CN1801999A

CN1801999A - Wireless resource occupation algorithm for wireless communication system

Info

Publication number: CN1801999A
Application number: CN 200410082398
Authority: CN
Inventors: 张淑伟; 马华兴; 高鹏
Original assignee: Beijing P & T Consulting & Design Institute Co Ltd
Current assignee: Beijing P & T Consulting & Design Institute Co Ltd
Priority date: 2004-12-31
Filing date: 2004-12-31
Publication date: 2006-07-12
Anticipated expiration: 2024-12-31
Also published as: CN100391302C

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 of wireless communication system

Technical Field

The invention relates to the field of wireless communication systems, in particular to an algorithm for occupying wireless resources by various services in a wireless communication system.

Background

In the network planning of the wireless communication system, the analysis of the occupation of the wireless resources is an important prerequisite for the whole network planning. Until now, we only have a clear understanding of the behavior of voice traffic in the network, and have little knowledge of the demand of data traffic on network resources and the behavior of data traffic in the mobile network. In such a situation, the occupation situation of different services in the wireless communication network on the wireless resources needs to be specifically analyzed, and the switching and base station system capacity is accurately known, which plays a fundamental guiding role in reasonably designing the network structure and deploying the network in the future.

The allocation of data traffic radio resources is based on a comparison of the current network per user busy hour throughput rate and the predicted data user single cell busy hour throughput rate. With the operation of 3G, a large amount of broadband data services and voice services can be implemented in WCDMA networks, and the transfer of GPRS data services to WCDMA networks is a big trend. However, data and voice are always a contradiction in terms of efficient utilization of limited bandwidth resources. At different times and locations, there may be different emphasis on the contradiction, and different configuration schemes may be provided. So-called "efficient use" is how to more reasonably reconcile the contradiction between data and voice. The operation of 3G brings new bandwidth and high frequency utilization rate, and also brings new problems to the adjustment of the 2G data service bearer platform.

In 2G wireless networks, especially for networks that provide predominantly single voice services, such as GSM networks, the number of voice channels provided by a single base station can simply be considered constant. Looking at the irish B table, given the call loss rate, can derive the number of irises that a single sector provides at that call loss rate. For a wireless communication network that can provide both voice services and data services, the situation may be different when performing resource occupancy analysis. In the estimation, the general method is to convert the data service into the corresponding number of voice channels according to the occupied resource, and then look up the Ireland B table to obtain the relationship between call loss and capacity. However, for 3G systems, for example, in WCDMA systems providing multiple services to users, not only basic voice services but also PS services with multiple bearer rates, such as Email service, WWW browsing, etc., can be provided. Because data services have the characteristics of time delay, retransmission and the like, some wireless communication systems are systems with limited interference, such as WCDMA systems, and the signal-to-noise ratios required by different services are different, the occupation of wireless resources by different data services has respective characteristics, and the intensity of the occupied service resources is different. Therefore, when a cell provides multiple services, how to scientifically and reasonably estimate the number of users that the cell can support under certain load and certain user QoS requirements (CS service is embodied as blocking probability requirement; PS service is embodied as throughput rate and delay requirement) becomes a problem. This requires analysis and study of the capacity of multiple services. This has been analyzed by many vendors and by a large body of literature regarding cell capacity estimation in multi-service scenarios. However, the opinions of each other are not very uniform. The main idea is as follows: virtual traffic capacity estimation, independent estimation of various traffic loads, a Stochastic Knapack algorithm, and the like are adopted.

