Classifications

• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
  • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
  • H04L41/5003—Managing SLA; Interaction between SLA and QoS
  • H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04W—WIRELESS COMMUNICATION NETWORKS
  • H04W24/00—Supervisory, monitoring or testing arrangements
  • H04W24/02—Arrangements for optimising operational condition
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04W—WIRELESS COMMUNICATION NETWORKS
  • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
  • H04W16/18—Network planning tools

Definitions

• the present invention relates to the estimation of an operating state of one or more entities of a communication network based on quality indicators.
• the estimation of an operating state allows the development of new algorithms for resource management and optimization of communication networks.
• the management of traffic and quality of service in a communication network is carried out essentially by resource management algorithms which are based on an understanding of the operating status of different entities of the network.
• Universal Mobile Telecommunications System These algorithms cover mobility, admission and load control, resource allocation capabilities such as power, or packet scheduling.
• quality indicators reported by the network for example from mobiles and / or base stations, such as the power received by a mobile or the transmission power of the base station
• these algorithms manage the use of resources in the network and guarantee a quality of service to users.
• These management algorithms use a limited number of quality indicators, often one or two, that come from mobiles and / or base stations, and which are for example the load of the base station and the power received by a mobile in the case of a mobile admission control in a UMTS type network.
• the mobile quality indicators are local in nature, while the quality indicators from the base station are of a global nature.
• the operating state of the base station is often defined by a single indicator such as base station load which does not accurately infer the available capacity of the base station.
• WLAN Wireless Local Area Network
• few resource management algorithms have been developed and the interfaces necessary for the implementation of these algorithms are still under study and standardization.
• State-of-the-art resource management algorithms have the disadvantage that they use quality indicators that give very partial information about the entity controlled by these algorithms or the overall state of the network.
• a mobile is accepted in the network according to the load of the base station on which it depends and the power received by the mobile. under the cover of the base station.
• These algorithms do not include an indicator on the overall coverage of the base station for all mobiles, and the impact of the mobile's admission on the coverage of the base station.
• the link between coverage and base station load is not taken into account, which minimizes the performance of the base station. the algorithm and results in suboptimal use of network resources.
• a method for estimating an operating state of an entity adapted to manage elements in a communication network comprises: a definition of at least two state indicators each dependent on a weighted sum of quality indicators which are respectively associated with the elements and depend on quantities accessible by the network, an update of the quality indicators according to the quantities measured in the network, an evaluation of the state indicators according to the updated quality indicators, and an estimate of a state of operation of the entity based on the evaluated state indicators.
• the invention advantageously estimates a state of one or more entities of the communication network according to several state indicators themselves dependent on several quality indicators relating to elements managed by the entity.
• these quality indicators specific to the elements are brought to a more central level, that is to say at the level of the entity that manages the elements.
• the invention does not consider a quality indicator with respect to an element, but considers all the quality indicators relating to the elements as a whole and aggregates these indicators to form a status indicator relating to the element. entity.
• Several state indicators relating to the entity are then evaluated at the same time. time in order to estimate an operating state of the entity that is adjacent to the real state of the entity.
• the status indicators relating to the entity can be evaluated according to magnitudes accessible by the network, which allows a simple and permanent estimation of a state of the entity.
• an entity is fixed as a base station in a cellular radio network and the elements are mobiles.
• Quantities accessible by the network may be measured by the base station or the mobiles, such as a signal-to-noise ratio received by a mobile and transmission power of the base station.
• One of the state indicators can be relative to the coverage of the entity and depend on powers emitted from the entity and received by the elements.
• one of the state indicators may relate to the entity's capability.
• the estimation of a state of an entity according to the invention can take into account both the coverage and the capacity of the entity.
• the method may furthermore comprise an estimation of another operating state of the entity as a function of an additional element that can be managed by the entity.
• This additional element is for example a mobile requiring communication with a base station as an entity.
• a future state of operation of the entity can then be estimated by evaluating the state indicators according to the quality indicators which further depend on the additional element.
• the invention further contributes to the development of algorithms for managing network entity resources using state indicators to optimize network performance. These state indicators serve as a basis for setting up networks, especially for cellular or wireless radio communication, or for improving existing resource management algorithms, or for developing new resource management algorithms such as control. admission or mobility in networks that are not yet standardized, such as a WLAN-type wireless network.
• the method may further comprise a determination of a boundary of the authorized operating states of the entity by assigning target values to the status indicators, an evaluation of a distance in a vector space formed by the state indicators according to the evaluated state indicators, and a determination of a cost associated with at least one of the distances between the two estimated operating states and between one of the estimated operating states and the boundary, and an additional cost-based management by the entity.
• the boundary represents the set of target values below which the state of operation of the entity is acceptable and beyond which the operation of the entity is prohibited.
• the evolution of the operating state of the entity is monitored by evaluating the distance then the cost periodically or as a result of predetermined events.
• the distance between the two estimated operating states is an aid for example to the decision if the passage of a current state to a future state of the entity does not require too much use of entity resources.
• the distance between an estimated future operating state and the boundary makes it possible, for example, to assess the distance of a future state of the entity with respect to the boundary and to decide whether this state corresponds to an acceptable operating state.
• one of the state indicators may be relative to the coverage of the fixed entity and depend on powers emitted from the fixed entity and received by the mobiles, or be related to the capacity of the fixed entity.
• the operating state of the entity can be additionally estimated based on an interaction coefficient representative of the interference experienced by the entity, which refines the accuracy of the estimated operating state of the base station. to confuse it substantially with the actual operation of the base station.
• the invention also relates to a device for estimating an operating state of an entity adapted to managing elements in a communication network, characterized in that it comprises:
• the invention relates to a computer program adapted to be implemented in a device for estimating an operating state of an entity adapted to managing elements in a communication network, said program comprising instructions which, when the program is executed in said device, perform the steps according to the method of the invention.
• FIG. 1 is a schematic block diagram of a resource management system comprising an estimation device according to the invention
• FIG. 2 is an algorithm of a method for estimating a state of an entity in a radio communication network according to the invention
• FIG. 3 is an experimental diagram illustrating a state space of an entity in a GSM type network according to the method of the invention
• FIG. 4 is an experimental diagram illustrating a state space of an entity in a UMTS type network according to the method of the invention
• FIG. 5 is an experimental diagram illustrating a state space of an entity in a WLAN type network according to the method of the invention.
• FIG. 1 shows functional means included in a resource management system for implementing the method of the invention in a communication network such as a digital radiocommunication network RR.
• the RR digital radiocommunication network is a cellular network type GSM ("Global System for Mobile Communications" in English) with a service GPRS ("General Packet Radio Service” in English), or type UMTS ("Universal Mobile Telecommunications System "in English).
• the RR digital radiocommunication network is a WLAN type wireless local area network (WLAN) or compliant with one of the 802. Ix or medium-range standards. according to the WIMAX protocol ("World Wide Interoperability Microwave Access").
• an ENT radio network entity manages a set of ELE elements that are directly related to and under the control of the entity.
• an entity ENT may be a base station, or a base station controller BSC ("Base Station Controller" in English).
• BSC Base Station Controller
• an entity may be a B-node or a RNC ("Radio Network Controller") base station controller. English).
• RNC Radio Network Controller
• an entity can be an access point.
• An ELE element managed by an ENT entity is considered a sub-entity that depends on the entity.
• an element may be a mobile controlled by an entity that is a base station.
• the element may be a mobile cellular radio terminal, a PDA communicating personal digital assistant, or a communicating laptop, or a smartphone ("SmartPhone" in English), able to communicate with the base station.
• An element may still be a base station itself controlled by an entity that is a base station controller.
• the entity ENT is a base station in a GSM or UMTS type network, or an access point in a WLAN type wireless network.
• the ENT entity manages a set of M ELE elements 1n , with 1 ⁇ m ⁇ M, which are mobiles under the entity's coverage.
• M ELE elements 1n with 1 ⁇ m ⁇ M, which are mobiles under the entity's coverage.
• ELE] _ ELE m and ELE ⁇ only three mobiles are represented which are respectively designated by ELE] _ ELE m and ELE ⁇ .
• the resource management system includes an estimating device DE which includes a central processing unit UC, a management module GES, a receiving module of quality indicators REC and an estimating module EST.
• the estimation device DE communicates with a resource manager GR and at least one entity of the network RR.
• a part of the modules included in the device DE such the estimation module EST is included in the resource manager GR.
• the resource manager GR controls at least one entity and makes decisions for allocating resources to the entities it controls.
• the resource manager is an RNC controller controlling several entities that are base stations.
• the DE device provides information to the resource manager that is necessary for the decision maker to make decisions.
• the device DE may communicate with one or more entities of the RR radio network, for example via terrestrial interfaces between RNC ("Radio Network Controller") base station controllers for a UMTS type network.
• the device DE may be included in a base station or in the RNC controller on which the base station depends.
• the estimation device DE recovers the powers and attenuations specified hereinafter, transmitted for example cyclically in signaling channels by mobiles having active links with the base station.
• the estimation device DE is connected to a maintenance center OMC ("Operation and Maintenance Center" in English) or at least one signaling capture platform of the radio network RR, so as to exploit powers measured by network base stations and mobiles.
• OMC Operaation and Maintenance Center
• Measurements made by mobiles and base stations are reported to the OMC maintenance center through the RNC base station controllers in the RR network.
• Other terms and concepts useful for understanding the invention are defined below.
• An ENT entity is considered to handle a set of M ELE elements m .
• Each element ELE m is associated with at least two quality indicators Iq, m / with l ⁇ q ⁇ Q and Q> 2.
• Q is a predetermined number of different types of quality indicators used for a resource management algorithm.
• the quality indicator I q , m of the element ELE m is measured at the level of this element or at the level of the entity ENT.
• the entity is a base station and the elements are mobiles attached to this base station.
• the indicator I q , m may be an uplink power transmitted by a mobile ELE m , or a downlink power allocated to this mobile by the base station.
• a weighting coefficient co qm is associated with each quality indicator I q , m of each element ELE m of the entity ENT and represents for example a proportion of the resources of the entity consumed by this element.
• An IE q status indicator is associated with the ENT unit and features a partial state of operation of the entity. It depends on the indicators I q , m associated with the elements ELE m managed by the entity and weighted by the coefficients ⁇ q ; in .
• An IEq status indicator of an ENT entity such as a base station is for example the capacity of the base station.
• a state of the entity ENT is then defined by a predetermined set of Q state indicators IEq.
• An interaction coefficient ⁇ expresses the interaction between the ENT entity and one or more neighboring entities of the ENT entity.
• the interaction coefficient may be associated with interference generated by base stations neighboring the given base station, and may represent an additional amount of resources consumed by the base station given by the elements it manages because of these interferences.
• the resource manager GR implements resource management algorithms that are related to ENT entities in the RR network and executed periodically or following an event in the network, such as attachment of a mobile to the RR network or detachment. of the RR network mobile. Since the resource management is identical for all the entities ENT of the network RR, the method according to the invention is described in detail below with respect to an entity ENT such as a base station having active downlinks with mobiles in the network. RR network.
• the method for estimating an operating state of an entity comprises initialization steps E1 to E4 and state update steps of the entity E5 to E9 executed under the control of the central processing unit UC in the estimation device DE.
• the entity ENT is hereinafter considered for example as a base station managing a set of M elements ELE m which are mobile under the coverage of the base station which is itself managed by a base station controller incorporating the GR resource manager.
• step E1 the GES management module of the estimation device DE selects at least one entity ENT whose state must be estimated.
• the estimation device DE also selects a set of Q status indicators IE q .
• the GHG management module defines an IE g status indicator as the centroid M quality indicators I q, m respectively associated with M elements
• the quality indicators I q , m depend on classical quantities accessible by the RR network. These quantities can be measured by entities or elements of the RR network such as a power on mobile link transmitted by a mobile or a signal-to-noise ratio received by a mobile.
• the coefficients ( ⁇ n, m can be independent of the quality indicators, ie the coefficients respectively associated with the elements are identical for all the quality indicators relating to a status indicator.
• the GES management module determines a state vector (IE ⁇ ,..., IE q ,..., IE Q ) composed of the Q previously IEq state indicators.
• the state vector reflects a global state of the entity ENT by the combination of the Q partial states of the entity characterized respectively by Q state indicators IE q . If the state indicators are correlated with each other, that is, if the values of the state indicators vary according to each other, for example because of interference from the base station, then there is a relationship between the status indicators defined by the following function F:
• the state vector (IE ⁇ ,..., IE q ,..., IE Q ) constitutes a base of a vector space of dimension Q representing all the possible states of the entity ENT.
• the vector space is of reduced size at Q - P.
• the GES management module determines a boundary surface SF of dimension strictly smaller than the dimension of the vector space, that is to say less than the number Q of state indicators.
• the SF boundary surface is calculated based on target values assigned to the state indicators and is a limit in the vector space below which the entity's operating states are allowed without overloading the entity's resources. available to the elements.
• the boundary surface SF has a single dimension and is a line, as shown for example in FIG. 3.
• the term "surface” is used. whatever the size of the boundary surface.
• the GES management module defines a distance metric d as a function of the Q status indicators, for example in a positive quadratic form.
• each state flag may be normalized by the size of an interval defining a range of variation of the state flag.
• a state at time t of the entity ENT depends on two state indicators IE ⁇ (t) and IE 2 (t) estimated at time t and respectively corresponding to coordinates x t and y t .
• ⁇ x and ⁇ y are coefficients to differentiate the importance given to each of the indicators IE ⁇ and IE 2 , for example by the operator managing the entity ENT.
• the status indicator IEi e " t ⁇ & 2 can be respectively associated with the capacity and coverage of the base station, and the operator can give more importance to the capacity than the coverage and therefore choose ⁇ x greater than ⁇ y .
• the GHG management module also defines a cost that reflects the quality of the state of the entity and / or the interest that the entity finds itself in a future estimated state.
• the cost is a function of the distance between an estimated state of the entity and the boundary surface and / or the distance between two consecutive estimated states of the entity.
• steps E5 and E6 are executed iteratively, for example periodically after a predetermined time interval and / or following an event relating to the entity ENT occurring in the network RR, such as the admission of an item under the coverage of the entity.
• step E5 the reception module of the quality indicators REC of the estimation device DE receives quantities measured from the network RR according to which the quality indicators Iq, m associated with the elements ELE m managed by the system are updated. entity ENT.
• each mobile under the coverage of the base station measures a known quantity such as a received signal power or a signal-to-interference ratio and transmits the measured quantity to the estimation device DE, for example via the base station and a terrestrial interface Iub between one or more RNC controllers of the cellular network if the DE device is not included in the base station.
• a known quantity such as a received signal power or a signal-to-interference ratio
• step E6 DE estimation module EST device assesses each state indicator IEQ based quality indicators I q, m e t ⁇ qrTn coefficients previously discounted. An actual state EA of the ENT is then estimated from the state vector or the dependent state equation evaluated state indicators, as defined in step E2.
• steps E7 to E9 are executed following an event that may modify the state of the ENT entity such as an admission request for an item under the entity's coverage.
• the estimating module EST estimates a future state EF of the entity as a function of the quality indicators I q , M + 1 relating to an additional M + element ELE M + ⁇ that can be managed. by the entity.
• each state indicator IEq is evaluated according to M + l quality indicators I q , m respectively associated with the M + 1 elements.
• xèrti ⁇ For example, a mobile M + 1 candidate for admission is considered to require certain resources. In a first example, the mobile may already be connected to the network and request the use of a service such as a call.
• the base station is already aware of certain quantities such as a power to be allocated to the mobile for said service or a signal-to-noise ratio received by the mobile.
• the mobile is not connected to the network but can make measurements of magnitudes in standby mode, such as a signal-to-noise ratio measurement relating to a signal received in a common traffic channel.
• the current EA status of the entity is estimated periodically or following an event that changes the state of the entity such as an attachment or detachment of an item under the entity's hedge.
• an event that could change the state of the entity such as an application for admission of an item under the cover of the entity
• the future EF state of the entity is estimated based on the element causing the event.
• step E8 the estimation module EST determines a cost associated with the future state EF estimated as defined in step E4.
• the estimating module EST evaluates a distance between the estimated future state EF and the current state estimates EA and / or a distance between the estimated future state EF and the boundary surface SF determined at the step E3.
• the cost associated with the future estimated state then depends on at least one of the distances previously evaluated.
• the estimation device DE transmits the cost associated with the future state estimate EF to the resource manager GR so that the latter controls the management of the additional element M + 1 ELE ⁇ + i as a function of the cost by the ENT entity.
• the estimation device DE transmits the status indicators IEq evaluated at the step
• E6 or E7 to the resource manager GR, which estimates the future state of the entity itself and determines a cost associated with the estimated future state.
• the estimation device DE transmits the current state EA estimated at step E ⁇ and the future state EF estimated at step E7 to the resource manager GR which determines a cost associated with the future state. valued.
• the estimation device DE is included in the resource manager GR and the step E9 is not executed.
• the state indicators are used by the resource manager GR to make a decision based on the future estimated EF state of the ENT. For example, following an attempt to connect a mobile to the RR network, a future state EF of the base station after the possible admission of the mobile is estimated, then used by the resource manager GR to decide whether the switch from the current state to the estimated future state is possible .
• a cost associated with this switchover can be determined as a function of both a first distance between the current and future states of the entity, a second distance between the current state of the entity and the boundary surface and possibly a third distance between the future state of the entity and the boundary surface.
• the first distance is used for example to know if the switch does not cause a management change of the entity too much compared to the current state.
• a comparison between the second and third distances makes it possible, for example, to observe that the third distance is less than the second distance and consequently to assess whether the future state is more interesting than the current state.
• the third distance is used to decide whether the future state is sufficiently far from the boundary surface, and therefore of target quantities not to be exceeded, and therefore to decide whether the future state switch is acceptable.
• the steps of the method can be executed simultaneously for two entities belonging respectively to a GSM network and to a UMTS network managed by the same operator and having the same function.
• the element will then be admitted into the network for which said determined cost is the lowest.
• the ENT entity manages ELE m elements which are mobile and a state of the ENT entity is estimated based on both IE and IE ⁇ 2 status indicators respectively associated the capacity and coverage of the entity.
• a set of M quality indicators Iq, m specific to the M elements ELE m are aggregated into an IE status indicator q .
• the IE 2 status indicator associated with the entity's coverage centralizes coverage indicators specific to each item at the entity level.
• the capacity of the entity may be considered as the maximum traffic that the entity can flow according to the number of frequencies allocated to it, the traffic depending on the average number of mobiles that communicate and the average duration of a communication.
• the considered ENT entity is a base station in a GSM type network.
• a well-adapted planning of the frequencies of the base stations using, for example, a frequency reuse pattern makes it possible to neglect interference between neighboring base stations which do not use the same frequencies.
• the interaction coefficient ⁇ between the entity ENT and the neighboring base stations of the entity is negligible.
• capacity and coverage are considered independent.
• the state indicator IE ⁇ associated with the capacity of the base station is defined as the sum of time slots allocated to mobile-occupied traffic channels. Each element ELE m occupies a number C m of time intervals. The numbers C ra of time intervals are considered here as quality indicators I ⁇ m associated with the elements ELE m that are the mobiles. In this case, the weighting coefficients ⁇ / ra associated with the quality indicators are all equal to 1.
• the status indicator IE 1 is written as follows:
• the state indicator IE 2 is defined as the center of gravity of the path losses L m measured by the elements ELE m according to the following relation:
• the status indicator IE 2 can be considered as a path loss measured by a central element receiving a fictitious signal power Pr according to the following relation: _ _
• An operating state of the ENT entity is characterized by the combination of the two indicators and IE IE ⁇ two states. The latter are not correlated with each other since the capacity and coverage are independent of the fact that the interference experienced by the ENT entity is neglected.
• FIG. 3 is shown an example of the state space allowed for the ENT entity.
• the boundary surface SF defining the authorized state space is reduced to two lines: a vertical line representing the maximum capacity, for example equal to a maximum number of 29 IT time slots, and a horizontal line representing a maximum loss of 148 dB.
• the current state EA of the estimated ENT entity at a time t is further from the SF boundary surface than the future state EF of the entity for a time t + 1 estimated at time t. If the future state EF is estimated for a request for admission of a new element under the coverage of the entity ENT, the resource manager GR can accept this request for admission since the estimated future state is sufficiently far from the frontier surface.
• the considered ENT entity is a base station, called node B, in a UMTS type network.
• the signal to interference and noise received by a m p m ELE element is defined by the following relationship:
• p m is an emission power of the ENT entity for a traffic channel allocated to the ELE element m by the entity ENT
• L m is a path loss between the entity ENT and the element ELE m
• ⁇ m is an orthogonality factor between 1 and 0 and equal to 1 if there is no orthogonality between the channel codes of the ENT entity, and equal to 0 if their orthogonality is perfect
• P is the total transmission power of the ENT entity
• I m is an intercellular interference power experienced by the ELE element m and represents an interaction between the ENT entity and one or more entities neighboring the ENT entity, and
• N is the thermal noise power of the receiver of the element ELE m .
• a signal to interference and fictitious noise ratio p m received by an element ELE m is defined by the following relation:
• a power p consumed by all the elements ELE m is given by the sum of the transmission powers p m dedicated by the entity ENT to the elements ELE m .
• a transmission power p m dedicated by the entity ENT to the element ELE m is given by the following relation:
• the ENT is modeled as an equivalent base station serving a single central element defined as the centroid of the M ELE m elements.
• This central element consumes the power p and has a signal to interference ratio and central noise p defined as the sum of the fictitious relationships p m of relation (3):
• This central element suffers a single interference which is intercellular interference.
• This interference increases a central path loss L relative to the central element and causes an increase in the transmission power of the ENT entity to compensate for this weakening.
• the central path loss L is then defined as the state indicator IE 2 associated with the coverage.
• a signal to interference and central noise ratio received by the central element is defined by the following relation: P / L
• the signal to interference ratio and central noise received by the central element becomes:
• the signal to interference ratio and central noise p then constitutes the state indicator IE] _ associated with the ability.
• the expression of the state indicator IEi is therefore in accordance with relation (1), a quality indicator Ii m being defined by p m according to relation (10) and a weighting coefficient ⁇ im being equal to 1.
• the status indicator IEi only depends on quantities accessible from the network, which are for example notably powers received by a mobile on a mobile-specific traffic channel and on the common pilot channel.
• ⁇ P / Pmax.
• the boundary surface SF relative to the entity ENT is defined by the equation of the relation (12) with a predetermined target load ⁇ s .
• FIG. 4 shows an example of the state space allowed for the ENT entity bounded by the SF boundary surface with a target charge ⁇ s that is 85% predetermined and a fraction of the total power dedicated to the channels common to 20%.
• a current state EA estimated at time t of the entity ENT and a future state EF estimated for the moment t + 1 depend on the two state indicators IE] _ and IE 2 determined at the instant t and correspond to the coordinates x t and y t and the coordinates xt + i e t y t +1 - a distance between the estimated current state EA at time t and estimated future state EF at time t + 1 is written:
• x s be a solution among the four possible solutions of the preceding equation satisfying the relation 0 ⁇ x s ⁇ 1 - ⁇ / ⁇ s , where x s is equal to 1 - ⁇ / ⁇ s when the corresponding ordinate y s equals to 0 from the state equation (12).
• the considered ENT entity is an access point in a WLAN type network.
• the capacity of the entity depends on the number of elements managed by the entity and radio propagation conditions between the elements and the entity.
• the status indicator IE 2 associated with the coverage of the access point depends on signal received signal ratios on interference and noise SINR m which are evaluated by the elements ELE m and which characterize the radio coverage of the access point.
• the choice of a physical rate R m allocated to an element ELE m is determined according to the ratio SINR 1n evaluated by the latter. In the case of WLAN network according to 802.11b, four physical rates are specified:
• R 1 , 1 if SINR min ⁇ SINR m ⁇ a,
• R m 11 if SINR m > C 1 or SINR min , a, b and c are predetermined constants from a quality table.
• the state indicator IE 2 expresses in decibel dB is given by the following relation:
• a quality indicator I 2 where m is a signal to interference and noise ratio SINR m relating to an element ELE m and a coefficient of weighting ⁇ 2 , m being defined as the inverse of the physical rate gives R m allocates to an element ELE m on the sum of the inverses of all the physical flows allocated to the elements ELEi to ELE M.
• the state indicator IE ⁇ associated with the capacity of the access point depends on the total bit rate of the latter which is equal to the sum of bit rates S m experienced by the elements ELE m during a predetermined period, expressed in megabits per second.
• P s is the probability of success of a communication of duration T sm between the entity ENT and the element ELE m during a time interval ⁇
• K is the size of a packet of data transmitted during a communication between the entity and the element ELE m
• Pi dl es e tl has probability of a traffic channel is empty ⁇ for a time interval
• P c (1 - P 1C IIE) / M ⁇ p s is the probability of collision of a communication period T cm between the entity and the element ELE m and a communication between another element and the entity, M being the number of elements ELE m .
• the expression of the state indicator IEi is therefore in accordance with relation (1), the quality indicators Ii m being flow rates S m respectively felt by the elements ELE m and the weighting coefficients ⁇ i / m being all equal. 1.
• Figure 5 is an example of the allowed state space for the ENT.
• the boundary surface SF defining the allowed state space has a stepped shape due to the four allowed physical rates for the WLAN network.
• the current state EA of the ENT entity estimates at a time t is further away from the SF boundary surface than the future state EF of the entity estimates for a time t + 1. It appears that a new element requesting an admission into the WLAN is close to the access point since the future state EF has a higher rate on the abscissa and a signal-to-interference ratio and lower noise on the ordinate than those of the current state EA. Moreover, this new element can be admitted since the future state EF does not leave the authorized state space delimited by the boundary surface SF.
• the resource management is related to a admission control of a mobile in a UMTS type network.
• the coverage and the capacity of a base station in a UMTS network are linked by the presence of intracellular and intercellular interference experienced by the mobiles served by the base station.
• An increase in the station's capacity increases the intracellular interference experienced by the mobile served by the station, which reduces the coverage of the station.
• the capacity can be limited by two factors: an excess of the number of mobile and requested bit rate and an excess of intercellular interference. Coverage can also be limited by two factors: an excess of intercellular interference and a large number of mobiles with poor radio propagation conditions, ie a high loss.
• An admission control algorithm according to the invention takes into account all these factors, and in particular the intercellular interference experienced by the base station. According to the algorithm, an admission threshold SA1 relating to the capacity and an admission threshold SA2 are defined. relative to the coverage, corresponding to a cost defined in step E4.
• a current state of the station is estimated for a number M of mobiles according to the state indicators IEi (M) and IE 2 (M ) associated respectively with the capacity and the coverage, and a future state in which would be the station if the mobile is accepted is estimated for a number M + 1 of mobiles according to the same indicators of state IE 1 (M + 1) and IE 2 (M + 1).
• the mobile is not accepted if one of the following conditions is satisfied: the indicator IEi (M + 1) exceeds the threshold SA1 and / or the indicator IE 2 (M + 1) exceeds the threshold SA2 or the distance between the estimated future state and a boundary surface calculated as a function of target values assigned to the two state indicators is less than a first predetermined threshold, or the distance between the estimated current state and the state estimated future is greater than the second predetermined threshold.
• the invention described herein relates to a method and a device for estimating an operating state of an entity adapted to manage elements in a radio communication network.
• the steps of the method of the invention are determined by the instructions of a computer program incorporated in the estimation device according to the invention.
• the program includes program instructions which, when said program is executed in a processor of the device whose operation is then controlled by executing the program, carry out the steps of the method according to the invention.
• the invention also applies to a computer program, in particular a computer program recorded on or in a computer readable recording medium and any data processing device, adapted to implement the computer program.
• This program can use any programming language, and be in the form of source code, object code, or intermediate code between source code and object code such as in a partially compiled form, or in any other form desirable to implement the method according to the invention.
• the recording medium may be any entity or device capable of storing the program.
• the medium may comprise storage means on which the computer program according to the invention is recorded, such as a ROM, for example a CD ROM or a microelectronic circuit ROM, or a USB key, or magnetic recording means, for example a floppy disk or a hard disk.
• the recording medium may be a transmissible medium such as an electrical or optical signal, which may be conveyed via an electrical or optical cable, by radio or by other means.
• the program according to the invention can in particular be downloaded to an Internet type network.
• the recording medium may be an integrated circuit in which the program is incorporated, the circuit being adapted to execute or to be used in the execution of the method according to the invention.

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• Engineering & Computer Science (AREA)
• Computer Networks & Wireless Communication (AREA)
• Signal Processing (AREA)
• Mobile Radio Communication Systems (AREA)

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• 2008
  • 2008-02-18 EP EP08762116A patent/EP2147522A2/de not_active Withdrawn
  • 2008-02-18 WO PCT/FR2008/050268 patent/WO2008122730A2/fr not_active Ceased

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