CN107124759B - Method and equipment for selecting synchronous transmission node in virtual cell - Google Patents

Method and equipment for selecting synchronous transmission node in virtual cell Download PDF

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CN107124759B
CN107124759B CN201610105555.1A CN201610105555A CN107124759B CN 107124759 B CN107124759 B CN 107124759B CN 201610105555 A CN201610105555 A CN 201610105555A CN 107124759 B CN107124759 B CN 107124759B
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virtual cell
synchronous
throughput
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CN107124759A (en
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张鸿涛
杨梓华
陆海涛
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Nanjing ZTE New Software Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
    • H04W36/302—Reselection being triggered by specific parameters by measured or perceived connection quality data due to low signal strength
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W56/00—Synchronisation arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W56/00—Synchronisation arrangements
    • H04W56/003—Arrangements to increase tolerance to errors in transmission or reception timing
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    • 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
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    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a method and equipment for selecting synchronous transmission nodes in a virtual cell, and belongs to the technical field of wireless communication. The method comprises the following steps: calculating the throughput and the backhaul overhead of the virtual cell; and calculating energy efficiency of all synchronous TP combinations meeting the conditions in the virtual cell according to the calculated throughput and return cost of the virtual cell to obtain an optimal synchronous TP set of the virtual cell. The invention also discloses a device for selecting the synchronous transmission node TP in the virtual cell. The TP selection algorithm adopted by the technical scheme can improve the organization efficiency of the virtual cells in the ultra-dense network deployment scene, the number of synchronous TPs for forming the virtual cells is small, the data synchronization overhead is reduced, and meanwhile the maximum throughput of the virtual cells can be ensured.

Description

Method and equipment for selecting synchronous transmission node in virtual cell
Technical Field
The invention relates to the technical field of wireless communication, in particular to a scheme consisting of virtual cells with users as centers under an ultra-dense network scene in a fifth generation mobile communication system (5G).
Background
An Ultra Dense Network (UDN) is one of the key technologies of the fifth generation (5G) mobile communication, and a large number of microcell base stations are deployed in indoor traffic-intensive scenes such as office buildings, supermarkets, train stations, stadiums, dense residential areas and the like, so that the coverage is improved, the data service transmission rate is increased, the 1000-time data service volume requirement of the future 5G mobile communication is met, and the large number of miniaturized base stations deployed indoors becomes an important direction for the development of the future mobile communication.
However, as the deployment density of the small base stations increases, the problem of inter-cell interference becomes more prominent, and the throughput and the working efficiency of a single transmission node (TP) are significantly reduced. Therefore, an advanced interference management and control technology is researched aiming at the characteristics of an ultra-dense network, the work efficiency of the network is improved, and the method is one of important directions of 5G mobile communication research, wherein the virtual cell technology is an effective method for solving the problem of interference of an ultra-dense networking scene.
The virtual cell is centered on the user terminal, and a plurality of TPs around the user constitute the virtual cell of the user, providing services to the user according to the user's needs. The TP of the virtual cell is divided into a Service TP and a synchronization TP, the Service TP is a TP currently providing a Service for the terminal, and the synchronization TP is a TP that does not provide a Service for the terminal, but has made resource reservation and data preparation and can provide a Service for the terminal at any time, so that when the terminal moves and performs Service TP switching, the synchronization TP can immediately provide a Service for the terminal, and relatively stable QoS (Quality-of-Service) is ensured. The TP in the virtual cell has better link quality with the terminal, the virtual cell is rapidly updated along with the movement of the terminal and the change of the network environment, namely new TP is continuously added, and meanwhile, old TP exits from the virtual cell, thereby ensuring better link quality between the TP terminals of the virtual cell.
Service TP switching in the terminal moving process is called service hit if the switched new service TP is synchronous TP in the virtual cell, otherwise, the service is called service miss. When the service is hit, stable service connection can be kept; if the service is not hit, the preparation of switching data needs to be carried out again, and the service performance of the terminal is reduced. Obviously, the greater the number of synchronous TPs constituting a virtual cell, the higher the hit rate, the better the QoS guaranteed in the terminal moving process, but on the other hand, the more the synchronous TPs of the virtual cell need to increase signaling and data overhead, and the excessive TPs may cause waste of system resources, affecting the overall system efficiency.
Therefore, how to select the synchronous TPs of the virtual cell is to minimize the number of TPs forming the virtual cell, but to ensure a high hit rate of the service TP switching during the terminal moving process, which is a key problem to be solved for forming the virtual cell.
Disclosure of Invention
The invention provides a method and equipment for selecting synchronous transmission nodes in a virtual cell, which can solve the problems of more transmission nodes and low switching hit rate in the existing virtual cell.
The invention discloses a method for selecting a synchronous transmission node TP in a virtual cell, which comprises the following steps:
calculating the throughput and the backhaul overhead of the virtual cell;
and calculating energy efficiency of all synchronous TP combinations meeting the conditions in the virtual cell according to the calculated throughput and return cost of the virtual cell to obtain an optimal synchronous TP set of the virtual cell.
Optionally, in the method, the calculating the throughput of the virtual cell includes:
calculating the sum rate provided by the synchronous TP set in the virtual cell to the user;
calculating the interruption probability of the virtual cell to obtain the uninterrupted probability;
and calculating the throughput of the virtual cell according to the sum rate provided by the synchronous TP set for the user and the uninterrupted probability of the virtual cell.
Optionally, in the above method, the sum rate r (n) provided to the user by the synchronization TP set in the virtual cell is calculated by using the following formula:
Figure GDA0002400193110000021
wherein N represents the selected set of synchronized TPs,
Figure GDA0002400193110000031
representing the channel fading between user j and TPn,
Figure GDA0002400193110000032
representing the user-side received power, σ2Representing the power variance of the noise, pnRepresenting the transmit power of the TPn.
Optionally, in the foregoing method, the outage probability of the virtual cell is calculated by using the following formula:
Figure GDA0002400193110000033
optionally, in the foregoing method, the following formula is adopted to calculate the throughput of the virtual cell:
Figure GDA0002400193110000034
optionally, in the above method, the backhaul overhead includes:
the consumption of the fiber backhaul link, and the consumption of the wireless self-backhaul link.
Optionally, in the foregoing method, the backhaul overhead is calculated by using the following formula:
Figure GDA0002400193110000035
therein, maxdlIs the sink node downlink interface maximum;
Figure GDA0002400193110000036
represents the energy consumption of one exchange in the sink node;
Nul，Pulrepresenting the number of uplink interfaces and the consumption of one uplink interface;
Pdlrepresents the consumption of one downlink interface;
Rmaxrepresents an uplink maximum transmission rate;
n represents the selected set of synchronized TPs;
Rithe data traffic of the ith base station in the selected synchronous TP set.
Optionally, in the above method, the energy efficiency of all eligible synchronization TP combinations in the virtual cell is calculated by using the following formula:
Figure GDA0002400193110000041
the invention also discloses a device for selecting the synchronous transmission node TP in the virtual cell, which comprises:
a first unit that calculates throughput and backhaul overhead of a virtual cell;
and the second unit calculates the energy efficiency of all synchronous TP combinations meeting the conditions in the virtual cell according to the calculated throughput and return cost of the virtual cell to obtain the optimal synchronous TP set of the virtual cell.
Optionally, in the above apparatus, the process of calculating the throughput of the virtual cell by the first unit includes:
calculating the sum rate provided by the synchronous TP set in the virtual cell to the user;
calculating the interruption probability of the virtual cell to obtain the uninterrupted probability;
and calculating the throughput of the virtual cell according to the sum rate provided by the synchronous TP set for the user and the uninterrupted probability of the virtual cell.
