CN110831036A - Energy efficiency optimization method and system for multi-user EH distributed base station - Google Patents
Energy efficiency optimization method and system for multi-user EH distributed base station Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
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Abstract
The invention provides an energy efficiency optimization method and system of a multi-user EH distributed base station, which comprises the following steps: the remote antenna device collects energy and transmits the collected energy to the energy sharing storage device; the energy sharing and storing device stores energy transmitted by the plurality of remote antenna devices to obtain total energy; the baseband processing device obtains total emission power according to the total energy, obtains total energy efficiency according to the total emission power, determines emission parameters of each remote antenna device serving the user device, and obtains optimization conditions for optimizing the total energy efficiency according to the emission parameters. The energy collected by each remote antenna device is stored through the energy sharing and storing device, the total power and the total energy efficiency are determined through the energy level of the energy sharing and storing device, the transmitting parameters of the remote antenna devices serving the user device are calculated, and the optimizing conditions for optimizing the total energy efficiency are obtained through the transmitting parameters, so that the total energy efficiency optimization is realized, and the overall performance of the system is improved.
Description
Technical Field
The invention mainly relates to the technical field of wireless communication, in particular to an energy efficiency optimization method and system for a multi-user EH distributed base station.
Background
In view of the adverse effects of the communication system such as greenhouse effect caused by consuming too much energy, the energy efficiency of wireless communication is getting more and more attention, and it is desired to maximize the data transmission rate per unit energy. Meanwhile, energy harvesting technology (EH) that obtains energy from renewable energy sources such as solar energy, wind energy, thermal energy, and radio frequency energy can drive communication devices and networks, presenting bright prospects for implementing green communications.
The distributed base station system is easy to deploy, the remote antenna device has low power consumption and small size, the distance between a user and an antenna is shortened, the system capacity is greatly improved, and the coverage rate of the edge of a cell is improved. The distributed system can also support emerging communication technologies, which is particularly important for future wireless communication development. In view of the current research situation of the distributed base station system, the research on the working mechanism of the distributed base station system in the multi-user scene is still in the beginning stage, the traditional research on the multi-user distributed base station system needs to consider the energy collection condition, the problem of limited energy collection exists, and the research difficulty of the energy efficiency problem of the multi-user EH distributed base station system is increased.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for optimizing energy efficiency of a multi-user EH distributed base station, aiming at the defects of the prior art.
The technical scheme for solving the technical problems is as follows: a method for optimizing the energy efficiency of a multi-user EH distributed base station comprises the following steps:
at least one remote antenna device collects energy and transmits the collected energy to an energy-sharing storage device;
the energy sharing and storing device stores energy transmitted by at least one remote antenna device to obtain total energy;
the baseband processing device obtains total emission power according to the total energy, obtains total energy efficiency according to the total emission power, determines emission parameters of each remote antenna device serving at least one user device, and obtains optimization conditions for optimizing the total energy efficiency according to the emission parameters;
the user device receives the signal transmitted by the remote antenna device and divides the signal into two parts, wherein the first part is used for information decoding and the second part is used for energy collection.
The invention has the beneficial effects that: the energy collected by each remote antenna device is stored through the energy sharing and storing device, the total power and the total energy efficiency are determined through the energy level of the energy sharing and storing device, the transmitting parameters of the remote antenna device serving the user device are calculated, and the optimization conditions for optimizing the total energy efficiency are obtained through the transmitting parameters, so that the total energy efficiency optimization is realized, the overall performance of the system is improved, and the practical value is better.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the obtaining total emission power according to the total energy, and obtaining total energy efficiency according to the total emission power includes:
converting the total energy into total transmission power P, where the number of remote antenna devices is M, M remote antenna devices form a set Φ ═ 1, 2.. multidata, M }, N user devices form a user device set U ═ 1, 2.. multidata, N }, each of the remote antenna devices is configured with L antennas, and the kth antenna of each of the remote antenna devices serves the kth user device, N · is, to which the remote antenna device belongsiN is greater than or equal to 0 and is the number of user devices of the ith remote antenna devicei< L and
and is provided with piThe transmission power, τ, allocated to the ith of said remote antenna devices for said energy-sharing storage deviceikEnergy distribution factor of kth user equipment serving ith remote antenna device, 0 ≦ τikLess than or equal to 1 andthe transmission power allocated to the kth user equipment by the ith remote antenna unit is pik＝piτikAnd is
And setting the minimum user equipment rate required by the kth user equipment served by the ith remote antenna device to be
The actual user equipment rate of the kth user equipment served by the ith remote antenna apparatus is RikThen the total energy efficiency is
The beneficial effect of adopting the further scheme is that: and determining the total power through the energy level of the energy sharing and storing device, and calculating the total energy efficiency through the actual user rate and the total power.
