CN113922849A - User grouping and power distribution method under millimeter wave MIMO-NOMA system - Google Patents
User grouping and power distribution method under millimeter wave MIMO-NOMA system Download PDFInfo
- Publication number
- CN113922849A CN113922849A CN202111267829.4A CN202111267829A CN113922849A CN 113922849 A CN113922849 A CN 113922849A CN 202111267829 A CN202111267829 A CN 202111267829A CN 113922849 A CN113922849 A CN 113922849A
- Authority
- CN
- China
- Prior art keywords
- user
- radio frequency
- message
- frequency chain
- power distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 206010042135 Stomatitis necrotising Diseases 0.000 title claims abstract description 28
- 201000008585 noma Diseases 0.000 title claims abstract description 28
- 230000005540 biological transmission Effects 0.000 claims abstract description 10
- 230000006870 function Effects 0.000 claims description 18
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 4
- 230000009977 dual effect Effects 0.000 claims description 3
- 230000008571 general function Effects 0.000 claims description 3
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 241000764238 Isis Species 0.000 claims 1
- 238000001228 spectrum Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0426—Power distribution
- H04B7/0434—Power distribution using multiple eigenmodes
- H04B7/0443—Power distribution using multiple eigenmodes utilizing "waterfilling" technique
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0452—Multi-user MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a user grouping and power distribution method under a millimeter wave MIMO-NOMA system based on message transmission, which comprises the following steps: (1) and the base station acquires the downlink channel information of the user and carries out analog precoding. (2) And with the aim of maximizing the weighting and the rate of the system, a user grouping algorithm based on a minimum sum message transfer strategy is provided, and the matching result of the user and the radio frequency chain is obtained. (3) Zero-forcing digital precoding is used to suppress inter-group interference, and a low-complexity power allocation method is adopted to maximize the weighting and rate of the system. The invention can effectively improve the spectrum efficiency of the system, fully utilizes the hardware resources of the system and can be used for multi-user data transmission.
Description
Technical Field
The invention belongs to the field of wireless communication, and particularly relates to a user grouping and power distribution method under a millimeter wave MIMO-NOMA system.
Background
With the explosive growth of connected devices in communication systems, the available radio resources become extremely scarce, which presents an unprecedented challenge to the development of fifth generation (5G) wireless communications. In order to alleviate the shortage of radio resources and increase the transmission rate of communication, a direct method is to use a higher frequency band resource. For example, millimeter wave (mmWave) band from 30GHz to 300GHz, which has been regarded as one of the technologies having great potential because millimeter waves can provide a wider wireless band.
mmWave also promotes the application of large-scale multiple-input multiple-output (MIMO) technology, realizes spatial multiplexing and diversity gain, and overcomes severe propagation loss. Multiple access techniques are of great interest for supporting multi-user communication in wireless cellular networks.
For mmWave communication using conventional Orthogonal Multiple Access (OMA) scheme, e.g., time division multiple access, code division multiple access, orthogonal frequency division multiple access, and space division multiple access, the number of users arriving at a data stream in the same time-frequency code space resource block is 1, so the total number of users served is limited, not exceeding the number of radio frequency chains in each resource block. The reduction of radio frequency chains will limit the number of connections, and hence mmWave-MIMO is difficult to support a huge number of users. To address this problem, NOMA may be introduced into mmWave-MIMO to serve more users than RF chains. Compared to conventional OMA technology, NOMA technology is considered a promising multiple access technology in 5G wireless networks due to its higher spectrum utilization and ability to support large-scale connections.
In particular, NOMA superimposes the multi-user signals using the same time/frequency resources at the transmitter, and decodes each user's signal by Successive Interference Cancellation (SIC) at the receiver. In this way, the number of simultaneously supported users can be increased at the cost of introducing controllable inter-user interference. Therefore, combination of NOMA with mmWave-MIMO is expected to greatly increase the number of connections.