The basic principle of traditional mixed service (including PS service) capacity estimation is to equate all kinds of services to a virtual service, and then obtain the capacity estimation result of the mixed service by adopting a single CS service capacity analysis method; this algorithm equates the capacity estimate for PS traffic to the capacity estimate for CS traffic, both of which are identical. Therefore, in the fundamental, the traditional mixed service capacity estimation cannot reflect the characteristics of the PS data service delay and retransmission. Other traditional algorithms for calculating service resources, such as the Erlang B method, come from a multi-server loss system, that is, a user leaves immediately after discovering that a line is busy, which is suitable for capacity calculation of the traditional CS domain service, can only reflect the characteristics of blocking, has no capacity for the characteristics of data service delay and retransmission, and cannot be completely suitable for the situation of multi-service and multi-QoS requirements of wireless communication networks such as WCDMA and the like.

For data services, the Erlang C method is mostly adopted to calculate the service resources. Erlang C is based on a wait-system, which comes from a multi-server wait-system, i.e., a user waits until the service is complete after entering the system before leaving. If only the data volume (bits) of the data service is considered, Erlang C calculation is used, and the constraint condition of the Erlang C method can completely reflect the expectation of the user; the Erlang C method is only partially used to some extent if the bandwidth (bps) requirement of the data traffic is taken into account, because the relative value of the service time is also reflected in the constraints of the Erlang C method. For data traffic, the same Ireland number represents a different amount of data because of the different channel bandwidths. If all service data packets are treated uniformly in a wireless transmission network, the time delay of each service is distributed identically, and although the requirement of each service on the independent bandwidth cannot be realized, if a user knows and approves the current situation, an Erlang C method can be used under the condition of the expected relative time delay of the user. However, if the bandwidth requirements of users are different, the Erlang C method is not fully suitable for WCDMA cell capacity calculation. In addition, in the prior art, the data service resources are calculated by using the Erlang C method, and services with different data rates are separately calculated, so that channels cannot be fully utilized, and the relay efficiency is low.

Disclosure of Invention

The invention aims to provide a wireless resource occupation algorithm of packet service and a wireless resource occupation algorithm of a wireless communication system, thereby knowing and calculating the strength of wireless resources actually occupied by data service, exploring the potential of the existing wireless resource bearing data service and more clearly knowing the current data service volume and bandwidth requirements.

The basic principle of the invention is to equate all kinds of services to a virtual mixed service, and then analyze the wireless resource occupation of the virtual mixed service to obtain the capacity estimation result of the virtual mixed service. The method embodies the difference of the occupation intensity of different services to resources and also embodies the QoS requirement of the packet domain data service delay.

To achieve the above objects, in one aspect, the present invention provides a radio resource occupying algorithm for a packet data service, comprising the steps of:

the method comprises the following steps: selecting a service from the packet data services as a basic service;

step two: calculating the service resource intensity a of each service_i；

Step three: calculating a virtual channel c of the packet switched domain by (the meaning of the virtual channel is to be given in the corresponding places in the description, as defined);

where i represents the ith service, γ_iCall arrival rate for service i, b_iAverage call hold time, N, for service i_iThe number of users of the cell service i;

step four: based on the selected basic service, the service quantity of each service is weighted and averaged by using the service resource intensity of each service to be mixed into a virtual mixed service, and the total quantity of the virtual mixed service is calculated by the following formula;

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c

Step five: according to the obtained total amount of the virtual mixed services, the number of virtual channels meeting certain QoS requirements is obtained by an Erlang C method;

step six: converting the obtained number of virtual channels into the number of basic traffic channels by using the relative radio resource strengths as follows:

basic service channel number (virtual channel number) c + service resource intensity of basic service channel

Thereby obtaining the number of channels required to be occupied by the packet data service.

According to the above method of the present invention, in the sixth step, the service resource strength of the basic service is taken as 1, and the obtained number of basic service channels is converted into the number of voice service channels by the following formula:

wherein,

R₀which represents the bearer rate of the voice traffic,

(E_b/N_o)₀indicating E required for voice services_b/N_oI.e., the signal-to-noise ratio requirement for proper demodulation of voice traffic,

v₀which represents the activation factor of the voice service,

R_0＇indicating the bearer rate of the PS domain basic service,

(E_b/N_o)_0＇e required for representing PS Domain basic service_b/N_oI.e., the signal-to-noise ratio requirement for proper demodulation of the basic service,

v_0＇an activation factor representing a PS domain basic service;

the number of channels that the packet data service needs to occupy is represented by the number of channels for voice service.