Further, the determining transmit parameters for each of the remote antenna units to serve a user device comprises:
the transmission parameters include energy serving the user device and an actual user device rate, and energy E collected by a kth user device served by an ith remote antenna device is calculated according to a first patternikThe first formula is:
and calculating an actual user equipment rate R of a kth user equipment served by the ith remote antenna apparatus according to a second equationikAnd the second formula is as follows:
wherein ξ is the energy conversion efficiency and is more than 0 and less than or equal to ξ and less than or equal to 1, rhoikA power splitting ratio of 0 ≦ ρ for a kth user equipment serving an ith remote antenna apparatusik≤1，pikTransmission power, h, allocated to the kth user equipment for the ith remote antenna deviceikChannel coefficients for the kth antenna of the ith remote antenna unit to the serving kth user device link,
is a constant of the variance, and is,
and
is a variance constant. .
The beneficial effect of adopting the further scheme is that: and calculating transmission parameters, wherein the transmission parameters comprise energy serving the user device and the actual user device rate, and obtaining an optimization condition for optimizing the total energy efficiency through the transmission parameters.
Further, the obtaining of the optimized condition for optimizing the total energy efficiency according to the emission parameter includes:
setting the total energy efficiency to a maximum total energy efficiency
And the optimization conditions are met, and the optimization conditions comprise:
0≤τikless than or equal to 1 and
0≤ρik≤1，
0≤Ni＜L，
wherein P is the total power, M is the number of remote antenna devices, L is the number of antennas configured for the remote antenna devices, RikIs the ith farThe actual user device rate for the kth user device served by the antenna device,
minimum user equipment rate required for the kth user equipment serving the ith remote antenna apparatus, EikThe energy collected for the kth user device serving the ith remote antenna device,minimum energy collection required for kth user device serving ith remote antenna device, piThe transmission power, p, allocated to the ith remote antenna device for the energy-sharing storage deviceikThe transmission power, τ, allocated to the kth user equipment for the ith remote antenna unitikEnergy allocation factor, N, for the kth user device serving the ith remote antenna deviceiThe number of user devices that are the ith remote antenna device.
The beneficial effect of adopting the further scheme is that: and optimizing the total energy efficiency through each optimization condition to obtain the maximum total energy efficiency.
Another technical solution of the present invention for solving the above technical problems is as follows: an energy efficiency optimization system for a multi-user EH distributed base station, comprising an energy-sharing storage device, a baseband processing device, at least one remote antenna device, and at least one user device:
at least one of the remote antenna devices for harvesting energy and transferring the harvested energy to an energy-sharing storage device;
the energy sharing and storing device is used for storing energy transmitted by the plurality of remote antenna devices to obtain total energy;
the baseband processing device is configured to obtain total transmission power according to the total energy, obtain total energy efficiency according to the total transmission power, determine a transmission parameter for each remote antenna device to serve at least one user device, and obtain an optimization condition for optimizing the total energy efficiency according to the transmission parameter;
the user device is used for receiving the signal transmitted by the remote antenna device and dividing the signal into two parts, wherein the first part is used for information decoding, and the second part is used for energy collection.