Optionally, in the above apparatus, the first unit calculates a sum rate r (n) provided to the user by the synchronization TP set in the virtual cell by using the following formula:
Figure GDA0002400193110000042
wherein N represents the selected set of synchronized TPs,
Figure GDA0002400193110000043
representing the channel fading between user j and TPn,
Figure GDA0002400193110000044
representing the user-side received power, σ2Representing the power variance of the noise, pnRepresenting the transmit power of the TPn.
Optionally, in the above apparatus, the outage probability of the virtual cell is calculated by using the following formula:
Figure GDA0002400193110000045
optionally, in the above apparatus, the first unit calculates throughput of the virtual cell by using the following formula:
Figure GDA0002400193110000051
optionally, in the above apparatus, the backhaul overhead includes:
the consumption of the fiber backhaul link, and the consumption of the wireless self-backhaul link.
Optionally, in the above apparatus, the backhaul overhead is calculated by using the following formula:
Figure GDA0002400193110000052
therein, maxdlIs the sink node downlink interface maximum;
Figure GDA0002400193110000053
represents the energy consumption of one exchange in the sink node;
Nul，Pulrepresenting the number of uplink interfaces and the consumption of one uplink interface;
Pdlrepresents the consumption of one downlink interface;
Rmaxrepresents an uplink maximum transmission rate;
n represents the selected set of synchronized TPs;
Rithe data traffic of the ith base station in the selected synchronous TP set.
Optionally, in the above apparatus, the following formula is used to calculate the energy efficiency of all eligible synchronization TP combinations in the virtual cell:
Figure GDA0002400193110000054
the TP selection algorithm adopted by the technical scheme can improve the organization efficiency of the virtual cells in the ultra-dense network deployment scene, the number of synchronous TPs for forming the virtual cells is small, the data synchronization overhead is reduced, and meanwhile the maximum throughput of the virtual cells can be ensured.
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Fig. 1 is a flow chart of the present invention for performing selection of a synchronous transmission node in a virtual cell;
FIG. 2 is a schematic diagram of a system model of an ultra-dense network in an embodiment of the invention;
FIG. 3 is a simulation diagram illustrating the effect of the number of virtual cell TPs on energy efficiency according to an embodiment of the present invention;
FIG. 4 is a simulation diagram illustrating the effect of target rate on energy efficiency in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in further detail with reference to specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be arbitrarily combined with each other without conflict.
Example 1
The inventors of the present application propose that at least three factors need to be considered for the synchronized TP selection of a virtual cell.
First, since the mobile users have different service types and different requirements, the target rates of the users are different, and the selection algorithm needs to meet the different requirements of each user.
Second, in order to ensure a sufficiently high sum rate of the synchronized TP, in such a case, it is necessary to ensure a higher rate when the user connects to the synchronized TP, resulting in better service.
Third, to keep the overhead low, synchronizing user information to the synchronized TP incurs signaling and power consumption, and therefore needs to be reduced.
Based on the above thought, the present embodiment provides a method for selecting a synchronization TP in a virtual cell, as shown in fig. 1, which mainly includes the following operations:
step 100, calculating the throughput of the virtual cell;
in this step, the serving TP may determine a virtual cell TP list according to the received user measurement report, thereby calculating the throughput of the virtual cell.
Step 200, calculating the return cost of the virtual cell;
in this step, the backhaul overhead may be calculated by the serving TP according to the status of the backhaul link of each TP.
And step 300, calculating energy efficiency, simplifying and determining the optimal synchronous TP set of the virtual cell.
In this step, energy efficiency is calculated for all eligible synchronization TP combinations in the virtual cell mainly according to the calculated throughput and backhaul overhead of the virtual cell, and finally an optimal synchronization TP set of the virtual cell is obtained. Namely, traversing all synchronous TP combinations meeting the conditions in the virtual cell, and selecting a TP set with the highest ratio of actual throughput to overhead, wherein the TP set is the synchronous TP set with the optimal performance after balancing the actual throughput and the overhead.
