CN103202047B - For determining the method for the topological structure of cordless communication network - Google Patents

Abstract

The present invention relates to a method for determining the topology of a wireless communication network layout comprising a plurality of network transceiver entities, at least some of which are currently active for currently registering to the wireless communication network The user terminal of the network provides a communication service, the method includes: based on at least one network constraint, determining a minimum set of network transceiver entities to be set to an active state, so as to provide communication services for currently registered user terminals; The minimum set of network transceiver entities for determining the topology of active network transceiver entities by initially setting the network transceiver entities to be set to the active state to enabled, and setting the other network transceiver entities to set to deactivated implementation; characterized in that said minimum set of network transceiver entities to be set to active state is determined based on network constraints that enable all currently registered user terminals to connect respectively to at least one active network transceiver entity, and also taking into account each of the following conditions: minimizing the number of active network transceiver entities; minimizing frequent activation/deactivation of network transceiver entities; minimizing the number of network transceiver entities Frequent handovers.

Description

Method for determining the topology of a wireless communication network

technical field

The present invention relates to mobile communications over wireless communications networks.

Background technique

With the rapid development of the information and communication technology (ICT) market, energy consumption in the ICT field is becoming a major part of the world's energy consumption budget. Therefore, energy awareness in ICT is not only a matter of economic interests, but also an urgent need to cope with climate change and energy shortage.

The wireless communication network layout is intended to support peak hour communication, especially in dense and small cell environments. Most of the time, communication demands are well below network capacity, and the network is oversized. However, the topology of a traditional communication network is determined during the network planning phase. Therefore, the locations and densities of network transceiver entities are generally fixed. In fact, certain network transceiver entities may be turned off or put into an inactive state if they are not currently serving the user, and may remain active if they are serving the user at the time. The UMTS and LTE protocols described in 3GPP specifications TS25.331 and TS36.331 propose proposals for cell selection, which is mainly determined by the SNR measured for the corresponding channel. However, such cell selection may result in improper aggregation of active base stations, thereby increasing unnecessary energy consumption.

Contents of the invention

The present invention is based on the discovery that a wireless communication network can be reduced by reducing the number of active network transceiver entities in the communication network topology so that only the minimum set of network transceiver entities required to maintain the current communication of the user terminal is set active. Energy consumption in the layout.

According to a first aspect, there is provided a method for determining the topology of a wireless communication network layout comprising a plurality of network transceiver entities, at least some of which are currently active for currently registering to a wireless A user terminal of a communication network provides a communication service, the method includes: based on at least one network constraint, determining a minimum set of network transceiver entities that need to be set to an active state to provide communication services for a currently registered user terminal; and setting as active as required The minimum set of network transceiver entities in the state determines the topology of the active network transceiver entities, and the method of forming the topology is to initially set the network transceiver entities that need to be set to the active state as enabled, and set the other network transceiver entities The transceiver entity is set to disabled. According to the present invention, said minimum set of network transceiver entities to be set to active state is determined based on network constraints such that all currently registered user terminals are respectively connected to at least one active network transceiver entity, while also considering Each of the following conditions is met: minimizing the number of active network transceiver entities; minimizing frequent activation/deactivation of network transceiver entities; minimizing frequent handovers between network transceiver entities.

This approach can reduce energy consumption in the communication network layout, since the average number of active network transceiver entities is reduced. With respect to the present invention, minimizing generally does not mean finding an absolute minimum, but reducing to an acceptable minimum. It is obvious that if the parameters are set such that the number of active network transceiver entities is absolutely minimized, then it is possible to increase the handover frequency and the activation/deactivation frequency of the network transceiver entities respectively, of course the increase in frequency always depends on Actual local assignment to currently registered user entities and currently active network transceiver entities.

According to the first implementation form of the first aspect, when determining the minimum set of network transceiver entities to be set to the active state, the following condition is further taken into consideration: minimizing the computational complexity of the applied algorithm. When using this implementation form, although one or more of the three does not achieve the optimal minimum , but a less complex and therefore faster algorithm can be used.

According to a second implementation form of the first aspect, or according to the preceding implementation form, the method comprises receiving registration information from a radio network controller according to UMTS (Universal Mobile Telecommunications Standard) technology, or from the registration information according to LTE (Long Term Evolution) technology Information exchange between eNodeBs to obtain information about currently registered user terminals.