According to the above method of the present invention, in the second step, the service resource strength of each service is characterized by the parameters of the bearing rate, the activation factor and the signal-to-noise ratio, that is:

wherein,

j represents the jth service;

R₀representing the bearer rate of the basic service;

(E_b/N_o)₀e required for representing basic service_b/N_oI.e. the signal-to-noise ratio requirement for correct demodulation of the basic service;

v₀representing an activation factor of a basic service;

a_iindicating the traffic resource strength of the traffic j with respect to the basic traffic channel,

R_jrepresenting the bearer rate of service j;

(E_b/N_o)_je required to represent service j_b/N_oI.e. the signal-to-noise ratio requirement for correct demodulation of service j;

V_irepresenting the activation factor of service j.

According to the above method of the present invention, in the second step, the service resource strength of the uplink service of the wireless communication system 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}}}

the relative resource strength of the downlink service is:

wherein:

i denotes the ith service and the ith service,

R₀representing the bearer rate of the basic service;

V₀an activation factor representing a basic service;

(E_b/N_o)_i-industryE required for business i_b/N_oI.e. the signal-to-noise ratio requirement for correct demodulation of service j;

w-chip rate;

V_i-an activation factor for service j;

R_i-bit rate of service j.

In another aspect, the present invention further provides a radio resource occupation algorithm of a wireless communication system, which includes the following steps:

the method comprises the following steps: dividing a service area of a wireless communication system into a circuit switching domain and a packet switching domain;

step two: selecting a service as a basic service for a circuit switching domain and a packet switching domain respectively;

step three: calculating the relative resource occupation intensity a of each service_i；

Step four: respectively calculating virtual channels c of a circuit switching domain and a packet switching domain by the following formula;

step five: for the circuit switching domain and the packet switching domain, respectively based on the selected basic service, using the service resource intensity of each service to make weighted average for the service volume of each service, respectively mixing each service in the circuit switching domain and the packet switching domain into a virtual mixed service, and respectively calculating the total virtual mixed service volume of the circuit switching domain and the packet switching domain by the following formula:

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c

Step six: obtaining the number of virtual channels meeting the requirement of a certain blocking rate for the virtual mixed service of the circuit switching domain by using an Erlang B method; obtaining the number of virtual channels meeting certain QoS requirements for the virtual mixed service of the packet switching domain by using an Erlang C method;

converting the virtual channel numbers of the circuit switching domain and the packet switching domain into corresponding basic service channel numbers respectively by using the service resource intensity according to the following formula:

the number of basic service channels is the virtual channel number c + the service resource intensity of the basic service channels;

step seven: and obtaining the number of channels occupied by the cell of the wireless communication system according to the obtained basic service channels of the circuit switching domain and the packet switching domain respectively.

The method according to the present invention further comprises, between the sixth step and the seventh step: converting one of the basic service channel numbers of the circuit switching domain and the packet switching domain into another basic service channel number by the following formula:

wherein,

R₀which represents the bearer rate of a basic service,

(E_b/N_o)₀e required for representing a basic service_b/N_oI.e., the signal-to-noise ratio requirement for proper demodulation of the basic service,

v₀represents the activation factor of a basic service,

R_0′which represents the bearer rate of another basic service,

(E_b/N_o)_0＇e required for representing another basic service_b/N_oI.e., the signal-to-noise ratio requirement for proper demodulation of the basic service,

v_0′an activation factor representing another basic service;

and step seven, adding the basic service channel numbers of the circuit switching domain and the packet switching domain to obtain the channel number occupied by the wireless communication system cell.