The invention has the beneficial effects that: the energy collected by each remote antenna device is stored through the energy sharing and storing device, the total power and the total energy efficiency are determined through the energy level of the energy sharing and storing device, the transmitting parameters of the remote antenna device serving the user device are calculated, and the optimization conditions for optimizing the total energy efficiency are obtained through the transmitting parameters, so that the total energy efficiency optimization is realized, the overall performance of the system is improved, and the practical value is better.
Drawings
Fig. 1 is a schematic flow chart of an energy efficiency optimization method according to an embodiment of the present invention;
fig. 2 is a functional module schematic diagram of an energy efficiency optimization device according to an embodiment of the present invention.
In the drawings, the names of the components represented by the respective symbols are as follows:
101. energy sharing storage device 102, baseband processing device 103, remote antenna device 104, user device.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a schematic flow chart of an energy efficiency optimization method according to an embodiment of the present invention.
The invention provides a communication method combining collected energy sharing and energy efficiency optimization, which can be applied to distributed base station system deployment based on energy collection and has scientific significance and practical value.
As shown in fig. 1, a method for optimizing energy efficiency of a multi-user EH distributed base station includes the following steps:
s1: at least one remote antenna device collects energy and transmits the collected energy to an energy-sharing storage device;
s2: the energy sharing and storing device stores energy transmitted by at least one remote antenna device to obtain total energy;
s3: the baseband processing device obtains total emission power according to the total energy, obtains total energy efficiency according to the total emission power, determines emission parameters of each remote antenna device serving at least one user device, and obtains optimization conditions for optimizing the total energy efficiency according to the emission parameters;
the user device receives the signal transmitted by the remote antenna device and splits the signal into two portions, wherein the first portion is used for information decoding and the second portion is used for energy harvesting S4.
It should be understood that the remote antenna apparatus serves the user apparatus to transmit the signal, and the user apparatus divides the signal into two parts and distributes the two parts in the existing manner, which will not be further described.
In particular, the remote antenna device comprises a plurality of antennas through which energy is collected.
It should be understood that the energy-sharing storage device is on the same side as the baseband processing device.
In the above embodiment, the energy collected by each remote antenna device is stored by the energy sharing and storing device, the total power and the total energy efficiency are determined by the energy level of the energy sharing and storing device, the transmitting parameters of the remote antenna device serving the user device are calculated, and the optimization condition for optimizing the total energy efficiency is obtained by the transmitting parameters, so that the total energy efficiency optimization is realized, the overall performance of the system is improved, and the practical value is better.
Optionally, as an embodiment of the present invention, the obtaining total emission power according to the total energy, and obtaining total energy efficiency according to the total emission power includes:
converting the total energy into total transmission power P, where the number of remote antenna devices is M, M remote antenna devices form a set Φ ═ 1, 2.. multidata, M }, N user devices form a set U ═ 1, 2.. multidata, N }, each of the remote antenna devices is configured with L antennas, and the kth antenna of each of the remote antenna devices serves as a service antennaAt the kth subscriber device, NiN is greater than or equal to 0 and is the number of user devices of the ith remote antenna devicei< L and
and is provided with piThe transmission power, τ, allocated to the ith of said remote antenna devices for said energy-sharing storage deviceikEnergy distribution factor of kth user equipment serving ith remote antenna device, 0 ≦ τikLess than or equal to 1 and
the transmission power allocated to the kth user equipment by the ith remote antenna unit is pik＝piτikAnd is
And setting the minimum user equipment rate required by the kth user equipment served by the ith remote antenna device to be
The actual user equipment rate of the kth user equipment served by the ith remote antenna apparatus is RikThen the total energy efficiency is
It should be understood that the loss of energy in transmission is ignored for simplicity of analysis.
In the above embodiment, the total power is determined by the energy level of the energy-sharing storage device itself, and the total energy efficiency is calculated by the actual user device rate and the total power.
Optionally, as an embodiment of the present invention, the calculating the transmission parameter of each remote antenna apparatus serving the user apparatus includes:
assume that a wireless data and power simultaneous transfer (SWIPT) technique is employed between a remote antenna unit and a user equipment device, which is an apparatus employing a power splitting technique.