It is noted that the present embodiments model power consumption in scenarios consistent with ultra-dense network deployment. Consumption here mainly refers to consumption when pushing data from the core network through the backhaul link. Therefore, the algorithm adopted by the embodiment mainly performs detailed modeling and analysis on the power consumption of the fiber backhaul and the wireless backhaul.
The following describes the implementation process of the above method in specific applications with reference to the drawings.
Fig. 2 is a system architecture and scenario for a specific application, TP-intensive deployment in a dense neighborhood scenario for UDN. The black TP represents the TP currently serving the user. As the user moves, the virtual cell centered on the user is updated from the virtual cell of the first elliptical area to the virtual cell of the second area. At the same time, it is necessary to select synchronization TPs, i.e. the grey ones in the figure, in the new virtual cell and synchronize data from the core network to these synchronization TPs.
We divide the network into two layers. The first layer is that the macro cell gets data from the core network to provide coverage. Data is pushed to the sink node from the core network through the optical fiber link, and the sink node is pushed to the macro cell through the optical fiber link. The second layer is composed of TP, and obtains data from the macro cell of the upper layer through a self-backhaul link, so as to improve the coverage of the UDN network, realize the random deployment of transmission nodes, and further improve the capacity of the UDN network.
Implementation of the present scheme may be performed by the service TP. The user reports the measurement information to the service TP, which executes a synchronization TP selection algorithm to select a final synchronization TP.
The user selects the TP with the strongest downlink RSRP as the service TP according to the cell selection criterion in L TE, and reports the measured RSRP information of the TP which can be received to the service TP., according to the algorithm in the scheme, after selecting the synchronization TP., the service TP informs the related TP to join the virtual cell through X2 port signaling according to the selection result.
The synchronous TP selection steps in the virtual cell are as follows:
step 200, calculating the throughput of the virtual cell.
In this step, the user can select the TP with the strongest RSRP to serve TP. serving TPs according to L TE cell selection criteria, and create a virtual cell TP list according to the downlink RSRP measurement report of the TPs that the user can receive reported, enumerate all possible synchronized TP sets according to constraints, N ∈L, and calculate the throughput of the virtual cell according to this TP list.
Suppose that the network consists of J UEs and M TPs, frequency multiplexed between the TPs. In the channel model, we consider path loss and rayleigh fading, but ignore the power control effect.
Figure GDA0002400193110000081
Representing the channel fading between user j and TP n,
Figure GDA0002400193110000082
representing the user-side received power, σ2Representing the power variance of the noise, pnThe transmit power of TP N is represented by set N, which represents the selected set of synchronized TPs, and the sum rate that this set can provide to the user can be expressed as:
Figure GDA0002400193110000083
next, we define the outage probability. The outage probability represents that given a SINR threshold, service is interrupted if the SINR value of the current serving TP is less than the threshold. According to equation (1), different SINR thresholds will correspond to different rates, and thus the rate is defined as the target rate.
Under the rayleigh fading channel, for a user to be simultaneously served by cooperative cells with a set N, that is, a multi-input single-output link, the outage probability is:
Figure GDA0002400193110000084
the throughput "goodput" is then obtained, which is a measure of the capacity in the wireless fading channel, taking into account the probability of transmission errors, representing the capacity successfully received at the receiving end, and is obtained by multiplying the sum rate provided to the users by the probability of non-interruption:
Figure GDA0002400193110000091
at step 210, a backhaul overhead is calculated.
Information synchronization of a cell is a process of pushing data from a core network to a synchronous TP via an optical fiber link and a wireless link, as shown in fig. 2. In CoMP, the cooperating cells need to share data, and also push data from the core network to the TP via the backhaul link. The two data pushing processes can be considered the same, and their overhead is the power consumption of the backhaul link. The difference between cell information synchronization and CoMP is that synchronization information needs to be pushed only through the backhaul link and data does not need to be transmitted to the user at the same time. We can therefore define the overhead of synchronizing data in the virtual cell by taking into account the backhaul power consumption of transmitting data in CoMP:
Figure GDA0002400193110000092
Figure GDA0002400193110000093
representing the consumption of the fiber backhaul link,
Figure GDA0002400193110000094
representing the consumption of the wireless self-backhaul link.