According to a third implementation form of the first aspect, or according to any one of the preceding implementation forms, the method comprises determining the current active network transceiver entity according to information exchange between eNodeBs of LTE (Long Term Evolution) technology gather.

According to a fourth implementation form of the first aspect, or according to any one of the preceding implementation forms, the method comprises based on user entity measurement reporting according to UMTS (Universal Mobile Telecommunications Standard) technology or LTE (Long Term Evolution) technology, The activation of all currently registered user terminals which are to be connected to a particular active network transceiver entity is determined respectively.

According to a fifth implementation form of the first aspect, or according to any one of the preceding implementation forms, the invention relates to said method, wherein the method of determining the minimum number is to solve a linear minimization problem, in particular, based on the cut plane method or branch-and-bound method to determine the minimum set of network transceiver entities. Of course, any other algorithm for solving linear minimization problems can also be used.

According to a sixth implementation form of the first aspect, or according to any one of the preceding implementation forms, the method comprises network constraints based on a maximum allowable deactivation/deactivation of network transceiver entities in the communication network layout. The number of enablements determines the minimum set of network transceiver entities to be set active.

According to the seventh implementation form of the first aspect, or according to any one of the preceding implementation forms, the precondition for determining the minimum set of network transceiver entities to be set to the active state according to the present invention is that a predetermined minimum energy can be achieved save.

According to the eighth implementation form of the first aspect, or according to any implementation form in the first implementation form to the sixth implementation form, according to the present invention, the prerequisite for determining the minimum set of network transceiver entities to be set to the active state Yes, the number of currently active network transceiver entities is greater than the number of network transceiver entities in the minimum set of network transceiver entities to be set to the active state by a predetermined threshold.

According to the ninth implementation form of the first aspect, or according to any one of the first implementation form to the sixth implementation form, for the active network determined according to the minimum set of network transceiver entities that need to be set to the active state The topology structure of the transceiver entity, the precondition for forming the topology structure is that a predetermined minimum energy saving can be achieved.

According to the tenth implementation form of the first aspect, or according to any one of the first implementation form to the sixth implementation form, for the active network determined according to the minimum set of network transceiver entities that need to be set to the active state A topology of transceiver entities, the prerequisite for which is that the number of currently active network transceiver entities is more than a predetermined number of network transceiver entities in the minimum set of network transceiver entities to be set to active state threshold.

For each of the above-mentioned seventh to tenth implementation forms, in order to check the prerequisites, that is, whether a predetermined minimum energy saving can be achieved, or whether the number of currently active network transceiver entities is greater than that to be set The number of network transceiver entities in the minimum set of network transceiver entities in the active state exceeds a predetermined threshold, for example, a relatively basic algorithm may be used to perform the determination of the minimum set of network transceiver entities to be set in the active state in the method A step of. Here, it is sufficient to determine the minimum set of network transceiver entities to be set as active based on the network constraint that all currently registered user terminals can be respectively connected to at least one active network transceiver entity. A more complex basic algorithm takes into account one or more additional parameters according to the invention, but the corresponding threshold for an optimal solution may be lower.

However, for each of the above ninth and tenth implementation forms, in order to check the prerequisites, whether a predetermined minimum energy saving can be achieved, or whether the number of currently active network transceiver entities is greater than The number of network transceiver entities in the minimum set of network transceiver entities to be set to the active state is more than a predetermined threshold, for example, the determination of the minimum network transceiver entities to be set to the active state in the method may also be performed according to the first aspect above. The number of steps of the server entity, and only the final step is executed or not according to whether the additional condition is satisfied.

According to the eleventh implementation form of the first aspect, or according to any one of the preceding implementation forms, certain sets of network transceiver entities in the wireless network communication layout are included in the determined topology of active network transceiver entities by default in structure. This is achieved, for example, by the expectation that certain network transceiver entities in the network communication topology are excluded from deactivation selection. Using the method according to this eleventh implementation form, various positive effects can be obtained. In a simple solution, the partial coverage of the entire network can be constant, and moreover, the network transceiver entities to be activated and/or deactivated are only used to handle additional traffic. In another solution, for local areas with low density of network transceiver entities, the problem can usually be solved by not deactivating network transceiver entities, while for localized areas that can be covered by different network transceiver entities or by network transceiver entities The areas covered by different modes of , can be enabled/disabled according to the local needs of the currently registered user.

According to a twelfth implementation form of the first aspect, or according to any one of the preceding implementation forms, determining the topology of active network transceiver entities is performed periodically according to a predetermined time period. In practice, the time period depends on the requirements and performance of different network entities and can be not only in the range of milliseconds but also in the range of minutes. Alternatively or additionally, the performance of determining the topology of active network transceiver entities may be triggered according to communication load changes or changes in the number or allocation of registered user entities.

According to a thirteenth implementation form of the first aspect, or according to any one of the preceding implementation forms, deactivated network transceiver entities are activated when the number of user entities increases. In a more preferred variant of this thirteenth implementation form, a corresponding deactivated network transceiver entity is activated when the number of user entities in the local area of said deactivated network transceiver entity increases.

According to a fourteenth implementation form of the first aspect, or according to any of the preceding implementation forms, the deactivation of the Network transceiver entity.

According to a fifteenth implementation form of the first aspect, or according to any one of the preceding implementation forms, a deactivated network transceiver entity propagates a pilot signal.

According to a sixteenth implementation form of the first aspect, or according to any of the preceding implementation forms, the present invention relates to a method, wherein the network transceiver entity is one of the following: a base station according to UMTS, a base station according to Base stations of LTE (Long Term Evolution), base stations according to GSM (Global Communications Standard), access points according to UMTS, access points according to LTE.

When implemented in a network according to the UMTS standard or in a network according to the GSM (Global Communications) standard, the method according to the invention can preferably be implemented in a radio network controller of such a network. However, in such networks the method may also be implemented in a specific base station or in a specific access point, or even in a base station controller. When implemented in a network according to the LTE (Long Term Evolution) standard, the method according to the invention may preferably be implemented in a network transceiver entity such as a base station or a specific access point.

According to a second aspect, the invention relates to a programmable arrangement comprising a processor for executing a computer program for implementing a method for determining the topology of a wireless communication network layout. In addition, the features and layout of the processor can be directly derived from the first aspect or any implementation form of the first aspect.

Description of drawings

Further implementation forms will be described relating to the following features, wherein:

Figure 1 shows a diagram of a method for determining the topology of a wireless communication network layout according to an implementation form;

Figure 2 is a block diagram of a method for determining the topology of a wireless communication network layout according to an implementation form; and

FIG. 3 shows a block diagram of a programmably arranged device according to an implementation form.

Detailed ways

Figure 1 shows a diagram of a method for determining the topology of a wireless communication network layout. A wireless communication network topology may include a number of active network transceiver entities currently providing communication services to a number of user terminals. The method includes a determination step 101 for determining a minimum set of network transceiver entities required to provide communication services for a plurality of user terminals, and a determination step 103 for setting the minimum set of network transceiver entities to an active state as required to determine the topology of active network transceiver entities. The method further comprises an activation step 105 for initiating activation and/or deactivation of network transceiver entities according to the determined topology in order to reduce energy consumption.

A network transceiver entity may be formed by base stations or access points according to UMTS or according to LTE technology. According to some implementation forms, the method may be implemented in a Radio Network Controller (RNC) in a UMTS network, or in an eNodeB in an LTE network.

To determine the minimum number of network transceiver entities, such as the minimum set of active base stations, the method proposed by Vijay V. Vacirani published in Springer-Verlag in 2001 can be used The method of the disclosure entitled "Approximation Optimization algorithms," which is incorporated herein by reference:

$\mathrm{<span\; class="notranslate">\; min</span>}\underset{<span\; class="notranslate">\; \&ForAll;</span>\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}$

$\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; .</span>\underset{<span\; class="notranslate">\; \&ForAll;</span>\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; c</span>}}_{\mathrm{<span\; class="notranslate">\; ij</span>}}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&Greater\; Equal;</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; \&ForAll;</span>\mathrm{<span\; class="notranslate">\; j</span>}$

${\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&Greater\; Equal;</span>\mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&ForAll;</span>\mathrm{<span\; class="notranslate">\; i</span>}$

Where B _i represents the i-th network transceiver entity, such as a base station, if B _i can connect to user entity (UE) j, then c _ij =1, otherwise, c _ij =0. Bi = 1 if Bi should be active or enabled; _Bi = 0 if _BSi can be deactivated, eg turned down.

According to some implementation forms, when determining the minimum set of network transceiver entities, the cutting plane method disclosed in D.E.L's "A Cutting Plane Optimization algorithm for Integer Programs with easy Proof von Convergence" (ACutting Plane Optimization algorithm for Integer Programs with easy Proof von Convergence) can be used. Published in Working Paper WP-73-15, International Institute for Applied Systems Analysis, Luxembourg, 1973 and incorporated herein by reference. According to another implementation form, when determining the minimum set of network transceiver entities, A.H.Land (A.H.Land) and A.G.Doig (A.G.Doig) "An automatic method for solving discrete programming problems "(An Automatic Method of Solving Discrete Programming Problems), which was published in Econometrica, Vol. 28, No. 3, pp. 497-520, July 1960, and is incorporated by reference into this article.

According to some implementation forms, the set of available communication connections may vary over time based on the mobility of the user entity, eg terminal to base station connections. If a network transceiver entity is enabled or disabled, eg turned on or off, the activation or deactivation may occur frequently as connection conditions change. Thus, rapid adaptation to connection conditions can be achieved.

According to an implementation form, by exemplary reference to a base station (BS) forming an instance of a network transceiver entity, the network transceiver entity may be selected in the following manner:

According to the UMTS/LTE measurement report message, the BS or RNC can know the BS that can establish a reliable connection with a certain terminal. According to UMTS and LTE technologies, a cell list is reserved in the terminal, and the cells in the list can be used as candidate cells for cell selection. The information in the list includes, for example, the cell id and the CPICH E _c /I ₀ of the corresponding cell. In UMTS, measurement reports are continuously transmitted to NodeBs by default. In LTE, the list of cell information is maintained by the terminal and should be transmitted regularly at predetermined intervals, eg every N minutes, where N is an integer.

Based on the information about available user terminal-to-BS connections, an optimization algorithm, such as the cut plane or branch-and-bound optimization algorithms described above, can be used to calculate the smallest possible set of active BSs required to serve all terminals.

If the calculated number is much smaller than the number of currently active BSs, ie if Number_current_active_BS−Number_calculated_min_BS>Threshold_predefined, then the achievable gain is large enough so that an optimization process can be triggered to reduce the number of active BSs.

Optimization algorithms, such as cut planes or branch and bound methods, can be executed at certain intervals, such as every few seconds, minutes, or hours.

During optimization, the final BS to be activated or deactivated may be selected using a stability-based optimization method for implementing the selection mechanism shown in FIG. 2 .

In step 201, a terminal report, such as a measurement report according to LTE technology, may be received. Endpoint reports include information about currently active network transceiver entities. Based on the terminal reports, in step 203 a minimum set of network transceiver entities such as base stations is determined. The determination process is based on the calculation based on the current user entity measurement report received in step 201 . In step 205, network constraints are used to determine whether any network transceiver entities need to be turned on or off. A network constraint may be, for example, a minimum achievable energy saving, ie a maximum potential energy gain, which can be achieved by selecting network transceiver entities to be activated or deactivated. If the potential gain is large enough to reach a level sufficient for selection, then in step 207, for example, a stability-based optimization optimization algorithm may be performed to select at least one network transceiver entity, thereby completing the above-mentioned final network transceiver entity selection . Depending on the result of the selection step 207, the network transceiver entity may be enabled or disabled by switching the network transceiver entity on or off. For example, a network transceiver entity may be a base station. Thereafter, the method may stop at step 211 . Optionally, the method shown in FIG. 2 may be executed repeatedly, and may be executed every certain period of time, for example, every N minutes. In this case, the method includes step 213 for triggering the execution of the method every certain time period.

The optimization algorithm based on stability can be performed according to the description made by way of example with reference to a base station (BS) forming an implementation form of a network transceiver entity.

Step 0: Classify BSs according to the currently assigned terminals. The BS that currently has the most terminals is at the head of the list. BSs that were deactivated at the time, e.g. closed, are at the end of the list. Set list index i=1. Mark the status of all BSs as "closed". Set the startup data to the maximum number of BSs.

Step 1: Mark the status of the BSi as "ON".

In step 2: IF all user terminals can be covered by the active BS

Step 3: IF In the next step, the stability and favorable conditions are not met, or it is impossible to obtain a result better than the current result

Repeat step 1 to step 3 "until" no more BS can be selected.

"Output" any result that might exist (the current result). "Otherwise", no action will be performed.

The optimization algorithm described above may start from the following BSs: BSs that are currently enabled (on), and BSs that have the most terminals in the cells of the BSs and keep the state of these BSs "on" preferentially. In this way, these BSs can get priority, thereby avoiding frequent switching on/off in the network, as well as a large number of handovers.

The stability and favorable conditions for the implementation form of network constraints can be shown as follows:

-Excessive BS will be turned on/off if possible:

-number_to_be_switched_ON/OFF＞predefined_threshold)

- If potential gain is too small:

-Number_to_be_saved_base_station<predefined_threshold

- would cause too many handoffs if possible:

-Number_handover<predefined_threshold)

Therefore, energy consumption can be reduced by a dynamic node management mechanism that gradually adds or removes network transceiver entities, such as base stations and access point.

The principle of dynamic node management terminals is that a user terminal has multiple options to establish a link with one neighboring base station or access point, hereinafter referred to as BS. The set of BSs that can be enabled, eg switched on, to support an assigned user terminal can be minimized by judicious selection of terminal-to-BS links. Other BSs not linked to the terminal at that time may be deactivated, eg turned off or put into power saving mode. A BS that is enabled, eg, turned on, is called an active BS, and a BS that is disabled, eg, turned off or put into sleep mode, is called a standby BS.

The mechanism used to select the BS to be activated or deactivated must satisfy the constraint that all user terminals must be able to connect to at least one active BS, and must be able to satisfy at least one of the following network constraints in an optimal manner, for example: It is possible to reduce the number of active BSs, avoid frequent switching on/off of BSs, avoid frequent handovers between cells. Preferably, it should also satisfy the need to reduce the computational complexity of the optimization algorithm.

According to an implementation form, by setting appropriate stability and favorable network constraints, not only the stability of the network is increased, but also the computational complexity of the optimization algorithm is greatly reduced.

If a decision is made to deactivate, eg switch off a certain BS, the BS will hand over all its user terminals to neighboring cells and go into sleep mode. Although the main part of the BS is turned off, it still broadcasts the pilot signal at large intervals, such as every few seconds. During broadcast operations, only broadcast units in the BS are active. In this way, by virtue of the pilot measurement, the terminal can always obtain the latest updated channel state information, even the BS in sleep mode. If the number of terminals in a certain area becomes greater than a certain predetermined threshold, enabling, eg turning on, neighboring BSs in sleep state, which may be determined from the collected channel state information.

To avoid coverage holes in the network, some BSs will always be "on". In case of a heterogeneous network including macro cells, micro cells and pico cells, the macro BS can for example constitute coverage support when some micro and pico cells are switched off.

According to one implementation form, the code and frequency assignments in the cells can be reconfigured, if necessary, during the on/off handover procedure.

According to one implementation form, by reducing the number of active BSs when traffic is low, significant power savings can be achieved. At the same time, the stability of the network is also considered, so frequent on/off switching and handovers do not occur.

FIG. 3 shows a block diagram of a programmably arranged apparatus 300 comprising a processor 301 for implementing the method according to claim 1 or any claim based on claim 1 . In a preferred embodiment, the device 300 includes a processor for implementing one of the methods shown in FIG. 1 and/or FIG. 2 , the implementation method is to execute the steps for implementing the method shown in FIG. Computer program.

According to one implementation form, the method described herein is used in dense and small-scale cells, and in multi-type networks including femto stations, pico stations, micro stations and macro stations.

According to an implementation form, network transceiver entities such as base stations can be dynamically "turned on" or "turned off" based on the terminal's neighbor cell list report, depending on the traffic load and the number of user terminals in the cell. In addition, optimization algorithms such as cut plane optimization algorithms can be employed to examine the potential benefits of changing the network topology. Furthermore, a stability-based optimization algorithm may be implemented to select network transceiver entities to be switched off, or even network transceiver entities to be switched on to switch off other network transceiver entities. According to some implementation forms, the use of network constraints such as stability and favorable conditions keeps the complexity of the solution low and ensures stability of operation.

According to an implementation form, the number of active BSs in a wireless network can be reduced. An optimization algorithm may be employed to select a set of active/standby BSs in the network, for example at uniform time intervals. If a BS is selected to be turned off, the BS will hand over all its slave terminals to the neighboring active BS, and then turn off or switch to a power saving mode. The optimization algorithm takes into account the channel quality requirements, the number of necessary BS-on/off-handovers and UE handovers, and accordingly proposes a solution that balances the gain in energy saving with the cost of additional system operations.

Claims (13)

1. A method for determining the topology of a wireless communication network topology comprising a plurality of network transceiver entities, at least some of which are currently active for currently registering with the wireless communication network A communication service is provided by a user terminal, the method comprising: Based on at least one network constraint, determining (101) a minimum set of network transceiver entities to be set to an active state to provide communication services for currently registered user terminals; and Based on said minimum set of network transceiver entities to be set to an active state, determine (102) a topology of active network transceiver entities, said topology by initially setting the network transceiver entities to be set to an active state as enabled, and set other network transceiver entities to disabled implementations; It is characterized in that the minimum set of network transceiver entities to be set to the active state is determined based on such network constraints, that is, the network constraints enable all currently registered user terminals to be respectively connected to at least one active network transceiver server entity, and each of the following conditions is also considered: Minimize the number of active network transceiver entities; Minimize frequent activation/deactivation of network transceiver entities; Minimize frequent handovers between network transceiver entities; Wherein activation of all currently registered user terminals to be respectively connected to at least one active network transceiver entity is determined by user entity measurement reports according to UMTS (Universal Mobile Telecommunications Standard) technology or LTE (Long Term Evolution) technology. 2. The method according to claim 1, wherein when determining the minimum set of network transceiver entities to be set to an active state, the following conditions are further taken into account: Minimize the computational complexity of the applied algorithm. 3. The method according to claim 1 or claim 2, wherein the information about the currently registered user terminal originates from registration information in a radio network controller according to UMTS (Universal Mobile Telecommunications Standard) technology, or according to LTE (Long Term Evolution) technology for information exchange between eNodeBs. 4. The method according to claim 1 or claim 2, wherein the minimum set of network transceiver entities to be set to an active state is determined by solving a minimization problem, specifically, based on a cut plane or a branch-and-bound method, The minimum set of network transceiver entities is determined. 5. A method according to claim 1 or claim 2, wherein the minimum set of network transceiver entities to be set to an active state is determined based on network constraints including The maximum number of deactivations/enablements allowed for network transceiver entities. 6. A method according to claim 1 or claim 2, wherein for a topology of active network transceiver entities determined from the minimum set of network transceiver entities to be set to an active state, forming the topology of said topology A precondition, or a precondition for determining said minimum set of network transceiver entities to be set to active state, is that a predetermined minimum energy saving can be achieved. 7. A method according to claim 1 or claim 2, wherein for a topology of active network transceiver entities determined from the minimum set of network transceiver entities to be set to an active state, forming the topology of said topology The precondition is, or the precondition for determining the minimum set of network transceiver entities to be set to the active state is that the number of currently active network transceiver entities is greater than that in the minimum set of network transceiver entities to be set to the active state The number of network transceiver entities exceeds a predetermined threshold. 8. The method according to claim 1 or claim 2, wherein certain sets of network transceiver entities in the wireless network communication layout are included in the determined topology of active network transceiver entities by default. 9. A method according to claim 1 or claim 2, wherein determining the topology of active network transceiver entities is performed periodically according to a predetermined time period. 10. A method as claimed in claim 1 or claim 2, wherein at least one deactivated network transceiver entity is activated when the number of currently registered user entities increases. 11. A method as claimed in claim 1 or claim 2, wherein a network transceiver entity is deactivated only if the network transceiver entity is able to receive a control message for re-enabling after deactivation. 12. A method as claimed in claim 1 or claim 2, wherein the deactivated network transceiver entity propagates a pilot signal. 13. A method according to claim 1 or claim 2, wherein said network transceiver entity is a base station or access point according to UMTS or LTE (Long Term Evolution) or GSM (Global Communications Standard) technology, and wherein said The method is implemented by at least one network transceiver entity in said communication network topology.