CN117896039A - Novel downlink non-orthogonal multiple access method based on polarization effect - Google Patents
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Abstract
The invention provides a novel downlink non-orthogonal multiple access method based on polarization effect, which comprises the following steps: s1, at a base station, each user is encoded by utilizing the linear coding characteristic of a polarization code, and all user information is subjected to joint coding superposition by utilizing a joint coding matrix and then transmitted to the user at the same time; and S2, decoding is carried out at each user according to the characteristics of the downlink NOMA and the polar code decoding criteria at the user side, so that information source information is obtained. The invention further carries out theoretical analysis on the designed new scheme to obtain the theoretically optimal power distribution combination, the theoretical error rate and the maximum throughput, and compares the PN-DNOMA algorithm decoding performance with the PC-SIC algorithm performance of independent encoding and decoding of users. Both theoretical and simulation results show that the PN-DNOMA algorithm decoding performance is superior to the PC-SIC algorithm of independent encoding and decoding of users.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a novel downlink non-orthogonal multiple access method based on polarization effect.
Background
In recent years, with The large-scale commercial use of The fifth Generation mobile communication system (5G), research on The sixth Generation mobile communication system (6G) is actively being conducted by The global academic industry. In the future, the scholars think that 6G will realize everything interconnection from 5G man-machine-object to everything intelligent combination of man-nature-intelligent. To achieve interconnection of everything to a everything alliance, future 6G communications must be provided with "three higher", "two larger", "one lower", i.e. higher transmission rate, spectral efficiency, energy efficiency, larger information capacity, number of connections, and lower transmission delay. In order to meet the above-mentioned needs, it is urgent to study efficient and reliable wireless multiple access systems.
Reviewing the previous generation of wireless communication systems, the multiple access mode of each generation of wireless communication system can be found to be various times characteristic. The 1G uses frequency division multiple access to distinguish users by frequency, thereby realizing wireless communication. The 2G uses time division multiple access to divide users in time domain, thereby realizing not only communication short messages but also Internet surfing. The 3G uses code division multiple access, realizes the multiple access of users by utilizing the different code words, and has the video call function. The 4G uses orthogonal frequency division multiple access, and utilizes orthogonal subcarriers to distinguish users to realize higher-quality video image transmission. The multiple access methods described above all belong to orthogonal multiple access (orthogonal MultipleAccess, OMA), that is, radio communication resources (including frequency, time, code, or a combination thereof) are allocated to each user in an orthogonal manner.
OMA suffers from several drawbacks. First, the frequency spectrum available for communication is fixed and, according to the orthogonality principle, the number of users carried on each orthogonal frequency spectrum resource is also limited, which also results in a low frequency spectrum efficiency of the system. In contrast to OMA, non-orthogonal multiple access (non-orthographic MultipleAccess, NOMA) technology is considered one of the popular schemes for solving low spectrum utilization in multiple access for existing 5G and future 6G. NOMA allows the uplink or downlink to accommodate multiple users within the same time-frequency code domain resource, which may also have higher spectral efficiency and system capacity, and a greater number of device connections at the same time-frequency. Compared to the authorized transmission of the traditional OMA, the NOMA does not need dynamic scheduling, thus reducing the transmission delay. In the existing NOMA transmission, users mainly use power domain resources to perform power domain multiplexing. Therefore, accurate channel feedback is not needed, the compatibility is better, and the requirements of the existing 5G and future 6G large-scale access can be met.
Disclosure of Invention
The invention aims to provide a novel downlink non-orthogonal multiple access method based on polarization effect, which is favorable for improving the decoding performance of the user,
The method comprises the following steps: s1, at a base station, each user is encoded by utilizing the linear coding characteristic of a polarization code, and all user information is subjected to joint coding superposition by utilizing a joint coding matrix and then transmitted to the user at the same time; and S2, decoding is carried out at each user according to the characteristics of the downlink NOMA and the polar code decoding criteria at the user side, so that information source information is obtained. The invention further carries out theoretical analysis on the designed new scheme to obtain the theoretically optimal power distribution combination, the theoretical error rate and the maximum throughput, and compares the PN-DNOMA algorithm decoding performance with the PC-SIC algorithm performance of independent encoding and decoding of users. Both theoretical and simulation results show that the PN-DNOMA algorithm decoding performance is superior to the PC-SIC algorithm of independent encoding and decoding of users.
