CN114828023B - Method and device for improving energy efficiency of communication system - Google Patents
Method and device for improving energy efficiency of communication system Download PDFInfo
- Publication number
- CN114828023B CN114828023B CN202210382691.0A CN202210382691A CN114828023B CN 114828023 B CN114828023 B CN 114828023B CN 202210382691 A CN202210382691 A CN 202210382691A CN 114828023 B CN114828023 B CN 114828023B
- Authority
- CN
- China
- Prior art keywords
- base station
- channel
- ris
- terminal device
- communication system
- 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.)
- Active
Links
- 238000004891 communication Methods 0.000 title claims abstract description 93
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012545 processing Methods 0.000 claims description 32
- 230000005540 biological transmission Effects 0.000 claims description 20
- 230000010363 phase shift Effects 0.000 claims description 16
- 239000011159 matrix material Substances 0.000 claims description 13
- 239000000654 additive Substances 0.000 claims description 6
- 230000000996 additive effect Effects 0.000 claims description 6
- 229940060587 alpha e Drugs 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 45
- 230000015654 memory Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 8
- 238000005457 optimization Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000003190 augmentative effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
-
- 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)
- Mobile Radio Communication Systems (AREA)
Abstract
The application provides a method and a device for improving the energy efficiency of a communication system, which are applied to the communication system and solve the problem of lower energy efficiency of the communication system. The method comprises the following steps: establishing a channel model between a base station and first terminal equipment; the channel characteristics corresponding to the channel model are related to the number N of phase control units used when the base station communicates with the first terminal equipment through the reconfigurable intelligent surface RIS; the RIS comprises M phase control units, wherein each phase control unit is used for reflecting signals received by the RIS; n is a positive integer less than or equal to M; m is a positive integer; obtaining channel capacity when the base station communicates with the first terminal equipment based on a channel model between the base station and the first terminal equipment; wherein the channel capacity is related to the channel characteristics corresponding to the channel model; and determining the number N of the corresponding phase control units of the communication system energy efficiency maximization under the condition that the channel capacity meets the preset constraint condition.
Description
Technical Field
The present application relates to the field of communications, and in particular, to a method and apparatus for improving energy efficiency of a communication system.
Background
In the environment of wireless communication, when there is an obstacle between a base station and a terminal device, the terminal device may not receive all signals transmitted by the base station. Under such a scene, reconfigurable intelligent surfaces (reconfigurable intelligent surface, RIS) can be deployed around the base station, and the received signals are reflected to the terminal equipment by utilizing the characteristic that the RIS can reflect the signals, so that the terminal equipment can receive all the signals sent by the base station, the problem of signal loss caused by obstruction is solved, and the communication quality of the base station and the terminal equipment is improved.
At present, RIS is still in an experimental stage, and research on RIS is mainly focused on improving performance optimization in aspects of data transmission rate, throughput and the like, but the energy efficiency of the whole communication system is lower.
Disclosure of Invention
The application provides a method and a device for improving the energy efficiency of a communication system, which improve the energy efficiency of the whole communication system by determining the number of phase control units used when a base station communicates with each terminal device through RIS.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, the present application provides a method for improving energy efficiency of a communication system, applied to the communication system, where the communication system includes a base station, a first terminal device, and an RIS, and the RIS includes M phased units, including: establishing a channel model between a base station and first terminal equipment; the channel model comprises a direct connection channel model between the base station and the first terminal equipment and a relay channel model for the base station to communicate with the first terminal equipment through the RIS, and the channel characteristics corresponding to the relay channel model are related to the number N of phase control units used when the base station communicates with the first terminal equipment through the RIS; n is a positive integer less than or equal to M; m is a positive integer; obtaining channel capacity when the base station communicates with the first terminal equipment based on the established channel model between the base station and the first terminal equipment; wherein, the channel capacity is related to the channel characteristics corresponding to the direct connection channel model and the channel characteristics corresponding to the relay channel model; and under the condition that the channel capacity meets the preset constraint condition, determining the number N of the phase control units corresponding to the energy efficiency maximization of the communication system.
With reference to the first aspect, in one possible implementation manner, the channel model satisfies:
wherein y represents a signal received by the first terminal device, s represents a signal transmitted by the base station, n represents noise, and the channel characteristics include: h is a b 、H br 、H r θ; wherein h is b Representing channel gain of the base station to the first terminal device; h br Representing base station to RIS channel gain matrix, H br The method comprises N components, wherein the N components respectively correspond to channel gains from a base station to N phase control units of RIS; h r Representing the channel gain matrix, H, of RIS to a first terminal device r Comprises N components, N components respectively corresponding to RISChannel gains from the N phase control units to the first terminal equipment; θ represents the phase shift of each of the N phased units of the RIS; p represents the transmit power of the base station.
With reference to the first aspect, in one possible implementation manner, a channel capacity R when the base station communicates with the first terminal device satisfies:
wherein p represents the transmitting power of the base station, alpha represents the amplitude reflection coefficient, and alpha epsilon (0, 1)]，H br (N) represents the channel gain from the base station to the nth of the N phased units in the RIS, H r (N) represents the channel gain of the nth of the N phased units in the RIS to the first terminal device, σ represents additive white gaussian noise, |H br (n)H r (n) | represents taking an absolute value.