Said determining transmission parameters for each of said remote antenna units serving a user device comprises:
the transmission parameters include energy serving the user device and an actual user device rate, and energy E collected by a kth user device served by an ith remote antenna device is calculated according to a first patternikThe first formula is:
and calculating an actual user equipment rate R of a kth user equipment served by the ith remote antenna apparatus according to a second equationikAnd the second formula is as follows:
wherein ξ is the energy conversion efficiency and is more than 0 and less than or equal to ξ and less than or equal to 1, rhoikA power splitting ratio of 0 ≦ ρ for a kth user equipment serving an ith remote antenna apparatusik≤1，pikTransmission power, h, allocated to the kth user equipment for the ith remote antenna deviceikChannel coefficients for the kth antenna of the ith remote antenna unit to the serving kth user device link,
is a constant of the variance, and is,
and
is a variance constant.
Specifically, it is assumed that a wireless data and power simultaneous transmission (SWIPT) technology is adopted between the remote antenna apparatus and the user apparatus, the user apparatus is a device adopting a power splitting technology, and a power splitting ratio of a kth user apparatus served by an ith remote antenna apparatus is ρik(0≤ρikLess than or equal to 1). Then, the signal received by the kth user equipment served by the ith remote antenna apparatus is
The data signal received by the kth user device served by the ith remote antenna device is
The energy signal received by the kth user device served by the ith remote antenna device is
nikA zero mean, variance of a kth user equipment serving an ith remote antenna apparatus of
Is a white additive gaussian noise of (1),
a zero mean, variance of a kth user equipment serving an ith remote antenna apparatus of
Is a white additive gaussian noise of (1),
a zero mean, variance of a kth user equipment serving an ith remote antenna apparatus of
Additive white Gaussian noise of hikChannel coefficient, x, for the k antenna of the ith remote antenna unit to the k user device link serving the remote antenna unitikFor the signal transmitted by the kth antenna of the ith remote antenna unit. From this, the first and second formulae can be obtained.
In the above embodiment, the transmission parameters are calculated, and the transmission parameters include the energy serving the user device and the actual user device rate, and the optimization condition for optimizing the total energy efficiency is obtained by the transmission parameters. The method of the invention simultaneously considers the SWIPT technology, and can determine a plurality of optimized parameters of the multi-user device EH distributed base station system adopting the SWIPT technology through solving the optimization problem, thereby improving the overall performance of the system and having better practical value.
Optionally, as an embodiment of the present invention, the obtaining an optimization condition for optimizing the total energy efficiency according to the transmission parameter includes:
setting the total energy efficiency to a maximum total energy efficiency
And the optimization conditions are met, and the optimization conditions comprise:
0≤τikless than or equal to 1 and
0≤ρik≤1，
0≤Ni＜L，
wherein P is the total power, M is the number of remote antenna devices, L is the number of antennas configured for the remote antenna devices, RikThe actual user device rate for the kth user device serving the ith remote antenna device,
minimum user equipment rate required for the kth user equipment serving the ith remote antenna apparatus, EikThe energy collected for the kth user device serving the ith remote antenna device,minimum energy collection required for kth user device serving ith remote antenna device, piThe transmission power, p, allocated to the ith remote antenna device for the energy-sharing storage deviceikThe transmission power, τ, allocated to the kth user equipment for the ith remote antenna unitikEnergy allocation factor, N, for the kth user device serving the ith remote antenna deviceiThe number of user devices that are the ith remote antenna device. P can be obtained by solving the above optimization problemik、ρikThere are various methods for solving the optimization problem and the optimization value of the parameter (power splitting ratio), which are not described herein.
In the above embodiment, the total energy efficiency is optimized by each optimization condition, so that the maximum total energy efficiency is obtained.
Fig. 2 is a functional module schematic diagram of an energy efficiency optimization device according to an embodiment of the present invention.