The technical scheme adopted for solving the technical problems is as follows:
A novel downlink non-orthogonal multiple access method based on polarization effect comprises the following steps:
step S1: at the base station, each user is coded by utilizing the linear coding characteristic of the polarization code, and all user information is transmitted to the user after being subjected to joint coding superposition by utilizing a joint coding matrix;
step S2: and at the user end, decoding is carried out at each user according to the characteristics of the downlink NOMA and the polar code decoding criteria, so that information source information is obtained.
Further, the step S1 specifically includes the following steps:
step S11: using the linear coding properties of the polar codes, s-th users, s e (1, 2, 3., M.) information each encode: () s-th is the s-th user, and G Z is the polarization code encoding matrix of the user;
Step S12: joint coding is performed using joint coding matrix :
wherein M is the number of users, and N is the code length of the polarization code.
The coded codeword information of the s-th user is , the actually transmitted codeword information after coding is/> , the signal/> is obtained after modulation, power P v＝avPT is distributed, and the signal is transmitted to the user after superposition.
Further, the step S2 specifically includes:
the signal received by the s-th user is expressed as:
Screening the information of s-th users contained in the transmitted codeword information according to the recoding matrix of the base station, wherein the non-zero column number in s-th rows in the joint coding matrix/> represents the coded information of the s-th users contained in the transmitted information block; according to the characteristic of the downlink NOMA, the transmitting information which does not contain the s-th user is eliminated, the corresponding long code is constructed by utilizing the linear coding characteristic of the polarization code, and the long code is brought into an MZ polarization code decoder to extract the information source information of the s-th user.
Further, in the 4-user downlink NOMA system, the transmitted codeword information is:
Of the superimposed information, only the first transmitted codeword information contains user 1 encoded codeword information obtained/>, using NOMA mapping characteristics
With a length-Z polar decoder to obtain user 1 source information
Exclusive-or processing the first transmitted codeword with the third transmitted codeword and exclusive-or processing the second transmitted codeword with the fourth transmitted codeword according to the matrix using NOMA characteristics to obtain a codeword
Constructing a decoder with a length of 2Z by using a polar code decoding criterion so as to obtain user 2 information source information
Exclusive-or processing is carried out on the first and the second transmission code words, exclusive-or processing is carried out on the third transmission code word and the fourth transmission code word, thereby obtaining code words
Constructing a decoder with a length of 2Z by using the decoding rule to obtain the source information of the user 3
A decoder of length 4Z is constructed and source information/>, of the user 4 is obtained therefrom
Further, the SINR equivalent for user 1 is:
Where α 1,α2,...,αM is the power allocation coefficient of the 1,2, … th, h 1 is the channel fading coefficient between the first user and the base station, P T is the total power, σ 2 is the noise variance in the channel.
The SINR equivalent for the last user is:
Where h M is the channel fading coefficient between the mth user and the base station, and is the power allocation coefficient of the/> user.
The middle s-th user obtains the sending code word according to the corresponding column in the s-th row non-zero element in the joint coding matrix , and then eliminates the corresponding sending code word in the s-th row zero element by using NOMA criterion; thus, the SINR of the s-th user is equivalent to:
According to the power distribution principle P 1＜P2＜…＜PM, the total power of the emission is kept unchanged; thus, the power of the v-th user is defined as:
By calculating the SINR of each user; and calculating the error probability of each power matching in the combination in a Monte-Carlo based mode according to the obtained SINR, thereby obtaining the optimal user power combination.
Further, in the 4-user downlink NOMA system, according to the power distribution principle, from strong to weak users, the distributed power alpha 1＜α2＜α3＜α4; in the first user, the NOMA criterion is applied to the superimposed signal, and the SINR of user 1 is expressed as:
The SINR for user 2 is expressed as:
The SINR for user 3 is expressed as:
the SINR for user 4 is expressed as:
And a novel downlink non-orthogonal multiple access system based on polarization effect, comprising a memory, a processor and computer program instructions stored on the memory and executable by the processor, which when executed by the processor, are capable of implementing the method steps as described above.