With reference to the first aspect, in one possible implementation manner, determining, in a case where the channel capacity meets a preset constraint condition, the number N of phase control units corresponding to the maximization of the energy efficiency of the communication system includes:
the preset constraint conditions are as follows:the corresponding channel capacity when the data transmission rate of the communication system reaches the maximum data transmission rate of the quality of service QoS requirement is represented, and the number N of the corresponding phase control units of the communication system energy efficiency maximization meets the following conditions:
wherein ,
with reference to the first aspect, in one possible implementation manner, after determining that the channel capacity meets the preset constraint condition, the method further includes: and determining the phase shift of each of the N phase control units corresponding to the energy efficiency maximization of the communication system according to the number N of the phase control units corresponding to the energy efficiency maximization of the communication system and the channel capacity when the base station communicates with the first terminal equipment.
In a second aspect, the present application provides a communication device comprising a first processing unit and a second processing unit; the first processing unit is used for establishing a channel model between the base station and the first terminal equipment; the system comprises a base station, a first terminal equipment and a relay channel module, wherein the channel module comprises a direct connection channel module between the base station and the first terminal equipment and a relay channel module for the base station to communicate with the first terminal equipment through an RIS, the RIS comprises M phase control units, and each phase control unit is used for reflecting signals received by the RIS; the channel characteristics corresponding to the relay channel model are related to the number N of phase control units used when the base station communicates with the first terminal equipment through RIS; n is a positive integer less than or equal to M; m is a positive integer; the second processing unit is used for obtaining the channel capacity of the base station when communicating with the first terminal equipment based on the established channel model between the base station and the first terminal equipment; wherein, the channel capacity is related to the channel characteristics corresponding to the direct connection channel model and the channel characteristics corresponding to the relay channel model; the second processing unit is further configured to determine, when the channel capacity meets a preset constraint condition, the number N of phased units corresponding to the maximization of the energy efficiency of the communication system.
With reference to the second aspect, in one possible implementation manner, the channel model satisfies:
wherein y represents a signal received by the first terminal device, s represents a signal transmitted by the base station, n represents noise, and the channel characteristics include: h is a b 、H br 、H r θ; wherein h is b Representing channel gain of the base station to the first terminal device; h br Indicating base station to RIS channel increaseBenefit matrix, H br The method comprises N components, wherein the N components respectively correspond to channel gains from a base station to N phase control units of RIS; h r Representing the channel gain matrix, H, of RIS to a first terminal device r The method comprises N components, wherein the N components respectively correspond to channel gains from N phase control units of RIS to first terminal equipment; θ represents the phase shift of each of the N phased units of the RIS; p represents the transmit power of the base station.
With reference to the second aspect, in one possible implementation manner, the channel capacity R when the base station communicates with the first terminal device satisfies:
wherein p represents the transmitting power of the base station, alpha represents the amplitude reflection coefficient, and alpha epsilon (0, 1)]，H br (N) represents the channel gain from the base station to the nth of the N phased units in the RIS, H r (N) represents the channel gain of the nth of the N phased units in the RIS to the first terminal device, σ represents additive white gaussian noise, |H br (n)H r (n) | represents taking an absolute value.
With reference to the second aspect, in one possible implementation manner, the second processing unit is further configured to determine, in a case where the channel capacity meets a preset constraint condition, a number N of phase control units corresponding to the maximization of energy efficiency of the communication system, where the number N includes:
the preset constraint conditions are as follows:the corresponding channel capacity when the data transmission rate of the communication system reaches the maximum data transmission rate of the quality of service QoS requirement is represented, and the number N of the corresponding phase control units of the communication system energy efficiency maximization meets the following conditions:
wherein ,
with reference to the second aspect, in one possible implementation manner, the second processing unit is further configured to determine, according to the number N of phased units corresponding to the maximization of the energy efficiency of the communication system and a channel capacity when the base station communicates with the first terminal device, a phase shift of each phased unit of the N phased units corresponding to the maximization of the energy efficiency of the communication system.
In summary, in the method for improving the energy efficiency of the communication system provided by the embodiment of the application, a channel model between the base station and the first terminal device is established, the channel capacity of the base station and the first terminal device when communicating is obtained according to the established channel model between the base station and the first terminal device, and the corresponding number N of phased units when the energy efficiency of the communication system is maximized is determined under the condition that the channel capacity meets the preset constraint condition. That is, while ensuring that the RIS normally provides services for each terminal device, the relationship between the number of phase control units and the energy efficiency of the communication system is optimized, so that the energy efficiency of the communication system is maximized by using a proper number of phase control units, and the energy efficiency of the communication system is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a RIS300 according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a structure of a RIS300 according to an embodiment of the present application;
fig. 4 is a flow chart of a method for improving energy efficiency of a communication system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an apparatus 400 according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of still another server 500 according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
As shown in fig. 1, a communication system according to an embodiment of the present application may include a Base Station (BS) 100, at least one terminal device 200 (e.g., terminal device 0, terminal device 1, terminal device 2), and at least one RIS300.