According to the above method of the present invention, in the second step, the basic service selected for the circuit switched domain is a voice service;

in the sixth step, if the service resource strength of the basic service channel is 1, the obtained virtual channel number of the circuit-switched domain is directly converted into the voice service channel number, and the obtained virtual channel number of the packet-switched domain is converted into the basic service channel number by the following formula:

the number of basic service channels is the number of virtual channels c + 1;

in said step seven, the resulting number of elementary traffic channels of the packet-switched domain is converted into the number of voice traffic channels:

wherein,

R₀which represents the bearer rate of the voice traffic,

v₀which represents the activation factor of the voice service,

R_0′indicating the bearer rate of the PS domain basic service,

(E_b/N_o)_0′e required for representing PS Domain basic service_b/N_oI.e., the signal-to-noise ratio requirement for proper demodulation of the basic service,

v_0′an activation factor representing a PS domain basic service;

and in the step eight, summing the voice service channel numbers of the circuit switching domain and the packet switching domain to obtain the channel number occupied by the cell of the wireless communication system.

According to the above method of the present invention, in the third step, the service resource strength of each service is characterized by parameters such as a bearer rate, an activation factor, a signal-to-noise ratio, and the like, and can be simply expressed as:

wherein,

i denotes a different service or services which are different,

a_iindicating the traffic resource strength of the traffic i with respect to the basic traffic channel,

R_irepresenting the bearing rate of the service i;

(E_b/N_o)_ie required for representing service i_b/N_oI.e. the signal-to-noise ratio requirement for correct demodulation of service j;

V_ian activation factor representing a service i;

R₀representing the bearer rate of the basic service;

v₀representing the activation factor of the basic service.

According to the above method of the present invention, in the second step, for the circuit switched domain and the packet switched domain, the service resource strength of each uplink service 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}}}

the service resource intensity of each downlink service is as follows:

wherein:

(E_b/N_o)_ie required for service i_b/N_oI.e. the signal-to-noise ratio requirement for correct demodulation of service j;

w-chip rate;

V_i-an activation factor for service j;

R_i-bit rate of service j.

According to the above method of the present invention, in the fifth step, in case of soft handover for the circuit switched domain, the total traffic of the cell will increase, and then the total amount of the virtual mixed traffic is calculated by the following formula:

virtual mixed traffic total (1+ SHO) (∑ N)_i·γ_i·b_i·a_i)/c

SHO is a soft handover factor, and corresponds to a proportion of traffic increase due to soft handover.

The above method according to the present invention is used in a WCDMA or CDMA system.

Compared with the traditional Erlang method, the method for estimating the wireless resource occupation by the virtual mixed service capacity is more reasonable, and particularly, the EC method is used for reflecting the characteristics of time delay and retransmission of the data service; in addition, through the analysis of the WCDMA self-interference system, the contribution of different services of the WCDMA system to the system interference is reflected to a certain extent.

It should be noted that, because of the soft handover in the CS domain of some wireless communication systems, the increase of the traffic volume of the base station (NodeB) will cause the channel resource allocation of the base station to increase, and the consideration of this factor is as follows:

considering that soft handoff will eventually reflect an increase in traffic volume, there is no difference between handling the extra traffic volume due to soft handoff and handling the traffic volume in a normal non-soft handoff state for physical resources such as channels. Since the two methods occupy the channel resource indiscriminately, in other words, the channel resource is shared by the traffic generated by soft handover and the traffic generated by non-soft handover, in the aspect of channel resource configuration, the total amount of virtual mixed services required by the CS domain resource configuration algorithm can be obtained only by multiplying the traffic predicted by the CS domain by the soft handover factor:

SHO is a soft handover factor, and can be simply understood as the proportion of the UE (user handheld device, such as a mobile phone) in the soft handover state, which is finally reflected in the increase of the traffic volume caused by the increase of the radio link of the UE in the soft handover state. Then, based on the above, the CS domain wireless resource occupation algorithm is used to calculate and obtain the Node B channel resource allocation. The method for processing soft switching traffic saves resources and is more reasonable than the method for configuring channels for soft switching independently.

Drawings

Fig. 1 shows a flow chart of the WCDMA system radio resource occupation algorithm of the present invention.

Detailed Description

For virtual hybrid services, companies have proposed a Campbell-based method. The method considers all the services together and constructs an equivalent service, and calculates the total traffic volume of the equivalent service which can be provided by the system according to the equivalent service, and then obtains the capacity calculation of the mixed service. The method finally utilizes Erlang B to calculate the corresponding channel number, and the method is used for calculating the virtual mixed service of the CS domain at home and abroad at present.

The algorithm of the invention is to carry out the accounting on the services with different rates uniformly, thereby leading the channel reuse rate of the base station to be high, overcoming the defects that the system capacity can not be fully utilized and the relay efficiency is low in the prior art, and leading the pre-calculated value of the cell capacity in the algorithm to be moderate.

In the following, before a method for calculating the channel budget of the CS domain and the PS domain of a cell by using a virtual hybrid service is given, several concepts to be used are given:

1. service resource strength

Different services in a cell occupy different wireless resources, high-speed services occupy more resources, and low-speed services occupy less resources. The Campbell method defines the service resource strength to reflect the occupation of wireless resources by different services.

Under the ideal power control state, the formula of the uplink signal-to-noise ratio is as follows:

{(E_{b} / N_{o})}_{j} = \frac{W}{v_{j} R_{j}} \frac{P_{j}}{I_{total} - P_{j}}

wherein:

(E_b/N_o)_jrepresenting the signal-to-noise ratio required for service j;

w represents the chip rate;

V_jan activation factor representing j;

R_jrepresents the bearer rate of j;

P_jrepresents the received signal power of j;

I_totalrepresenting total received power of a wideband including thermal noise at a base station

It follows from this that, as a result,

P_{j} = \frac{1}{1 + \frac{W}{{(E_{b} / N_{o})}_{j} v_{j} R_{j}}} I_{total}

it can be seen that the uplink received power of a service or the interference to other active services is related to not only the received signal-to-noise ratio, rate, and activation factor required by the service, but also the total power received by the base station at that time, including thermal noise, which results in that the uplink received power of a service increases as the total received power of the base station increases, i.e. the received power required to access the same service is different under different uplink system loads.

Although the uplink received power required by each service has a direct relationship with the load of the system, under certain load conditions, the ratio of the uplink received power required by different services is independent of the total received power, that is, the following conditions are satisfied:

\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}}} - - - (1)

thus, the relation that each service occupies the wireless resource in the uplink can be obtained.

Similarly, by analyzing the cell downlink load, the single-user downlink load factor can be obtained:

= (1 - a_{i} + i_{i}) * v_{i} * \frac{{(E_{b} / N_{o})}_{i}}{W / R_{i}}

therefore, if it is assumed that the orthogonalization factor and the interference factor of the neighboring cell are the same for all users in the cell, the relationship that each service occupies radio resources in the downlink can be summarized as follows:

from the above equations (1), (2), the service resource strength a of the service i relative to the basic service 0 can be obtained_iFor the uplink, the uplink is the set of codes,

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}}} - - - (3)

for the downlink, the mobile station is,

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}} - - - (4)

when used only for simple engineering estimation, the factors are considered

\frac{W}{{(E_{b} / N_{o})}_{i} * v_{i} * R_{i}}

When much larger than 1, the above equation (1) can be simplified as the following equation:

wherein,

i denotes a different service or services which are different,

R₀representing the bearer rate of the basic service;

V₀represents a radicalThe activation factor of the service.

From the above, the traffic resource strength a_iIs a relative quantity that represents the resource occupancy attribute for a service, which is generally characterized by factors such as the signal-to-noise ratio requirement for the service, the bearer rate for the service, and the activation factor for the service. However, whether the traffic resource strength is calculated using equations (3) and/or (4) (generally, only equation (3) is used for the CS domain, and equations (3) and (4) are used for the PS domain) or equation (5) depends on the actual conditions and accuracy requirements in the field.