Through a search of documents in the prior art, b.wang et al published a document entitled "Spectrum and Energy-Efficient beam space MIMO-NOMA for Millimeter-Wave Communications" in IEEE Journal on Selected Areas in Communications, vol.35, No.10, pp.2370-2382 (IEEE Communications option Journal, october 2017, vol.35, No.10, pp.2370-2382), which proposes a new transmission scheme of beam-domain multiple-input multiple-output (MIMO-NOMA) that breaks through the limitation that the number of users must be smaller than the number of radio frequency chains, and proposes an iterative power allocation algorithm to achieve optimal power allocation for users based on an equivalent channel hybrid precoding scheme. Unfortunately, this document does not suggest a specific user grouping method. In addition, the search shows that the patent entitled "a precoding and power allocation joint optimization method" (publication number: 109617583A) is applied by Jiangxuchun et al in 2019, and the method utilizes a codebook, constructs a final precoding matrix by calculating a selection factor of each code word, and jointly solves the optimal power allocation factor of each user. However, each rf chain in this method can only serve two users, and is not suitable for the case where the number of users is much larger than the number of rf chains.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to overcome the defects of the prior art and provides a user grouping method based on message passing under a millimeter wave MIMO-NOMA system. The invention provides a user grouping algorithm based on a minimum sum message passing strategy so as to maximize the weighting sum rate of a system. Zero-forcing digital precoding is utilized to suppress inter-group interference, and a low-complexity power distribution method is provided, so that the weighting and the rate of a system are maximized, and the spectral efficiency of the system can be effectively improved.
The technical scheme is as follows: the invention provides a user grouping and power distribution method under a millimeter wave MIMO-NOMA system based on message transmission, which comprises the following steps:
step one, a base station acquires downlink channel information of a user and carries out analog precoding;
step two, with the goal of maximizing the weighting and the rate of the system, a user grouping algorithm based on a minimum sum message transmission strategy is provided, and the matching result of the user and the radio frequency chain is obtained;
and step three, according to the user groups obtained in the step two, utilizing zero-forcing digital precoding to inhibit the interference between the groups, and adopting a power distribution method to maximize the weighting sum rate of the system.
Preferably, in the first step, the method for the base station to obtain the downlink channel information of the user and perform the analog precoding includes: obtaining the array response vector of the arrival angle of the user k and the array response vector of the departure angle at the base station to obtain the arrival angle of the ith non-line-of-sight path of the user k in the simulated precoding mode
Is expressed as:
indicating the departure angle of the l-th path at the base station
Wherein L is the L-th non-line-of-sight path, L is greater than or equal to 0 and less than or equal to L, and L is the total number of the non-line-of-sight paths; n is a radical ofUEThe number of antennas for the user; n is a radical ofBSThe number of antennas of the base station; the analog precoding at user k and radio frequency chain r is represented as:
further obtaining the effective channel of the user k on the radio frequency chain r:
wherein,
a downlink channel matrix for user k;
the effective channel vector of user k
Expressed as:
preferably, the specific method of step two is as follows: the number of radio chains in a hybrid system is limited, given that each user can only be assigned one radio chain, i.e.
The number of users connected to each radio frequency chain is limited, i.e.
Wherein M isrIs the number of users allowed to access the radio frequency chain, xk,rMatching to the radio frequency chain r, x for user k 1k,r0 is that user k is not matched to the radio frequency chain r; users are assigned to corresponding radio frequency chains to convert the radio frequency chains into a minimum cost problem, xk,rDefining function node W as a variabler(x) And Ck(x)：
Wherein omegak,r(xk,r)＝wk,rRk,r(xk,r) Represents the weighted sum rate of the system, where wk,rAs a weighting factor, K is the total number of users, and the maximum weighting sum rate of the solving systemThe problem of quantization is represented as:
according to the min-sum message passing paradigm, we consider the general function f (x)1,…,xJ) From variable node xjTo a generic function node flThe messages of (1) are:
wherein J represents the number of variable nodes, and L represents the number of function nodes;
from a generic function node flTo variable node xjThe messages of (1) are:
then the slave function node Wr(x) To variable node xk,rThe message of (1) is:
slave function node Ck(x) To variable node xk,rThe message of (a) is represented as:
thereby obtaining the matching result x of the user and the radio frequency chaink,rComprises the following steps:
τk,rfor each user and node edge of the radio frequency chainEdge:
τk,r＝μk,r+μr,k (13)
wherein,
respectively represent nodes W from a functionr(x) And Ck(x) To normalize the message.