Compared with the prior art, the transmitting end of the invention and the preferred proposal thereof combine all user information to carry out independent coding, and then carry out joint coding by utilizing a joint coding matrix. At the first user, NOMA mapping of the received superimposed information may directly obtain the user encoded codeword information. And searching for which transmitting information contains own user information according to the recoding matrix at the rest user, eliminating the rest interference information by using a NOMA mapping rule, constructing a corresponding long polarization code, and improving the decoding performance of the user.
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The invention is described in further detail below with reference to the attached drawings and detailed description:
FIG. 1 is a diagram of a method implementation model of an embodiment of the present invention;
FIG. 2 is a diagram showing the theoretical performance of PN-DNOMA and PC-SIC of four users under different powers in the embodiment of the present invention;
FIG. 3 is a graph showing the theoretical performance of PN-DNOMA and PC-SIC at optimum power for four users according to the present invention;
FIG. 4 is a graph showing the comparison of throughput of a four-user PN-DNOMA and PC-SIC at optimum power according to an embodiment of the present invention;
Fig. 5 is a graph showing comparison of decoding performance simulation curves of four users PN-DNOMA and PC-SIC according to an embodiment of the present invention.
Detailed Description
In order to make the features and advantages of the present patent more comprehensible, embodiments accompanied with figures are described in detail below:
it should be noted that the following detailed description is illustrative and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
The scheme of the invention is further shown and described through the design process of the system:
as shown in fig. 1, the new downlink non-orthogonal multiple access scheme (PN-DNOMA) based on polarization effect and its design provided in this embodiment include the following steps:
S1, at a base station, each user is encoded by utilizing the linear coding characteristic of a polarization code, and all user information is subjected to joint coding superposition by utilizing a joint coding matrix and then transmitted to the user at the same time;
S2, decoding is carried out at each user according to the characteristics of the downlink NOMA and the polar code decoding criteria at the user side, so that information source information is obtained;
and S3, carrying out theoretical analysis on the system to obtain a theoretical optimal power distribution combination, a theoretical bit error rate and a maximum throughput, and comparing PN-DNOMA algorithm decoding performance with PC-SIC algorithm performance of independent encoding and decoding of a user.
Further, step S1 includes the steps of:
In step S11, in the downlink multi-user PN-DNOMA system, the information of the S-th users are firstly encoded/> respectively by utilizing the linear encoding characteristic of the polarization codes, wherein S-th is the S-th user, and G Z is the polarization code encoding matrix of the user.
Step S12, then, the joint coding matrix is utilized to perform joint coding as shown in the formula (1):
wherein M is the number of users, and N is the code length of the polarization code.
The coded codeword information of the s-th user is , the actually transmitted codeword information after coding is/> , the signal/> is obtained after modulation, the power P v＝avPT is distributed, and the signals are simultaneously transmitted to the user after superposition.
Further, step S2 includes the steps of:
in step S21, in the downlink multi-user PN-DNOMA system, the signal received by the S-th user can be expressed as:
According to the recoding matrix of the base station, it can be found which pieces of sending code word information contain s-th user information, namely, the number of columns which are non-zero in s-th rows in/> represents that the sending information block contains s-th user coding information. According to the characteristic of the downlink NOMA, the transmitting information which does not contain the s-th user is eliminated, the corresponding long code is constructed by utilizing the linear coding characteristic of the polarization code, and the long code is brought into an MZ polarization code decoder to obtain the information source information of the s-th user.
In a 4-user downlink NOMA system, the transmitted codeword information is:
Thus, at user 1, encoded codeword information for user 1 needs to be obtained. From the matrix in equation (3), it is found that in the first row, only the first column is non-zero. Therefore, only the first transmitted codeword information in the superimposed information contains the encoded codeword information/> of user 1 and thus the NOMA mapping characteristic can be used to obtain/>
A length Z polar decoder is introduced to obtain user 1 source information at user 2, which is found in the second row in , with the first column and the second column being non-zero elements. Therefore, in the superimposed information, the first transmitted codeword and the second transmitted codeword contain the encoded codeword information/> of the user 2, and the first transmitted codeword and the third transmitted codeword are exclusive-ored and the second transmitted codeword and the fourth transmitted codeword are exclusive-ored according to the matrix/> by using the NOMA characteristic, thereby obtaining codeword/>
Using the polar code decoding criteria, a decoder of length 2Z may be constructed to obtain user 2 source information at user 3, the third user encoded information comprising the first column/> and the third column according to the recoding matrix/> . Thus, the first and second transmitted codewords are exclusive-ored, and the third transmitted codeword is exclusive-ored with the fourth transmitted codeword, thereby obtaining codeword/>
By using the decoding criteria, a decoder with a length of 2Z can be constructed to obtain the source information of the user 3, and at the user 4, the number of columns of non-zero in the fourth row of/> is also found, and it can be found that all the transmitted codewords contain the coding information of the user 4. Therefore, it is necessary to construct a 4Z-length decoder/> and obtain therefrom the source information/> of the user 4
Further, step S3 includes the steps of:
in step S31, in the scheme of multi-user interference cancellation based on the polarization code, according to the analysis in step S2, it can be known that the SINR of the first user is equivalent to:
Where α 1,α2,...,αM is the power allocation coefficient of the 1,2, … th, h 1 is the channel fading coefficient between the first user and the base station, P T is the total power, σ 2 is the noise variance in the channel.
The SINR equivalent for the last user is:
Where h M is the channel fading coefficient between the mth user and the base station, and is the power allocation coefficient of the/> user.
The middle s-th user obtains the sending code word according to the corresponding column in the s-th row non-zero element in the joint coding matrix , and then eliminates the sending code word corresponding to the s-th row zero element by using the NOMA criterion. Thus, the SINR of the s-th user is equivalent to:
step S32, in the 4-user downlink NOMA system, according to the power distribution principle, the power alpha 1＜α2＜α3＜α4 is distributed from strong to weak users. In the first user, the NOMA criterion is applied to the superimposed signal as shown in equation (7). Thus, the SINR for user 1 can be expressed as:
The code word of user 2 is known from (5), and the code word is only in the first transmission code word and the second transmission code word. The first transmitted codeword is exclusive-ored with the third transmitted codeword using the NOMA criterion, and the second transmitted codeword is exclusive-ored with the fourth transmitted codeword or the influence of other users can be eliminated. And based on the reasoning of equation (9), the SINR of user 2 can be expressed as:
Similarly, the code word of user 3 is obtained by equation (6). From the reasoning of equation (9), the SINR of user 3 can be expressed as:
At user 4, the transmitted information each contains information of the fourth user. According to the code rule of the polarization code, a decoder with the code length of 4Z can be constructed to obtain the information of the fourth user. According to equation (3), the SINR of the user can be obtained:
in step S33, the most reasonable power allocation needs to be found from the above coding and decoding methods. According to the power allocation principle, P 1＜P2＜…＜PM is available and the total power transmitted is kept constant. Thus, the power of the v-th user may be further defined as:
From equation (14), a power allocation combination of all users can be obtained, and SINR of each user can be calculated using equations (7), (8), and (9). And calculating the error probability of each power match in the combination in a Monte-Carlo based mode according to the obtained SINR, thereby obtaining the optimal user power combination, wherein the algorithm is shown as a pseudo code algorithm 1.
In terms of decoding complexity, the multi-user PN-DNOMA needs to be decoded by using the joint coding matrix when decoding at the user end. Each column in/> represents each transmitted information, and non-zero rows on the column represent which user information the transmitted information contains.
Therefore, at the j-th user, the receiving end can find that the non-zero columns in the j-th row all contain the information of the j-th user according to . Columns without information of the j-th user can be eliminated by using NOMA mapping criteria, the remaining columns construct corresponding long polarization codes, the information of the user is obtained after decoding, and decoding complexity gamma SC,ΓCA-SCL based on SC and CA-SCL can be expressed as:
In PC-SIC, at j-th user, the receiving end needs to decode out the information of the following M-j users, i.e. the users with large power distribution, and then perform coding elimination. Thus, the SC and CA-SCL coding complexity based can be expressed as:
According to equations (14) and (15), the decoding complexity of the proposed PN-DNOMA is not improved compared to that of PC-SIC in the multi-user case.
The embodiment also provides a novel downlink non-orthogonal multiple access system based on polarization effect, which comprises a memory, a processor and computer program instructions stored on the memory and capable of being executed by the processor, wherein the method steps can be realized when the processor executes the computer program instructions.
Experimental simulation
The present embodiment simulates the error performance of a four user downstream NOMA system. Where d 1＝15,d2＝20,d3＝25,d4 = 30 and with algorithm 1, the performance of all user power allocation combinations can be analyzed. Fig. 2 shows decoding error probabilities of PN-DNOMA and PC-SIC with different power distribution ratios at a code rate of 3/4 and an SNR of 18 dB. From the BER simulation curves in the figure, the optimal power distribution of PC-SIC is ：[P1/PT,P2/PT,P3/PT,P4/PT]＝[0.05,0.12,0.265,0.565],PN-DNOMA and the optimal power distribution of PC-SIC is ：[P1/PT,P2/PT,P3/PT,P4/PT]＝[0.05,0.12,0.265,0.565],PN-DNOMA ：[P1/PT,P2/PT,P3/PT,P4/PT]＝[0.075,0.17,0.195,0.56].
Fig. 3 compares decoding error probabilities of four users PN-DNOMA and PC-SIC at the optimal power allocation. It can be found that compared with PC-SIC, the PN-DNOMA proposed in this embodiment can achieve a performance gain of about 2dB when the code length z=256 is e s＝1.0×10-4.
FIG. 4 is a graph showing the theoretical performance of PN-DNOMA and PC-SIC at optimum power combination. It can be seen that in a four user downstream NOMA system, the proposed PN-DNOMA has a greater throughput than PC-SIC in all signal-to-noise ratio areas.
Fig. 5 is a simulation of decoding performance of PN-DNOMA and PC-SIC at optimum power combination. And adopting a CA-SCL decoder at the receiving end of the user, wherein the code rate is 0.75, and Z=256. Wherein CA-SCL uses list size l=4 and CRC-8 polynomial g (x) =x 8+x2 +x+1.PN-DNOMA has a performance gain of about 1.8dB at ber=1.0×10 -5 compared to PC-SIC. Also, in PN-DNOMA, the performance gap between users is smaller than that of PC-SIC, which shows that it enhances the fairness of users.
In summary, the present invention proposes a downlink multiuser interference cancellation decoding algorithm combining the polarization code and NCMA. The transmitting end combines all user information to perform independent coding, and then performs joint coding by using a joint coding matrix. At the first user, NCMA mapping the received superposition information may directly obtain the user-encoded codeword information. And searching for which transmitting information contains own user information at the rest users according to the recoding matrix, eliminating the rest interference information by utilizing NCMA mapping criteria, constructing a corresponding long polarization code, and improving the decoding performance of the users.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the invention in any way, and any person skilled in the art may make modifications or alterations to the disclosed technical content to the equivalent embodiments. However, any simple modification, equivalent variation and variation of the above embodiments according to the technical substance of the present invention still fall within the protection scope of the technical solution of the present invention.
The present patent is not limited to the above-mentioned best mode, any person can obtain a novel downlink non-orthogonal multiple access method based on polarization effect in various forms under the teaching of the present patent, and all equivalent changes and modifications made according to the scope of the present patent should be covered by the present patent.
Claims (7)
1. The novel downlink non-orthogonal multiple access method based on polarization effect is characterized by comprising the following steps:
step S1: at the base station, each user is coded by utilizing the linear coding characteristic of the polarization code, and all user information is transmitted to the user after being subjected to joint coding superposition by utilizing a joint coding matrix;
step S2: and at the user end, decoding is carried out at each user according to the characteristics of the downlink NOMA and the polar code decoding criteria, so that information source information is obtained.