The overhead calculation formula of the backhaul link is as follows:
Figure GDA0002400193110000095
wherein maxdlFor the downlink interface maximum at the sink node,
Figure GDA0002400193110000096
representing the energy consumption of a switch in the sink node, Nul，PulRepresenting the number of uplink interfaces and the consumption of one uplink interface. PdlRepresenting the consumption of one downlink interface. RmaxRepresenting an uplink maximum transmission rate. N represents the selected set of synchronized TPs, RiThe data traffic of the ith base station in the selected synchronous TP set.
Step 220, energy efficiency calculation and simplification, and determining an optimal synchronous TP set of the virtual cell.
With an analysis of the synchronization information overhead, refining the power consumption required for synchronization information, we get a definition on energy efficiency:
Figure GDA0002400193110000097
the numerator represents the actual throughput, and is related to the user target rate and the number of synchronized TPs selected. The more synchronization TPs are selected, the higher the resultant rate. The denominator represents the overhead of synchronizing data. The more number of synchronization TPs are selected, the greater the overhead. We want to select a set of synchronized TPs that has the least overhead, i.e., the highest energy efficiency, with the highest sum rate, so we define the objective function:
Figure GDA0002400193110000101
where N ismaxL represents the permutation and combination mode of all TPs in the virtual cell, i.e. the set of all possible synchronous TP sets, according to the objective function, the selected synchronous TP set makes the whole expression reach the maximum value, i.e. one synchronous TP set with large resultant rate and small cost is selected, the balance of the resultant rate and the cost is completedObtaining:
Figure GDA0002400193110000102
since the overhead definition of the synchronization data is complex, it is analyzed here to simplify the operation, and the algorithm for obtaining the selection synchronization TP is:
Figure GDA0002400193110000103
in this embodiment, the core idea of the synchronized TP selection algorithm is that throughput and overhead are compromised, and a set with the highest ratio of actual throughput to overhead is selected by traversing all eligible synchronized TP combinations in the virtual cell, so that the set is the synchronized TP set with the best performance after balancing actual throughput and overhead.
The effect of TP selection of a virtual cell according to the technical solution of the present application can be seen from the simulation results shown in fig. 3 and fig. 4. Therein, fig. 3 illustrates the effective impact of the number of virtual cell TPs on the energy of the synchronized TP set. It can be seen from fig. 3 that when the number of virtual cell TPs is equal to or less than 6, the energy efficiency of the selected set increases as the number of virtual cell TPs increases. But with a number of TPs greater than 6, the energy efficiency of the selected set increases slowly. If the number of the virtual cells is too small, the selection margin of the user is very small, and a set with the optimal performance cannot be selected. Too many TP numbers would make the combination of traversals too complex for the algorithm. Therefore, when the number of virtual cells TP is 6, the performance of the selected set is optimal.
Fig. 4 illustrates the impact of different target rates on the energy efficiency of a synchronous TP set. The target rate is calculated from the corresponding SINR threshold. As can be seen from FIG. 4, the higher the user target rate when the target rate is less than 1bps/hz, the higher the energy efficiency of the selected set. When the target rate is greater than 1bps/hz, the energy efficiency of the synchronized TP set no longer grows rapidly with the increase in the target rate.
Example 2
The present embodiment provides a selection device for a synchronous transport node TP in a virtual cell, for example, a serving TP, which mainly includes the following units.
A first unit calculates throughput and backhaul overhead of a virtual cell.
