CN1801999A - Wireless resource occupation algorithm for wireless communication system - Google Patents

Abstract

Said invention refers to wireless resource occupying algorithm of data grouping service. It contains selecting one service from data grouping service as basic service, calculating each service relatively wireless resource intensity, based on based on selected basic service utilizing each service resource intensity doing weighted average to each service volume, mixing to one virtual mixed service, to obtain virtual mixed service total amount, then utilizing Erlang C method to satisfy certain of QoS required virtual channel number, and then to obtain grouped data service required occupied channel number. Utilizing similar method, said invention can obtain occupied channel number for satisfying certain of blocking rate circuit switching service required. Thereby, it can proceed evaluation to wireless communication systematical wireless resource occupied status including circuit switching domain and grouping exchange domain. Said invention has advantages of leading-in virtual mixed service total amount, thereby in consideration of data grouping service delay and retransmission.

Description

Wireless resource occupation algorithm for wireless communication system

Technical field

The present invention relates to field of wireless communications systems, relate in particular to the algorithm that miscellaneous service takies Radio Resource in the wireless communication system.

Background technology

In wireless communication system network planning, the analysis that Radio Resource is taken is an important prerequisite of the whole network planning.Up to this point, we only have a more clearly understanding to the behavior of speech business in network, and for data service network resources demand situation, the data service behavior in the mobile network are known little about it.We need make a concrete analysis of in the cordless communication network different business to the situation that takies of Radio Resource in this case, accurately understand exchange and base station system capacity, and this is to reasonably carrying out in the future network configuration and design and network design playing basic directive function.

The data service wireless resource allocation is according to data user's prediction is relatively and come when throughput rate and single busy cells when busy to the every user of existing network.Along with the operation of 3G, the data service in a large amount of broadbands and voice service can realize in the WCDMA network, and present GPRS data service is to the WCDMA network transitions main trend that is inevitable.Yet aspect the finite bandwidth resources effective utilized, data and speech were a pair of contradiction forever.In different periods and place, will there be different emphasis in this to contradiction, also just may provide different allocation plans.How more reasonably so-called " effectively utilize " be exactly the contradiction of reconciled data and speech.The operation of 3G has brought new bandwidth and high frequency efficiency, has brought new problem also for the adjustment of 2G data service carrying platform.

In the 2G wireless network, be main network particularly for single voice service is provided, as the GSM network, can think simply that the voice channel number that single base station provides is constant.Under the situation of the given percent of call lost, look into ERLANG B and can draw the Irish number that single sector provides under this percent of call lost.And for the cordless communication network that both can provide voice service that data service can be provided, situation can be different when carrying out the resource occupation analysis.When estimating, usual way be data service according to taking the corresponding voice channel number of how much being converted to of resource, and then look into the relation that ERLANG B draws call loss and capacity.Yet, for the 3G system, for example, in offering the WCDMA system of user's multiple business, not only provide basic speech business, the PS business of multiple bearer rate also can be provided simultaneously, as the Email business, WWW browses the business of grade.Because data service has characteristics such as time-delay, re-transmission, some wireless communication system itself is again interference-limited system, as the WCDMA system, the required signal to noise ratio of different business is different, so, different data services has separately characteristics to taking of Radio Resource, and its service resource intensity that takies is different.Therefore, when providing multiple business in the sub-district, how to estimate scientifically and rationally under certain load, (the CS business is presented as the blocking probability requirement under requiring satisfying certain user Qos; The PS business is presented as throughput and delay requirement) number of users that can support of sub-district just becomes a problem.This need analyze and study the capacity of multiple business.About the estimation of the cell capacity under the multi-service situation, a lot of manufacturers and a large amount of documents and materials were all launched to analyze to this.But suggestion each other is not very unified.Main thought has: adopt the virtual service volume calculation, to the independent estimation of miscellaneous service load, Stochastic Knapsack algorithm etc.

The basic principle of traditional mixed service (comprising the PS business) volume calculation be exactly with all miscellaneous service equivalences to a kind of virtual service, adopt the method for single CS volume of business analysis to obtain the volume calculation result of mixed service then; This algorithm is equal to the volume calculation of CS business to the volume calculation of PS business, and the two is consistent.Therefore, essentially, traditional mixed services capacity estimation does not have can't embody the characteristic of PS data traffic delay time, re-transmission yet.The traditional algorithm of other computing service resource, as Erlang B method, it comes from many servers loss system, be that the user finds to leave behind the line be busy at once, this is applicable to the calculation of capacity of traditional C territory business, it can only reflect the characteristics of obstruction, and is powerless to the professional time-delay of data, the characteristics that retransmit, can not be applicable to the situation of this multi-service of cordless communication network such as WCDMA, many qos requirements fully.

For data service, adopt Erlang C method to calculate its service resources now mostly.Erlang C is based on wait system, and it comes from many servers waiting system, and promptly the user enters the service always waited until after the system and finishes just and leave.If only consider the data volume (bits) of data service, then use Erlang C to calculate, the constraints of Erlang C method can reflect user's expectation fully; If consider bandwidth (bps) requirement of data service, then only partly use Erlang C method to a certain extent, this is because also embodied the relative value of service time in the constraints of ErlangC method.Professional for data, identical Irish number is because the data volume of the different representatives of channel width is different.If in wireless-transmission network, unified all business data packet for the treatment of, the time delay of every kind of business is a same distribution, though can not realize to every kind of bandwidth demand that business is independent, but, then can use Erlang C method under the condition in the relative time delay of user's expection if the user understands and approval this present situation.If but the difference of consideration user's bandwidth requirement, then Erlang C method is applicable to not exclusively that also the WCDMA cell capacity calculates.In addition, owing to use Erlang C method calculated data service resources in the prior art, be that the business of different pieces of information speed is separately adjusted, therefore can not make full use of channel, thereby junction efficiency is low.

Summary of the invention

The resource occupation algorithm for wireless and the wireless resource occupation algorithm for wireless communication system that the purpose of this invention is to provide a kind of Packet Service, thereby understand and the professional actual intensity that takies Radio Resource of calculated data, excavate the potentiality of existing Radio Resource bearing data service, more clearly understand the current data business volume and the demand of bandwidth.

Basic principle of the present invention be exactly with all miscellaneous service equivalences on a kind of virtual mixed service, the Radio Resource of virtual mixed service is taken analyze the volume calculation result who obtains virtual mixed service then.It embodies the difference that take intensity of different business to resource, has also embodied the block domain data service this qos requirement of delaying time.

For realizing the object of the invention, the invention provides a kind of resource occupation algorithm for wireless that is used for Packet data service on the one hand, it comprises the steps:

Step 1: the business of choosing from Packet data service is as basic service;

Step 2: calculate each professional service resource intensity a _i

Step 3: the pseudo channel c (implication of pseudo channel will provide in corresponding place in specification, as definition) that calculates packet-switched domain by following formula;

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

Wherein, i represents i business, γ _iBe the rate of arriving calls of professional i, b _iBe the average call retention time of professional i, N _iNumber of users for Zone i;

Step 4: based on selected basic service, utilize each professional service resource intensity that each professional traffic carrying capacity is done weighted average, be mixed into a virtual mixed service, calculate this virtual mixed service total amount by following formula;

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c

Step 5:, utilize Erlang C method to try to achieve and satisfy the pseudo channel number that certain QoS requires according to the virtual mixed service total amount that obtains;

Step 6: utilize relative Radio Resource intensity, resulting pseudo channel number conversion is become the fundamental service channel number by following formula:

Fundamental service channel number=pseudo channel is counted the service resource intensity of * c+ fundamental service channel

Thereby obtain the required number of channel that takies of Packet data service.

According to said method of the present invention, in described step 6, the service resource intensity value of described basic service is 1, and by following formula resulting fundamental service channel number conversion is become the voice service number of channel:

Wherein,

R ₀The bearer rate of expression voice service,

(E _b/ N _o) ₀The required E of expression voice service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of voice service,

v ₀The activity factor of expression voice service,

R _{0 ＇}The bearer rate of expression PS territory basic service,

(E _b/ N _o) _{0 ＇}The required E of expression PS territory basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v _{0 ＇}The activity factor of expression PS territory basic service;

Represent the required number of channel that takies of Packet data service by the voice service number of channel.

According to said method of the present invention, in described step 2, described each professional service resource intensity bearer rate, activity factor, signal to noise ratio parameter characterization are:

$a_j=\frac{R_j\·{(E_b/N_0)}_j\·v_j}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein,

J represents j business;

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

v ₀Expression is this professional activity factor suddenly;

a _iRepresent the service resource intensity of professional j with respect to fundamental service channel,

R _jThe bearer rate of representing professional j;

(E _b/ N _o) _jRepresent the E that professional j is required _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

V _iThe activity factor of representing professional j.

According to said method of the present invention,, be for the service resource intensity of the uplink service of wireless communication system in described step 2:

$a_i=\frac{1+\frac{W}{{(E_b/N_o)}_0{v}_0{R}_0}}{1+\frac{W}{{(E_b/N_o)}_i{v}_i{R}_i}}$

The relative resource intensity of downlink business is:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein:

I represents i business,

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

V ₀The activity factor of expression basic service;

(E _b/ N _o) _iThe required E of-professional i _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

The W-spreading rate;

V _iThe activity factor of-professional j;

R _iThe bit rate of-professional j.

On the other hand, the present invention also provides a kind of resource occupation algorithm for wireless of wireless communication system, and it comprises the steps:

Step 1: with the traffic differentiation of wireless communication system is circuit commutative field and packet-switched domain;

Step 2: be respectively circuit commutative field and packet-switched domain and choose a business as basic service;

Step 3: the relative resource occupation intensity a that calculates each business _i

Step 4: by the pseudo channel c of following formula difference counting circuit switching domain and packet-switched domain;

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

Wherein, i represents i business, γ _iBe the rate of arriving calls of professional i, b _iBe the average call retention time of professional i, N _iNumber of users for Zone i;

Step 5: to circuit commutative field and packet-switched domain, respectively based on selected basic service, utilize each professional service resource intensity that each professional traffic carrying capacity is done weighted average, respectively circuit commutative field is become a virtual mixed service with each mix of traffic in the packet-switched domain, by the following formula virtual mixed service total amount of counting circuit switching domain and packet-switched domain respectively:

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c

Step 6: utilize Erlang B method to try to achieve to the virtual mixed service of circuit commutative field and satisfy the pseudo channel number that certain blocking rate requires; Utilize Erlang C method to try to achieve to the virtual mixed service of packet-switched domain and satisfy the pseudo channel number that certain QoS requires;

Utilize service resource intensity, convert the circuit commutative field of trying to achieve and the pseudo channel number of packet-switched domain to corresponding fundamental service channel number respectively by following formula:

Fundamental service channel number=pseudo channel is counted the service resource intensity of * c+ fundamental service channel;

Step 7: according to the circuit commutative field of gained and the fundamental service channel number of packet-switched domain obtain the required number of channel that takies in wireless communication system sub-district respectively.

According to said method of the present invention, wherein between described step 6 and step 7, also comprise a step: a kind of fundamental service channel number conversion in the fundamental service channel number of the circuit commutative field of trying to achieve and packet-switched domain is become another kind of fundamental service channel number by following formula:

Wherein,

R ₀The bearer rate of representing a kind of basic service,

(E _b/ N _o) ₀Represent the E that a kind of basic service is required _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v ₀The activity factor of representing a kind of basic service,

R _{0 '}The bearer rate of representing another kind of basic service,

(E _b/ N _o) _{0 ＇}Represent the E that another kind of basic service is required _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v _{0 '}The activity factor of representing another kind of basic service;

In described step 7, the fundamental service channel of the circuit commutative field of gained respectively and packet-switched domain is counted addition obtain the required number of channel that takies in wireless communication system sub-district.

According to said method of the present invention, wherein in described step 2, for the selected basic service of circuit commutative field is a voice service;

In described step 6, the service resource intensity value of described fundamental service channel is 1, then the pseudo channel number of the circuit commutative field of being tried to achieve is directly changed into the voice service number of channel, and the pseudo channel number conversion of the packet-switched domain of being tried to achieve is become its fundamental service channel number by following formula:

Fundamental service channel number=pseudo channel is counted * c+1;

In described step 7, the fundamental service channel number conversion of resultant packet-switched domain is become the voice service number of channel:

Wherein,

R ₀The bearer rate of expression voice service,

(E _b/ N _o) ₀The required E of expression voice service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of voice service,

v ₀The activity factor of expression voice service,

R _{0 '}The bearer rate of expression PS territory basic service,

(E _b/ N _o) _{0 '}The required E of expression PS territory basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v _{0 '}The activity factor of expression PS territory basic service;

In described step 8, the summation of the voice service number of channel of circuit commutative field and packet-switched domain is promptly obtained the required number of channel that takies in wireless communication system sub-district.

According to said method of the present invention, wherein in described step 3, parameter characterizations such as described each professional service resource intensity bearer rate, activity factor, signal to noise ratio can be expressed as simply:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein,

I represents different business,

a _iRepresent the service resource intensity of professional i with respect to fundamental service channel,

R _iThe bearer rate of representing professional i;

(E _b/ N _o) _iRepresent the E that professional i is required _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

V _iThe activity factor of representing professional i;

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

v ₀The activity factor of expression basic service.

According to said method of the present invention, wherein in described step 2, for circuit commutative field and packet-switched domain, up each professional service resource intensity is:

$a_i=\frac{1+\frac{W}{{(E_b/N_o)}_0{v}_0{R}_0}}{1+\frac{W}{{(E_b/N_o)}_i{v}_i{R}_i}}$

Descending each professional service resource intensity is:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein:

(E _b/ N _o) _iThe required E of-professional i _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

The W-spreading rate;

V _iThe activity factor of-professional j;

R _iThe bit rate of-professional j.

According to said method of the present invention, wherein in described step 5,, having under the situation of soft handover for circuit commutative field, the sub-district total traffic can increase, and at this moment calculates virtual mixed service total amount by following formula:

(the ∑ N of virtual mixed service total amount=(1+SHO) _iγ _iB _iA _i)/c

Wherein, SHO is the soft handover factor, corresponding to the ratio that increases owing to soft handover reason traffic carrying capacity.

According to said method of the present invention, be used for WCDMA or cdma system.

The present invention comes the method for evaluating wireless resource occupation to compare with traditional Erlang method by virtual mixed services capacity more reasonable, particularly used the EC method to reflect the time delay of data service, the characteristics of re-transmission; In addition, by the analysis to WCDMA self-interference system, it has reflected the contribution of WCDMA system different business to system interference to a certain extent.

It is pointed out that the soft handover reason because of some wireless communication system CS territory, the increase of base station (NodeB) traffic carrying capacity can cause the increase of BTS channel resource distribution, and is as follows to the consideration of this factor:

Consider that soft handover finally can embody the increase of traffic carrying capacity, concerning physical resources such as channel, handle extra traffic amount that takes place owing to the soft handover reason and the traffic carrying capacity of handling normal non-soft changing state generation without any difference.Because the two goes the busy channel resource with having no difference, in other words, channel resource is shared by the traffic carrying capacity of soft handover generation and the traffic carrying capacity of non-soft handover generation, so, aspect the configurating channel resource, we only need be multiplied by the soft handover factor on the traffic carrying capacity basis that the prediction of CS territory obtains, can obtain the required virtual mixed service total amount of CS territory resource distribution algorithm:

Wherein SHO is the soft handover factor, can be interpreted as the shared ratio of UE (user's handheld device is as mobile phone) that is in soft changing state simply, and its final embodiment is served as reasons in the increase of the caused traffic carrying capacity of increase of the RadioLink that is in soft changing state UE.Then, utilize CS territory resource occupation algorithm for wireless on this basis, calculate the configuration of Node B channel resource.The method of this processing soft handover traffic carrying capacity is saved resource than the method for giving the soft handoff configuration channel separately, and is also more reasonable.

Description of drawings

Fig. 1 has provided the flow chart of WCDMA system wireless resource occupation algorithm of the present invention.

Embodiment

At virtual mixed service, there is company to provide a kind of method based on Campbell.This method synthesis is considered all professional and be configured to the business of an equivalence, and comes computing system can provide this equivalence professional total telephone traffic in view of the above, obtains the calculation of capacity of mixed service then.This method utilizes Erlang B to calculate the corresponding number of channel at last, relatively is inclined to both at home and abroad at present and calculates the virtual mixed service in CS territory in this way.

Algorithm of the present invention is that the uniform service of different rates is adjusted, thereby makes the channel multiplexing rate height of base station, overcome to make full use of power system capacity, shortcoming that junction efficiency is low in the prior art, and the estimated value appropriateness of cell capacity in this algorithm.

Below, before providing the channel budget method of utilizing virtual mixed service to come calculation plot CS territory and PS territory, provide the several notions that will use earlier:

1, service resource intensity

Different business is to the situation that the takies difference of Radio Resource in the sub-district, and it is more that high speed business takies resource, and that the low speed business takies stock number is less.Campbell method definition service resource intensity reflects the take situation of different business to Radio Resource.

Under desirable power control state, the formula of up signal to noise ratio is:

${(E_b/N_o)}_j=\frac{W}{v_j{R}_j}\frac{P_j}{I_{\mathrm{total}}-P_j}$

Wherein:

(E _b/ N _o) _jRepresent the signal to noise ratio that professional j is required;

W represents spreading rate;

V _jThe activity factor of expression industry j;

R _jThe bearer rate of expression industry j;

P _jThe received signal power of expression industry j;

I _TotalPlace, expression base station comprises the received total wideband power of thermal noise

Draw thus,

$P_j=\frac{1}{1+\frac{W}{{(E_b/N_o)}_j{v}_j{R}_j}}{I}_{\mathrm{total}}$

This shows, the up received power of a business is not only relevant with snr of received signal, speed, the activity factor of this business need to the interference of other activating service in other words, also the gross power with base station reception at that time comprises that thermal noise is relevant, this has caused the up received power of a business to increase and increase along with the base station total received power, promptly under different up-link load conditions, it is different inserting the required received power of identical services.

Although the up received power that every kind of business is required and the load of system have direct relation, under certain loading condiction, the ratio of the up received power that different business is required and total received power are irrelevant, promptly satisfy:

$\frac{P_i}{P_j}=\frac{1+\frac{W}{{(E_b/N_o)}_j{v}_j{R}_j}}{1+\frac{W}{{(E_b/N_o)}_i{v}_i{R}_i}}---\left(1\right)$

Each business in the up link of so just can obtaining takies the relation of Radio Resource.

In like manner, we also can obtain single user's downlink load factor by analyzing the cell downlink load:

${\mathrm{\η}}_i=(1-a_i+i_i)*{(E_b/N_o)}_i*\frac{R_i}{W}*v_i$

$=(1-a_i+i_i)*v_i*\frac{{(E_b/N_o)}_i}{W/R_i}$

So if the hypothesis orthogonalization factor, adjacent area interference factor all are identical to all users in the sub-district, each business takies the relation of Radio Resource in the down link so, can be summed up as:

$\frac{{\mathrm{\η}}_j}{{\mathrm{\η}}_i}=\frac{\frac{{(E_b/N_o)}_j}{W/R_j}*v_j}{\frac{{(E_b/N_o)}_i}{W/R_i}*v_i}---\left(2\right)$

Can be drawn by top formula (1), (2), professional i is with respect to the service resource intensity a of basic service 0 _i, for up link,

$a_i=\frac{1+\frac{W}{{(E_b/N_o)}_0{v}_0{R}_0}}{1+\frac{W}{{(E_b/N_o)}_i{v}_i{R}_i}}---\left(3\right)$

For down link,

$a_i=\frac{\frac{{(E_b/N_o)}_i}{W/R_i}*v_i}{\frac{{(E_b/N_o)}_0}{W/R_0}*v_0}---\left(4\right)$

When the simple estimation that only is used on the engineering, promptly think the factor $\frac{W}{{(E_b/N_o)}_i*v_i*R_i}$ Much larger than 1 o'clock, top formula (1) can be reduced to following formula:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}---\left(5\right)$

Wherein,

I represents different business,

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

V ₀The activity factor of expression basic service.

From as can be known top, service resource intensity a _iBe a relative quantity, the professional attribute that takies of its expression to resource, it is characterized by this professional signal to noise ratio requirement, this professional bearer rate, this professional factor such as activity factor usually.But use formula (3) and/or (4) (generally for the CS territory actually, only use formula (3) to get final product, and, then use formula (3) and (4) for the PS territory) also be to use formula (5) to come the computing service resource intensity, depend on on-the-spot physical condition and required precision.

2, pseudo channel

For a virtual mixed service, i.e. the mixed service of combining by specific transactions, for the channel of its service is pseudo channel, this is the essence of pseudo channel in the resource occupation algorithm for wireless of virtual mixed service.

Pseudo channel for virtual mixed service service, must have quantitative channel attribute as a notion.The Campbell theory has provided the accounting formula of pseudo channel, as shown in the formula:

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}---\left(6\right)$

Wherein,

C represents pseudo channel,

I represents different business,

γ _iThe rate of arriving calls of representing professional i,

a _iThe service resource intensity of representing the relative basic service of professional i,

b _iThe average call retention time of representing professional i,

N _iThe number of users of expression Zone i,

Rate of arriving calls γ wherein _iWith average call holding time b _iThe calling strength attribute of expression Zone i.According to the definition of front parameter c, the value of pseudo channel is expressed as the fundamental service channel number quantitatively.

3, virtual mixed service total amount

The virtual mixed service in CS territory, sub-district can be represented with pseudo channel c, virtual mixed service total amount fully.Virtual mixed service total amount is:

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c (7)

4, pseudo channel number

According to the definition of pseudo channel, the pseudo channel number that the sub-district provides can be expressed as:

(8)

(1) Radio Resource in sub-district CS territory takies method

Provide the channel budget method in the CS territory of describing with service resource intensity, virtual mixed service total amount, pseudo channel, sub-district below.

1) at first, selected voice service is as the basic service in CS territory, sub-district, and other each business is with respect to the service resource intensity a of voice service in the calculation plot CS territory _iWherein, determine to adopt still formula (4) of formula (3), usually, when only simplifying estimation, adopt formula (3), and precision prescribed adopts formula (4) when high according to the physical condition at scene and required precision.

2) utilize service resource intensity a _iWith each professional traffic carrying capacity (N in the sub-district _iWith b _i, γ _iThree's product is the traffic carrying capacity of professional i) calculate the pseudo channel of virtual mixed service:

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

3) according to the virtual mixed service total amount of following formula calculation plot:

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c

Concerning physical resources such as channel, its capacity is changeless, when soft handover takes place, be equivalent to increase the number of users of channel resource, and the processing of the traffic carrying capacity that physical channel takes place the processing and the normal non-soft changing state of the extra traffic amount that taken place by soft handover is without any difference.And the traffic carrying capacity of the traffic carrying capacity of soft handover generation and the generation of non-soft handover is gone busy channel resource, i.e. the two shared channel resources with having no difference.For this reason, consider that soft handover finally can embody the increase of traffic carrying capacity, then on the basis of following formula, is multiplied by the factor S HO of a soft handover, like this

* (the ∑ N of virtual mixed service total amount=(1+SHO) _iγ _iB _iA _i)/c.

Wherein SHO is the soft handover factor, can be interpreted as the shared ratio of UE that is in soft changing state simply, and its final embodiment is served as reasons in the increase of the caused traffic carrying capacity of increase of the portable terminal wireless connections that are in soft changing state.

4), utilize Erlang B method to calculate and require down the pseudo channel number that the sub-district need provide at the blocking probability that satisfies 2% according to resulting virtual mixed service total amount.

5) the resource occupation intensity value in voice service is 1 o'clock, by resulting pseudo channel number, calculates the required voice service number of channel in sub-district, CS territory:

The voice service number of channel=pseudo channel is counted * c+1.

(2) sub-district PS territory resource occupation algorithm for wireless

It is generally acknowledged that the arrival of session meets Poisson distribution in the Packet Service.The transmission bandwidth of supposing WCDMA system wireline side again is much larger than wireless portion, system bandwidth promptly equals wireless signal-path band width, and do not consider that the WCDMA mobile terminal device uses the channel capacity restriction, do not consider of the restriction of RLC/MAC address to access capability yet, we think the WCDMA system are met the markov queuing model, therefore can use its Radio Resource of Erlang methods analyst to take situation.

Because when calculating Radio Resource, Erlang C method has limitation, so for the data service that more reasonably embodies different rates the intensity that takies to resource, and the delay character of characterization data business, here at first calculate the virtual mixed service of the data service of the multiple speed in PS territory, and then utilize the Radio Resource in ErlangC calculating PS territory to take, specific as follows:

1) a selected business is as the basic service in PS territory, and other each business is with respect to the service resource intensity a of this basic service in the calculating PS territory _iAt this moment, be to adopt above-mentioned formula (3) and (4) or formula (5), then determine according to the physical condition and the required precision at scene.Usually,, adopt above-mentioned formula (5), and precision prescribed adopts above-mentioned formula (3) and (4) when high only simplifying when estimation.

2) utilize service resource intensity a _iWith each professional traffic carrying capacity (N in the sub-district _iWith b _i, γ _iThree's product is the traffic carrying capacity of professional i) calculate the pseudo channel of virtual mixed service:

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

3) according to the virtual mixed service total amount of following formula calculation plot:

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c;

4), utilize Erlang C method to calculate under the requirement of QoS the pseudo channel number that the sub-district need provide according to resulting virtual mixed service total amount;

5), calculate the required fundamental service channel number in sub-district, PS territory by resulting pseudo channel number:

Fundamental service channel number=pseudo channel is counted * c+1;

Here, the service resource intensity value of basic service is 1.

Utilize the resource intensity of the selected basic service in PS territory then, the fundamental service channel number is changed into the voice service number of channel with respect to voice service.

The wherein calculating of PS territory pseudo channel number, basically can take method according to the CS territory Radio Resource of this paper introduction calculates, difference is choosing of basic service and selecting for use of Erlang method, also need not consider the soft handover factor that exists in some wireless communication system in addition.Promptly choosing a certain data service in PS territory is basic service, the virtual mixed service total amount in the PS territory that calculates; Under the prerequisite that satisfies certain wait system call loss constraints, can obtain the pseudo channel number of sub-district by looking into Erlang C table, and then try to achieve the required fundamental service channel number in PS territory then.Certainly, can change into the voice service number of channel to the fundamental service channel number that the PS territory obtains at last, the method that transforms is that the former is multiplied by the service resource intensity between PS territory fundamental service channel and the voice channel, thereby obtains the required equivalent voice service number of channel in PS territory.

(3) comprise the wireless resource occupation algorithm for wireless communication system in CS and PS territory

For wireless communication system, it may comprise multiple business, as comprising CS territory and PS territory simultaneously.To this, can be earlier be CS territory and PS territory with the traffic differentiation of wireless communication system, the CS territory of introducing according to above (), (two) part, the analysis that PS territory mobile service takies Radio Resource utilize virtual mixed service evaluation method calculating channel capacity requirement respectively to CS territory and PS territory then.At last the resulting equivalent voice service number of channel addition of CS territory and PS territory is promptly obtained the required total channel configuration in base station.

Sub-district with the WCDMA system is that example is specifically described below.The evaluation method of the required Radio Resource that takies of WCDMA system comprises the steps:

Step 1: with the traffic differentiation of wireless communication system is circuit commutative field and packet-switched domain;

Step 2: choose the basic service that voice service is a circuit commutative field, an optional business is as basic service in packet-switched domain;

Step 3: the relative resource occupation intensity a that calculates each business _i

Step 4: by the pseudo channel c of following formula difference counting circuit switching domain and packet-switched domain;

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

Wherein, i represents i business, γ _iBe the rate of arriving calls of professional i, b _iBe the average call retention time of professional i, N _iNumber of users for Zone i;

Step 5:,, utilize wherein each professional service resource intensity a respectively based on selected basic service for circuit commutative field and packet-switched domain _iEach professional traffic carrying capacity is done weighted average, respectively circuit commutative field is become a virtual mixed service with each mix of traffic in the packet-switched domain, by the following formula virtual mixed service total amount of counting circuit switching domain and packet-switched domain respectively:

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c

Step 6: utilize Erlang B method to try to achieve to the virtual mixed service of circuit commutative field and satisfy the pseudo channel number that certain blocking rate requires; The pseudo channel number that utilizes Erlang C method to try to achieve to satisfy certain QoS to require to the virtual mixed service of packet-switched domain,

Utilize service resource intensity a _i, convert the circuit commutative field of trying to achieve and the pseudo channel number of packet-switched domain to corresponding fundamental service channel number according to following formula respectively:

Fundamental service channel number=pseudo channel is counted * c+1;

Here, the service resource intensity value of basic service is 1;

Step 7: utilize service resource intensity, the fundamental service channel number conversion of the packet-switched domain of trying to achieve is become the voice service number of channel;

Step 8: the voice service number of channel summation of circuit commutative field and the final gained of packet-switched domain is promptly obtained the required number of channel that takies of this WCDMA system cell.

Claims (12)

1. a resource occupation algorithm for wireless that is used for Packet data service is characterized in that, comprises the steps:

Step 1: the business of choosing from Packet data service is as basic service;

Step 2: calculate each professional service resource intensity a _i

Step 3: the pseudo channel c (implication of pseudo channel will provide in corresponding place in specification, as definition) that calculates packet-switched domain by following formula;

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

Wherein, i represents i business, γ _iBe the rate of arriving calls of professional i, b _iBe the average call retention time of professional i, N _iNumber of users for Zone i;

Step 4: based on selected basic service, utilize each professional service resource intensity that each professional traffic carrying capacity is done weighted average, be mixed into a virtual mixed service, calculate this virtual mixed service total amount by following formula;

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c

Step 5:, utilize Erlang C method to try to achieve and satisfy the pseudo channel number that certain QoS requires according to the virtual mixed service total amount that obtains;

Step 6: utilize relative Radio Resource intensity, resulting pseudo channel number conversion is become the fundamental service channel number by following formula:

Fundamental service channel number=pseudo channel is counted the service resource intensity of * c+ fundamental service channel

Thereby obtain the required number of channel that takies of Packet data service.

2. the resource occupation algorithm for wireless of Packet data service according to claim 1, it is characterized in that, in described step 6, the service resource intensity value of described basic service is 1, and by following formula resulting fundamental service channel number conversion is become the voice service number of channel:

Wherein,

R ₀The bearer rate of expression voice service,

(E _b/ N _o) ₀The required E of expression voice service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of voice service,

v ₀The activity factor of expression voice service,

R _{0 '}The bearer rate of expression PS territory basic service,

(E _b/ N _o) _{0 '}The required E of expression PS territory basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v _{0 '}The activity factor of expression PS territory basic service;

Represent the required number of channel that takies of Packet data service by the voice service number of channel.

3. the resource occupation algorithm for wireless of Packet data service according to claim 1 is characterized in that, in described step 2, described each professional service resource intensity bearer rate, activity factor, signal to noise ratio parameter characterization are:

$a_j=\frac{R_j\·{(E_b/N_0)}_j\·v_j}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein,

J represents j business;

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

v ₀The activity factor of expression basic service;

a _iRepresent the service resource intensity of professional j with respect to fundamental service channel,

R _jThe bearer rate of representing professional j;

(E _b/ N _o) _jRepresent the E that professional j is required _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

v _jThe activity factor of representing professional j.

4, resource occupation algorithm for wireless according to claim 1 is characterized in that,

In described step 2, be for the service resource intensity of the uplink service of wireless communication system:

$a_i=\frac{1+\frac{W}{{(E_b/N_o)}_0{v}_0{R}_0}}{1+\frac{W}{{(E_b/N_o)}_i{v}_i{R}_i}}$

The relative resource intensity of downlink business is:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein:

I represents i business,

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

v ₀The activity factor of expression basic service;

(E _b/ N _o) _iThe required E of-professional i _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

The W-spreading rate;

v _iThe activity factor of-professional j;

R _iThe bit rate of-professional j.

5. the resource occupation algorithm for wireless of a wireless communication system is characterized in that, comprises the steps:

Step 1: with the traffic differentiation of wireless communication system is circuit commutative field and packet-switched domain;

Step 2: be respectively circuit commutative field and packet-switched domain and choose a business as basic service;

Step 3: the relative resource occupation intensity a that calculates each business _i

Step 4: by the pseudo channel c of following formula difference counting circuit switching domain and packet-switched domain;

$c=\frac{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i^2{b}_i}{\underset{i}{\mathrm{\Σ}}{N}_i{\mathrm{\γ}}_i{a}_i{b}_i}$

Wherein, i represents i business, γ _iBe the rate of arriving calls of professional i, b _iBe the average call retention time of professional i, N _iNumber of users for Zone i;

Step 5: to circuit commutative field and packet-switched domain, respectively based on selected basic service, utilize each professional service resource intensity that each professional traffic carrying capacity is done weighted average, respectively circuit commutative field is become a virtual mixed service with each mix of traffic in the packet-switched domain, by the following formula virtual mixed service total amount of counting circuit switching domain and packet-switched domain respectively:

Virtual mixed service total amount=(∑ N _iγ _iB _iA _i)/c

Step 6: utilize Erlang B method to try to achieve to the virtual mixed service of circuit commutative field and satisfy the pseudo channel number that certain blocking rate requires; Utilize Erlang C method to try to achieve to the virtual mixed service of packet-switched domain and satisfy the pseudo channel number that certain QoS requires;

Utilize service resource intensity, convert the circuit commutative field of trying to achieve and the pseudo channel number of packet-switched domain to corresponding fundamental service channel number respectively by following formula:

Fundamental service channel number=pseudo channel is counted the service resource intensity of * c+ fundamental service channel;

Step 7: according to the circuit commutative field of gained and the fundamental service channel number of packet-switched domain obtain the required number of channel that takies in wireless communication system sub-district respectively.

6. resource occupation algorithm for wireless in the wireless communication system according to claim 5, it is characterized in that, between described step 6 and step 7, also comprise a step: a kind of fundamental service channel number conversion in the fundamental service channel number of the circuit commutative field of trying to achieve and packet-switched domain is become another kind of fundamental service channel number by following formula:

Wherein,

R ₀The bearer rate of representing a kind of basic service,

(E _b/ N _o) ₀Represent the E that a kind of basic service is required _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v ₀The activity factor of representing a kind of basic service,

R _{0 '}The bearer rate of representing another kind of basic service,

(E _b/ N _o) _{0 '}Represent the E that another kind of basic service is required _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v _{0 '}The activity factor of representing another kind of basic service;

In described step 7, the fundamental service channel of the circuit commutative field of gained respectively and packet-switched domain is counted addition obtain the required number of channel that takies in wireless communication system sub-district.

7. resource occupation algorithm for wireless in the wireless communication system according to claim 6 is characterized in that,

In described step 2, for the selected basic service of circuit commutative field is a voice service;

In described step 6, the service resource intensity value of described fundamental service channel is 1, then the pseudo channel number of the circuit commutative field of being tried to achieve is directly changed into the voice service number of channel, and the pseudo channel number conversion of the packet-switched domain of being tried to achieve is become its fundamental service channel number by following formula:

Fundamental service channel number=pseudo channel is counted * c+1;

In described step 7, the fundamental service channel number conversion of resultant packet-switched domain is become the voice service number of channel:

Wherein,

R ₀The bearer rate of expression voice service,

(E _b/ N _o) ₀The required E of expression voice service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of voice service,

v ₀The activity factor of expression voice service,

R _{0 '}The bearer rate of expression PS territory basic service,

(E _b/ N _o) _{0 '}The required E of expression PS territory basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service,

v _{0 '}The activity factor of expression PS territory basic service;

In described step 8, the summation of the voice service number of channel of circuit commutative field and packet-switched domain is promptly obtained the required number of channel that takies in wireless communication system sub-district.

8. wireless resource occupation algorithm for wireless communication system according to claim 5 is characterized in that, in described step 3, parameter characterizations such as described each professional service resource intensity bearer rate, activity factor, signal to noise ratio can be expressed as simply:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein,

I represents different business,

a _iRepresent the service resource intensity of professional i with respect to fundamental service channel,

R _iThe bearer rate of representing professional i;

(E _b/ N _o) _iRepresent the E that professional i is required _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

v _iThe activity factor of representing professional i;

R ₀The bearer rate of expression basic service;

(E _b/ N _o) ₀The required E of expression basic service _b/ N _o, i.e. the signal to noise ratio requirement of the correct demodulation of basic service;

v ₀The activity factor of expression basic service.

9. the resource occupation algorithm for wireless of wireless communication system according to claim 5 is characterized in that,

In described step 2, for circuit commutative field and packet-switched domain, up each professional service resource intensity is:

$a_i=\frac{1+\frac{W}{{(E_b/N_o)}_0{v}_0{R}_0}}{1+\frac{W}{{(E_b/N_o)}_i{v}_i{R}_i}}$

Descending each professional service resource intensity is:

$a_i=\frac{R_i\·{(E_b/N_0)}_i\·v_i}{R_0{(E_b/N_0)}_0\·v_0}$

Wherein:

(E _b/ N _o) _iThe required E of-professional i _b/ N _o, the signal to noise ratio requirement of the correct demodulation of promptly professional j;

The W-spreading rate;

v _iThe activity factor of-professional j;

R _iThe bit rate of-professional j.

10. according to described wireless resource occupation algorithm for wireless communication system one of among the claim 5-9, it is characterized in that, in described step 5, for circuit commutative field, having under the situation of soft handover, the sub-district total traffic can increase, and at this moment calculates virtual mixed service total amount by following formula:

(the ∑ N of virtual mixed service total amount=(1+SHO) _iγ _iB _iA _i)/c

Wherein, SHO is the soft handover factor, corresponding to the ratio that increases owing to soft handover reason traffic carrying capacity.

11. according to described wireless resource occupation algorithm for wireless communication system one of in the claim 5 to 9, it is characterized in that, be used for WCDMA or cdma system.

12. wireless resource occupation algorithm for wireless communication system according to claim 10 is characterized in that, is used for WCDMA or cdma system.