Preferably, according to the user groups obtained in step two, zero-forcing digital precoding is used to suppress inter-group interference, and a power allocation method is used to maximize the weighting and rate of the system, and the specific method is as follows:
when the weight satisfies the condition
Or
Under the condition of (1), performing power distribution by an inter-group weighted water injection power distribution algorithm;
under the condition that the weight is not satisfied, an iterative algorithm is adopted, and the optimal power distribution solving method is obtained by updating the weight factor and the auxiliary variable:
firstly, Lagrange dual conversion is applied to obtain an auxiliary variable Yk,rOptimum value of (2)
Wherein,
the final matching result of the user and the radio frequency chain is obtained; p is a radical ofk,rAllocated power for users, drDigital precoding representing a group of NOMA associated with a radio frequency chain r, and dr||2＝1；σ2Is the noise power;
secondly, secondary conversion is applied on the basis to obtain an auxiliary variable zk,rOptimum value of (2)
Finally, introducing a Lagrange multiplier lambda to obtain a power distribution factor pk,rOptimum value of (2)
The beneficial effects are that: compared with the prior art, the technical scheme of the invention has the following beneficial technical effects:
the invention is suitable for a millimeter wave MIMO-NOMA system, completes grouping of users by using a minimum sum message transmission method, takes the maximum weighting and rate of the users as the target, can effectively improve the frequency spectrum efficiency of the system, fully utilizes the hardware resources of the system, and can be used for multi-user data transmission.
Drawings
FIG. 1 is a schematic diagram of a millimeter wave MIMO-NOMA system in an embodiment of the present invention;
fig. 2 is a flowchart of a user grouping method in a millimeter wave MIMO-NOMA system based on message passing in an embodiment of the present invention;
FIG. 3 is a message passing factor graph in an embodiment of the present invention;
FIG. 4 is a diagram illustrating a comparison of weights and rates of a random access scheme based on a messaging user grouping scheme with iteration numbers in an embodiment of the present invention;
FIG. 5 is a graph illustrating the weight sum rate versus signal-to-noise ratio achieved by the proposed mmWave NOMA scheme and mm Wave OMA scheme in an embodiment of the present invention;
fig. 6 is a schematic diagram of a comparison between the mmWave NOMA scheme and the mmWave OMA scheme, which are implemented in the embodiment of the present invention, and the weighting and the rate as the signal-to-noise ratio under different radio frequency chains and different numbers of users.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto. Examples
In this embodiment, as shown in fig. 1, a single-cell downlink millimeter wave MIMO-NOMA system is provided, and the system conditions are: base station is equipped with NBSRoot transmitting antenna, NRFAnd the radio frequency chains serve K multi-antenna users. Wherein N isBS＞＞NRF。
The invention provides a user grouping and power distribution method under a millimeter wave MIMO-NOMA system based on message transmission, which comprises the following steps:
the method comprises the following steps: the base station obtains the downlink channel information of the user, and the digital precoder is
And equal power distribution
Analog precoding is performed.
In the first step, the base station obtains the downlink channel information of the user, and the method for performing the analog precoding comprises the following steps: obtaining the array response vector of the arrival angle of the user k and the array response vector of the departure angle at the base station to obtain the arrival angle of the ith non-line-of-sight path of the user k in the simulated precoding mode
Is expressed as:
indicating the departure angle of the l-th path at the base station
Wherein L is the L-th non-line-of-sight path, L is greater than or equal to 0 and less than or equal to L, and L is the total number of the non-line-of-sight paths; n is a radical ofUEThe number of antennas for the user; n is a radical ofBSThe number of antennas of the base station; the analog precoding at user k and radio frequency chain r is represented as:
further obtaining the effective channel of the user k on the radio frequency chain r:
wherein,
a downlink channel matrix for user k;
the effective channel vector of user k
Expressed as:
step two: with the goal of maximizing the weighting and rate of the system, we propose a user grouping algorithm based on the minimum sum message passing strategy to obtain the matching result of the user and the radio frequency chain.
