CN114124179A - User selection method for multi-user wireless energy transmission system - Google Patents

User selection method for multi-user wireless energy transmission system Download PDF

Info

Publication number
CN114124179A
CN114124179A CN202111172809.9A CN202111172809A CN114124179A CN 114124179 A CN114124179 A CN 114124179A CN 202111172809 A CN202111172809 A CN 202111172809A CN 114124179 A CN114124179 A CN 114124179A
Authority
CN
China
Prior art keywords
terminal
information decoding
wireless information
wireless
energy
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
Application number
CN202111172809.9A
Other languages
Chinese (zh)
Other versions
CN114124179B (en
Inventor
桂鑫
黄晓鹏
石俊峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Kuisheng Information Technology Co ltd
Original Assignee
Guangdong Kuisheng Information Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangdong Kuisheng Information Technology Co ltd filed Critical Guangdong Kuisheng Information Technology Co ltd
Priority to CN202111172809.9A priority Critical patent/CN114124179B/en
Publication of CN114124179A publication Critical patent/CN114124179A/en
Application granted granted Critical
Publication of CN114124179B publication Critical patent/CN114124179B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0215—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices
    • H04W28/0221—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices power availability or consumption
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/18—Negotiating wireless communication parameters
    • H04W28/22—Negotiating communication rate

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application provides a user selection method for a multi-user wireless energy transmission system, which comprises the following steps: taking the maximum average transmission rate of the ID of the wireless information decoding terminal as an objective function and meeting the minimum required energy Q acquired by the EHEThe constraint condition of (1) and constructing a mathematical model between the wireless information decoding terminal ID and the energy acquisition terminal EH; quantizing the receiving channels of the energy acquisition terminal EH and the wireless information decoding terminal ID respectivelyAnd precoding; and according to the energy acquisition terminal EH and the wireless information decoding terminal ID after re-precoding, optimizing the constructed mathematical model between the wireless information decoding terminal ID and the energy acquisition terminal EH, and performing self-adaptive selection on the optimal wireless information decoding terminal ID. The method can be used for self-adaptive user selection under different parameter configurations under the condition that the total feedback bandwidth is fixed, so that the maximum value of the total transmission rate of the wireless information decoding terminal user is achieved.

Description

User selection method for multi-user wireless energy transmission system
Technical Field
The invention relates to the technical field of wireless communication, in particular to a user selection method for a multi-user wireless energy transmission system.
Background
At present, greedy user selection method and orthogonal user selection method are mainly adopted for transmission system selection of multi-user hybrid energy transmission and wireless communication. The greedy user selection method is a user selection method directly taking the total transmission rate of multiple users as an optimization target. The specific method comprises the following steps: the scheduler selects the user with the highest achievable rate. Then, in each iteration, the total transmission rate of a new user set formed by each remaining user and the selected cooperative users is calculated, and then the user set with the maximum total transmission rate is selected as the new user set of the current iteration. If any new user set cannot increase the total transmission rate or the maximum schedulable number of users is reached, the process ends. The greedy user selection method has a high computational complexity because the total rate of all the cooperative user combinations is calculated in each iteration.
As for the semi-orthogonal user selection method, the two-dimensional information of the channel quality and the channel direction is utilized to represent the transmission rate of users, and the interference among multiple users is reduced as much as possible by selecting approximately orthogonal users, so that the total transmission rate of the multiple users is indirectly optimized. The semi-orthogonal user selection method is characterized by using two-dimensional information of channel quality and channel direction to represent the transmission rate, and the total transmission rate is calculated without performing inverse operation on a multi-user synthesized channel matrix in an iterative process. However, in the semi-orthogonal algorithm, a threshold for characterizing the orthogonality of users needs to be set. If the threshold parameter is set too small, the multi-user diversity gain is reduced; the threshold is set too high, which is likely to cause too much inter-stream interference. Therefore, the threshold parameter must be optimized through multiple simulations.
Both of the above two user selection methods are based on the user with the best channel quality to select the user, and the search range is very limited, thereby limiting the diversity gain of multiple users.
Therefore, there is a need to develop a new user selection method that can effectively improve the multi-user diversity gain and ensure lower computational complexity.
Disclosure of Invention
The embodiment of the present application aims to provide a user selection method for a multi-user wireless energy transmission system, which can be used for adaptive user selection under different parameter configurations under the condition that the total feedback bandwidth is fixed, so as to achieve the maximum value of the total transmission rate of a wireless information decoding terminal user.
In order to achieve the above object, the present application provides a user selection method for a multi-user wireless energy transmission system, which includes a wireless access point AP simultaneously with an energy harvesting terminal EH and KIID information interaction of each wireless information decoding terminal; wherein the wireless access node AP is configured with NTThe energy acquisition terminal EH and the wireless information decoding terminal ID are both provided with a single receiving antenna;
the method comprises the following steps:
taking the maximum average transmission rate of the wireless information decoding terminal ID as an objective function and meeting the minimum required energy Q acquired by the energy acquisition terminal EHEThe constraint condition of (2) that a mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is constructed;
quantizing the receiving channels of the energy acquisition terminal EH and the wireless information decoding terminal ID respectively, and re-precoding according to the receiving channel information after the energy acquisition terminal EH and the wireless information decoding terminal ID are quantized;
according to the energy acquisition terminal EH subjected to re-precoding and the wireless information decoding terminal ID, optimizing a mathematical model which is constructed between the wireless information decoding terminal ID and the energy acquisition terminal EH;
and according to the optimized mathematical model between the wireless information decoding terminal ID and the energy acquisition terminal EH, performing self-adaptive selection on the optimal wireless information decoding terminal ID.
Preferably, the constructing of the mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is as follows:
Figure BDA0003293966470000031
wherein h isiAnd g is a receiving channel of the wireless information decoding terminal ID and the energy collecting terminal EH respectively, and the dimensionality is 1 multiplied by NT，
Figure BDA0003293966470000032
Represents hiTransposed conjugate matrix of gHA transposed conjugate matrix representing g; v. ofiFor channel hiW is the transmission precoding of the channel g; ptotFor maximum transmit power constraint, P, of the wireless access point APEAnd PIRespectively the transmission power P distributed to the energy collecting terminal EH and the wireless information decoding terminal IDEAnd PIAnd satisfy PE+PI＝Ptot。
Preferably, the method for quantizing the receiving channels of the energy harvesting terminal EH and the wireless information decoding terminal respectively comprises:
the energy acquisition terminal EH and the wireless information decoding terminal ID respectively pre-store the code book generated offline
Figure BDA0003293966470000033
B is adopted by the energy acquisition terminal EH and the wireless information decoding terminal ID respectivelyEAnd BI,kRepresenting quantized channel information, the corresponding codebooks each comprising
Figure BDA0003293966470000041
And
Figure BDA0003293966470000042
the maximum feedback bandwidth constraint which can be processed by the base station is BtotAnd satisfy
Figure BDA0003293966470000043
Respectively obtaining actual channel information from the energy acquisition terminal EH and the wireless information decoding terminal ID through channel estimation, and quantizing a receiving channel according to a minimum Euclidean distance criterion, namely:
Figure BDA0003293966470000044
wherein,
Figure BDA0003293966470000045
and
Figure BDA0003293966470000046
respectively representing normalized receiving channel information g and hi，
Figure BDA0003293966470000047
And
Figure BDA0003293966470000048
respectively representing channels
Figure BDA0003293966470000049
And
Figure BDA00032939664700000410
receiving channel information after quantization;
the wireless access node AP receives the channel information according to the quantization
Figure BDA00032939664700000411
And
Figure BDA00032939664700000412
precoding and wireless transmission are performed.
Preferably, the information of the receiving channel after EH quantization is acquired according to the energy collecting terminal
Figure BDA00032939664700000413
And precoding the transmission of the receiving channel g of the energy acquisition terminal EH into:
Figure BDA00032939664700000414
wherein,
Figure BDA00032939664700000415
a precoding matrix representing the energy harvesting terminals EH,
Figure BDA00032939664700000416
to be in a channel
Figure BDA00032939664700000417
Is projected onto, wherein
Figure BDA00032939664700000418
Is KIDecoding the aggregated channels of the terminal ID users with said wireless information,
Figure BDA00032939664700000419
representing a transposed conjugate matrix;
decoding the receiving channel information after the terminal ID quantization according to the wireless information
Figure BDA00032939664700000420
Adopting zero forcing precoding to decode the precoding matrix of the terminal ID user for the kth wireless information
Figure BDA00032939664700000421
In a compensation matrix
Figure BDA00032939664700000422
In the null space of (a);
respectively get about
Figure BDA00032939664700000423
The correlation distribution of (a) is:
Figure BDA0003293966470000051
Figure BDA0003293966470000052
wherein,
Figure BDA0003293966470000053
representing a codebook size of
Figure BDA0003293966470000054
Channel average quantization error when quantizing a channel, lEFor the average gain of the channel g,
Figure BDA0003293966470000055
a chi-square distribution of dimension N.
Preferably, the method for optimally constructing the mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH includes:
the energy harvesting terminal EH reaches the minimum required energy QEThe minimum required feedback bandwidth is then:
Figure BDA0003293966470000056
when the number of users K of the wireless information decoding terminal IDIAt 1, the average transmission rate of the wireless information decoding terminal ID is represented as:
Figure BDA0003293966470000057
wherein, κ1＝PIlI(1-δ)、τ1＝PElEδ；
When the number of users K of the wireless information decoding terminal IDIWhen the transmission rate of the kth wireless information decoding terminal ID is more than or equal to 2, the average transmission rate of the kth wireless information decoding terminal ID is expressed as:
Figure BDA0003293966470000058
wherein,
Figure BDA0003293966470000059
Figure BDA00032939664700000510
β2＝PElEδ；
constructing an optimal objective function with respect to a maximum average transmission rate of the wireless information decoding terminal ID as:
Figure BDA0003293966470000061
and the constraint conditions are as follows:
KIsatisfy the requirement of
Figure BDA0003293966470000062
Preferably, the method for adaptively selecting the optimal wireless information decoding terminal ID according to the optimized mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH includes:
will KIValue from 1 to NTThe values of-1 are substituted into the optimal objective function formula (8) in order from small to large to obtain the corresponding f (K)I) A value of (d);
rejecting K that does not satisfy the constraint formula (9)IAfter the value, satisfy from the remainderF (K) is determined from KI value of the constraint formula (9)I) The KI value having the largest value is used as the selected optimal wireless information decoding terminal ID.
In the embodiment of the application, for a transmission system combining energy transmission and wireless communication, a user selection method for a multi-user wireless energy transmission system is provided, which uses the maximum average transmission rate of the wireless information decoding terminal ID as an objective function and meets the minimum required energy Q collected by the energy collection terminal EHEThe constraint condition of (2) that a mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is constructed; then, quantizing and pre-coding the energy acquisition terminal EH and the receiving channel of the wireless information decoding terminal ID respectively; then, according to the energy collection terminal EH and the wireless information decoding terminal ID after re-precoding, optimizing a mathematical model between the wireless information decoding terminal ID and the energy collection terminal EH, and based on the optimized mathematical model between the wireless information decoding terminal ID and the energy collection terminal EH, performing self-adaptive selection on an optimal wireless information decoding terminal ID.
The low-complexity precoding algorithm provided by the method realizes the purpose of ensuring that the acquired energy of the energy acquisition terminal is greater than a threshold value QEOn the premise of maximizing the total transmission rate of the information decoding terminal, the channel quantization precision is improved. Meanwhile, the number of the EH users at the energy acquisition terminal is deduced to be 1, and the number of the ID users at the wireless information decoding terminal is deduced to be KIAn optimal objective function of the time maximum average transmission rate; by adopting the optimal objective function, under the condition that the total feedback bandwidth is fixed, the optimal objective function can be selected by aiming at self-adaptive users under different parameter configurations so as to achieve the maximum value of the total transmission rate of the wireless information decoding terminal ID users.
Drawings
Fig. 1 is a schematic flow diagram of a user selection method for a multi-user wireless energy transmission system provided herein;
fig. 2 is a graph of simulation results.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that references in the specification to "one embodiment," "an example embodiment," etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not intended to refer to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the art to effect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
Moreover, where certain terms are used throughout the description and following claims to refer to particular components or features, those skilled in the art will understand that manufacturers may refer to a component or feature by different names or terms. This specification and the claims that follow do not intend to distinguish between components or features that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. In addition, the term "connected" as used herein includes any direct and indirect electrical connection. Indirect electrical connection means including connection by other means
Referring to fig. 1, fig. 1 shows a flow chart of a user selection method for a multi-user wireless energy transmission system. The multi-user wireless energy transmission system is assumed to comprise a wireless access node AP, and the wireless access node AP and an energy acquisition terminal EH and K are simultaneously connectedIID information interaction of each wireless information decoding terminal; wherein the wireless access node AP is configured with NTA transmitting antenna, aAnd the energy acquisition terminal EH and the wireless information decoding terminal ID are both provided with a single receiving antenna. The self-adaptive user selection method for the system design specifically comprises the following steps:
s1: taking the maximum average transmission rate of the wireless information decoding terminal ID as an objective function and meeting the minimum required energy Q acquired by the energy acquisition terminal EHEThe constraint condition of (2) that a mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is constructed;
Figure BDA0003293966470000091
wherein h isiAnd g is a receiving channel of the wireless information decoding terminal ID and the energy collecting terminal EH respectively, and the dimensionality is 1 multiplied by NT，
Figure BDA0003293966470000092
Represents hiTransposed conjugate matrix of gHA transposed conjugate matrix representing g; v. ofiFor channel hiW is the transmission precoding of the channel g; ptotFor maximum transmit power constraint, P, of the wireless access point APEAnd PIRespectively the transmission power P distributed to the energy collecting terminal EH and the wireless information decoding terminal IDEAnd PIAnd satisfy PE+PI＝Ptot。
S2: and quantizing the receiving channels of the energy acquisition terminal EH and the wireless information decoding terminal ID respectively, and re-precoding according to the receiving channel information after the energy acquisition terminal EH and the wireless information decoding terminal ID are quantized. The method specifically comprises the following steps:
in a specific implementation, in an actual communication system, especially in a Frequency Division Duplex (FDD) system, it is difficult for the wireless access node AP to obtain ideal channel information, so in the actual wireless communication system, a codebook feedback mode is a common transmission mode of channel information, that is, a limited number of feedback bits are used to report channel informationChannel information. Make the maximum feedback bandwidth constraint that the base station can handle be BtotWherein, the energy collecting terminal EH user and the wireless information decoding terminal ID user respectively adopt BEAnd BI,kTo quantize the channel information to satisfy
Figure BDA0003293966470000093
The energy acquisition terminal EH and the wireless information decoding terminal ID respectively pre-store the code book generated offline
Figure BDA0003293966470000094
And
Figure BDA0003293966470000095
corresponding codebooks each include
Figure BDA0003293966470000096
And
Figure BDA0003293966470000097
a codeword vector.
Respectively obtaining actual channel information from the energy acquisition terminal EH and the wireless information decoding terminal ID through channel estimation, and quantizing a receiving channel according to a minimum Euclidean distance criterion, namely:
Figure BDA0003293966470000101
wherein,
Figure BDA0003293966470000102
and
Figure BDA0003293966470000103
respectively representing normalized receiving channel information g and hi，
Figure BDA0003293966470000104
And
Figure BDA0003293966470000105
respectively representing channels
Figure BDA0003293966470000106
And
Figure BDA0003293966470000107
the quantized received channel information.
The energy acquisition terminal EH and the wireless information decoding terminal ID respectively pass through
Figure BDA0003293966470000108
And
Figure BDA0003293966470000109
the binary bit sequence informs the quantized channel information of the wireless access node AP, and the wireless access node AP receives the channel information according to the quantization
Figure BDA00032939664700001010
And
Figure BDA00032939664700001011
precoding and wireless transmission are performed.
Then, in order to suppress interference between the wireless information decoding terminal ID users and meet the energy collection requirement of the energy collection terminal EH users, the information of the receiving channel quantized by the energy collection terminal EH is received
Figure BDA00032939664700001012
Precoding a receiving channel g of the energy acquisition terminal EH as follows:
Figure BDA00032939664700001013
wherein,
Figure BDA00032939664700001014
representing transmission of the energy harvesting terminal EHA precoding matrix of the output rate W,
Figure BDA00032939664700001015
to be in a channel
Figure BDA00032939664700001016
Is projected onto, wherein
Figure BDA00032939664700001017
Is KIDecoding the aggregated channels of the terminal ID users with said wireless information,
Figure BDA00032939664700001018
representing a transposed conjugate matrix.
The precoding matrix represented by the above formula is at KIIn the null space of the wireless information decoding terminal ID user channel, the interference of the energy acquisition terminal EH wave beam to the wireless information decoding terminal ID user is eliminated, and the power of receiving energy is maximized in the residual dimension space.
Decoding the receiving channel information after the terminal ID quantization according to the wireless information
Figure BDA0003293966470000111
Adopting zero forcing precoding to decode the precoding matrix of the terminal ID user for the kth wireless information
Figure BDA0003293966470000112
In a compensation matrix
Figure BDA0003293966470000113
In the null space of (a);
respectively obtaining the correlation values by using the random vector quantization correlation properties
Figure BDA0003293966470000114
The correlation distribution of (a) is:
Figure BDA0003293966470000115
Figure BDA0003293966470000116
wherein,
Figure BDA0003293966470000117
representing a codebook size of
Figure BDA0003293966470000118
Channel average quantization error when quantizing a channel, lEFor the average gain of the channel g,
Figure BDA0003293966470000119
a chi-square distribution of dimension N.
Therefore, the application provides the low-complexity precoding algorithm aiming at the transmission system of hybrid energy transmission and wireless communication, and realizes the purpose of ensuring that the acquired energy of the energy acquisition terminal is greater than the threshold value QEOn the premise of (2), the total transmission rate of the information decoding terminal is maximized.
S3: and optimizing a constructed mathematical model between the ID of the wireless information decoding terminal and the EH according to the energy collection terminal EH subjected to re-precoding and the ID of the wireless information decoding terminal. The method specifically comprises the following steps:
in some embodiments, the energy harvesting terminal EH achieves the minimum required energy Q using channel-dependent propertiesEThe minimum required feedback bandwidth is then:
Figure BDA00032939664700001110
when the number of users K of the wireless information decoding terminal IDIAt 1, the average transmission rate of the wireless information decoding terminal ID is represented as:
Figure BDA00032939664700001111
wherein, κ1＝PIlI(1-δ)、τ1＝PElEδ。
At this time, the minimum feedback bit number corresponding to the required energy acquisition terminal EH user is:
Figure BDA0003293966470000121
when the number of users K of the wireless information decoding terminal IDIWhen the average transmission rate (ergodic capacity) of the kth wireless information decoding terminal ID is more than or equal to 2, the average transmission rate is expressed as:
Figure BDA0003293966470000122
wherein,
Figure BDA0003293966470000123
Figure BDA0003293966470000124
β2＝PElEδ；
in the case where the total feedback bandwidth is limited, then an optimal objective function regarding the maximum average transmission rate of the wireless information decoding terminal ID is constructed as:
Figure BDA0003293966470000125
and the constraint conditions are as follows:
KIsatisfy the requirement of
Figure BDA0003293966470000126
Therefore, the number of the EH users at the energy acquisition terminal is deduced to be 1, and the wireless information decoding terminalThe number of ID users is KIThe optimal objective function of the time maximum average transmission rate is obtained, and the energy Q required to be acquired is correspondingly obtainedEThe minimum number of feedback bits. By adopting the optimal objective function, the user selection can be self-adaptive under different parameter configurations so as to achieve the maximum value of the total transmission rate of the wireless information decoding terminal ID users.
S4: and according to the optimized mathematical model between the wireless information decoding terminal ID and the energy acquisition terminal EH, performing self-adaptive selection on the optimal wireless information decoding terminal ID.
In some embodiments, K isIValue from 1 to NTThe values of-1 are substituted into the optimal objective function formula (9) from small to large to obtain the corresponding f (K)I) A value of (d);
then, eliminating K which does not satisfy the constraint condition formula (10)IAfter the value, K satisfying the constraint condition is remainedIDetermining the value of f (K)I) K with the largest valueIThe value is used as the selected optimal wireless information decoding terminal ID.
FIG. 2 is a diagram showing simulation results of the user selection method for the multi-user wireless energy transmission system, in which the total transmission rate of the wireless information decoding terminal ID is shown along with the total feedback bit BtotThe variation of (2). As can be seen from fig. 2, in the case where the number of wireless information decoding terminal ID users is fixed, the total transmission rate follows BtotIs increased, indicating that the channel quantization accuracy is increased, improving the system performance. In addition, under the condition that the total feedback bandwidth is fixed, the self-adaptive user selection mechanism of the application can always reach the maximum value of the total transmission rate.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.
In summary, the present application provides a user selection method for a multi-user wireless energy transmission system for a transmission system combining energy transmission and wireless communication, wherein the maximum average transmission rate of the wireless information decoding terminal ID is used as an objective function, and the minimum required energy Q collected by the energy collecting terminal EH is satisfiedEThe constraint condition of (2) that a mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is constructed; then, quantizing and pre-coding the energy acquisition terminal EH and the receiving channel of the wireless information decoding terminal ID respectively; then, according to the energy collection terminal EH and the wireless information decoding terminal ID after re-precoding, optimizing a mathematical model between the wireless information decoding terminal ID and the energy collection terminal EH, and based on the optimized mathematical model between the wireless information decoding terminal ID and the energy collection terminal EH, performing self-adaptive selection on an optimal wireless information decoding terminal ID. The low-complexity precoding algorithm provided by the method realizes the purpose of ensuring that the acquired energy of the energy acquisition terminal is greater than a threshold value QEOn the premise of maximizing the total transmission rate of the information decoding terminal, the channel quantization precision is improved. Meanwhile, the number of the EH users at the energy acquisition terminal is deduced to be 1, and the number of the ID users at the wireless information decoding terminal is deduced to be KIAn optimal objective function of the time maximum average transmission rate; by adopting the optimal objective function, under the condition that the total feedback bandwidth is fixed, the optimal objective function can be selected by aiming at self-adaptive users under different parameter configurations so as to achieve the maximum value of the total transmission rate of the wireless information decoding terminal ID users.
The present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof, and it should be understood that various changes and modifications can be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (6)

1. A kind ofUser selection method for multi-user wireless energy transmission system, the system comprises a wireless access point AP, the wireless access point AP and an energy collection terminal EH and K simultaneouslyIID information interaction of each wireless information decoding terminal; wherein the wireless access node AP is configured with NTThe energy acquisition terminal EH and the wireless information decoding terminal ID are both provided with a single receiving antenna; the method is characterized in that:
the method comprises the following steps:
taking the maximum average transmission rate of the wireless information decoding terminal ID as an objective function and meeting the minimum required energy Q acquired by the energy acquisition terminal EHEThe constraint condition of (2) that a mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is constructed;
quantizing the receiving channels of the energy acquisition terminal EH and the wireless information decoding terminal ID respectively, and re-precoding according to the receiving channel information after the energy acquisition terminal EH and the wireless information decoding terminal ID are quantized;
according to the energy acquisition terminal EH subjected to re-precoding and the wireless information decoding terminal ID, optimizing a mathematical model which is constructed between the wireless information decoding terminal ID and the energy acquisition terminal EH;
and according to the optimized mathematical model between the wireless information decoding terminal ID and the energy acquisition terminal EH, performing self-adaptive selection on the optimal wireless information decoding terminal ID.
2. The user selection method for the multi-user wireless energy transmission system according to claim 1, wherein the constructing of the mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is:
Figure FDA0003293966460000021
wherein h isiAnd g is the wireless information solution respectivelyThe code terminal ID and the receiving channel of the energy acquisition terminal EH have the dimension of 1 multiplied by NT，
Figure FDA0003293966460000022
Represents hiTransposed conjugate matrix of gHA transposed conjugate matrix representing g; v. ofiFor channel hiW is the transmission precoding of the channel g; ptotFor maximum transmit power constraint, P, of the wireless access point APEAnd PIRespectively the transmission power P distributed to the energy collecting terminal EH and the wireless information decoding terminal IDEAnd PIAnd satisfy PE+PI＝Ptot。
3. The user selection method for the multi-user wireless energy transmission system according to claim 2, wherein the method for quantizing the receiving channels of the energy harvesting terminal EH and the wireless information decoding terminal respectively is:
the energy acquisition terminal EH and the wireless information decoding terminal ID respectively pre-store the code book generated offline
Figure FDA0003293966460000023
And
Figure FDA0003293966460000024
b is adopted by the energy acquisition terminal EH and the wireless information decoding terminal ID respectivelyEAnd BI，kRepresenting quantized channel information, the corresponding codebooks each comprising
Figure FDA0003293966460000025
And
Figure FDA0003293966460000026
the maximum feedback bandwidth constraint which can be processed by the base station is BtotAnd satisfy
Figure FDA0003293966460000027
Respectively obtaining actual channel information from the energy acquisition terminal EH and the wireless information decoding terminal ID through channel estimation, and quantizing a receiving channel according to a minimum Euclidean distance criterion, namely:
Figure FDA0003293966460000028
wherein,
Figure FDA0003293966460000029
and
Figure FDA00032939664600000210
respectively representing normalized receiving channel information g and hi，
Figure FDA00032939664600000211
And
Figure FDA00032939664600000212
respectively representing channels
Figure FDA0003293966460000031
And
Figure FDA0003293966460000032
receiving channel information after quantization;
the wireless access node AP receives the channel information according to the quantization
Figure FDA0003293966460000033
And
Figure FDA0003293966460000034
precoding and wireless transmission are performed.
4. The user selection method for a multi-user wireless energy transmission system according to claim 3, wherein:
receiving channel information after EH quantization according to the energy acquisition terminal
Figure FDA0003293966460000035
And precoding the transmission of the receiving channel g of the energy acquisition terminal EH into:
Figure FDA0003293966460000036
wherein,
Figure FDA0003293966460000037
a transmit precoding matrix representing the energy harvesting terminals EH,
Figure FDA0003293966460000038
to be in a channel
Figure FDA0003293966460000039
Is projected onto, wherein
Figure FDA00032939664600000310
Is KIDecoding the aggregated channels of the terminal ID users with said wireless information,
Figure FDA00032939664600000311
representing a transposed conjugate matrix;
decoding the receiving channel information after the terminal ID quantization according to the wireless information
Figure FDA00032939664600000312
Adopting zero forcing precoding to decode the precoding matrix of the terminal ID user for the kth wireless information
Figure FDA00032939664600000313
In a compensation matrix
Figure FDA00032939664600000314
In the null space of (a);
respectively get about
Figure FDA00032939664600000315
The correlation distribution of (a) is:
Figure FDA00032939664600000316
Figure FDA00032939664600000317
wherein,
Figure FDA00032939664600000318
representing a codebook size of
Figure FDA00032939664600000319
Channel average quantization error when quantizing a channel, lEFor the average gain of the channel g,
Figure FDA00032939664600000320
a chi-square distribution of dimension N.
5. The user selection method for the multi-user wireless energy transmission system according to claim 4, wherein the method for optimally constructing the mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH is:
the energy harvesting terminal EH reaches the minimum required energy QEThe minimum required feedback bandwidth is then:
Figure FDA0003293966460000041
when the number of users K of the wireless information decoding terminal IDIAt 1, the average transmission rate of the wireless information decoding terminal ID is represented as:
Figure FDA0003293966460000042
wherein, κ1＝PIlI(1-δ)、τ1＝PElEδ；
When the number of users K of the wireless information decoding terminal IDIWhen the transmission rate of the kth wireless information decoding terminal ID is more than or equal to 2, the average transmission rate of the kth wireless information decoding terminal ID is expressed as:
Figure FDA0003293966460000043
wherein,
Figure FDA0003293966460000044
Figure FDA0003293966460000045
β2＝PElEδ；
constructing an optimal objective function with respect to a maximum average transmission rate of the wireless information decoding terminal ID as:
Figure FDA0003293966460000046
and the constraint conditions are as follows:
KIsatisfy the requirement of
Figure FDA0003293966460000047
6. The user selection method for the multi-user wireless energy transmission system according to claim 5, wherein the method for adaptively selecting the optimal wireless information decoding terminal ID according to the optimized mathematical model between the wireless information decoding terminal ID and the energy harvesting terminal EH comprises:
will KIValue from 1 to NTThe values of-1 are substituted into the optimal objective function formula (8) in order from small to large to obtain the corresponding f (K)I) A value of (d);
rejecting K that does not satisfy the constraint formula (9)IAfter the value, K satisfying the constraint condition formula (9) is leftIDetermining the value of f (K)I) K with the largest valueIThe value is used as the selected optimal wireless information decoding terminal ID.
CN202111172809.9A 2021-10-08 2021-10-08 User selection method for multi-user wireless energy transmission system Active CN114124179B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111172809.9A CN114124179B (en) 2021-10-08 2021-10-08 User selection method for multi-user wireless energy transmission system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111172809.9A CN114124179B (en) 2021-10-08 2021-10-08 User selection method for multi-user wireless energy transmission system

Publications (2)

Publication Number Publication Date
CN114124179A true CN114124179A (en) 2022-03-01
CN114124179B CN114124179B (en) 2022-12-23

Family

ID=80441369

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111172809.9A Active CN114124179B (en) 2021-10-08 2021-10-08 User selection method for multi-user wireless energy transmission system

Country Status (1)

Country Link
CN (1) CN114124179B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105681110A (en) * 2016-03-16 2016-06-15 重庆邮电大学 Wireless energy-carrying network joint network selection and resource distribution method based on secure transmission
CN107241180A (en) * 2017-06-14 2017-10-10 南京大学 A kind of efficient resource allocation method for supporting information and energy simultaneous interpretation
US20190296810A1 (en) * 2004-04-02 2019-09-26 Rearden, Llc Systems and methods to coordinate transmissions in distributed wireless systems via user clustering
CN111245484A (en) * 2020-01-13 2020-06-05 电子科技大学中山学院 Multidimensional resource joint scheduling optimization method for wireless energy transmission network
CN112702792A (en) * 2020-12-22 2021-04-23 杭州电子科技大学 Wireless energy-carrying network uplink and downlink resource joint allocation method based on GFDM
CN113067787A (en) * 2021-03-26 2021-07-02 苏州昇鑫铭达信息科技有限公司 Wireless energy transmission system precoding method based on limited feedback
WO2021154610A1 (en) * 2020-01-30 2021-08-05 Idac Holdings, Inc. Method of network-assisted beamformed energy harvesting signaling and corresponding apparatus

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190296810A1 (en) * 2004-04-02 2019-09-26 Rearden, Llc Systems and methods to coordinate transmissions in distributed wireless systems via user clustering
CN105681110A (en) * 2016-03-16 2016-06-15 重庆邮电大学 Wireless energy-carrying network joint network selection and resource distribution method based on secure transmission
CN107241180A (en) * 2017-06-14 2017-10-10 南京大学 A kind of efficient resource allocation method for supporting information and energy simultaneous interpretation
CN111245484A (en) * 2020-01-13 2020-06-05 电子科技大学中山学院 Multidimensional resource joint scheduling optimization method for wireless energy transmission network
WO2021154610A1 (en) * 2020-01-30 2021-08-05 Idac Holdings, Inc. Method of network-assisted beamformed energy harvesting signaling and corresponding apparatus
CN112702792A (en) * 2020-12-22 2021-04-23 杭州电子科技大学 Wireless energy-carrying network uplink and downlink resource joint allocation method based on GFDM
CN113067787A (en) * 2021-03-26 2021-07-02 苏州昇鑫铭达信息科技有限公司 Wireless energy transmission system precoding method based on limited feedback

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
SHIXIN LUO 等: "Capacity Region of MISO Broadcast Channel for Simultaneous Wireless Information and Power Transfer", 《IEEE TRANSACTIONS ON COMMUNICATIONS》 *
周雯等: "均值反馈下信息与能量传输系统的预编码设计", 《信号处理》 *
龙彦等: "基于能量采集认知无线网中的资源分配方案研究", 《通信学报》 *

Also Published As

Publication number Publication date
CN114124179B (en) 2022-12-23

Similar Documents

Publication Publication Date Title
US9020518B2 (en) Generalized codebook design method for limited feedback systems
US9473223B2 (en) Methods for optimal collaborative MIMO-SDMA
CN102308508B (en) Adaptive precoding codebooks for wireless communications
CN1937442B (en) Method and system for information transmission in communication system
EP2340621B1 (en) Channel-assisted iterative precoder selection
US8976759B2 (en) Multi-user downlink linear MIMO precoding system
US7961807B2 (en) Reference signaling scheme using compressed feedforward codebooks for multi-user, multiple input, multiple output (MU-MIMO) systems
CN102342143B (en) System and method for channel information feedback in a wireless communications system
US8199836B2 (en) Multi-resolution precoding codebook
CN102369673B (en) Mimo beamforming method and method of constructing a differential codebook for a wireless network
WO2004040690A2 (en) Low complexity beamformers for multiple transmit and receive antennas
WO2020088489A1 (en) Channel Prediction for Adaptive Channel State Information (CSI) Feedback Overhead Reduction
EP1919097B1 (en) Codebook generator, codebook and method for generating update matrices to be used in a precoding scheme with MIMO transmission
KR101481391B1 (en) Channel state information feedback method and system thereof
US20120275535A1 (en) Codebook Method for a Multiple Input Multiple Output Wireless System
US9225408B2 (en) Method for increasing quality of signals received by at least one destination device among a plurality
CN114124179B (en) User selection method for multi-user wireless energy transmission system
CN101577687B (en) Feedback control method and communication system as well as related apparatus
Choi et al. Noncoherent trellis-coded quantization for massive MIMO limited feedback beamforming
CN101826941B (en) The feedback method of channel quantitative information and device
CN108242950B (en) D2D-based CSI feedback method in FDD Massive MIMO network
WO2022175098A1 (en) System and method for uplink coordinated transmission in an open radio access network
CN109379123B (en) Space-time correlation channel self-adaptive differential precoding codebook design method
CN108183737A (en) For the transmission based on gold code in MIMO downlink systems and coding/decoding method
CN118174756B (en) Random signal system-oriented general sense integrated precoding method, equipment and medium

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