The base station 100 is an interface device for accessing the mobile communication network or the internet by the terminal device 200, and may provide communication services for two or more terminal devices 200 (for example, the terminal device 0, the terminal device 1, and the terminal device 2 shown in fig. 1). The terminal device 200 may be a terminal, a Mobile Station (MS), a Mobile Terminal (MT), or the like, for example. Specifically, the terminal device may be a mobile phone (mobile phone), a tablet computer (tablet) or a computer with a wireless transceiving function, and may also be a Virtual Reality (VR) terminal, an augmented reality (augmented reality, AR) terminal, a wireless terminal in unmanned driving, a wireless terminal in telemedicine, a wireless terminal in smart grid, a wireless terminal in smart city (smart city), a smart home, or a vehicle-mounted terminal.
In some embodiments, the communication link between the base station 100 and a certain terminal device 200 (e.g., terminal device 0) is clear of an obstacle (e.g., a building, etc.), and then when the base station 100 transmits a signal to the terminal device 200, the terminal device 200 may receive the signal of the base station 100 directly through a channel (also referred to as a direct channel, such as channel (1) in fig. 1) between the base station 100 and the terminal device 200. In other embodiments, when there is an obstacle in the communication link between the base station 100 and a certain terminal device 200 (e.g., the terminal device 1), the terminal device 200 may receive, on the one hand, a part of the signal transmitted by the base station 100 through a channel between the base station 100 and the terminal device 200 (i.e., a direct channel, such as the channel (2) in fig. 1). On the other hand, the terminal device 200 may also receive another part of the signal transmitted by the base station 100 through the relay channel. The relay channel refers to a channel through which the base station 100 communicates with the terminal device 200 through the RIS300, such as channel (3) in fig. 1. Specifically, when the base station 100 transmits a signal to the terminal device 200, the RIS300 can also receive the signal and reflect the received signal to the terminal device 200 by utilizing the characteristics of the reflected signal itself. The terminal device 200 can determine the original signal transmitted by the base station 100 from the signal it receives from the direct channel and from the signal received from the relay channel. In still other embodiments, there is an obstacle in the communication link between the base station 100 and a certain terminal device 200 (e.g., terminal device 2), and the terminal device 200 belongs to a dead zone where the base station 100 transmits signals, i.e., the terminal device 200 cannot receive signals transmitted by the base station 100 through a channel between the base station 100 and the terminal device 200 (i.e., a direct connection channel). Then, in this scenario, the terminal device 200 may receive the signal of the base station 100 from the relay channel (e.g., channel (4) in fig. 1). That is, when the base station 100 transmits a signal to the terminal device 200, the RIS300 can also receive the signal and reflect the received signal to the terminal device 200 by utilizing the characteristics of the reflected signal itself.
The structure and reflection principle of RIS300 are described below.
As shown in FIG. 2, a schematic diagram of a RIS300 is provided according to an embodiment of the present application. The RIS300 comprises a plurality of patches and a plurality of adjustable circuit elements arranged according to a certain rule, wherein the RIS300 further comprises a processor, wherein the processor can comprise one or more processing units, the one or more processing units can comprise a microcontroller or any one of a field programmable gate array (field programmable gate array, FPGA), wherein the adjustment of the properties of the patches (such as average magnetic permeability, average dielectric constant) and further the change of the phase and amplitude of the incident signal can be realized by designing the geometrical structure (such as square, split ring, etc.), the size (such as smaller than the wavelength of the incident signal), the direction, the arrangement, etc. of the patches and the adjustable circuit elements so that the patches and the adjustable circuit elements jointly realize the control of the phase and the amplitude of the incident signal and realize the effect of reflecting the incident signal, wherein the adjustable circuit elements comprise one or more diodes (such as PIN diodes or varactors).
Optionally, RIS300 may also include a sensor. The sensor may be used to detect changes in the channel environment surrounding RIS300. The processor may perform channel estimation on the channels around the RIS300 based on the detection data from the sensors. Optionally, RIS300 may also include a radio frequency link that may be used to receive signals surrounding RIS300, including incident signals of RIS300 and/or transmitted signals of the RIS. Further, the processor may perform channel estimation on the channels around the RIS300 according to the signals received by the radio frequency link. It will be appreciated that the processor may perform optimization processing on the incident signal received by the RIS300 according to the result of channel estimation, and the present application is not limited in particular to the optimization processing of the incident signal.
FIG. 3 is a schematic diagram of a RIS300 according to an embodiment of the present application. RIS300 comprises three layers of hardware and one controller. In three-layer hardware, the outermost hardware includes tunable circuit elements and patches (e.g., metal patches) disposed on a dielectric substrate. The intermediate layer hardware may be, for example, a copper plate for preventing signal energy leakage. The innermost hardware may be a control circuit board that is coupled to a controller (e.g., FPGA). The controller can change the parameters of the adjustable circuit element through the control circuit board, so as to control the change of the phase and the amplitude of the incident signal.
In some embodiments, if the controller is capable of reflecting an incident signal by controlling the patch 1, the patch 2, the patch 3, the tunable circuit element 1, and the tunable circuit element 2, the corresponding software resources used in the patch 1, the patch 2, the patch 3, the tunable circuit element 1, the tunable circuit element 2, and the controller are referred to as a phase control unit (i.e., the phase control unit 0 in fig. 3).