Optionally, as an embodiment of the present invention, as shown in fig. 2, a system for energy efficiency optimization of a multi-user device EH distributed base station includes an energy-sharing storage device 101, a baseband processing device 102, at least one remote antenna device 103, and at least one user device 104:
at least one remote antenna device 103 for harvesting energy and transmitting the harvested energy to the energy-sharing storage device 101;
the energy sharing and storing device 101 is configured to store energy transmitted by the multiple remote antenna devices 103, so as to obtain total energy;
the baseband processing device 102 is configured to obtain total transmission power according to the total energy, obtain total energy efficiency according to the total transmission power, determine a transmission parameter for each remote antenna device to serve at least one user device, and obtain an optimization condition for optimizing the total energy efficiency according to the transmission parameter;
the user device 104 is configured to receive the signal transmitted by the remote antenna device and divide the signal into two parts, wherein the first part is used for information decoding and the second part is used for energy collection.
In particular, the remote antenna device comprises a plurality of antennas through which energy is collected.
It should be understood that the energy-sharing storage device is on the same side as the baseband processing device.
It should also be understood that each remote antenna device 103 may serve one user device 104, or may serve multiple user devices 104, and the arrangement is made according to the actual situation. Fig. 2 shows a case where the remote antenna apparatus 103 serves one user apparatus 104.
In the above embodiment, the energy collected by each remote antenna device is stored by the energy sharing and storing device, the total power and the total energy efficiency are determined by the energy level of the energy sharing and storing device, the transmitting parameters of the remote antenna device serving the user device are calculated, and the optimization condition for optimizing the total energy efficiency is obtained by the transmitting parameters, so that the total energy efficiency optimization is realized, the overall performance of the system is improved, and the practical value is better.
Optionally, as an embodiment of the present invention, the baseband processing apparatus 102 is specifically configured to:
converting the total energy into total transmission power P, where the number of remote antenna devices is M, M remote antenna devices form a set Φ ═ 1, 2.. multidata, M }, N user devices form a user device set U ═ 1, 2.. multidata, N }, each of the remote antenna devices is configured with L antennas, and the kth antenna of each of the remote antenna devices serves the kth user device, N · is, to which the remote antenna device belongsiThe number of user devices serving the ith remote antenna device is more than or equal to N and is more than or equal to 0i< L and
and is provided with piThe transmission power, τ, allocated to the ith of said remote antenna devices for said energy-sharing storage deviceikEnergy distribution factor of kth user equipment serving ith remote antenna device, 0 ≦ τikLess than or equal to 1 andthe transmission power allocated to the kth user equipment by the ith remote antenna unit is pik＝piτikAnd is
And setting the minimum user equipment rate required by the kth user equipment served by the ith remote antenna device to be
The actual user equipment rate of the kth user equipment served by the ith remote antenna apparatus is RikThen the total energy efficiency is
Optionally, as an embodiment of the present invention, the calculating the transmission parameter of each remote antenna device 103 serving the user device includes:
the transmit parameters include energy serving the user device and actual user device rate, and energy E of the kth user device served by the ith remote antenna device 103 is calculated according to the first patternikThe first formula is:
and calculates an actual user equipment rate R for a kth user equipment served by the ith remote antenna apparatus 103 according to a second equationikAnd the second formula is as follows:
wherein ξ is the energy conversion efficiency and is more than 0 and less than or equal to ξ and less than or equal to 1, rhoikA power splitting ratio of 0 ≦ ρ for a kth user device serving the ith remote antenna device 103ik≤1，pikThe transmission power, h, allocated to the kth user equipment for the ith remote antenna unit 103ikFor the channel coefficients of the kth antenna-to-serving kth user device link of the ith remote antenna device 103,is a constant of the variance, and is,and
is a variance constant.