The specific method of the second step is as follows: the number of radio chains in a hybrid system is limited, given that each user can only be assigned one radio chain, i.e.
The number of users connected to each radio frequency chain is limited, i.e.
Wherein M isrIs the number of users allowed to access the radio frequency chain, xk,rMatching to the radio frequency chain r, x for user k 1k,r0 is that user k is not matched to the radio frequency chain r; users are assigned to corresponding radio frequency chains to convert the radio frequency chains into a minimum cost problem, xk,rDefining function node W as a variabler(x) And Ck(x)：
Wherein omegak,r(xk,r)＝wk,rRk,r(xk,r) Represents the weighted sum rate of the system, where wk,rFor the weighting factor, K is the total number of users, and the problem of solving the weighted sum rate maximization of the system is expressed as:
according to the min-sum message passing paradigm, we consider the general function f (x)1,…,xJ) From variable node xjTo a generic function node flThe messages of (1) are:
wherein J represents the number of variable nodes, and L represents the number of function nodes;
from a generic function node flIs transmitted toVariable node xjThe messages of (1) are:
then the slave function node Wr(x) To variable node xk,rThe message of (1) is:
slave function node Ck(x) To variable node xk,rThe message of (a) is represented as:
thereby obtaining the matching result x of the user and the radio frequency chaink,rComprises the following steps:
τk,rfor each user and node edge of the radio frequency chain:
τk,r＝μk,r+μr,k (13)
wherein,
respectively represent nodes W from a functionr(x) And Ck(x) To normalize the message.
Step three: and according to the user groups obtained in the step two, utilizing zero-forcing digital pre-coding to suppress the inter-group interference, and adopting a power distribution method to maximize the weighting and the rate of the system, wherein the specific method comprises the following steps:
when the weight satisfies the condition
Or
Under the condition of (1), performing power distribution by an inter-group weighted water injection power distribution algorithm;
under the condition that the weight is not satisfied, an iterative algorithm is adopted, and the optimal power distribution solving method is obtained by updating the weight factor and the auxiliary variable: firstly, Lagrange dual conversion is applied to obtain an auxiliary variable Yk,rOptimum value of (2)
Wherein,
the final matching result of the user and the radio frequency chain is obtained; p is a radical ofk,rAllocated power for users, drDigital precoding representing a group of NOMA associated with a radio frequency chain r, and dr||2＝1；σ2Is the noise power;
secondly, secondary conversion is applied on the basis to obtain an auxiliary variable zk,rOptimum value of (2)
Finally, introducing a Lagrange multiplier lambda to obtain a power distribution factor pk,rOptimum value of (2)
In the steps of the above embodiment, simulations are performed in different scenarios, thereby illustrating the beneficial effects of the present invention.
As a result of the simulation fig. 4, which compares the weighted sum rate based on the messaging user grouping scheme and the random access scheme. The graph simulates the change schematic diagram of the system weighting sum rate and the iteration number under the condition that the maximum transmitting power of the base station is 10 dB. Indicating that our proposed messaging user grouping scheme is significantly superior to the random access scheme.
As a simulation result fig. 5, which compares the weight sum rate achieved by the proposed mmWave-NOMA scheme with the mm Wave-OMA scheme with the variation of the signal-to-noise ratio. As can be seen from fig. 5, the proposed method of the present invention has a higher weighting and rate than the algorithm under OMA system, which benefits from that it can serve multiple users in each beam.