In other embodiments, if the controller is capable of reflecting an incident signal by controlling the patch 4, the patch 5, the patch 6, the patch 7, the patch 8, the patch 9, the tunable circuit element 3, the tunable circuit element 4, the tunable circuit element 5, and the tunable circuit element 6, the patch 4, the patch 5, the patch 6, the patch 7, the patch 8, the patch 9, the tunable circuit element 3, the tunable circuit element 4, the tunable circuit element 5, the tunable circuit element 6, and the corresponding software resource used in the controller are referred to as a phase control unit (i.e., the phase control unit 1 in fig. 3).
It will be appreciated that different phased units may contain the same resources. As shown in fig. 3, if the controller can reflect an incident signal by controlling the patch 7, the patch 8, the patch 9, the patch 10, the patch 11, the patch 12, the tunable circuit element 5, the tunable circuit element 6, the tunable circuit element 7, and the tunable circuit element 8, the patch 7, the patch 8, the patch 9, the patch 10, the patch 11, the patch 12, the tunable circuit element 5, the tunable circuit element 6, the tunable circuit element 7, the tunable circuit element 8, and the corresponding software resource used in the controller are referred to as a phase control unit (i.e., the phase control unit 2 in fig. 3). As can be seen from the above, the phase control unit 1 and the phase control unit 2 each comprise a patch 7, a patch 8, a patch 9, an adjustable circuit element 5, an adjustable circuit element 6 and part of the software resources in the controller.
Thus, in an embodiment of the present application, RIS300 comprises M phased units, where each phased unit is configured to reflect an incident signal received by RIS300. More specifically, a phase control unit is used to characterize the resources (including hardware resources and software resources) involved in reflecting an incoming signal by RIS300. It can be understood that in the embodiment of the present application, one of the phase control units is a logic concept.
The method for improving the energy efficiency of the communication system provided by the embodiment of the application can be applied to a device, and the device can be arranged on a RIS (radio resource locator) or a server, and the server can be other equipment independent of a base station, the RIS and terminal equipment.
As shown in fig. 4, a flow chart of a method for improving energy efficiency of a communication system according to an embodiment of the present application is shown, where the flow chart includes:
s101, establishing a channel model between a base station and first terminal equipment.
Referring to fig. 1, when an obstacle exists in a communication link between a base station and a first terminal device, the first terminal device may receive a part of a signal sent by the base station through a channel (i.e., a direct channel, such as channel (2) in fig. 1) between the base station and the first terminal device. On the other hand, the first terminal device may also receive another part of the signal transmitted by the base station through the relay channel. The relay channel refers to a channel through which the base station communicates with the first terminal device through the RIS, such as channel (3) in fig. 1. Specifically, when the base station transmits a signal to the first terminal device, the RIS can also receive the signal and reflect the received signal to the first terminal device by using the characteristics of the reflected signal of the RIS. The first terminal device may determine the original signal transmitted by the base station from the signal it receives from the direct channel and from the signal it receives from the relay channel.
It should be noted that the RIS includes M phased units, each of which is operable to reflect a received signal. In the present application, N phased units may be selected from M phased units, for reflecting a signal sent by the base station to the first terminal device. That is, the RIS allocates N phased units to the first terminal device.
In summary, the channel model between the base station and the first terminal device includes a direct channel model and a relay channel model. Further, the signal received by the first terminal device through the direct connection channel model satisfies formula 1:
wherein ,hb Representing the channel gain of the base station to the first terminal device, p representing the transmit power of the base station, s representing the signal transmitted by the base station, n 1 Representing noise contained in a signal received by the first terminal device through the direct channel model.
The signal received by the first terminal device through the relay channel model satisfies equation 2:
wherein ,Hbr Representing base station to RIS channel gain matrix, H br ∈C 1×N N is a positive integer less than or equal to M, H br Comprises N components, the N components respectively correspond to the channel gains from the base station to N phase control units of RIS, H r Representing the channel gain matrix, H, of RIS to a first terminal device r ∈C 1×N N is a positive integer less than or equal to M, H r Comprises N components, N components respectively correspond to the channel gains from N phase control units of RIS to the first terminal equipment, N 2 Representing noise contained in a signal received by the first terminal device through the relay channel model. θ represents the phase shift corresponding to each of the N phase control units, and may be represented by a diagonal matrix, which satisfies equation 3:
wherein alpha represents the amplitude reflection coefficient, alpha epsilon (0, 1]，θ n Representing the phase shift, θ, of the nth phase control element in the RIS n ∈[0，2π](n.epsilon. {1, …, N }, N is a positive integer less than or equal to M).
According to formulas 1 and 2, the channel model is used for representing that the corresponding relation between the signal received by the first terminal device and the channel characteristics satisfies formula 4:
wherein y represents the signal received by the first terminal device, n represents noise, n=n 1 +n 2 。
In summary, since the channel model between the base station and the first terminal device includes the direct connection channel model between the base station and the first terminal device and the relay channel model for the base station to communicate with the first terminal device through the RIS, the channel characteristics of the channel model between the base station and the first terminal device and the channel characteristics of the direct connection channel between the base station and the first terminal device (e.g. h b ) Channel characteristics (e.g. H) of the relay channel between the base station and the first terminal device br ，H r θ) are correlated. Wherein H is br ，H r θ is related to the N phased units allocated for the first terminal device.
