CN103826256A - Method for detecting energy consumption of LTE wireless private network based on C-RAN architecture - Google Patents

Method for detecting energy consumption of LTE wireless private network based on C-RAN architecture Download PDF

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CN103826256A
CN103826256A CN201410073746.5A CN201410073746A CN103826256A CN 103826256 A CN103826256 A CN 103826256A CN 201410073746 A CN201410073746 A CN 201410073746A CN 103826256 A CN103826256 A CN 103826256A
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energy consumption
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power consumption
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孙颖
衷宇清
王敏
王浩
王素杰
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Guangzhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Abstract

The invention provides a method for detecting the energy consumption of an LTE wireless private network based on a C-RAN architecture. The method comprises the following steps that an energy consumption module of equipment to be detected of an LTE wireless private network system is established according to the C-RAN architecture; in operation of the equipment to be detected, the energy consumption value of the energy consumption part of digital baseband processing of the equipment to be detected, the energy consumption value of the energy consumption part of a simulation radio frequency unit, the energy consumption value of the energy consumption part of a power amplifying module and the energy consumption value of the energy consumption part of system environment are calculated; the total energy consumption value of the LTE wireless private network system is determined according to the calculated energy consumption values. The method achieves the accurate calculation of the system energy consumption, the energy consumption of each part corresponds to an entity physical unit carrier, when the system structure of a signal processing algorithm is changed, the caused energy consumption change can also be precisely detected in real time, and important reference is provided for energy consumption detection and control of the LTE wireless private network.

Description

The energy consumption detecting method of the LTE wireless private network based on C-RAN framework
Technical field
The present invention relates to power system telecommunications technology field, particularly relate to a kind of energy consumption detecting method of the LTE wireless private network based on C-RAN framework.
Background technology
Power industry data volume sharp increase in recent years, especially the distribution automation of the following distribution side of 10kV, metering automation end business, be faced with the demand that region is wide, access is many, traditional optical fiber coverage mode takes effect slowly, is badly in need of the supplement communication means of LTE wireless private network as it.
Therefore, power supply unit is self-built LTE(Long Term Evolution, Long Term Evolution plan) wireless private network, hope obtains higher system bandwidth, service access effect meets the demand of distribution automation and metering automation faster.Following LTE network is using OFDM(Orthogonal Frequency DivisionMultiplexing, orthogonal frequency division multiplexi) as its transmission technology time, introduce heterogeneous network HetNet(Heterogeneous Network, heterogeneous network) concept, carry out overlapping covering by the microcellulor of disposing macrocellular and multiple dense distribution at the same area, shorten the distance of user to antenna, thereby reduce transmitting power, increase channeling.A kind of effective HetNet dispositions method is the Radio Access Network framework adopting based on cloud, be C-RAN(Cloud-based radio access network, based on the Radio Access Network of cloud) framework, traditional base station is divided into radio frequency units RRH(Remote Radio Head, remote radio unit (RRU)) and baseband processing unit BBU(Baseband Unit, baseband processing unit), between the two, connect by optical fiber.As shown in Figure 1, the C-RAN network architecture has following features:
(1) deployment of RRH, by simple and efficient, only need erect a television antenna and corresponding radio frequency unit;
(2) BBU realizes at key central machine room, unified construction, and unified O&M, has reduced system Construction and O&M cost;
(3) RRH is connected by the optical fiber of two-forty, low delay with BBU, can realize the centralization processing of information.
Due to These characteristics, it is the green wireless access network that merges 4C feature that C-RAN is otherwise known as, it is the important evolution scheme of LTE wireless network architecture, so-called 4C, i.e. Clean(energy-saving and emission-reduction), Centralized(focuses on), Cooperative(collaboration type radio) and Cloud(utilized the hardware and software platform of cloud computing ability).
Due to the proposition of country's " energy-saving and emission-reduction " strategy, the energy consumption problem of communication network has obtained increasing concern.But, so far, also do not have in the industry special model to carry out the energy consumption of accurate Calculation C-RAN network.
The generally base station design pattern based on traditional " antenna upstairs, downstairs machine room " of existing LTE network energy consumption model, no matter this model is not all suitable for novel C-RAN framework from structure or function.If adopt existing LTE network system energy consumption model to calculate the energy consumption of C-RAN network, will have following problem:
(1) radio frequency units RRH only comprises antenna and corresponding basic radio frequency unit, and traditional energy consumption model also needs to consider the factors such as the feeder loss of antenna;
(2) factors such as baseband processing unit BBU in center concentrates on the key machine room in center, unifies O&M, and traditional energy consumption model also comprises the independent O&M of each base station, and air-conditioning is cooling;
(3) radio frequency units RRHYu center baseband processing unit BBU connects by optical fiber, need corresponding CPRI(Common Public Radio Interface, common public radio interface) light/electric translation interface, and traditional energy consumption model does not comprise CPRI interface and energy consumption thereof;
(4) the multiple radio frequency units RRH that are connected to center baseband processing unit BBU by optical fiber can carry out elevator system throughput by cooperation transmission, but traditional energy consumption model reckons without computation complexity and energy consumption that this cooperation transmission is brought.
Based on the analysis of the problems referred to above, existing energy consumption detection technique cannot adapt to the demand of the LTE wireless private network energy consumption detection of C-RAN framework, and testing result accuracy is lower, is difficult to obtain the total energy consumption of system more accurately.
Summary of the invention
Based on this, be necessary for the problems referred to above, a kind of energy consumption detecting method of the LTE wireless private network based on C-RAN framework is provided.
An energy consumption detecting method for LTE wireless private network based on C-RAN framework, comprises the steps:
According to the energy consumption model of the Devices to test of setting up LTE private wireless network system of C-RAN framework; Wherein, described Devices to test comprises digital base band processor unit, macrocellular radio frequency unit and microcellulor radio frequency unit;
Described energy consumption model comprises digital base band processor energy consumption part, analog radio frequency unit energy consumption part, power amplifier module energy consumption part and system environments energy consumption part;
Described digital base band processor energy consumption module comprises that digital predistortion subconstiuent, filtering subconstiuent, multi-carrier transmission subconstiuent, linear frequency domain are processed subconstiuent, non-linear frequency domain is processed subconstiuent, optical communication interface subconstiuent, forward error correction coding subconstiuent, CPU subconstiuent;
Described analog radio frequency unit energy consumption part comprises IQ signal modulator subconstiuent, variable attenuator subconstiuent, buffer register subconstiuent, forward voltage control oscillator subconstiuent, feedback voltage control oscillator subconstiuent, clock subconstiuent, analog-to-digital conversion subconstiuent, digital-to-analogue conversion subconstiuent;
Described power amplifier module energy consumption part comprises maximum transmission power subconstiuent, efficiency power amplifier subconstiuent, antenna feed subconstiuent;
Described system environments energy consumption part comprises AC/DC conversion subconstiuent, high low voltage transition subconstiuent and cooling package subconstiuent.
In service at described Devices to test, calculate the power consumption values of the digital base band processor energy consumption part of Devices to test, power consumption values, the power consumption values of power amplifier module energy consumption part and the power consumption values of system environments energy consumption part of analog radio frequency unit energy consumption part;
Determine the total energy consumption value of LTE private wireless network system according to the power consumption values of described calculating.
The energy consumption detecting method of the above-mentioned LTE wireless private network based on C-RAN framework, set up the modular energy consumption model of LTE wireless private network, system is divided into baseband processing unit, remote radio unit (RRU) and three parts of optical fiber transmission network of base station, each part is calculated from digital base band processor, power amplifier, radio frequency units and four aspects of system environments consumption respectively, and then obtains the total energy consumption of system.By above-mentioned modular division, realize the accurate Calculation of system energy consumption, every part energy consumption is to there being physical objects reason unit carrier, in the time that system configuration or signal processing algorithm change, also can accurately detect in real time its energy consumption of bringing and change, provide important references for LTE wireless private network energy consumption detects and controls.
Accompanying drawing explanation
Fig. 1 is typical C-RAN system architecture topological diagram;
Fig. 2 is the energy consumption detecting method flow chart that the present invention is based on the LTE wireless private network of C-RAN framework;
Fig. 3 is the energy consumption model structural representation of an example.
Embodiment
The embodiment of the energy consumption detecting method below in conjunction with accompanying drawing to the LTE wireless private network based on C-RAN framework of the present invention is described in detail.
Shown in figure 2, Fig. 2 is the energy consumption detecting method flow chart that the present invention is based on the LTE wireless private network of C-RAN framework, comprises the steps:
Step S10, according to the energy consumption model of the Devices to test of setting up LTE private wireless network system of C-RAN framework; Wherein, described Devices to test comprises digital base band processor unit, macrocellular radio frequency unit and microcellulor radio frequency unit;
Described energy consumption model comprises digital base band processor energy consumption part, analog radio frequency unit energy consumption part, power amplifier module energy consumption part and system environments energy consumption part;
Described digital base band processor energy consumption module comprises that digital predistortion subconstiuent, filtering subconstiuent, multi-carrier transmission subconstiuent, linear frequency domain are processed subconstiuent, non-linear frequency domain is processed subconstiuent, optical communication interface subconstiuent, forward error correction coding subconstiuent, CPU subconstiuent;
Described analog radio frequency unit energy consumption part comprises IQ signal modulator subconstiuent, variable attenuator subconstiuent, buffer register subconstiuent, forward voltage control oscillator subconstiuent, feedback voltage control oscillator subconstiuent, clock subconstiuent, analog-to-digital conversion subconstiuent, digital-to-analogue conversion subconstiuent;
Described power amplifier module energy consumption part comprises maximum transmission power subconstiuent, efficiency power amplifier subconstiuent, antenna feed subconstiuent;
Described system environments energy consumption part comprises AC/DC conversion subconstiuent, high low voltage transition subconstiuent and cooling package subconstiuent.
Shown in figure 3, Fig. 3 is the energy consumption model structural representation of an example, wherein, the baseband processing unit that BBU is base station, H-RRH is macrocellular radio frequency unit, and basic covering is provided; L-RRH is microcellulor radio frequency unit, strengthens channeling, and overlapping covering is provided.
(1) for energy consumption model digital base band processor energy consumption part, make a concrete analysis of as follows:
Digital predistortion (Digital Pre-Distortion, DPD), for the distortion of compensating non-linear power amplifier, makes signal be amplified by linearity.
Filtering (Filter), comprises lifting/lowering sampling and filtering, at transmitting terminal, signal being carried out to over-sampling transmission, improves the anti-aliasing ability of signal; At receiving terminal, by filtering, signal is carried out to down-sampled processing.
Multi-carrier transmission (OFDM), the relevant treatment part of system multi-carrier transmission.
Linear frequency domain processing (FD, lin), non-linear frequency domain processing (FD, nl), is the relevant frequency domain processing section of base band, and wherein non-linear frequency domain pack processing has contained the precoding calculating f (r) relevant to cooperation transmission, and r is and precoding relevant parameter.
Optical communication interface (CPRI) is the interface of BBU port, the power consumption of CPRI interface all produces at RRH and BBU both sides, its ratio accounting in movable RRH constantly increases, and the power consumption of CPRI channel in the RRH of idle condition is negligible, and each CPRI channel consumes 1.5 watts conventionally.
Forward error correction coding (FEC) is system forward error correction coding part.
CPU is the basic control unit part of system.
Generally, in digital base band processor energy consumption part, the power consumption of CPRI and non-linear frequency domain processing is occupied an leading position.
(2) for analog radio frequency unit energy consumption part, because related power amplifier section and Base-Band Processing part are that modeling is respectively to digital base band processor energy consumption part and power amplifier module energy consumption part, therefore, in energy consumption model of the present invention, radio frequency (Radio Frequency, being called for short RF) energy consumption of part is relatively-stationary, the concrete analysis of each subconstiuent is as follows:
IQ signal modulator is that signal is modulated into I, Q two paths of signals hop by system.
Variable attenuator is to adjust transmitting power, to protect transmitter unit part.
Buffer register, buffer memory associated data unit part.
Forward voltage control oscillator, feedback voltage control oscillator are for generation of FM signal part.
Clock, is clock generator/buffer generating clock signal part, for strengthen the carrying load ability of clock generator by buffer, reduces interference and the impact of load on clock generator simultaneously.
Analog-to-digital conversion (DA) and digital-to-analogue conversion (AD) are that system is respectively used to analog-to-digital conversion and digital-to-analogue conversion part.
Because the energy consumption of radio frequency part is relatively fixing, therefore, total energy consumption can obtain according to the power summation of each subconstiuent consumption, and generally, analog radio frequency assembly consumes 0.2 watt in microcell base station, consumes 5.7 watts in macrocell base stations.
(3), for power amplifier module energy consumption part, mainly determined by efficiency, maximum transmission power and the feeder loss of power amplifier (Power Amplifier is called for short PA).
(4) for system environments energy consumption part, be mainly the subconstiuent of considering to relate to power supply, i.e. AC/DC conversion (AC-DC), high low voltage transition (DC-DC) and cooling package.Generally, in the energy consumption of BBU, H-RRH and L-RRH, have 10% for cooling, 5% for DC-DC conversion, and 10% for AC-DC conversion, and system environments energy consumption probably accounts for 25% left and right of three's energy consumption summation.
In addition, if only have BBU to need active heat removal, RRH to adopt passive heat radiation, the cooling ratio of H-RRH and L-RRH is 0.
The energy consumption model of comprehensive above-described embodiment, radio frequency units modeling only comprises antenna and corresponding basic radio frequency unit; The baseband processing unit of the base station of original distribution has been concentrated in the baseband processing unit modeling at center, and corresponding cooling and base band signal process energy consumption unified Modeling is calculated in baseband processing unit with it; Increase the modeling of corresponding CPRI light/electric translation interface energy consumption at radio frequency units and the baseband processing unit at center; In model, increase cooperation transmission has been carried out to the modeling that large amount of complex calculating produces a large amount of energy consumptions at signal processing platform.
Step S20, in service at described Devices to test, calculate the power consumption values of the digital base band processor energy consumption part of Devices to test, power consumption values, the power consumption values of power amplifier module energy consumption part and the power consumption values of system environments energy consumption part of analog radio frequency unit energy consumption part.
In one embodiment, the method for specifically calculating power consumption values comprises as follows:
(1), for according to the method for the power consumption values of the digital base band processor energy consumption part of described parameter value calculation Devices to test, specifically comprise as follows:
Calculate the summation of all subconstiuent energy consumptions of the digital base band processor energy consumption part of Devices to test:
P S=P DPD+P Filter+P OFDM+P FD,lin+P FD,nl+P CPRI+P FEC+P CPU
In formula, P sthe summation of all subconstiuent energy consumptions of digital base band processor energy consumption part, P dPDfor digital predistortion subconstiuent, P filterfor filtering subconstiuent, P oFDMfor multi-carrier transmission subconstiuent, P fD, linfor linear frequency domain is processed subconstiuent, P fD, nlfor non-linear frequency domain is processed subconstiuent, P cPRIfor optical communication interface subconstiuent, P fECfor forward error correction coding subconstiuent, be CPU subconstiuent P cPU;
Wherein, the power consumption of each subconstiuent, computing formula is as follows:
Figure BDA0000471547670000061
In formula, P is subconstiuent corresponding device energy consumption, unit watt, and GOPS is the gigabit per second count value of subconstiuent corresponding device energy consumption,
Figure BDA0000471547670000072
for the technological factor of subconstiuent corresponding device; The power consumption of each subconstiuent, its computation complexity is in gigabit per second, arrange application specific processor by GOPS by being multiplied by
Figure BDA0000471547670000073
be converted to watt, for example, application specific processor can be arranged to 120GOPS/ watt and realize.
Calculate the power consumption of digital base band processor energy consumption part:
P BB=P S(1+η Leak)
In formula, P bBfor the power consumption of digital base band processor energy consumption part, η leakit is the compensation of the CMOS leakage current to Devices to test.
(2) for the method for the power consumption values of rated output amplification module energy consumption part, specifically comprise as follows:
P PA = N TX P TX η PA ( 1 - σ feed )
In formula, P pAfor the power consumption values of power amplifier module energy consumption part, N tXthe antenna amount that participates in multiple-input and multiple-output (Multiple-Input Multiple-Output, MIMO) transmission, P tXthe transmitted power of antenna, η pAthe efficiency of power amplifier, σ feedit is antenna feeder loss.
(3) for the method for power consumption values of calculating analog radio frequency unit energy consumption part, specifically comprise as follows:
P RF=P IQ+P K+P I+P U+P Time+P AD/DA
In formula, P rFfor the power consumption values of analog radio frequency unit energy consumption part, P iQfor power consumption values, the P of IQ signal modulator subconstiuent kfor the power consumption values of variable attenuator subconstiuent, power consumption values, the P that P is buffer register subconstiuent u1for forward voltage control oscillator subconstiuent, P u2for power consumption values, the P of feedback voltage control oscillator subconstiuent timefor power consumption values, the P of clock subconstiuent aDfor analog-to-digital conversion subconstiuent, P dAfor the power consumption values of digital-to-analogue conversion subconstiuent.
(4) for the method for the power consumption values of computingasystem environment energy consumption part, specifically comprise as follows:
P ov=(P BB+P RF+P PA)×((1+η cool)(1+η dcdc)(1+η acdc)-1)
In formula, P bBfor the power consumption of digital base band processor energy consumption part, P pAfor the power consumption values of power amplifier module energy consumption part, P rFfor the power consumption values of analog radio frequency unit energy consumption part, be the power consumption values of system environments energy consumption part, hacdcfor AC/DC conversion coefficient, hdcdcfor high low voltage transition coefficient, hcoolfor the cooling ratio of cooling package.Generally, hcool=10%, hdcdc=5%, hacdc=10%.
Step S30, determines the total energy consumption value of LTE private wireless network system according to the power consumption values of described calculating.
In one embodiment, by above-mentioned flow process, can be after definite network coverage scene and transmission plan, the GOPS substitution that the corresponding parameter such as antenna number, coded modulation scheme and antenna transmission power, cooperation transmission complexity are converted to is calculated, and obtains the system capacity consumption of the LTE wireless private network based on C-RAN framework.
In sum, technical scheme of the present invention, removes Base-Band Processing and feeder, cooling equal loss from distributed microcellulor L-RRH end, increases the CPRI interface energy consumption of Optical Fiber Transmission; Macrocellular H-RRH end removes Base-Band Processing part, retains feeder and cooling loss, increases the CPRI interface of Optical Fiber Transmission; Center Base-Band Processing BBU end increases Base-Band Processing (comprising cooperation transmission) part, increases the CPRI interface of Optical Fiber Transmission, increases coolingly, removes radio frequency and power amplifier PA part; Power amplifier PA part directly can calculate by transmitting power and power amplifier system; The extra energy consumption unification of system is calculated based on other three parts energy consumptions are fixing, needn't calculate separately in other processes.By above-mentioned modular division, set up the energy consumption model of system, in order to accurate Calculation system energy consumption, every part energy consumption has its corresponding entity physical location carrier, in the time that system configuration or signal processing algorithm change, can accurately reflect in real time that energy consumption that it brings changes, for network Estimation of energy consumption and control provide reference.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.

Claims (6)

1. an energy consumption detecting method for the LTE wireless private network based on C-RAN framework, is characterized in that, comprises the steps:
According to the energy consumption model of the Devices to test of setting up LTE private wireless network system of C-RAN framework; Wherein, described Devices to test comprises digital base band processor unit, macrocellular radio frequency unit and microcellulor radio frequency unit;
Described energy consumption model comprises digital base band processor energy consumption part, analog radio frequency unit energy consumption part, power amplifier module energy consumption part and system environments energy consumption part;
Described digital base band processor energy consumption module comprises that digital predistortion subconstiuent, filtering subconstiuent, multi-carrier transmission subconstiuent, linear frequency domain are processed subconstiuent, non-linear frequency domain is processed subconstiuent, optical communication interface subconstiuent, forward error correction coding subconstiuent, CPU subconstiuent;
Described analog radio frequency unit energy consumption part comprises IQ signal modulator subconstiuent, variable attenuator subconstiuent, buffer register subconstiuent, forward voltage control oscillator subconstiuent, feedback voltage control oscillator subconstiuent, clock subconstiuent, analog-to-digital conversion subconstiuent, digital-to-analogue conversion subconstiuent;
Described power amplifier module energy consumption part comprises maximum transmission power subconstiuent, efficiency power amplifier subconstiuent, antenna feed subconstiuent;
Described system environments energy consumption part comprises AC/DC conversion subconstiuent, high low voltage transition subconstiuent and cooling package subconstiuent.
In service at described Devices to test, calculate the power consumption values of the digital base band processor energy consumption part of Devices to test, power consumption values, the power consumption values of power amplifier module energy consumption part and the power consumption values of system environments energy consumption part of analog radio frequency unit energy consumption part;
Determine the total energy consumption value of LTE private wireless network system according to the power consumption values of described calculating.
2. the energy consumption detecting method of the LTE wireless private network based on C-RAN framework according to claim 1, is characterized in that, comprises according to the method for the power consumption values of the digital base band processor energy consumption part of described parameter value calculation Devices to test:
Calculate the summation of all subconstiuent energy consumptions of the digital base band processor energy consumption part of Devices to test:
P S=P DPD+P Filter+P OFDM+P FD,lin+P FD,nl+P CPRI+P FEC+P CPU
In formula, P sthe summation of all subconstiuent energy consumptions of digital base band processor energy consumption part, P dPDfor digital predistortion subconstiuent, P filterfor filtering subconstiuent, P oFDMfor multi-carrier transmission subconstiuent, P fD, linfor linear frequency domain is processed subconstiuent, P fD, nlfor non-linear frequency domain is processed subconstiuent, P cPRIfor optical communication interface subconstiuent, P fECfor forward error correction coding subconstiuent, be CPU subconstiuent P cPU;
Wherein, the power consumption of each subconstiuent, computing formula is as follows:
Figure FDA0000471547660000022
In formula, P is subconstiuent corresponding device energy consumption, unit watt, and GOPS is the gigabit per second count value of subconstiuent corresponding device energy consumption,
Figure FDA0000471547660000023
for the technological factor of subconstiuent corresponding device;
Calculate the power consumption of digital base band processor energy consumption part:
P BB=P S(1+η Leak)
In formula, P bBfor the power consumption of digital base band processor energy consumption part, η leakit is the compensation of the CMOS leakage current to Devices to test.
3. the energy consumption detecting method of the LTE wireless private network based on C-RAN framework according to claim 1, is characterized in that, the method for the power consumption values of rated output amplification module energy consumption part comprises:
P PA = N TX P TX η PA ( 1 - σ feed )
In formula, P pAfor the power consumption values of power amplifier module energy consumption part, N tXthe antenna amount that participates in MIMO transmission, P tXthe transmitted power of antenna, η pAthe efficiency of power amplifier, σ feedit is antenna feeder loss.
4. the energy consumption detecting method of the LTE wireless private network based on C-RAN framework according to claim 1, is characterized in that, the method for calculating the power consumption values of analog radio frequency unit energy consumption part comprises:
P RF=P IQ+P K+P I+P U1+P U2+P Time+P AD+P DA
In formula, P rFfor the power consumption values of analog radio frequency unit energy consumption part, P iQfor power consumption values, the P of IQ signal modulator subconstiuent kfor the power consumption values of variable attenuator subconstiuent, power consumption values, the P that P is buffer register subconstiuent u1for forward voltage control oscillator subconstiuent, P u2for power consumption values, the P of feedback voltage control oscillator subconstiuent timefor power consumption values, the P of clock subconstiuent aDfor analog-to-digital conversion subconstiuent, P dAfor the power consumption values of digital-to-analogue conversion subconstiuent.
5. the energy consumption detecting method of the LTE wireless private network based on C-RAN framework according to claim 1, is characterized in that, the method for the power consumption values of computingasystem environment energy consumption part comprises:
P ov=(P BB+P RF+P PA)×((1+η cool)(1+η dcdc)(1+η acdc)-1)
In formula, P bBfor the power consumption of digital base band processor energy consumption part, P pAfor the power consumption values of power amplifier module energy consumption part, P rFfor the power consumption values of analog radio frequency unit energy consumption part, be the power consumption values of system environments energy consumption part, η acdcfor AC/DC conversion coefficient, η dcdcfor high low voltage transition coefficient, η coolfor the cooling ratio of cooling package.
6. the energy consumption detecting method of the LTE wireless private network based on C-RAN framework according to claim 1, is characterized in that η cool=10%, η dcdc=5%, η acdc=10%.
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CN113726364A (en) * 2021-09-01 2021-11-30 广州开信通讯系统有限公司 Far-end device of multi-band signal receiving and transmitting system, multi-band signal receiving and transmitting system and power consumption metering method
CN113726364B (en) * 2021-09-01 2022-09-13 广州开信通讯系统有限公司 Far-end device of multi-band signal receiving and transmitting system, multi-band signal receiving and transmitting system and power consumption metering method

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