As simulation results fig. 6, it compares the implemented weighting sum rate with the variation of the signal-to-noise ratio for different number of rf chains and users in the proposed mm Wave-NOMA scheme and the mm Wave-OMA scheme. As can be seen from the figure, as the number of rf chains and users increases, the implemented weight sum rate also increases. Moreover, the proposed method is higher than the weighted sum rate of the algorithms under OMA systems. The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (4)
1. A user grouping and power distribution method under a millimeter wave MIMO-NOMA system based on message passing is characterized by comprising the following steps:
step one, a base station acquires downlink channel information of a user and carries out analog precoding;
step two, with the goal of maximizing the weighting and the rate of the system, a user grouping algorithm based on a minimum sum message transmission strategy is provided, and the matching result of the user and the radio frequency chain is obtained;
and step three, according to the user groups obtained in the step two, utilizing zero-forcing digital precoding to inhibit the interference between the groups, and adopting a power distribution method to maximize the weighting sum rate of the system.
2. The method for user grouping and power allocation in a message-passing based mm-wave MIMO-NOMA system according to claim 1, wherein in the first step, the base station obtains downlink channel information of the user, and the method for performing analog precoding comprises: obtaining the simulated precoding by obtaining the array response vector of the arrival angle of the user k and the array response vector of the departure angle at the base station, wherein the arrival angle of the l-th non-line-of-sight path at the user k is
Is expressed as:
indicating the departure angle of the l-th path at the base station
Wherein L is the L-th non-line-of-sight path, L is greater than or equal to 0 and less than or equal to L, and L is the total number of the non-line-of-sight paths; n is a radical ofUEThe number of antennas for the user; n is a radical ofBSThe number of antennas of the base station; the analog precoding at user k and radio frequency chain r is represented as:
further obtaining the effective channel of the user k on the radio frequency chain r:
wherein,
a downlink channel matrix for user k;
the effective channel vector of user k
Expressed as:
3. the method for user grouping and power allocation in a message-passing-based millimeter wave MIMO-NOMA system according to claim 2, wherein the specific method in step two is as follows: the number of radio chains in a hybrid system is limited, given that each user can only be assigned one radio chain, i.e.
The number of users connected to each radio frequency chain is limited, i.e.
Wherein M isrIs the number of users allowed to access the radio frequency chain, xk,rMatching to the radio frequency chain r, x for user k 1k,r0 is that user k is not matched to the radio frequency chain r; users are assigned to corresponding radio frequency chains to convert the radio frequency chains into a minimum cost problem, xk,rDefining function node W as a variabler(x) And Ck(x)：
Wherein omegak,r(xk,r)＝wk,rRk,r(xk,r) Represents the weighted sum rate of the system, where wk,rFor the weighting factor, K is the total number of users, and the problem of solving the weighted sum rate maximization of the system is expressed as:
according to the min-sum message passing paradigm, consider the general function f (x)1,…,xJ) From variable node xjTo a generic function node flThe messages of (1) are:
wherein J represents the number of variable nodes, and L represents the number of function nodes;
from a generic function node flTo variable node xjThe messages of (1) are:
then the slave function node Wr(x) To variable node xk,rThe message of (1) is:
slave function node Ck(x) To variable node xk,rThe message of (a) is represented as:
thereby obtaining the matching result x of the user and the radio frequency chaink,rComprises the following steps:
τk,rfor each user and node edge of the radio frequency chain:
τk,r＝μk,r+μr,k (13)
wherein,
respectively represent nodes W from a functionr(x) And Ck(x) To normalize the message.