Specifically, the process of calculating the throughput of the virtual cell by the first unit includes:
calculating the sum rate provided by the synchronous TP set in the virtual cell to the user;
calculating the interruption probability of the virtual cell to obtain the uninterrupted probability;
and calculating the throughput of the virtual cell according to the sum rate provided by the synchronous TP set for the user and the uninterrupted probability of the virtual cell.
The first unit may calculate a sum rate r (n) provided to the user by the synchronization TP set in the virtual cell by using the following formula:
Figure GDA0002400193110000111
wherein N represents the selected set of synchronized TPs,
Figure GDA0002400193110000112
representing the channel fading between user j and TPn,
Figure GDA0002400193110000113
representing the user-side received power, σ2Representing the power variance of the noise, pnRepresenting the transmit power of the TPn.
Calculating the outage probability of the virtual cell by adopting the following formula:
Figure GDA0002400193110000121
in addition, the first unit may calculate the throughput of the virtual cell using the following formula:
Figure GDA0002400193110000122
the backhaul overhead involved in this embodiment includes the consumption of the fiber backhaul link, and the consumption of the wireless self-backhaul link.
The first unit may calculate the backhaul overhead using the following formula:
Figure GDA0002400193110000123
therein, maxdlIs the sink node downlink interface maximum;
Figure GDA0002400193110000124
represents the energy consumption of one exchange in the sink node;
Nul，Pulrepresenting the number of uplink interfaces and the consumption of one uplink interface;
Pdlrepresents the consumption of one downlink interface;
Rmaxrepresents an uplink maximum transmission rate;
n represents the selected set of synchronized TPs;
Rithe data traffic of the ith base station in the selected synchronous TP set.
And the second unit calculates the energy efficiency of all synchronous TP combinations meeting the conditions in the virtual cell according to the calculated throughput and return cost of the virtual cell to obtain the optimal synchronous TP set of the virtual cell.
Specifically, the second unit may calculate the energy efficiency of all eligible synchronization TP combinations in the virtual cell using the following formula:
Figure GDA0002400193110000131
it will be understood by those skilled in the art that all or part of the steps of the above methods may be implemented by instructing the relevant hardware through a program, and the program may be stored in a computer readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, each module/unit in the above embodiments may be implemented in the form of hardware, and may also be implemented in the form of a software functional module. The present application is not limited to any specific form of hardware or software combination.
The above description is only a preferred example of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (12)

1. A method for selecting a synchronous transmission node (TP) in a virtual cell is characterized by comprising the following steps:
calculating the throughput and the backhaul overhead of the virtual cell;
calculating energy efficiency of all synchronous TP combinations meeting the conditions in the virtual cell according to the calculated throughput and return cost of the virtual cell to obtain an optimal synchronous TP set of the virtual cell;
wherein the process of calculating the throughput of the virtual cell comprises:
calculating the sum rate provided by the synchronous TP set in the virtual cell to the user;
calculating the interruption probability of the virtual cell to obtain the uninterrupted probability;
and calculating the throughput of the virtual cell according to the sum rate provided by the synchronous TP set for the user and the uninterrupted probability of the virtual cell.
2. The method of claim 1, wherein the calculating energy efficiency for all eligible combinations of synchronized TPs in the virtual cell based on the calculated throughput and backhaul overhead of the virtual cell to obtain an optimal set of synchronized TPs for the virtual cell comprises:
traversing all synchronous TP combinations meeting the conditions in the virtual cell, selecting a set with the highest ratio of actual throughput to overhead, and taking the set as the optimal synchronous TP set of the virtual cell.
3. The method of claim 2, wherein the throughput of the virtual cell is calculated using the following formula:
Figure FDA0002400193100000011
wherein R (N) is the sum rate provided to the user by the synchronous TP set in the virtual cell,
Figure FDA0002400193100000012
is the probability of interruption.
4. The method of claim 3, wherein the backhaul overhead comprises:
the consumption of the fiber backhaul link backhaul, and the consumption of the wireless self-backhaul link.
5. The method of claim 4, wherein the overhead P of the synchronization data in the virtual cell is calculated using the following formulaBH：
Figure FDA0002400193100000021
Wherein the content of the first and second substances,
Figure FDA0002400193100000022
representing the consumption of the optical fiber backhaul,
Figure FDA0002400193100000023
representing the consumption of the wireless self-backhaul link.
6. The method of claim 5, wherein the energy efficiency of all eligible simultaneous TP combinations in a virtual cell is calculated using the following formula:
Figure FDA0002400193100000024
where N is the selected synchronized TP set, and L is the permutation and combination of all TPs in the virtual cell or the set of all possible synchronized TP sets.
7. A device for selecting a TP in a virtual cell, comprising:
a first unit that calculates throughput and backhaul overhead of a virtual cell;
the second unit calculates the energy efficiency of all synchronous TP combinations meeting the conditions in the virtual cell according to the calculated throughput and return cost of the virtual cell to obtain an optimal synchronous TP set of the virtual cell;
wherein the process of the first unit calculating the throughput of the virtual cell comprises:
calculating the sum rate provided by the synchronous TP set in the virtual cell to the user;
calculating the interruption probability of the virtual cell to obtain the uninterrupted probability;
and calculating the throughput of the virtual cell according to the sum rate provided by the synchronous TP set for the user and the uninterrupted probability of the virtual cell.
8. The apparatus of claim 7, wherein the second unit calculates energy efficiency for all eligible combinations of synchronous TPs in the virtual cell according to the calculated throughput and backhaul overhead of the virtual cell, and obtaining the optimal set of synchronous TPs of the virtual cell specifically means:
traversing all synchronous TP combinations meeting the conditions in the virtual cell, selecting a set with the highest ratio of actual throughput to overhead, and taking the set as the optimal synchronous TP set of the virtual cell.
9. The apparatus of claim 8, wherein the first unit calculates the throughput of the virtual cell using the following equation:
Figure FDA0002400193100000031
wherein R (N) is the sum rate provided to the user by the synchronous TP set in the virtual cell,
Figure FDA0002400193100000032
is the probability of interruption.
10. The apparatus of claim 9, wherein the backhaul overhead comprises:
the consumption of the fiber backhaul link backhaul, and the consumption of the wireless self-backhaul link.
11. The apparatus of claim 10, wherein the overhead P for synchronization data in a virtual cell is calculated using the following formulaBH：
Figure FDA0002400193100000033
Wherein the content of the first and second substances,
Figure FDA0002400193100000034
representing the consumption of the optical fiber backhaul,
Figure FDA0002400193100000035
representing the consumption of the wireless self-backhaul link.
12. The apparatus of claim 11, wherein the energy efficiency of all eligible simultaneous TP combinations in a virtual cell is calculated using the following formula:
Figure FDA0002400193100000036
wherein N is the selected synchronous TP set, L is the permutation and combination mode of all TPs in the virtual cell or the set of all possible synchronous TP sets.
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Citations (3)

* Cited by examiner, † Cited by third party
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CN102547994A (en) * 2012-01-18 2012-07-04 中兴通讯股份有限公司 Method and system for eliminating inter-cell interference
WO2013125841A1 (en) * 2012-02-20 2013-08-29 Lg Electronics Inc. Method and apparatus for transmitting and receiving signals in wireless communication system
CN103974291A (en) * 2013-01-25 2014-08-06 华为技术有限公司 Method, device and system for selecting coordinated multi-point transmission set

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102547994A (en) * 2012-01-18 2012-07-04 中兴通讯股份有限公司 Method and system for eliminating inter-cell interference
WO2013125841A1 (en) * 2012-02-20 2013-08-29 Lg Electronics Inc. Method and apparatus for transmitting and receiving signals in wireless communication system
CN103974291A (en) * 2013-01-25 2014-08-06 华为技术有限公司 Method, device and system for selecting coordinated multi-point transmission set

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