at the relay station is amplified by a gain G and then broadcast. BS and MSkThe received signals of (A) are respectively represented as
Figure BDA00026404879100000411
Figure BDA00026404879100000412
Wherein n is1~CN(0,N0) And n2~CN(0,N0) Respectively BS and MSkAWGN of (a). Amplification factor
Figure BDA00026404879100000413
Wherein P is0Is the transmitted power of the relay. Ex(. cndot.) indicates the expectation for a random variable in parentheses as x. According to the formula initially presented,
Figure BDA00026404879100000414
and
Figure BDA00026404879100000415
finally, the cancellation of the self-interference signal is performed at the base station and the selected mobile station, respectively, as follows:
Figure BDA00026404879100000416
Figure BDA00026404879100000417
when in use
Figure BDA00026404879100000418
Respectively relay, BS and MSkThe average SNR of the received signal is,
Figure BDA00026404879100000419
and
Figure BDA00026404879100000420
is with links BS-R and R-MSkIn the case of relative channel gain, the BS and the MS are obtained by the calculation of the mathematical expressionkThe post-processing SINR of (SINR) is:
Figure BDA00026404879100000421
and
Figure BDA0002640487910000051
wherein the content of the first and second substances,
Figure BDA0002640487910000052
Figure BDA0002640487910000053
Figure BDA0002640487910000054
Figure BDA0002640487910000055
from the above calculations, it can be seen that the BS and the MSkEnd-to-end SINR of with g2,kIncreases, this stimulates R to select the MS with the largest estimated channel gain to the largest sum capacity. MS (Mass Spectrometry)kA time delay is required to know that it is being usedMessages are selected for exchange with the BS. Linking R-MS during data interaction phasekHas changed, and therefore, performs the MUS based on the outdated estimated channel, this stage, link R-MSkOf an outdated estimated channel
Figure BDA0002640487910000056
Estimated channel of sum link R-MSk
Figure BDA0002640487910000057
Has the following relationship:
Figure BDA0002640487910000058
where ρ is the channel dependent coefficient and v is the variance λ2Is a 0 gauss random variable, the selected mobile station should satisfy
Figure BDA0002640487910000059
Wherein
Figure BDA00026404879100000510
Order to
Figure BDA00026404879100000511
g2=g2,kWill be
Figure BDA00026404879100000512
Is set as a probability density function of
Figure BDA00026404879100000513
The conditional probability density function can be expressed as:
Figure BDA00026404879100000514
wherein I0(x) Is a modified Bessel function of the first kind, g2The PDF of (A) is calculated as:
Figure BDA00026404879100000515
can see fg2(x) Is influenced by the number of mobile stations and p is ultimately also a factor that influences the average spectral efficiency and the probability of interruption.
The BER for coherent M-QAM modulation using gray mapping in AWGN channel can be roughly expressed as:
Figure BDA00026404879100000516
where M is 4 or more, set equal to the target BER,
Figure BDA00026404879100000517
to determine a reception SNR region using the M-QAM modulation method and the BS and MS. We denote the nth region asn,n+1. Since the BS and MS can select their modulation methods, respectively, the ASE of the multiuser TWR-AF system can be expressed as follows:
Figure BDA0002640487910000061
wherein Pr (n, gamma)j) Is the probability of falling into the nth region, can be represented by γjThe CDF of (1). Gamma rayjCDF of (A) is denoted as Fj(x) Is calculated as follows
Figure BDA0002640487910000062
Wherein g is1Has the advantages of
Figure BDA0002640487910000063
The CDF of (a) may be further expressed as:
Figure BDA0002640487910000064
further comprises the following steps:
Figure BDA0002640487910000065
wherein
Figure BDA0002640487910000066
Kv(. cndot.) is a second v-order modified Bessel function.