Optionally, as an embodiment of the present invention, the obtaining an optimization condition for optimizing the total energy efficiency according to the transmission parameter includes:
setting the total energy efficiency to a maximum total energy efficiency
The optimization conditions include:
0≤τikless than or equal to 1 and
0≤ρik≤1，
0≤Ni＜L，
wherein P is the total power, M is the number of remote antenna devices, L is the number of antennas configured for the remote antenna devices, RikThe actual user device rate for the kth user device serving the ith remote antenna device,
minimum user equipment rate required for the kth user equipment serving the ith remote antenna apparatus, EikThe energy collected for the kth user device serving the ith remote antenna device,minimum energy collection required for kth user device serving ith remote antenna device, piThe transmission power, p, allocated to the ith remote antenna device for the energy-sharing storage deviceikThe transmission power, τ, allocated to the kth user equipment for the ith remote antenna unitikEnergy allocation factor, N, for the kth user device serving the ith remote antenna deviceiThe number of user devices that are the ith remote antenna device.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A method for optimizing energy efficiency of a multi-user EH distributed base station is characterized by comprising the following steps:
at least one remote antenna device collects energy and transmits the collected energy to an energy-sharing storage device;
the energy sharing and storing device stores energy transmitted by at least one remote antenna device to obtain total energy;
the baseband processing device obtains total emission power according to the total energy, obtains total energy efficiency according to the total emission power, determines emission parameters of each remote antenna device serving at least one user device, and obtains optimization conditions for optimizing the total energy efficiency according to the emission parameters;
the user device receives the signal transmitted by the remote antenna device and divides the signal into two parts, wherein the first part is used for information decoding and the second part is used for energy collection.
2. The method of claim 1, wherein the deriving a total power transmitted from the total energy and deriving a total energy efficiency from the total power transmitted comprises:
converting the total energy into total transmission power P, where the number of remote antenna devices is M, M remote antenna devices form a set Φ ═ 1, 2.. multidata, M }, N user devices form a user device set U ═ 1, 2.. multidata, N }, each of the remote antenna devices is configured with L antennas, and the kth antenna of each of the remote antenna devices serves the kth user device, N · is, to which the remote antenna device belongsiN is greater than or equal to 0 and is the number of user devices of the ith remote antenna devicei< L and
and is provided with piThe transmission power, τ, allocated to the ith of said remote antenna devices for said energy-sharing storage deviceikEnergy distribution factor of kth user equipment serving ith remote antenna device, 0 ≦ τikLess than or equal to 1 andthe transmission power allocated to the kth user equipment by the ith remote antenna unit is pik＝piτikAnd is
And setting the minimum user equipment rate required by the kth user equipment served by the ith remote antenna device to be
The actual user equipment rate of the kth user equipment served by the ith remote antenna apparatus is RikThen the total energy efficiency is
3. The method of claim 2, wherein determining the transmit parameters for each of the remote antenna units to serve the user device comprises:
the transmission parameters include energy serving the user device and an actual user device rate, and energy E collected by a kth user device served by an ith remote antenna device is calculated according to a first patternikThe first formula is:
and calculating an actual user equipment rate R of a kth user equipment served by the ith remote antenna apparatus according to a second equationikAnd the second formula is as follows:
wherein ξ is the energy conversion efficiency and is more than 0 and less than or equal to ξ and less than or equal to 1, rhoikA power splitting ratio of 0 ≦ ρ for a kth user equipment serving an ith remote antenna apparatusik≤1，pikTransmission power, h, allocated to the kth user equipment for the ith remote antenna deviceikChannel coefficients for the kth antenna of the ith remote antenna unit to the serving kth user device link,
is a constant of the variance, and is,
andis a variance constant.
4. The method of claim 3, wherein the deriving optimization conditions for the total energy efficiency optimization based on the transmission parameters comprises:
setting the total energy efficiency to a maximum total energy efficiency
And the optimization conditions are met, and the optimization conditions comprise:
0≤τikless than or equal to 1 and
0≤ρik≤1，
0≤Ni＜L，
wherein P is the total power, M is the number of remote antenna devices, L is the number of antennas configured for the remote antenna devices, RikThe actual user device rate for the kth user device serving the ith remote antenna device,
minimum user equipment rate required for the kth user equipment serving the ith remote antenna apparatus, EikThe energy collected for the kth user device serving the ith remote antenna device,
minimum energy collection required for kth user device serving ith remote antenna device, piThe transmission power, p, allocated to the ith remote antenna device for the energy-sharing storage deviceikThe transmission power, τ, allocated to the kth user equipment for the ith remote antenna unitikEnergy allocation factor, N, for the kth user device serving the ith remote antenna deviceiThe number of user devices that are the ith remote antenna device.
5. An energy efficiency optimization system of a multi-user EH distributed base station, comprising an energy-sharing storage device, a baseband processing device, at least one remote antenna device, and at least one user device:
at least one of the remote antenna devices for harvesting energy and transferring the harvested energy to an energy-sharing storage device;
the energy sharing and storing device is used for storing energy transmitted by the plurality of remote antenna devices to obtain total energy;
the baseband processing device is configured to obtain total transmission power according to the total energy, obtain total energy efficiency according to the total transmission power, determine a transmission parameter for each remote antenna device to serve at least one user device, and obtain an optimization condition for optimizing the total energy efficiency according to the transmission parameter;
the user device is used for receiving the signal transmitted by the remote antenna device and dividing the signal into two parts, wherein the first part is used for information decoding, and the second part is used for energy collection.
6. The energy efficiency optimization system of a multi-user EH distributed base station according to claim 5, wherein the baseband processing device is specifically configured to:
converting the total energy into total transmission power P, where the number of remote antenna devices is M, M remote antenna devices form a set Φ ═ 1, 2.. multidata, M }, N user devices form a user device set U ═ 1, 2.. multidata, N }, each of the remote antenna devices is configured with L antennas, and the kth antenna of each of the remote antenna devices serves the kth user device, N · is, to which the remote antenna device belongsiThe number of user devices serving the ith remote antenna device is more than or equal to N and is more than or equal to 0i< L and
and is provided with piThe transmission power, τ, allocated to the ith of said remote antenna devices for said energy-sharing storage deviceikEnergy distribution factor of kth user equipment serving ith remote antenna device, 0 ≦ τikLess than or equal to 1 and
the transmission power allocated to the kth user equipment by the ith remote antenna unit is pik＝piτikAnd is
And setting the minimum user equipment rate required by the kth user equipment served by the ith remote antenna device to be
The actual user equipment rate of the kth user equipment served by the ith remote antenna apparatus is RikThen the total energy efficiency is
7. The energy efficiency optimization system of a multi-user EH distributed base station according to claim 6, wherein the baseband processing device is specifically configured to:
the transmission parameters include energy serving the user device and an actual user device rate, and energy E collected by a kth user device served by an ith remote antenna device is calculated according to a first patternikThe first formula is:
and calculating an actual user equipment rate R of a kth user equipment served by the ith remote antenna apparatus according to a second equationikAnd the second formula is as follows:
wherein ξ is the energy conversion efficiency and is more than 0 and less than or equal to ξ and less than or equal to 1, rhoikA power splitting ratio of 0 ≦ ρ for a kth user equipment serving an ith remote antenna apparatusik≤1，pikTransmission power, h, allocated to the kth user equipment for the ith remote antenna deviceikChannel coefficients for the kth antenna of the ith remote antenna unit to the serving kth user device link,
is a constant of the variance, and is,and
is a variance constant.
8. The energy efficiency optimization system of a multi-user EH distributed base station of claim 7, wherein the deriving the optimization condition for the total energy efficiency optimization based on the transmission parameters comprises:
setting the total energy efficiency to a maximum total energy efficiency
The optimization conditions include:
0≤τikless than or equal to 1 and
0≤ρik≤1，
0≤Ni＜L，
wherein P is the total power, M is the number of remote antenna devices, L is the number of antennas configured for the remote antenna devices, RikThe actual user device rate for the kth user device serving the ith remote antenna device,
minimum user equipment rate required for the kth user equipment serving the ith remote antenna apparatus, EikThe energy collected for the kth user device serving the ith remote antenna device,
minimum energy collection required for kth user device serving ith remote antenna device, piThe transmission power, p, allocated to the ith remote antenna device for the energy-sharing storage deviceikThe transmission power, τ, allocated to the kth user equipment for the ith remote antenna unitikEnergy allocation factor, N, for the kth user device serving the ith remote antenna deviceiThe number of user devices that are the ith remote antenna device.
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