2. The method for novel downlink non-orthogonal multiple access based on polarization effect according to claim 1, wherein the method comprises the following steps:
The step S1 specifically comprises the following steps:
Step S11: using the linear coding properties of the polar codes, s-th users, s e (1, 2, 3., M.) information each encode: the method comprises the steps of/> , wherein s-th is the s-th user, and G Z is a polarization code encoding matrix of the user;
Step S12: joint coding is performed using joint coding matrix :
wherein M is the number of users, N is the code length of the polarization code;
the coded codeword information of the s-th user is , the actually transmitted codeword information after coding is/> , the signal/> is obtained after modulation, power P v＝avPT is distributed, and the signal is transmitted to the user after superposition.
3. The method for novel downlink non-orthogonal multiple access based on polarization effect according to claim 2, wherein the method comprises the following steps:
The step S2 specifically comprises the following steps:
the signal received by the s-th user is expressed as:
Screening the information of s-th users contained in the transmitted codeword information according to the recoding matrix of the base station, wherein the non-zero column number in s-th rows in the joint coding matrix represents the coded information of the s-th users contained in the transmitted information block; according to the characteristic of the downlink NOMA, the transmitting information which does not contain the s-th user is eliminated, the corresponding long code is constructed by utilizing the linear coding characteristic of the polarization code, and the long code is brought into an MZ polarization code decoder to extract the information source information of the s-th user.
4. A novel downlink non-orthogonal multiple access method based on polarization effect according to claim 3, wherein:
in a 4-user downlink NOMA system, the transmitted codeword information is:
of the superimposed information, only the first transmitted codeword information contains user 1 encoded codeword information obtained/>, using NOMA mapping characteristics
With a length-Z polar decoder to obtain user 1 source information
Exclusive-or processing is performed on the first transmission codeword and the third transmission codeword and the second transmission codeword and the fourth transmission codeword according to the matrix by using NOMA characteristics, thereby obtaining codeword/>
Constructing a decoder with a length of 2Z by using a polar code decoding criterion so as to obtain user 2 information source information
Exclusive-or processing is carried out on the first and the second transmission code words, exclusive-or processing is carried out on the third transmission code word and the fourth transmission code word, thereby obtaining code words
Constructing a decoder with a length of 2Z by using the decoding rule to obtain the source information of the user 3
A decoder of length 4Z is constructed and source information of the subscriber 4 is obtained from it
5. A novel downlink non-orthogonal multiple access method based on polarization effect according to claim 3, wherein:
SINR equivalent for user 1 is:
Wherein α 1,α2,...,αM is the power distribution coefficient of the 1 st, 2 nd, … th, M users, h 1 is the channel fading coefficient between the first user and the base station, P T is the total power, σ 2 is the noise variance in the channel;
The SINR equivalent for the last user is:
Where h M is the channel fading coefficient between the mth user and the base station, and is the power allocation coefficient of the/> user.
The middle s-th user obtains the sending code word according to the corresponding column in the s-th row non-zero element in the joint coding matrix , and then eliminates the corresponding sending code word in the s-th row zero element by using NOMA criterion; thus, the SINR of the s-th user is equivalent to:
According to the power distribution principle P 1＜P2＜…＜PM, the total power of the emission is kept unchanged; thus, the power of the v-th user is defined as:
By calculating the SINR of each user; and calculating the error probability of each power matching in the combination in a Monte-Carlo based mode according to the obtained SINR, thereby obtaining the optimal user power combination.
6. The method for novel downlink non-orthogonal multiple access based on polarization effect according to claim 5, wherein the method comprises the following steps:
In a 4-user downlink NOMA system, according to a power distribution principle, distributing power alpha 1＜α2＜α3＜α4 from strong users to weak users; in the first user, the NOMA criterion is applied to the superimposed signal, and the SINR of user 1 is expressed as:
The SINR for user 2 is expressed as:
The SINR for user 3 is expressed as:
the SINR for user 4 is expressed as:
7. A novel downlink non-orthogonal multiple access system based on polarization effect is characterized in that: comprising a memory, a processor and computer program instructions stored on the memory and executable by the processor, which, when executed by the processor, are capable of carrying out the steps of any one of claims 1-6.
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