S102, obtaining the channel capacity of the base station and the first terminal equipment when the base station communicates with the first terminal equipment based on the established channel model between the base station and the first terminal equipment.
In some embodiments, the data transmission rate at which the base station communicates with the first terminal device satisfies equation 5 according to the channel characteristics in the channel model between the base station and the first terminal device:
where σ represents additive gaussian white noise.
When the data transmission rate when the base station communicates with the first terminal device reaches the maximum value, the channel capacity R when the base station communicates with the first terminal device satisfies equation 6:
wherein ,Hbr (N) represents the channel gain from the base station to the nth of the N phased units in the RIS, H r (N) represents the channel gain of the nth of the N phased units in the RIS to the first terminal device.
To simplify equation 6, letEquation 6 can be expressed as equation 7:
s103, under the condition that the channel capacity meets the preset constraint condition, determining the number N of the corresponding phase control units for maximizing the energy efficiency of the communication system.
In some embodiments, the energy efficiency of the communication system refers to the ratio of the channel capacity when the base station communicates with the first terminal device to the sum of the power consumption of the base station, the RIS and the first terminal device. Wherein, the sum of the power consumption of the base station, the RIS and the first terminal equipment satisfies the formula 8:
wherein e is E (0, 1)]Representing the efficiency of the base station power amplifier, P S Representing power consumption of a base station transmitter, P d Representing the power consumption of the first terminal device, P e Representing the power consumption of one of the phase control units in the RIS.
According to equations 7 and 8, the energy efficiency of the communication system satisfies equation 9:
it should be noted that different constraint conditions may be set for the capacity R when the base station communicates with the first terminal device according to different application scenarios. For example, when the base station and the first terminal device communicate, if different levels of quality of service (quality of service, qoS) are set for different application scenarios, the constraint condition of the channel capacity R when the base station and the first terminal device communicate is different. In a specific example, the constraint condition of the channel capacity R when the base station communicates with the first terminal device may be set to be the corresponding channel capacity when the transmission rate of the communication system reaches the maximum data transmission rate of the QoS requirement, where the corresponding channel capacity is constantEquation 9 can be expressed using equation 10:
as can be seen from equation 10, in order to maximize the energy efficiency of the communication system, the sum of the power consumption of the base station, the RIS and the first terminal device needs to be minimized, where the power consumption of the base station transmitter, the efficiency of the base station power amplifier and the power consumption of the first terminal device are independent of the number of RIS phase control units, and the sum is regarded as a constant, and the energy efficiency maximization problem of the communication system is converted into solving equation 11:
from the above, P e Representing the power consumption of one of the phase control units in the RIS. It will be appreciated that the transmit power of the base station will affect the strength of the incoming signal received by the RIS and thus the number of phase control elements used to reflect the incoming signal. That is, the number of phased units allocated to the first terminal device in the RIS is related to the transmit power of the base station.
According to formula 7 and letP is obtained, equation 12:
further, substituting equation 12 into equation 11 yields equation 13 as follows:
the problem represented by equation 13 is a convex optimization problem, solving equation 13, where the number N of phased units corresponding to the maximization of the system energy efficiency satisfies equation 14:
s104, determining the phase shift of each of the N phase control units corresponding to the energy efficiency maximization of the communication system according to the number N of the phase control units corresponding to the energy efficiency maximization of the communication system and the channel capacity when the base station communicates with the first terminal equipment.
In some embodiments, equation 15 may be derived from equations 5 and 6:
solving equation 15 can obtain the phase shift of each of the N phased units corresponding to the maximization of the energy efficiency of the communication system, and satisfies equation 16:
θ n ＝arg(h b )-arg(H br (n)H r (n)) (equation 16)
wherein ,θn ∈[0，2π](n∈{1,…,N})。
In summary, in the method for improving energy efficiency of a communication system provided by the embodiment of the present application, a channel model between a base station and a first terminal device is established. And obtaining the data transmission rate of the base station and the first terminal equipment when in communication according to the channel characteristics of the established channel model between the base station and the first terminal equipment. And determining the channel capacity when the base station communicates with the first terminal equipment according to the maximum value of the data transmission rate when the base station communicates with the first terminal equipment. Under the condition that the channel capacity meets the maximum data transmission rate in the application scene, the energy efficiency maximum value of the communication system can be obtained by only enabling the sum of the power consumption of the base station, the RIS and the first terminal equipment to be minimum. The sum of the power consumption of the base station, the RIS and the first terminal device can be converted into a convex optimization problem related to the number of phase control units in the RIS. By solving the convex optimization problem, the corresponding number of phase control units can be obtained when the energy efficiency of the system is maximized. In other words, by determining the number of phase control units used by the base station when communicating with each terminal device via the reconfigurable intelligent surface, the energy efficiency of the overall communication system is improved.
It should be noted that, the above method for improving the energy efficiency of the communication system takes a terminal device in the communication system as an example, and describes how to determine the number of phase control units and the phase shift of each phase control unit corresponding to the maximization of the energy efficiency of the communication system for the terminal device. It will be appreciated that more terminal devices may be included in the communication system. The method is adopted for each terminal device in the communication system without considering interference and attenuation among signals, and the number of the corresponding phase control units of each terminal device and the phase shift of each phase control unit can be solved.
Therefore, in the application, RIS is refined into the phase control units with smaller granularity, and the number of the phase control units corresponding to the maximization of the energy efficiency of the communication system is respectively determined for each terminal device served by the base station by taking the phase control units as units. That is, by optimizing the relationship between the number of the phase control units and the energy efficiency of the communication system, the energy efficiency of the communication system is maximized by using a proper number of the phase control units, and the energy efficiency of the communication system is improved.
The foregoing description of the solution provided by the embodiments of the present application has been mainly presented in terms of a method. It may be understood that, in order to implement the above functions, the apparatus provided in the embodiment of the present application includes a hardware structure and/or a software network element that perform respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
Fig. 5 is a schematic structural diagram of an apparatus 400 according to an embodiment of the present application. The apparatus 400 comprises a first processing unit 401 and a second processing unit 402. A first processing unit 401, configured to establish a channel model between a base station and a first terminal device; the system comprises a base station, a first terminal equipment and a relay channel module, wherein the channel module comprises a direct connection channel module between the base station and the first terminal equipment and a relay channel module for the base station to communicate with the first terminal equipment through an RIS, the RIS comprises M phase control units, and each phase control unit is used for reflecting signals received by the RIS; the channel characteristics corresponding to the relay channel model are related to the number N of phase control units used when the base station communicates with the first terminal equipment through RIS; n is a positive integer less than or equal to M; m is a positive integer; a second processing unit 402, configured to obtain a channel capacity when the base station communicates with the first terminal device, based on the established channel model between the base station and the first terminal device; wherein, the channel capacity is related to the channel characteristics corresponding to the direct connection channel model and the channel characteristics corresponding to the relay channel model; the second processing unit 402 is further configured to determine, if the channel capacity meets a preset constraint condition, a number N of phased units corresponding to the maximization of the energy efficiency of the communication system.
Optionally, the channel model satisfies:
wherein y represents a signal received by the first terminal device, s represents a signal transmitted by the base station, n represents noise, and the channel characteristics include: h is a b 、H br 、H r θ; wherein h is b Representing channel gain of the base station to the first terminal device; h br Representing base station to RIS channel gain matrix, H br The method comprises N components, wherein the N components respectively correspond to channel gains from a base station to N phase control units of RIS; h r Representing the channel gain matrix, H, of RIS to a first terminal device r The method comprises N components, wherein the N components respectively correspond to channel gains from N phase control units of RIS to first terminal equipment; θ represents the phase shift of each of the N phased units of the RIS; p represents the transmit power of the base station.
Optionally, the channel capacity R when the base station communicates with the first terminal device satisfies:
wherein p represents the transmitting power of the base station, alpha represents the amplitude reflection coefficient, and alpha epsilon (0, 1)]，H br (N) represents the channel gain from the base station to the nth of the N phased units in the RIS, H r (N) represents the channel gain of the nth of the N phased units in the RIS to the first terminal device, σ represents additive white gaussian noise, |H br (n)H r (n) | represents taking an absolute value.
Optionally, the second processing unit 402 is further configured to determine, in a case where the channel capacity meets a preset constraint condition, a number N of phased units corresponding to the maximization of the energy efficiency of the communication system, where the number N includes:
the preset constraint conditions are as follows:the corresponding channel capacity when the data transmission rate of the communication system reaches the maximum data transmission rate of the quality of service QoS requirement is represented, and the number N of the corresponding phase control units of the communication system energy efficiency maximization meets the following conditions:
wherein ,
optionally, the second processing unit 402 is further configured to determine, according to the number N of phase control units corresponding to the maximization of the energy efficiency of the communication system and the channel capacity when the base station communicates with the first terminal device, a phase shift of each of the N phase control units corresponding to the maximization of the energy efficiency of the communication system.
Optionally, the apparatus 400 may further comprise a communication unit and a storage unit.
Since the apparatus 400 provided in this embodiment can execute the method for improving the energy efficiency of the communication system, the technical effects obtained by the method can be referred to the above method embodiments, and will not be described herein.
The structure of the apparatus 400 may also be a server 500 as shown in fig. 6. As shown in fig. 6, server 500 includes one or more processors 501, one or more memories 502, and one or more communication interfaces 503.
The processor 501, the memory 502 and the communication interface 503 are connected by a bus. The processor 501 may include a general purpose central processing unit (Central Processing Unit, CPU) (e.g., CPU0 and CPU 1), a microprocessor, an Application-specific integrated circuit (ASIC), a graphics processor (graphics processing unit, GPU), a neural-Network Processor (NPU), or an integrated circuit for controlling program execution in accordance with aspects of the present application.
Memory 502 may be used to store computer-executable program code that includes instructions. Memory 502 may include a stored program area and a stored data area. The storage program area may store an operating system, application program codes, and the like. In addition, memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash memory (universal flash storage, UFS), and the like. The processor 501 performs various functional applications of the server 500 and data processing by executing instructions stored in the memory 502. In one example, the processor 501 may also include multiple CPUs, and the processor 501 may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, or processing cores for processing data (e.g., computer program instructions).
Communication interface 503 may be used to communicate with other devices or communication networks such as ethernet, wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, the first processing unit 401 and the second processing unit 402 of the apparatus 400 may be integrated together, specifically, the processor 501 in the server 500 shown in fig. 6.
Another embodiment of the present application also provides a computer readable storage medium having stored therein computer instructions that, when executed on the server 500, cause the server 500 to perform the steps in the method flow shown in the above-described method embodiment.
In another embodiment of the application, there is also provided a computer program product for causing a computer to perform the steps of the method flow shown in the method embodiment described above when the computer program product is run on the computer.
Another embodiment of the present application also provides a chip system, which is applied to the server 500. The system-on-chip includes one or more interface circuits, and one or more processors. The interface circuit and the processor are interconnected by a wire. The interface circuit is configured to receive signals from the memory of the server 500 and to send the signals to the processor, the signals including computer instructions stored in the memory. When the processor executes the computer instructions, the server 500 performs the steps of the method flow shown in the method embodiments described above.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in the embodiments may be accomplished by computer programs stored in a computer-readable storage medium, which when executed, may include the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present application should be included in the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims (4)
1. A method for improving energy efficiency of a communication system, wherein the method is applied to the communication system, the communication system comprises a base station, a first terminal device and a reconfigurable intelligent surface RIS, and the RIS comprises M phased units; the method comprises the following steps:
establishing a channel model between the base station and the first terminal equipment; the channel model comprises a direct connection channel model between the base station and the first terminal equipment and a relay channel model for the base station to communicate with the first terminal equipment through the RIS, wherein the channel characteristics corresponding to the relay channel model are related to the number N of phase control units used when the base station communicates with the first terminal equipment through the RIS; the N is a positive integer less than or equal to M; m is a positive integer; the channel model satisfies:
wherein y represents a signal received by the first terminal device, s represents a signal transmitted by the base station, n represents noise, and the channel characteristics include: h is a b 、H br 、H r θ; wherein h is b Representing channel gain of the base station to the first terminal device; h br A channel gain matrix representing the base station to the RIS, the H br The method comprises N components, wherein the N components respectively correspond to channel gains from the base station to N phase control units of the RIS; h r Representing a channel gain matrix of the RIS to the first terminal device, the H r The method comprises N components, wherein the N components respectively correspond to channel gains from N phase control units of the RIS to the first terminal equipment; θ represents the phase shift of each of the N phased units of the RIS; p represents the transmission power of the base station;
obtaining channel capacity when the base station communicates with the first terminal equipment based on the established channel model between the base station and the first terminal equipment; wherein the channel capacity is related to the channel characteristics corresponding to the direct connection channel model and the channel characteristics corresponding to the relay channel model; the channel capacity R when the base station communicates with the first terminal device satisfies:
wherein p represents the transmitting power of the base station, alpha represents the amplitude reflection coefficient, and alpha epsilon (0, 1)]，H br (N) represents the channel gain of the base station to the nth of the N phased units in the RIS, H r (N) represents the channel gain of the nth of the N phased units in the RIS to the first terminal device, σ represents additive gaussian white noise, |h br (n)H r (n) | represents taking an absolute value;
meeting preset constraint on the channel capacityUnder the condition of the condition, determining the quantity N of the corresponding phase control units of the energy efficiency maximization of the communication system; the preset constraint conditions are as follows:representing a channel capacity corresponding to a data transmission rate of the communication system reaching a maximum data transmission rate of a quality of service QoS requirement, the number N of phase control units corresponding to the energy efficiency maximization of the communication system satisfies:
wherein ,
2. the method according to claim 1, wherein after said determining that the communication system energy efficiency maximizes the number N of corresponding phase control units in case the channel capacity satisfies a preset constraint, the method further comprises:
and determining the phase shift of each phase control unit in the N phase control units corresponding to the energy efficiency maximization of the communication system according to the number N of the phase control units corresponding to the energy efficiency maximization of the communication system and the channel capacity when the base station communicates with the first terminal equipment.
3. A communication device, the device comprising a first processing unit and a second processing unit;
the first processing unit is used for establishing a channel model between the base station and the first terminal equipment; the channel model comprises a direct connection channel model between the base station and the first terminal equipment and a relay channel model for the base station to communicate with the first terminal equipment through an RIS, wherein the RIS comprises M phase control units, and each phase control unit is used for reflecting signals received by the RIS; the channel characteristics corresponding to the relay channel model are related to the number N of phased units used by the base station when communicating with the first terminal device through the RIS; the N is a positive integer less than or equal to M; m is a positive integer; the channel model satisfies:
wherein y represents a signal received by the first terminal device, s represents a signal transmitted by the base station, n represents noise, and the channel characteristics include: h is a b 、H br 、H r θ; wherein h is b Representing channel gain of the base station to the first terminal device; h br A channel gain matrix representing the base station to the RIS, the H br The method comprises N components, wherein the N components respectively correspond to channel gains from the base station to N phase control units of the RIS; h r Representing a channel gain matrix of the RIS to the first terminal device, the H r The method comprises N components, wherein the N components respectively correspond to channel gains from N phase control units of the RIS to the first terminal equipment; θ represents the phase shift of each of the N phased units of the RIS; p represents the transmission power of the base station;
the second processing unit is configured to obtain a channel capacity when the base station communicates with the first terminal device based on the established channel model between the base station and the first terminal device; wherein the channel capacity is related to the channel characteristics corresponding to the direct connection channel model and the channel characteristics corresponding to the relay channel model; the channel capacity R when the base station communicates with the first terminal device satisfies:
wherein p represents the transmitting power of the base station, and alpha represents the inverse amplitudeCoefficient of emission, alpha E (0, 1)]，H br (N) represents the channel gain of the base station to the nth of the N phased units in the RIS, H r (N) represents the channel gain of the nth of the N phased units in the RIS to the first terminal device, σ represents additive gaussian white noise, |h br (n)H r (n) | represents taking an absolute value;
the second processing unit is further configured to determine, when the channel capacity meets a preset constraint condition, the number N of phased units corresponding to the maximization of the energy efficiency of the communication system; the preset constraint conditions are as follows:representing a channel capacity corresponding to a data transmission rate of the communication system reaching a maximum data transmission rate of a quality of service QoS requirement, the number N of phase control units corresponding to the energy efficiency maximization of the communication system satisfies:
wherein ,
4. a device according to claim 3, further comprising:
the second processing unit is further configured to determine a phase shift of each of the N phased units corresponding to the maximization of the energy efficiency of the communication system according to the number N of phased units corresponding to the maximization of the energy efficiency of the communication system and a channel capacity when the base station communicates with the first terminal device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210382691.0A CN114828023B (en) | 2022-04-12 | 2022-04-12 | Method and device for improving energy efficiency of communication system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210382691.0A CN114828023B (en) | 2022-04-12 | 2022-04-12 | Method and device for improving energy efficiency of communication system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114828023A CN114828023A (en) | 2022-07-29 |
| CN114828023B true CN114828023B (en) | 2023-09-05 |
Family
ID=82535141
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210382691.0A Active CN114828023B (en) | 2022-04-12 | 2022-04-12 | Method and device for improving energy efficiency of communication system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114828023B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021239311A1 (en) * | 2020-05-29 | 2021-12-02 | British Telecommunications Public Limited Company | Ris-assisted wireless communications |
| CN113873622A (en) * | 2021-09-01 | 2021-12-31 | 武汉大学 | Communication network energy-saving method based on reconfigurable intelligent surface |
| CN114040478A (en) * | 2021-10-29 | 2022-02-11 | 清华大学 | Low-power-consumption intelligent super-surface hardware structure, precoding method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210145514A (en) * | 2020-05-25 | 2021-12-02 | 삼성전자주식회사 | Method and apparatus for power controlling for network energy optimization |
-
2022
- 2022-04-12 CN CN202210382691.0A patent/CN114828023B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021239311A1 (en) * | 2020-05-29 | 2021-12-02 | British Telecommunications Public Limited Company | Ris-assisted wireless communications |
| CN113873622A (en) * | 2021-09-01 | 2021-12-31 | 武汉大学 | Communication network energy-saving method based on reconfigurable intelligent surface |
| CN114040478A (en) * | 2021-10-29 | 2022-02-11 | 清华大学 | Low-power-consumption intelligent super-surface hardware structure, precoding method and device |
Non-Patent Citations (1)
| Title |
|---|
| 基于非正交多址接入异构携能网络稳健能效资源分配算法;徐勇军;李国权;陈前斌;林金朝;;通信学报(第02期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114828023A (en) | 2022-07-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113039844A (en) | Method for positioning a reference design | |
| CN113839694B (en) | Intelligent reflecting surface phase shift control method, system, equipment and storage medium | |
| US20210243639A1 (en) | System and method for prioritization of network traffic across multiple wireless options | |
| CN105450676A (en) | Network sharing method and device, and network sharing system | |
| US20230022225A1 (en) | Methods and systems for managing reflecting surface | |
| CN115396358A (en) | Route setting method, device and storage medium for computing power perception network | |
| CN117220725B (en) | Detection error correction method and device for multi-phased array antenna | |
| CN117311296B (en) | Industrial model-based high-strength production line collaborative optimization and energy efficiency management method | |
| CN114828023B (en) | Method and device for improving energy efficiency of communication system | |
| CN117499979B (en) | Target detection method and device for phased array antenna | |
| EP3187005A1 (en) | Information processing method and base station | |
| CN107835514B (en) | Modeling method for wireless network resource matching in multi-host service scene | |
| US11576077B2 (en) | Method for improving transmission rate in mesh network | |
| CN114244469A (en) | Secure transmission method, system, medium, device and data processing terminal | |
| JP2003304192A (en) | Uplink data communication equipment and method thereof | |
| CN113938946A (en) | Communication method and device | |
| CN115699849A (en) | Wireless communication method and apparatus | |
| CN116468256B (en) | Multi-production line management method and device | |
| KR101407815B1 (en) | Device and Method for Enhancing Communication Capacity in Device to Device Communication | |
| Alotaibi et al. | Performance analysis in overlay-based cognitive D2D communications in 5G networks | |
| WO2023116553A1 (en) | Method and apparatus for determining clear channel assessment threshold | |
| CN113595678B (en) | Network coding method and device | |
| CN114071546B (en) | Data transmission method and device and electronic equipment | |
| CN109327909B (en) | Power determination method and device for millimeter wave multi-connection network | |
| CN117527113B (en) | Wireless channel fading prediction method based on AI model |
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 |