The partition by inequality can be used to conclude that when either the end-to-end SINR of the base station or the mobile station falls to1When the following, the nodes stop exchanging messages to reach the target BER, so we can obtain the lower bound OP of the system as follows:
Figure BDA0002640487910000067
further comprises the following steps:
Figure BDA0002640487910000068
wherein
Figure BDA0002640487910000069
The lower bound of the outage probability in the equation is close to the exact value over the entire SNR range. When rho1=ρ2=ρ0,γ1=αγ0,γ2=βγ0In order to provide more insight, how CEE and outdated CSI will affect the performance of a multi-user TWR-AF system, the expression is extended to obtain ASE C at high signal-to-noise ratioasyAnd OP PasyIs represented as follows:
Figure BDA00026404879100000610
Figure BDA0002640487910000071
when no CEE is present, i.e.Say rho 01, one can obtain:
Figure BDA0002640487910000072
when CEE is present, we can obtain
Figure BDA0002640487910000073
In the presence of CEE and outdated CSI, the diversity order is zero, because the system is limited by interference and self-interference cannot be completely eliminated in the presence of CEE, which means that an erroneous basis occurs at high SNR when CSI is imperfect. The same holds for asymptotic values, where in the absence of CEE the ASE decreases with decreasing ρ, and where in the presence of CEE the ASE is arbitrarily chosen for ρ.
By using inequality, C can be maximizedp012) To obtain the best power allocation, i.e. the optimal problem can be expressed as:
Figure BDA0002640487910000074
s.t.γ012=γtot
relative to gamma012Is/are as follows
Figure BDA0002640487910000075
The second derivative of (a) is positive and thus it is a concave function, and by applying the KKT condition, we can obtain the best through some mathematical operations,
Figure BDA0002640487910000076
step three, broadcasting and transmitting the processed signals
Monte Carlo (MC) simulation was used to illustrate CEE and outdated CSI versus multiuser TWR-AF systems with ADR modulationAnd the influence of ASE and OP, and the realizability of the invention is verified. Furthermore, we consider the maximum constellation size MNIs 216Object of
Figure BDA0002640487910000077
And ρ1=ρ2=ρ0
ASE of multiuser TWR-AF systems under CEE and expired CSI with average SNR set at γ as shown in FIG. 20. It can be seen that our analysis results are very consistent with the MC simulation results and that ASE is greatly reduced compared to the case without CEE and that the lower capacity limit occurs when CEE is present. This is because the system is interference limited and γ1,γ2The SNR region in which the maximum constellation modulation size is selected cannot be obtained. We can also see that outdated CSI exacerbates ASE performance degradation. However, CEE has a greater impact on degrading system performance.
Figure 3 illustrates the outage probability of a multiuser TWR-AF system. The result shows that the lower analysis bound of the interruption probability is basically consistent with the MC simulation result in the whole signal-to-noise ratio range. We can also see that the diversity order remains unity for any number of MS and p values when CEE is not present, while the diversity order of the system drops to zero when CEE is present, which corroborates our earlier analysis.
Fig. 4 shows the average spectral efficiency versus the number of mobile stations K for a multi-user TWR-AF system with optimal power allocation and average power allocation. When the circles represent the MC simulation results, the lines are analytic ASE. It can be seen that they have a good match and are found at ρ and ρ0At different values, we propose an optimal PA scheme that is superior to the unified PA scheme. In the absence of CEE, the performance gap decreases as K or ρ increases. This can be explained by the channel link R-MS when K or p increaseskBecome better and perform to link R-MSkIs more sensitive.
Based on the method, an optimal power distribution system can be constructed, and the method comprises the following steps:
the first module is used for establishing a multi-user TWR-AF cooperation time division duplex system which runs in a half-duplex mode and consists of a base station, a fixed amplification forwarding relay node and a plurality of mobile stations;
a second module, which analyzes the changes generated in the multi-user selection stage and the data interaction stage, judges and discovers the system performance by the average spectrum efficiency and the interruption probability of the multi-user TWR-AF system modulated by the self-adaptive discrete rate through the presentation of the cumulative probability density function and the probability density function, and reduces the influence of the system performance by utilizing the optimal power distribution technology based on the channel statistical information;
and the third module is used for broadcasting and transmitting the processed signals.
The present invention analyzes the cumulative probability density function of the signal to interference plus noise ratio of the base station and the selected mobile station processing under the channel estimation error and the outdated channel state information, respectively, mainly by considering the multi-user TWR-AF system with adaptive modulation. Then, an exact approximation of the average spectral efficiency and outage probability is derived. The progressive performance of the adaptive system is further proposed. And finally, based on the criterion of maximizing the approximate average throughput, an optimal power distribution scheme is provided, and the influence of channel estimation errors and outdated channel state information is reduced. Numerical results show that our proposed power allocation scheme is superior to the common power allocation scheme.
As noted above, while the present invention has been shown and described with reference to certain preferred embodiments, it is not to be construed as limited thereto. Various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (4)

1. An optimal power allocation method, comprising:
step one, establishing a multi-user TWR-AF cooperation time division duplex system which runs in a half-duplex mode, wherein the system consists of a base station, a fixed amplification forwarding relay node and a plurality of mobile stations;
respectively analyzing the changes generated in the multi-user selection stage and the data interaction stage, judging and finding the system performance by means of the average spectrum efficiency and the interruption probability of the multi-user TWR-AF system modulated by the self-adaptive discrete rate through the presentation of the cumulative probability density function and the probability density function, and reducing the influence of the system performance by utilizing an optimal power distribution technology based on channel statistical information;
and step three, broadcasting and transmitting the processed signals.
2. The method of claim 1, wherein the step one further comprises:
all terminals are equipped with a single antenna, and information is transmitted and interacted between a base station BS and a mobile station MS through a fixed amplifying forwarding relay node R in a half-duplex mode, wherein the information interaction consists of two stages which are respectively a multi-user selection stage and a data interaction stage, and the data interaction stage is divided into two time slots.
3. The method of claim 1, wherein the step one further comprises:
in the multi-user selection stage, the relay R uses an estimator to estimate a channel between the relay R and the mobile station MS according to a pilot signal received from the mobile station MS, then the relay R selects a mobile station according to the estimated channel and a multi-user scheduling standard, the mobile station and a base station carry out information interaction, the relay R broadcasts a scheduling instruction to inform the selected mobile station to prepare for data transmission, and other unselected mobile stations keep a silent state;
in the data interaction stage, the communication between the base station and the mobile station is specified in two time slots, in the time slot 1, the base station and the mobile station respectively transmit pilot signals and data to the relay station, and the relay station R estimates channels of a BS-R link and an R-MS link according to the received signals; in the time slot 2, the received signal on the relay station is amplified by a gain G and then forwarded to the base station and the selected mobile station through an error-free feedback channel;
BS and MSkTo be terminated toEnd SINR all along with link R-MSkChannel gain increases, which stimulates R to select the MS with the largest estimated channel gain to the largest sum capacity; MS (Mass Spectrometry)kA time delay is required to know that it is selected to exchange messages with the BS;
by using inequality, C can be maximizedp0,γ1,γ2) To obtain the best power allocation, i.e. the optimal problem can be expressed as:
Figure FDA0002640487900000021
s.t.γ012=γtot
wherein
Figure FDA0002640487900000022
Relative to gamma0,γ1,γ2Is/are as follows
Figure FDA0002640487900000023
The second derivative of (a) is positive and thus it is a concave function, and by applying the KKT condition, we can obtain the best through some mathematical operations,
Figure FDA0002640487900000024
4. an optimal power distribution system, comprising:
the first module is used for establishing a multi-user TWR-AF cooperation time division duplex system which runs in a half-duplex mode and consists of a base station, a fixed amplification forwarding relay node and a plurality of mobile stations;
a second module, which analyzes the changes generated in the multi-user selection stage and the data interaction stage, judges and discovers the system performance by the average spectrum efficiency and the interruption probability of the multi-user TWR-AF system modulated by the self-adaptive discrete rate through the presentation of the cumulative probability density function and the probability density function, and reduces the influence of the system performance by utilizing the optimal power distribution technology based on the channel statistical information;
and the third module is used for broadcasting and transmitting the processed signals.
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Application publication date: 20201215