4. The method for grouping users and allocating power in the message-passing-based mm-wave MIMO-NOMA system according to claim 1, wherein zero-forcing digital pre-coding is used to suppress the inter-group interference according to the user grouping obtained in step two, and the power allocation method is used to maximize the weighting and rate of the system, and the specific method is as follows:
when the weight satisfies the condition
Or
Under the condition of (1), performing power distribution by an inter-group weighted water injection power distribution algorithm;
under the condition that the weight is not satisfied, an iterative algorithm is adopted, and the optimal power distribution solving method is obtained by updating the weight factor and the auxiliary variable:
firstly, Lagrange dual conversion is applied to obtain an auxiliary variable Yk,rOptimum value of (2)
Wherein,
the final matching result of the user and the radio frequency chain is obtained; p is a radical ofk,rAllocated power for users, drDigital precoding representing a group of NOMA associated with a radio frequency chain r, and dr||2＝1；σ2Is the noise power;
secondly, secondary conversion is applied on the basis to obtain an auxiliary variable zk,rOptimum value of (2)
Finally, introducing a Lagrange multiplier lambda to obtain a power distribution factor pk,rOptimum value of (2)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111267829.4A CN113922849B (en) | 2021-10-28 | 2021-10-28 | User grouping and power distribution method under millimeter wave MIMO-NOMA system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111267829.4A CN113922849B (en) | 2021-10-28 | 2021-10-28 | User grouping and power distribution method under millimeter wave MIMO-NOMA system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113922849A true CN113922849A (en) | 2022-01-11 |
| CN113922849B CN113922849B (en) | 2022-07-08 |
Family
ID=79243516
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111267829.4A Active CN113922849B (en) | 2021-10-28 | 2021-10-28 | User grouping and power distribution method under millimeter wave MIMO-NOMA system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113922849B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116456464A (en) * | 2023-06-15 | 2023-07-18 | 南京信息工程大学 | NOMA user resource allocation method and device based on user service quality |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130155970A1 (en) * | 2011-12-14 | 2013-06-20 | Antonia Tulino | Method and system for a reduced-complexity scheduling for a network mimo with linear zero-forcing beamforming |
| CN109617583A (en) * | 2018-12-14 | 2019-04-12 | 华南理工大学 | A kind of precoding and power distribution combined optimization method |
| CN110690914A (en) * | 2019-11-21 | 2020-01-14 | 郑州大学 | Physical layer security-based hybrid precoding design method under millimeter wave large-scale MIMO-NOMA system |
| CN111147112A (en) * | 2019-12-30 | 2020-05-12 | 中国传媒大学 | Energy maximization collection method based on MIMO-NOMA system |
| CN112261713A (en) * | 2020-10-22 | 2021-01-22 | 岭南师范学院 | Multi-input single-output NOMA system power distribution method based on matched filtering precoding |
| CN112865893A (en) * | 2021-01-20 | 2021-05-28 | 重庆邮电大学 | Intelligent reflector assisted SM-NOMA system resource allocation method |
| CN113067610A (en) * | 2021-03-17 | 2021-07-02 | 郑州航空工业管理学院 | Millimeter wave NOMA system safe energy efficiency maximization power distribution method based on SWIPT |
-
2021
- 2021-10-28 CN CN202111267829.4A patent/CN113922849B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130155970A1 (en) * | 2011-12-14 | 2013-06-20 | Antonia Tulino | Method and system for a reduced-complexity scheduling for a network mimo with linear zero-forcing beamforming |
| CN109617583A (en) * | 2018-12-14 | 2019-04-12 | 华南理工大学 | A kind of precoding and power distribution combined optimization method |
| CN110690914A (en) * | 2019-11-21 | 2020-01-14 | 郑州大学 | Physical layer security-based hybrid precoding design method under millimeter wave large-scale MIMO-NOMA system |
| CN111147112A (en) * | 2019-12-30 | 2020-05-12 | 中国传媒大学 | Energy maximization collection method based on MIMO-NOMA system |
| CN112261713A (en) * | 2020-10-22 | 2021-01-22 | 岭南师范学院 | Multi-input single-output NOMA system power distribution method based on matched filtering precoding |
| CN112865893A (en) * | 2021-01-20 | 2021-05-28 | 重庆邮电大学 | Intelligent reflector assisted SM-NOMA system resource allocation method |
| CN113067610A (en) * | 2021-03-17 | 2021-07-02 | 郑州航空工业管理学院 | Millimeter wave NOMA system safe energy efficiency maximization power distribution method based on SWIPT |
Non-Patent Citations (3)
| Title |
|---|
| JINYU GAO; XIAOMING WANG; RUIJUAN SHEN; YOUYUN XU: "User Clustering and Power Allocation for mmWave MIMO-NOMA with IoT devices", 《2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)》 * |
| RUI JIANG; CAIMING SUN; XINKE TANG; LONG ZHANG; HONGJIE WANG; AI: "Joint User-Subcarrier Pairing and Power Allocation for Uplink ACO-OFDM-NOMA Underwater Visible Light Communication Systems", 《JOURNAL OF LIGHTWAVE TECHNOLOGY ( VOLUME: 39, ISSUE: 7, APRIL1, 1 2021)》 * |
| 陈勇，许奇，王小明，高金玉，申瑞娟: "基于多天线NOMA的通信系统高能效功率分配方法", 《计算机科学》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116456464A (en) * | 2023-06-15 | 2023-07-18 | 南京信息工程大学 | NOMA user resource allocation method and device based on user service quality |
| CN116456464B (en) * | 2023-06-15 | 2023-09-22 | 南京信息工程大学 | NOMA user resource allocation method and device based on user service quality |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113922849B (en) | 2022-07-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Castanheira et al. | Hybrid beamforming designs for massive MIMO millimeter-wave heterogeneous systems | |
| Liu et al. | Fairness-oriented hybrid precoding for massive MIMO maritime downlink systems with large-scale CSIT | |
| Shaikh et al. | Comprehensive survey of massive MIMO for 5G communications | |
| CN108713295B (en) | Practical hybrid precoding scheme for multi-user massive MIMO systems | |
| KR102543091B1 (en) | Apparatus and method for integrated beamforming in wireless communication system | |
| CN108199793B (en) | Hybrid pre-coding method based on time delay pre-compensation for broadband millimeter wave system | |
| CN111615202B (en) | Ultra-dense network wireless resource allocation method based on NOMA and beam forming | |
| CN114070365B (en) | Intelligent reflection surface assisted low-radio-frequency-complexity multi-user MIMO uplink spectrum efficiency optimization method | |
| CN113824478B (en) | Broadband millimeter wave multi-user large-scale MIMO uplink spectrum efficiency optimization method assisted by discrete lens antenna array | |
| Majidzadeh et al. | Partially connected hybrid beamforming for large antenna arrays in multi-user MISO systems | |
| Kassam et al. | Distributed hybrid equalization for cooperative millimeter-wave cell-free massive MIMO | |
| Yuan et al. | Enabling massive connections using hybrid beamforming in terahertz micro-scale networks | |
| Deshpande et al. | Resource allocation design for spectral-efficient URLLC using RIS-aided FD-NOMA system | |
| Femenias et al. | Reduced-complexity downlink cell-free mmWave massive MIMO systems with fronthaul constraints | |
| Ramesh Chandra et al. | An effective combination of terahertz band NOMA and MIMO system for power efficiency enhancement | |
| Badrudeen et al. | Sub-connected structure hybrid precoding for millimeter-wave NOMA communications | |
| Chen et al. | Hybrid beamforming and data stream allocation algorithms for power minimization in multi-user massive MIMO-OFDM systems | |
| CN113922849B (en) | User grouping and power distribution method under millimeter wave MIMO-NOMA system | |
| Yadav et al. | Design of a scheduling algorithm in 3D MIMO beamforming 5G systems for interference mitigation | |
| Abdulateef et al. | Performance analyses of channel estimation and precoding for massive MIMO downlink in the TDD system | |
| Xu et al. | Hybrid precoding for broadband millimeter-wave communication systems with partial CSI | |
| Maruta et al. | Improving semi-blind uplink interference suppression on multicell massive MIMO systems: A beamspace approach | |
| Blandino et al. | Multi-user frequency-selective hybrid MIMO demonstrated using 60 GHz RF modules | |
| Ni et al. | Joint user scheduling and hybrid beamforming design for cooperative mmWave networks | |
| Abdelrahman et al. | Multi-armed bandit based capacity enhancement approach for reconfigurable intelligent surface assisted multi-cell system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |