CN117750481A

CN117750481A - Power communication network slice resource multiplexing and power distribution method

Info

Publication number: CN117750481A
Application number: CN202311870640.3A
Authority: CN
Inventors: 程紫运; 姚雯倩; 徐敏; 尹立夫; 陈兆雁; 田云飞; 王仕俊
Original assignee: Economic and Technological Research Institute of State Grid Gansu Electric Power Co Ltd
Current assignee: Economic and Technological Research Institute of State Grid Gansu Electric Power Co Ltd
Priority date: 2023-12-29
Filing date: 2023-12-29
Publication date: 2024-03-22

Abstract

The invention provides a method for multiplexing slice resources and distributing power of an electric power communication network, which comprises the following steps: constructing a system model; calculating signal transmitting power and rate of the eMBB and the mMTC terminal; receiving a signal model of eMBB and mMTC based on non-orthogonal multiple access; and decoding and performing performance analysis on the mixed slice signals based on the SIC. The base station can ensure eMBB high-speed transmission and simultaneously access a large number of MTC terminals, coexistence of two services is realized in the same wireless local area network uplink through a non-orthogonal multiple access network slicing scheme, a large number of connections required by mMTC are realized by the base station for improved SIC decoding of received signals, and the application of multiple receiving antennas overcomes the defects of wireless channels and ensures the spectrum efficiency of the two services.

Description

Power communication network slice resource multiplexing and power distribution method

Technical Field

The invention relates to the technical field of communication networks, in particular to a method for multiplexing slice resources and distributing power of an electric power communication network.

Background

Along with the development of the power industry, the requirements of users on various services are higher and higher, different services show diversified requirements under different power scenes, the requirements of the enhanced mobile bandwidth eMBB service on network bandwidth and user rate are higher, and the requirements of mass Internet of things mMTC on terminal connection capacity are higher, so that new requirements are provided for the original network architecture, and the requirements of coexistence of multiple services under the same scene cannot be met by a single network architecture.

The use of OMA, which is a very demanding service for the number of access terminals like mMTC, is very flexible depending on the number of Orthogonal Multiple Access (OMA) connected terminals being limited by the number of available orthogonal radio resources, and thus for this case the use of non-orthogonal multiple access (NOMA) technology in the uplink is very necessary.

Non-orthogonal multiple access NOMA is a promising solution to improve spectral efficiency and to meet the large number of user connections required for mctc applications. Under the NOMA scheme, different users can share the same time/frequency resource through different power distribution or different code signatures, so that the resource utilization rate is greatly improved. Another important technique for enhancing the performance of 5G systems is the multiple antenna technique. Since the interval required to ensure independence between antennas decreases with an increase in carrier frequency, for a frequency band of higher frequencies, such as a millimeter wave band, a large number of antennas can be used for reception, increasing the beamforming capability. On the other hand, for a frequency band with a lower frequency, the number of antennas may be reduced. However, the available bandwidth of the lower frequency band is scarce, which may require multiple antenna technology in combination with other solutions to increase the number of connected users and spectral efficiency.

In the prior art, although a non-orthogonal multiple access (NOMA) scheme is adopted, a system scene is constructed, a transmission model is mathematically modeled, and a reliable power distribution scheme is obtained, but the service emergency degree is not focused, the competition of the service emergency degree for transmission resources is ignored, and different priorities are considered for the service. Meanwhile, the space diversity technology is not considered to be used at the receiving end, so that the overall performance of the system is improved.

Disclosure of Invention

The invention aims to provide a power communication network slice resource multiplexing and power distribution method which is used for solving the problems.

The technical scheme of the invention is as follows: a power communication network slice resource multiplexing and power allocation method, comprising:

step S1: constructing a system model;

step S2: calculating signal transmitting power and rate of the eMBB and the mMTC terminal;

step S3: receiving a signal model of eMBB and mMTC based on non-orthogonal multiple access;

step S4: and decoding and performing performance analysis on the mixed slice signals based on the SIC.

Preferably, step S1 specifically includes:

s11, system composition and communication resource definition, specifically comprising:

in the uplink of one 5G network, a single eMBB terminal and a plurality of MTC terminals transmit independent data packets to a common base station BS; wherein each of the eMBB terminal and the MTC terminal is a single antenna terminal, the BS is equipped with L receive antennas, corresponding to the antenna set T e {1, 2..the., L }, under non-orthogonal slicing, the entire radio resource is allocated to emmbb and mctc, so that there is signal overlap of two services within the entire slot; the eMBB terminal adjusts the transmitting power according to the instantaneous channel condition, and the MTC terminal transmits with the same power;

s12, channel modeling, signal to noise ratio definition and calculation, which concretely comprises the following steps:

assuming that the MTC terminal does not have Channel State Information (CSI), and assuming that the eMBB terminal and the BS have complete CSI; the frequency of the channel is within the coherence interval of time and frequency, the attenuation coefficient of each channel obeys Rayleigh distribution independently of each other and is constant in each time slot;

k for wireless channel gain of eMBB and MTC terminal _i Representing that, following a zero-mean complex gaussian distribution, the variance is θ _i I.e. k _i ～CN(0，θ _i ) Wherein θ is _i Is the average channel gain; by k _i ＝[g _i，1 ，g _i，2 ...g _i，L ]A wireless channel gain vector representing signals belonging to an eMBB or MTC terminal received at a base station antenna;

assuming that the average transmission power of all terminals is normalized to 1, the difference between the actual transmission power and the path loss of the device is calculated by the average channel gain; by beta _i Expressed as the average received signal to noise ratio;

in the case of interference-free transmission, the received signal-to-noise ratio (SNR) obtained after applying maximum gain ratio combining (MRC) is:

β _i ＝||k _i || ² (1)

wherein I ² Representing the square of the norm of the vector.

Preferably, step S2 specifically includes:

s21, constructing an eMBB optimization model, which specifically comprises the following steps:

since the eMBB terminal has a rate performance requirement, the transmitting power P of the eMBB terminal needs to be adjusted according to the channel state information CSI _t ；

The eMBB terminal is under average power constraint (E { P _t (β _B ) } =1) in order to ensure that the critical rate is less than the threshold R _B The probability of (2) being less than the threshold lambda _e The normalized rate R is established as follows _B Maximizing the model:

MaximizeR _B

S.T.Pr{log ₂ [1+P _t (β _B )β _B ]≤R _B }≤λ _e (2)

E{P _t (β _B )}＝1

wherein s.t. represents satisfying the following constraint, pr { } represents a calculation probability function, E { } represents an averaging function;

s22, optimizing target solving and parameter definition, which specifically comprises the following steps:

to solve the above model, the eMBB rate upper limit R _B Obtaining an optimal solution according to a truncated power inversion method, wherein the calculation method is as follows:

wherein,by solving for the signal-to-noise ratio beta _B Average power constraint as a variable (E { P _t (β _B ) } = 1) equation to get the target signal to noise ratio; according to equation (3), if the received signal to noise ratio beta _B Signal-to-noise ratio above a given threshold>The transmit power P of the eMBB terminal _t Is->Otherwise, no signal is transmitted;

wherein,the specific calculation process of (2) is summarized as follows:

according to the activation probability equation of the eMBB terminal under the condition of Rayleigh channel fading:wherein for->For example, a +>Representing an incomplete gamma function, θ _B Averaging for eMBB trafficThe channel gain, the interrupt probability equation of building eMBB business is:solving to obtain threshold signal-to-noise ratio +.>

Wherein the method comprises the steps ofIs the following incomplete gamma function;

then by solving the equationThe target signal-to-noise ratio is obtained as follows:

finally obtaining the maximum transmission rate R of the eMBB terminal _B The method comprises the following steps:

s23, constructing a mMTC optimization model, which specifically comprises the following steps:

for mMTC signals, M MTC terminals are set to be connected to a base station, and the service performance aims at maximizing the terminal access quantity M _max And transmission rate R _M Maximum terminal access amount M _max As R _B Calculating the maximum terminal access quantity M _max The problem is expressed as:

maximizeM _max

the constraint is satisfied:

namely, the maximum value of the access quantity of the mMTC terminal is realized in the range of being feasible while considering the upper and lower limits of the eMBB transmission rate and the signal to noise ratio, wherein M is _max Maximum terminal access quantity accessible to mMTC terminal, R _Bfct For the actual transmission rate of the eMBB terminal,for the target signal-to-noise ratio of the solution, +.>For threshold signal-to-noise ratio, R _B Is the maximum upper rate limit for an eMBB device.

Preferably, step S3 specifically includes:

s31, constructing a mathematical model of a received signal and defining parameters, wherein the method specifically comprises the following steps:

under the non-orthogonal multiple access slice, the emmbc and mMTC flows overlap in the whole time slot, and the mixed signal vector expression received by the base station is:

y＝Zx+n (9)

wherein:

Z＝[z _m，1 ，z _m，2 ，…，z _m，M ，z _B ] (10)

z represents a matrix of channel gains between all eMBBs and mMTC terminals and a base station;

x represents complex vector containing MTC terminal and eMBB terminal transmitting signals, W _M Representing the transmitting power of the corresponding signal, n being a noise sample vector;

s32, constructing a mathematical model of a transmitting signal and defining parameters, wherein the method specifically comprises the following steps:

is provided withVector representing mth MTC signal>Element(s) of->Representing the corresponding vector of the eMBB signal +.>In the non-orthogonal multiple access slice scheme, if the EMBB and the mMTC signal have mutual interference, the situation that the interference exists is consideredAnd->The transmit signal vector mathematical expression should be:

wherein W is _M Representing the transmit power, z, of the corresponding signal _m，M Represents the mth column of the emtc channel gain matrix Z,representing z _m，M Z _B Channel gain vector representing eMBB, +.>Represents the m-th signal transmission complex vector in the mMTC signal,>a transmitted complex vector representing the emmbb signal;

public indication (1)2) In the case of an mctc signal,signal representing mth MTC terminal transmission, +.>Representing signal interference from other mtc terminals,representing signal interference from an eMBB terminal and noise;

in the publication (13), for the eMBB signalIndicating that the eMBB transmits a signal,representing interference from mctc signals as well as noise.

Preferably, step S4 specifically includes:

s41, the received signal decoding principle and analysis specifically comprise:

all MTC terminals operate without CSI, with the mctc signals transmitted at the same power and with the same target data rate R _M ；

In the MRC-SIC decoding process, the BS detects the terminal with the strongest signal-to-noise ratio in the active MTC terminals, decodes the signal, subtracts the interference from the received signal, continues to the MTC signal with the second strongest signal-to-noise ratio, and when all the MTC signals are correctly decoded, the decoding process is finished; SIC decoding order is arranged according to the signal-to-noise ratio descending order of the received active MTC terminals:

wherein the method comprises the steps ofIndicating that the ith hasA source MTC signal;

when decoding the mth MTC signal, if the eMBB signal interference exists, the signal-to-noise ratio of the mth MTC signal is:

wherein ||z _m，M || ⁴ Mth column Z representing mMTC channel gain matrix Z _m，M Fourth power of 1 norm, ||z _m，M || ² Representing the square of the 1 st norm of the mth column of the mMTC channel gain matrix Z, if the inequality is satisfied: log of ₂ (1+β _m )≥R _M Indicating that the mth MTC terminal is correctly decoded; after correctly decoding all MTC terminals, if the eMBB signal has not been decoded, the base station starts decoding the eMBB signal, where the signal-to-noise ratio of the eMBB signal is expressed as:

wherein ||z _B || ⁴ Fourth power of 1 norm of channel gain vector representing eMBB, similarly, if inequality log ₂ (1+β _B )≥R _B If true, the eMBB signal is correctly decoded;

s42, SIC decoding, specifically comprising:

specifically, the successive interference cancellation SIC decoding procedure for the non-orthogonal multiple access slicing scheme is as follows:

step1, the BS performs maximum gain ratio combination on the received signals, and arranges the signals in descending order according to the strength of the signal to noise ratio;

step2, the BS tries to decode the signal with the strongest signal-to-noise ratio, if the decoding is successful, the decoded signal is subtracted from the received signal, and the BS tries to decode the signal with the second strongest signal-to-noise ratio; if decoding fails, performing step3 if the failed signal is an MTC signal; if the signal which fails to be decoded is an eMBB signal, the subsequent signal cannot be successfully decoded due to the fact that the interference of the eMBB signal cannot be removed, and the decoding process is terminated;

step3, since the MTC signal decoding fails, the BS tries to decode the eMBB signal, if the eMBB signal is correctly decoded, subtracting from the received signal and performing step4; if the eMBB signal fails to decode, the decoding process is terminated;

step4, since the MTC signal decoding fails, the BS tries to decode the eMBB signal, if the eMBB signal is correctly decoded, subtracting and performing step4 from the received signal; if the eMBB signal fails to decode, the decoding process terminates.

The invention has the beneficial effects that:

the invention provides a communication mode for realizing coexistence of 5G three-large application scene enhanced mobile bandwidth (eMBB) service and mass Internet of things communication (mMTC) by combining a non-orthogonal multiple access technology and a space diversity receiving technology based on a shared network slicing architecture. The base station can ensure eMBB high-speed transmission and simultaneously access a large number of MTC terminals, coexistence of two services is realized in the same wireless local area network uplink through a non-orthogonal multiple access network slicing scheme, a large number of connections required by mMTC are realized by improving SIC decoding of received signals through the base station, the defect of a wireless channel is overcome by the application of multiple receiving antennas, and the spectrum efficiency of the two services is ensured.

Drawings

Fig. 1 is a general schematic diagram of a method for multiplexing slice resources and distributing power in an electric power communication network according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a power communication model with multiple services coexisting in an embodiment of the present invention;

fig. 3 is a schematic diagram of time-frequency transmission resource allocation for coexistence of multiple services according to an embodiment of the present invention;

fig. 4 is a schematic diagram of overall transmission and decoding of a multi-service signal according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a SIC decoding process performed by a base station receiving end according to signal-to-noise ratio strength according to an embodiment of the present invention;

fig. 6 is a graph of simulation results of two service rates for multiple service transmissions with different numbers of receive antennas using conventional Orthogonal Multiple Access (OMA);

fig. 7 is a graph of simulation results of two service rates for multiple service transmissions with different numbers of receive antennas using non-orthogonal multiple access (NOMA);

fig. 8 is a schematic diagram of simulation results of an eMBB service rate and an emtc device access amount of different receiving antennas under multi-service transmission by using conventional Orthogonal Multiple Access (OMA);

fig. 9 is a schematic diagram of simulation results of an eMBB service rate and an emtc device access amount of different receiving antennas under multi-service transmission by using non-orthogonal multiple access (NOMA);

fig. 10 is a schematic diagram of simulation results of an eMBB service rate and an emtc device access volume under an OMA scheme and a NOMA scheme when a receiving antenna T is 16.

Detailed Description

The present invention will be further described with reference to the accompanying drawings and specific examples so that those skilled in the art may better understand the present invention and practice it, and the embodiments of the present invention are not limited thereto.

Example 1

As shown in fig. 1, a flow chart of the present invention is shown. Comprising the following steps:

step S1: constructing a system model;

As shown in fig. 2, in the same scenario, multiple mtc devices and a single eMBB device transmit data to the same public base station, and their distances from the base station are different, and there is a possibility of mutual interference.

As shown in fig. 3, the horizontal axis represents time, the vertical axis represents frequency, the time-frequency resource is divided into a plurality of small time slots, blue represents time slots for eMBB service transmission, yellow represents time slots for emtc service transmission, gray represents no service transmission, and idle time slots, it is assumed that two services are overlapped and transmitted by non-orthogonal multiple access on a channel f with frequency f, the two services are interfered by noise and each other, each channel frequency f is set in a time-frequency coherence interval, attenuation coefficient of each wireless channel is set to be fixed in each time slot, and coefficients of different time slots are independently distributed.

As shown in fig. 4, an eMBB transmitting device and a plurality of emtc devices are arranged at a transmitting end to transmit signals to the same public base station, and an eMBB service mainly pursues to realize the maximum transmission rate under the coexistence interference of an emtc service; in the transmission process, transmission resources are allocated to the eMBB signal and the emtc service, the transmission channel where each signal is located has different channel gains, the average channel gain is used to represent the merits of each channel, the two services adopt non-orthogonal multiple access coexistence in the transmission channel, at the receiving end, a Base Station (BS) sets T receiving antennas to receive the transmission signal, and adopts maximum gain ratio combining (MRC) to improve performance gain, different weights are given to the received N paths of signals according to the signal-to-noise ratio to obtain the maximum signal-to-noise ratio, then the received signals are arranged according to the descending order of the received signal-to-noise ratio (the depth of the signal color indicates the signal-to-noise ratio strength), and then a decoder performs Successive Interference Cancellation (SIC) decoding on the signals.

As shown in fig. 5, in order to perform successive interference cancellation SIC decoding, the base station BS performs maximum gain ratio combining on the received signals, and arranges the signals in descending order according to the strength of the signal to noise ratio, and the BS tries to decode the signal with the strongest signal to noise ratio, if one signal decoding succeeds: subtracting the decoded signal from the received signal and the BS attempts to decode the signal with the second strongest signal-to-noise ratio; if the decoding fails and the failed signal is an mMTC signal, the BS attempts to decode the eMBB signal: subtracting and continuing decoding the remaining mMTC signal from the received signal if the eMBB signal is correctly decoded, and terminating the decoding process if the eMBB signal fails to decode; if the signal of decoding failure is an eMBB signal: the subsequent signal cannot be successfully decoded due to the inability to remove the interference of the eMBB signal, and the decoding process is terminated

Simulation results and analysis:

the performance characterization of non-orthogonal slices is reflected from two target numerical dimensions by first setting an eMBB data rate R _B ∈[0，R _outB ]Then calculates the maximum mMTC data rate r that can be achieved by all MTC terminals connected to the BS in the case of meeting the reliability requirement _M The method comprises the steps of carrying out a first treatment on the surface of the In the calculation process, the feasible signal-to-noise ratio beta which can be adopted by the eMBB device _B 。

Through Matlab simulation, monte Carlo simulation results of the two services under two slicing schemes can be obtained, and from the simulation results, performance differences of the same radio resources under orthogonal and non-orthogonal slicing schemes and performance improvement caused by multiple receiving antennas can be seen. Reliability requirements of emmbb and mctc are set to λ, respectively _e ＝10 ^-3 And lambda (lambda) _m ＝10 ^-1 The average channel gains of eMBB and mMTC are beta respectively _B =10db and β _M ＝5dB。

The number of MTC terminals connected to the base station, m=10, the receiving antennas T e {2,4,8, 16}, in fig. 6 and 7, the curves correspond to the rate pair (R _B ，R _M ) The difference is that fig. 6 corresponds to a conventional OMA scheme, and fig. 7 corresponds to a NOMA scheme, and it can be seen that, whether the conventional orthogonal multiple access OMA scheme or the non-orthogonal multiple access NOMA scheme is used, as the number of antennas increases, the overall system performance is greatly improved, but when the number of antennas is small, the performance of the two antennas does not have great difference.

In fig. 8 and 9, the number of MTC terminals connected to the base station m=10, the receiving antennas T e {2,4,8, 16}, the curve corresponds to the ratio of the maximum access amount of emtc to the rate of eMBB (R _B ，M _max ) Fig. 8 corresponds to the performance under the OMA scheme and fig. 9 corresponds to the performance under the NOMA scheme, and it can also be seen that the increase in the number of antennas improves the system performance under both schemes.

In fig. 10, given mctc data rate r _M =0.25 bits/s/Hz, the number of antennas is fixed to be t=16, and the simulation curve corresponds to the number and the number of MTC terminalseMBB data rate (R _B ，M _max ). As can be seen from fig. 10, the non-orthogonal slice NOMA scheme is at the maximum achievable mMTC data rate r _M And maximum number of connected MTC terminals M _max The performance in terms is good. Greatly improves the rate pair (R _B ，R _M ) And the number of connections (R _B ，M _max )。

When R is _B At minimum, the eMBB traffic has minimal interference to the mctc traffic, so all MTC terminals are decoded correctly before the eMBB terminals decode. When R is _B When increased to the intermediate value, the interference of the eMBB increases as well, since the eMBB terminal has to employ a higher target signal-to-noise ratio to meet the target data rate. In this case, the eMBB terminal starts to be decoded before some MTC terminals are decoded. After decoding the emmbc, the MTC terminal is no longer interfered with and the performance of the emtc is very smooth. Finally, R _B The higher the value, the higher the target snr must be, which causes greater interference to the mMTC traffic, causing its performance to drop dramatically. In this case, the performance of the eMBB is also severely limited by mctc traffic interference. The large number of connections required for mctc applications are all achieved by using NOMA with SIC decoding. The use of multiple receiving antennas reduces the defects of wireless channels and ensures the spectrum efficiency of two services. Simulation results show that when the number T of antennas is set to be 16 and the eMBB rate is set to be between 40 and 75 percent of the maximum transmission rate upper limit, the performance of the two services is stable, the access quantity of the mMTC service can be considered, the transmission rate of the eMBB service can be ensured, and the more the number of receiving antennas is, the non-orthogonal slicing scheme is superior to the traditional orthogonal slicing scheme in terms of the achievable mMTC data rate of a given number of connecting terminals and the access quantity of MTC terminals under the given number of mMTC data rates. Although spatial diversity greatly improves system performance, but also increases receiver complexity, this can bring great economic benefits and improve performance, so overall performance improvements that increase receiver complexity is highly desirable.

And then according to the analysis, the power distribution adjustment can be carried out according to the emergency degree of the service so as to realize the optimization of transmission resources. Because the eMBB service signal can interfere with the mctc service signal, and under different application scenarios, the service has different priorities according to the emergency degree of the actual situation, the eMBB service can adjust the transmitting power according to the channel information, and the transmitting rate is changed through the transmitting power, as shown in the following table:

dividing the priority of the eMBB service into three areas according to the priorities of the eMBB service and the mMTC service, and noting that the three areas are all used for adjusting the transmission rate of the eMBB service on the premise of considering the performance requirement and the reliability constraint of the mMTC service, and when the eMBB service is in an emergency, the transmission rate R is adjusted _Bfct The access quantity of the mMTC service can be considered when the maximum speed is set within the range of 50% -75% of the maximum speed upper limit, and meanwhile, the service emergency degree of eMBB is also met; when the emergency degree of the eMBB service and the mMTC service is not high, the transmission rate R can be moderately reduced _Bfct The performance of the two services is the most stable when the two services are arranged within the range of 30% -50% of the maximum speed upper limit; when the emergency degree of the eMBB service is not high, the emergency degree of the corresponding mMTC service is high, and the transmission rate R is increased _Bfct And setting the interference of the eMBB service signal to the mMTC signal to be minimized within the range of 10-30% of the maximum rate upper limit, so that the decoder decodes the mMTC signal preferentially.

Those of ordinary skill in the art will appreciate that: the drawings are schematic representations of one embodiment only and the flow in the drawings is not necessarily required to practice the invention.

Claims

1. A method for multiplexing and distributing power to power communication network slice resources, comprising:

step S1: constructing a system model;

2. The method for multiplexing and distributing power to power communication network slice resources according to claim 1, wherein the step S1 specifically comprises:

k for wireless channel gain of eMBB and MTC terminal _i Representing that, following a zero-mean complex gaussian distribution, the variance is θ _i I.e. k _i ～CN(0,θ _i ) Wherein θ is _i Is the average channel gain; by k _i ＝[g _i,1 ,g _i,2 ...g _i,L ]A wireless channel gain vector representing signals belonging to an eMBB or MTC terminal received at a base station antenna;

β _i ＝||k _i || ² (1)

wherein I ² Representing the square of the norm of the calculated vector.

3. The method for multiplexing and distributing power to slice resources of an electric power communication network according to claim 1, wherein step S2 specifically comprises:

wherein,by solving for the signal-to-noise ratio beta _B Average power constraint as a variable (E { P _t (β _B ) } = 1) equation to get the target signal to noise ratio;according to equation (3), if the received signal to noise ratio beta _B Signal-to-noise ratio above a given threshold>The transmit power P of the eMBB terminal _t Is->Otherwise, no signal is transmitted;

wherein,the specific calculation process of (2) is summarized as follows:

according to the activation probability equation of the eMBB terminal under the condition of Rayleigh channel fading: wherein for->For example, a +>Representing an incomplete gamma function, θ _B For the average channel gain of the eMBB service, establishing an interruption probability equation of the eMBB service is as follows:solving to obtain threshold signal-to-noise ratio +.>

maximizeM _max

the constraint is satisfied: .0<R _Bfct <R _B ，

4. The method for multiplexing and distributing power to power communication network slice resources according to claim 1, wherein step S3 specifically comprises:

y＝Zx+n(9)

wherein:

Z＝[z _m，1 ，z _m，2 ，...，z _m,M ，z _B ](10)

wherein W is _M Representing the transmit power, z, of the corresponding signal _m,M Represents the mth column of the emtc channel gain matrix Z,representing z _m,M Z _B Channel gain vector representing eMBB, +.>Represents the m-th signal transmission complex vector in the mMTC signal,>a transmitted complex vector representing the emmbb signal;

in the disclosure (12), for an mctc signal,representing the signal transmitted by the mth MTC terminal,representing signal interference from other mMTC terminals, < +.>Representing signal interference from an eMBB terminal and noise;

5. The method for multiplexing and distributing power to slice resources of an electric power communication network according to claim 1, wherein step S4 specifically comprises:

s41, the received signal decoding principle and analysis specifically comprise:

wherein the method comprises the steps ofRepresenting an ith active MTC signal;

wherein ||z _m,M || ⁴ Mth column Z representing mMTC channel gain matrix Z _m,M Fourth power of 1 norm, ||z _m,M || ² Representing the square of the 1 st norm of the mth column of the mMTC channel gain matrix Z, if the inequality is satisfied: log of ₂ (1+β _m )≥R _M Indicating that the mth MTC terminal is correctly decoded; after correctly decoding all MTC terminals, if the eMBB signal has not been decoded, the base station starts decoding the eMBB signal, where the signal-to-noise ratio of the eMBB signal is expressed as:

s42, SIC decoding, specifically comprising: