CN114339822A - Communication network energy efficiency optimization control system - Google Patents
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention relates to a communication network energy efficiency optimization control system, comprising: the system comprises a baseband unit subsystem and a remote unit subsystem, wherein the baseband unit subsystem is responsible for calculating the position of a terminal according to terminal measurement information, then calculating the distribution of each terminal in each remote unit based on the position information of the remote unit and the position information of the terminal, selecting the remote units with the number of terminals less than 1 threshold to close, and ensuring that the remote units around the closed remote units are opened; and the remote unit subsystem is responsible for communicating with the baseband unit subsystem and responding to start-stop operation. The invention selects the remote unit with the number less than the threshold 1 from the change of the number of the resident users of each remote unit through dynamic sensing, closes the remote unit and ensures the opening of the adjacent remote unit of the closed remote unit, thereby carrying out self-adaptive starting and stopping on the remote unit under the condition of ensuring that the communication is not interrupted and achieving the purpose of optimizing the energy efficiency.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a communication network energy efficiency optimization control system.
Background
With the rapid development of mobile communication, the traffic demand is increasing day by day, and meanwhile, the communication network is well-established, the number of mobile communication base stations is increased by times, the total power consumption of the base stations is more and more increased, the power consumption is reduced, the electric charge expenditure is reduced, and the problem concerned by access network owners becomes a problem concerned by the access network owners.
At present, aiming at the problems of energy conservation and emission reduction in the field of mobile communication, the industry mainly comprises the following schemes:
the design with high integration level is introduced, and the old high-energy-consumption traditional equipment is replaced by the equipment with low energy consumption, so that the aim of saving energy is fulfilled;
a new generation of energy-saving technology such as a cloud computing platform is introduced, the communication network service system is gradually moved up to the cloud platform through the construction of the cloud platform, and the number of server equipment is effectively reduced through the resource sharing of the cloud platform, so that the aim of saving energy is fulfilled;
in the existing network, the remote units are responsible for end coverage, the number of the remote units is closely related to the flow demand and the coverage area, and at present, when the flow is suddenly increased and the mobile communication is in widespread development, the number of the remote units is exponentially multiplied, and the energy consumption overhead of the remote units occupies most of the energy consumption of the access network, however, as analyzed above, the prior art starts from product design on one hand (corresponding to the first scheme) and starts from energy consumption control of equipment in a machine room in product application (such as core side equipment, base station baseband pool equipment, corresponding to the second scheme) and fails to start from energy consumption control of a considerable portion of remote equipment, so that the whole network energy consumption optimization effect needs to be improved, and therefore, a method for realizing access network energy consumption optimization based on energy consumption control of the remote units is provided, it is a problem to be solved by the industry.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the defects in the prior art are overcome, and the communication network energy efficiency optimization control system is provided.
The technical scheme adopted by the invention for solving the problems in the prior art is as follows:
the invention provides a communication network energy efficiency optimization control system, comprising: the baseband unit subsystem and the remote unit subsystem have the following functions: the baseband unit subsystem is responsible for calculating the position of the terminal according to the terminal measurement information, then calculating the distribution of each terminal in each remote unit based on the remote unit position information and the terminal position information, selecting the remote units with the number of the terminals less than 1 threshold to close, and ensuring the remote units around the closed remote units to be opened; the remote unit subsystem: the system is responsible for communicating with the baseband unit subsystem and responding to start-stop operation;
the baseband unit subsystem and the remote unit subsystem are matched with each other to optimize the energy efficiency of the communication network, and the method comprises the following steps:
step 1: clearing the closing alternative set A, the pre-opening set B and the pre-closing set SetShutdown;
step 2: the base band unit acquires the terminal number UE _ m _ n residing under each remote unit and divides all the remote units into sets A and B, wherein m is the number of the remote unit governed by the base band unit; n is the number of the terminal UE residing in the remote unit;
and step 3: the baseband unit selects a remote unit R with the least number of resident terminals from the set A;
and 4, step 4: the baseband unit judges whether the number U of the terminal residing under the remote unit R is less than or equal to a threshold 1, if so, the remote unit R is written into a set SetShutdown, the remote unit R and a neighbor remote unit set thereof are deleted from a set A, and finally the remote unit R is deleted from a set B;
and 5: judging whether the set A is empty, if so, skipping to the step 6, and if not, skipping to the step 3;
step 6: closing the remote units in the set SetShutdown, and opening the remote units in the set B;
the set A, the set B and the set SetShutdown are remote unit sets preset in the baseband unit subsystem.
Preferably, in step 2, the specific method for acquiring the number of terminals UE _ m _ n residing under each remote unit is:
step 2.1: the base band unit acquires the measurement information of each UE and the position coordinates of each remote unit;
step 2.2: the base band unit calculates the position coordinates of each UE according to the measurement information based on the positioning algorithm in the prior art;
and 2.3, the baseband unit calculates a remote unit closest to the UE, and determines the UE to reside under the nearest remote unit.
Preferably, in step 2.1, the position coordinates of each remote unit are recorded in a preset manner.
Preferably, the measurement information of each UE includes one or a combination of uplink measurement information and downlink measurement information of each UE.
Preferably, the measurement parameters specifically comprised by the measurement information are determined by the positioning algorithm in step 2.2.
Preferably, in step 4, the method for determining the neighboring remote unit set of the remote unit R includes:
obtaining the position coordinates of the remote unit R, and determining the remote units within the radius T range as the neighbor remote unit set of the remote unit R by taking the position coordinates of the remote unit R as the center, or
And selecting a remote unit with a distance not more than T from K remote units closest to the remote unit R from the set A, and determining the remote unit as a neighbor remote unit set of the remote unit R.
Preferably, in the step 6, the closing operation is to set the remote unit in a low power consumption state, where the low power consumption state is a state in which energy consumption is reduced compared with a normal operation mode;
and the starting operation is to assign the remote unit to return to the normal operation mode.
Preferably, the specific method for performing energy efficiency optimization of the communication network by the mutual cooperation of the baseband unit subsystem and the remote unit subsystem further includes executing step 1 and step 2 based on a preset time period.
Preferably, the specific method for performing energy efficiency optimization of the communication network by the mutual cooperation of the baseband unit subsystem and the remote unit subsystem further includes executing step 1 and step 2 based on a condition triggering manner.
Compared with the prior art, the invention has the following beneficial effects:
the invention selects the remote unit with the number less than the threshold 1 from the change of the number of the resident users of each remote unit through dynamic sensing, closes the remote unit and ensures the opening of the adjacent remote unit of the closed remote unit, thereby carrying out self-adaptive starting and stopping on the remote unit under the condition of ensuring that the communication is not interrupted and achieving the purpose of optimizing the energy efficiency.
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The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention;
fig. 3 is a schematic view of the present invention covering a site.
Detailed Description
In order to make the technical solution and the advantages of the present invention clearer, the following explains embodiments of the present invention in further detail.
As shown in fig. 1 and 2, the present invention provides a communication network energy efficiency optimization control system, including: the baseband unit subsystem and the remote unit subsystem have the following functions: the baseband unit subsystem is responsible for calculating the position of the terminal according to the terminal measurement information, then calculating the distribution of each terminal in each remote unit based on the remote unit position information and the terminal position information, selecting the remote units with the number of the terminals less than 1 threshold to close, and ensuring the remote units around the closed remote units to be opened; the remote unit subsystem: the system is responsible for communicating with the baseband unit subsystem and responding to start-stop operation;
the baseband unit subsystem and the remote unit subsystem are matched with each other to optimize the energy efficiency of the communication network, and the method comprises the following steps:
step 1: clearing the closing alternative set A, the pre-opening set B and the pre-closing set SetShutdown;
step 2: the method comprises the steps that a baseband unit obtains the number UE _ M _ n of terminals residing under each remote unit, and divides all remote units into sets A and B, wherein M is the number of the remote unit governed by the baseband unit and takes the values 1, 1.. and M; n is the number of the terminal UE residing in the remote unit, and takes values of 1, 1. m and n are sequentially valued from 1, and M, N respectively represents the maximum number of the remote unit and the maximum number of the terminal UE;
and step 3: the baseband unit selects a remote unit R with the least number of resident terminals from the set A;
and 4, step 4: the baseband unit judges whether the number U of the terminal residing under the remote unit R is less than or equal to a threshold 1, if so, the remote unit R is written into a set SetShutdown, the remote unit R and a neighbor remote unit set thereof are deleted from a set A, and finally the remote unit R is deleted from a set B;
and 5: judging whether the set A is empty, if so, skipping to the step 6, and if not, skipping to the step 3;
step 6: closing the remote units in the set SetShutdown, and opening the remote units in the set B;
the set A, the set B and the set SetShutdown are remote unit sets preset in the baseband unit subsystem.
The invention also provides a communication network energy efficiency optimization control method from step 1 to step 6.
The existing communication base station mostly adopts a distributed base station architecture, the distributed base station divides the traditional base station equipment into two functional modules according to functions, wherein the functions of a base Band, a master control, transmission, a clock and the like of the base station are integrated on a module called a Base Band Unit (BBU), and the base Band unit has small volume and very flexible installation position; radio frequency in a transceiver, a power amplifier and the like is integrated on another Radio frequency module called as a far-end Radio frequency module, and a Radio frequency unit RRU (remote Radio unit) is installed at an antenna end. The radio frequency unit and the baseband unit are connected through optical fibers to form a brand-new solution of the distributed base station.
The distributed base station architecture is divided into an indoor type and an outdoor type, and the outdoor coverage is composed of the BBU + RRU; the indoor coverage is composed of BBU + HUB + PRRU, the HUB is a multi-port transponder (HUB) and plays a role in gathering data and converting formats, the PRRU is pico + RRU, and pico means small and micro. The RRU and the PRRU are remote units, and the BBU is a baseband unit.
In step 2, the specific method for acquiring the number of terminals UE _ m _ n residing under each remote unit is as follows:
step 2.1: the base band unit acquires the measurement information of each UE and the position coordinates of each remote unit;
step 2.2: the base band unit calculates the position coordinates of each UE according to the measurement information based on the positioning algorithm in the prior art;
and 2.3, the baseband unit calculates a remote unit closest to the UE, and determines the UE to reside under the nearest remote unit.
In the step 2.1, the position coordinates of each remote unit are recorded in a preset mode.
The measurement information of each UE includes one or a combination of uplink measurement information and downlink measurement information of each UE. The measurement parameters specifically comprised by the measurement information are determined by the positioning algorithm in step 2.2.
The positioning algorithm comprises any one or combination of a plurality of fingerprint positioning methods, TDOA positioning methods and AOA + TA positioning methods.
The measurement quantity related to the fingerprint positioning method is received power, TDOA (time difference of arrival), the measurement quantity related to the fingerprint positioning method is timing advance, and the measurement quantity related to AOA + TA (angle of arrival + timing advance) is angle of arrival and timing advance. The fingerprint positioning (finger-printing localization) algorithm is a set of algorithms provided based on different signal strength information formed at different positions by the reflection and refraction of signals due to the complex indoor environment. The fingerprint algorithm can well utilize Signal information formed by reflection and refraction, a fingerprint Signal Strength database is firstly generated offline, and the position distance is calculated through a group of actually measured RSSI (Received Signal Strength Indication) values in online positioning.
TDOA location is a method of location using time differences. By measuring the time of arrival of the signal at the monitoring station, the distance of the signal source can be determined. The location of the signal can be determined by the distance from the signal source to each monitoring station (taking the monitoring station as the center and the distance as the radius to make a circle). However, the absolute time is generally difficult to measure, and by comparing the absolute time difference of the arrival of the signal at each monitoring station, a hyperbola with the monitoring station as the focus and the distance difference as the major axis can be formed, and the intersection point of the hyperbola is the position of the signal.
The AOA positioning method mainly measures the arrival angle between a signal mobile station and a base station, rays formed by taking the base station as a starting point must pass through the mobile station, and the intersection point of the two rays is the position of the mobile station. The method can determine the estimated position of the MS only by two base stations; the TA + AoA positioning method is usually only used for network-based positioning, mainly because AoA can only be measured by the base station, i.e. all measurements related to the positioning method are provided by the base station. These measurements can be provided by the base station to the positioning server, so that the purpose of positioning can be achieved by supporting network-based positioning. Therefore, the method also brings an advantage that the terminal which does not support the positioning service can be positioned by the method.
Measuring the angle and time advance corresponding to the parameter by an AOA + TA positioning algorithm; the fingerprint positioning algorithm measures the corresponding receiving power of the parameter; and the TDOA positioning algorithm measures the time advance corresponding to the parameter.
In step 4, the method for determining the neighboring remote unit set of the remote unit R includes:
obtaining the position coordinates of the remote unit R, and determining the remote units within the radius T range as the neighbor remote unit set of the remote unit R by taking the position coordinates of the remote unit R as the center, or
And selecting a remote unit with a distance not more than T from K remote units closest to the remote unit R from the set A, and determining the remote unit as a neighbor remote unit set of the remote unit R.
In the step 6, the closing operation is to set the remote unit to be in a low power consumption state, where the low power consumption state is a state where energy consumption is reduced compared with a normal operation mode;
and the starting operation is to assign the remote unit to return to the normal operation mode.
The low power consumption state includes partial module shutdown (for example, a radio frequency link power amplifier is turned off), partial time frequency resource shutdown (for example, only a part of broadcast channels are transmitted, and other channels are not transmitted), transmit power reduction (for example, transmit power is reduced by 3db as a whole), and the like, which is not limited herein.
The specific method for performing the energy efficiency optimization of the communication network by the mutual cooperation of the baseband unit subsystem and the remote unit subsystem further comprises the step 1 and the step 2 which are executed based on a preset time period.
The specific method for performing the communication network energy efficiency optimization by the mutual cooperation of the baseband unit subsystem and the remote unit subsystem further comprises the step 1 and the step 2 which are executed based on a condition triggering mode.
The preset conditions triggered by the conditions include, but are not limited to, the number of remote units with the number of resident users smaller than a threshold 1 being greater than a threshold, the total number of resident users of the baseband unit subsystem being smaller than a threshold 3, and the like.
The following describes a specific implementation of an energy efficiency optimization control system of a power communication system with specific embodiments:
example (b): as shown in fig. 3, in this embodiment, a remote unit subsystem includes 8 remote units, that is, a remote unit 1, a remote unit 2, a remote unit 3, a remote unit 4, a remote unit 5, a remote unit 6, a remote unit 7, and a remote unit 8, 32 UEs accessing to the present network are, that is, UEs 1-UE32, in this embodiment, positioning is performed by using a fingerprint method, and a position of a terminal is calculated based on uplink signal received power (measurement amount), in this embodiment, a time period triggering scheme is adopted, that is, a remote unit start-stop determination and start-stop operation are triggered once per cycle (in this embodiment, 2 seconds is used) according to a preset period, and in addition, a method for determining a neighboring remote unit set of the remote unit R in this embodiment is: the coordinate of the remote unit R is taken as the center, the remote units within the radius T are determined as the neighbor remote unit set of the remote unit R, and in addition, the threshold 1 is set to be 3. When a certain start-stop period triggering time comes, the operation is performed as follows.
The baseband module calculates the position coordinates of 32 UEs according to uplink received power measurements of the remote units with respect to 32 UEs based on a fingerprinting method, the baseband module determines the remote unit distributed by the UE from the remote unit closest to the UE by calculating the distance between the UE and the remote unit based on the position coordinates of 8 remote units, and determines that the trigger time UE1-UE6 is closest to the remote unit 1, UE7 is closest to the remote unit 2, UE8-UE10 is closest to the remote unit 3, UE11-UE13 is closest to the remote unit 4, UE14-UE15 is closest to the remote unit 5, UE16-UE22 is closest to the remote unit 6, UE23-UE25 is closest to the remote unit 7, UE26-UE32 is closest to the remote unit 8, and the UE position distribution specifically refers to fig. 3, and 8 remote units are divided into sets a and B, respectively.
Then, the baseband unit selects the remote unit with the minimum number of the resident users from the set a, and as can be seen from the above data, the number of the resident users of the remote unit 2 is the minimum, and there is only one UE, so the remote unit R with the minimum number of the resident users is the remote unit 2, and the number U of the resident users of the remote unit 2 is equal to 1.
Next, the baseband unit determines whether U is less than or equal to a threshold 1 (the value of this embodiment is 3), and since U is less than or equal to 3, the remote unit 2 is written into the subset setshutdowno, meanwhile, in this embodiment, a method of "the remote unit R coordinate is used as the center, and the remote unit within the radius T range is determined as a neighboring remote unit set of the remote unit R" is adopted, referring to fig. 3, the neighboring remote unit set of the remote unit 2 includes: the remote unit 1, the remote unit 3, the remote unit 4, and the remote unit 5, and then the remote unit 2, the remote unit 1, the remote unit 3, the remote unit 4, and the remote unit 5 are deleted from the set a, and at this time, the set a only remains the remote unit 6 (the resident user number 7), the remote unit 7 (the resident user number 3), and the remote unit 8 (the resident user number 7); finally, the remote unit 2 is deleted from the set B.
Then, the baseband unit determines that a is not empty, and therefore, continues to select the remote unit with the smallest number of resident users from the set a, and as can be seen from the above data, the number of resident users of the remote unit 7 is the smallest, and only 3 UEs are present, so the remote unit R with the smallest number of resident users is the remote unit 7, and the number U of resident users of the remote unit 7 is equal to 3 (it is noted that, by adopting the solution of the present invention, when the remote unit that needs to be closed is selected, the remote units adjacent to the remote unit to be closed are protectively deleted from the closing alternative queue, i.e., the set a, so even if the remote unit with the smallest number of resident users is selected for the second time in the operation, the number of resident users of the remote unit 5 is only two, which is less than the number 3 of resident users of the remote unit 7, but the remote unit 5 is not closed, but the remote unit 7 is closed, by the policy, the remote unit 5 can provide service for the terminal residing under the remote unit 2, that is, the signal of the remote unit around the closed remote unit 2 can serve the UE residing under the remote unit 2, and even if part of the remote units are closed, the service of the UE in the relevant area is not affected);
next, the baseband unit determines whether U is less than or equal to a threshold 1 (the value of this embodiment is 3), and since U is less than or equal to 3, the remote unit 7 is written into the subset SetShutdown, and meanwhile, in this embodiment, a method of "a remote unit R coordinate is used as a center, and a remote unit within a radius T range is determined as a neighboring remote unit set of the remote unit R" is adopted, referring to fig. 3, the neighboring remote unit set of the remote unit 7 includes: the remote unit 5, the remote unit 6, and the remote unit 8, and then the remote units 7, 6, and 8 are deleted from the set a (since there is no remote unit 5 in the set a at this time, the remote unit 5 does not need to be deleted), and the remote unit 7 is deleted from the set B, at this time, the set a is empty, and the subset setshuttdown includes the remote unit 2 and the remote unit 7.
Then, the baseband unit determines that a is empty, and then turns off the remote units in the subset setshutdownand turns on the remote units in the set B, i.e., the remote units 1, 3, 4, 5, 6, and 8.
It can be seen from this embodiment that, compared with the prior art, in this embodiment, under the condition of 8 remote units, two of the remote units can be turned off in this period by dynamically turning on and turning off the remote units, so that the power is saved by 25%, and the UE residing under the turned-off remote unit is covered by signals of neighboring remote units of the turned-off remote unit and provides service for the UE, so that the turning off of the remote unit has little influence on the UE service. By adopting the method, the change of the number of the resident users of each remote unit is dynamically sensed, the remote units with the number of users smaller than the threshold 1 are selected from the change, and the remote units around the closed remote units are ensured to be opened, so that the remote equipment is adaptively started and stopped under the condition of ensuring that the communication is not interrupted, and the aim of optimizing the energy efficiency is fulfilled.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (9)
1. Communication network efficiency optimal control system, its characterized in that includes: the baseband unit subsystem and the remote unit subsystem have the following functions:
the baseband unit subsystem: the terminal is responsible for calculating the position of the terminal according to the terminal measurement information, then calculating the distribution of each terminal in each remote unit based on the remote unit position information and the terminal position information, selecting the remote units with the number of the terminals less than the threshold 1 for closing, and ensuring the remote units around the closed remote units to be opened;
the remote unit subsystem: the system is responsible for communicating with the baseband unit subsystem and responding to start-stop operation;
the baseband unit subsystem and the remote unit subsystem are matched with each other to optimize the energy efficiency of the communication network, and the method comprises the following steps:
step 1: clearing the set A, the set B and the set SetShutdown;
step 2: the base band unit acquires the terminal number UE _ m _ n residing under each remote unit and divides all the remote units into sets A and B, wherein m is the number of the remote unit governed by the base band unit; n is the number of the terminal UE residing in the remote unit;
and step 3: the baseband unit selects a remote unit R with the least number of resident terminals from the set A;
and 4, step 4: the baseband unit judges whether the number U of the terminal residing under the remote unit R is less than or equal to a threshold 1, if so, the remote unit R is written into a set SetShutdown, the remote unit R and a neighbor remote unit set thereof are deleted from a set A, and finally the remote unit R is deleted from a set B;
and 5: judging whether the set A is empty, if so, skipping to the step 6, and if not, skipping to the step 3;
step 6: closing the remote units in the set SetShutdown, and opening the remote units in the set B;
the set A, the set B and the set SetShutdown are remote unit sets preset in the baseband unit subsystem.
2. The communication network energy efficiency optimization control system according to claim 1, characterized in that:
in step 2, the specific method for acquiring the number of terminals UE _ m _ n residing under each remote unit is as follows:
step 2.1: the base band unit acquires the measurement information of each UE and the position coordinates of each remote unit;
step 2.2: the base band unit calculates the position coordinates of each UE according to the measurement information based on the positioning algorithm in the prior art;
and 2.3, the baseband unit calculates a remote unit closest to the UE, and determines the UE to reside under the nearest remote unit.
3. The communication network energy efficiency optimization control system according to claim 2, characterized in that:
in the step 2.1, the position coordinates of each remote unit are recorded in a preset mode.
4. The communication network energy efficiency optimization control system according to claim 2, characterized in that:
the measurement information of each UE includes one or a combination of uplink measurement information and downlink measurement information of each UE.
5. The communication network energy efficiency optimization control system according to claim 4, wherein:
the measurement parameters specifically comprised by the measurement information are determined by the positioning algorithm in step 2.2.
6. The communication network energy efficiency optimization control system according to claim 1, characterized in that:
in step 4, the method for determining the neighboring remote unit set of the remote unit R includes:
obtaining the position coordinates of the remote unit R, and determining the remote units within the radius T range as the neighbor remote unit set of the remote unit R by taking the position coordinates of the remote unit R as the center, or
And selecting a remote unit with a distance not more than T from K remote units closest to the remote unit R from the set A, and determining the remote unit as a neighbor remote unit set of the remote unit R.
7. The communication network energy efficiency optimization control system according to any one of claims 1 to 6, characterized in that:
in the step 6, the closing operation is to set the remote unit to be in a low power consumption state, where the low power consumption state is a state where energy consumption is reduced compared with a normal operation mode;
and the starting operation is to assign the remote unit to return to the normal operation mode.
8. The communication network energy efficiency optimization control system according to claim 7, characterized in that:
the specific method for performing the energy efficiency optimization of the communication network by the mutual cooperation of the baseband unit subsystem and the remote unit subsystem further comprises the step 1 and the step 2 which are executed based on a preset time period.
9. The communication network energy efficiency optimization control system according to claim 7, characterized in that:
the specific method for performing the communication network energy efficiency optimization by the mutual cooperation of the baseband unit subsystem and the remote unit subsystem further comprises the step 1 and the step 2 which are executed based on a condition triggering mode.
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