2. Virtual channel

For a virtual mixed service, i.e. a mixed service composed of specific services, the channel served by the mixed service is a virtual channel, which is the essence of the virtual channel in the radio resource occupation algorithm of the virtual mixed service.

The virtual channel is a concept that must have quantitative channel properties for virtual mixed service. The Campbell theory gives an accounting formula of the virtual channel, which is as follows:

wherein,

c denotes a virtual channel which is a virtual channel,

i denotes a different service or services which are different,

γ_iindicating the call arrival rate of service i,

a_irepresents the traffic resource strength of the relatively basic traffic of the traffic i,

b_irepresents the average call hold time for service i,

N_iindicating the number of users of the cell service i,

in which the call arrival rate gamma_iAnd average call hold time b_iIndicating the call strength attribute of cell service i. The value of the virtual channel is quantitatively expressed as the number of basic traffic channels according to the definition of the parameter c.

3. Virtual mixed traffic volume

The virtual mixed service of the CS domain of the cell can be completely expressed by a virtual channel c and the total amount of the virtual mixed service. The total amount of the virtual mixed service is as follows:

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c (7)

4. Number of virtual channels

According to the definition of the virtual channel, the number of virtual channels provided by the cell can be expressed as:

(8)

method for occupying radio resource of (first) cell CS domain

The channel budget method of the CS domain of the cell described by the service resource strength, the total amount of the virtual mixed service, and the virtual channel is given below.

1) Firstly, selecting voice service as basic service of cell CS domain, calculating service resource intensity a of other services in cell CS domain relative to voice service_i. Wherein whether to use formula (3) or formula (4) is determined based on actual conditions and accuracy requirements at the site, generally, formula (3) is used when only simplified estimation is performed, and formula (4) is used when accuracy is required.

2) Utilizing traffic resource intensity a_iAnd the traffic volume (N) of each service in the cell_iAnd b_i、γ_iThe product of the three is the traffic of the service i) calculates the virtual channel of the virtual mixed service:

3) calculating the total virtual mixed service amount of the cell according to the following formula:

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c

The capacity of physical resources such as channels is fixed, when soft handoff occurs, the capacity is equivalent to the number of users increasing the channel resources, and the physical channels do not have any difference in processing of extra traffic caused by soft handoff and traffic caused by normal non-soft handoff. And the traffic volume of the soft handover and the traffic volume of the non-soft handover occupy the channel resource without distinction, namely the channel resource is shared by the soft handover and the non-soft handover. For this reason, considering that a soft handover will eventually be reflected in an increase in traffic, a soft handover factor SHO is multiplied on the basis of the above equation, thus

Virtual mixed traffic total (1+ SHO) (∑ N)_i·γ_i·b_i·a_i)/c。

SHO is a soft handover factor, and can be simply understood as the proportion of UEs in soft handover state, which is finally reflected in the increase of traffic volume caused by the increase of wireless connections of mobile terminals in soft handover state.

4) And calculating the number of virtual channels required to be provided by the cell under the condition of meeting the requirement of 2% of blocking probability by using an Erlang B method according to the obtained total amount of the virtual mixed services.

5) When the resource occupation intensity of the voice service is 1, calculating the number of voice service channels required by the CS domain cell according to the obtained virtual channel number:

the number of voice traffic channels is the number of virtual channels c + 1.

(II) cell PS domain wireless resource occupation algorithm

It is generally accepted that the arrival of sessions in packet traffic conforms to a poisson distribution. And supposing that the transmission bandwidth of the wired part of the WCDMA system is far larger than that of the wireless part, the system bandwidth is equal to the wireless channel bandwidth, the limitation of the WCDMA mobile terminal equipment on the channel using capability is not considered, and the limitation of the RLC/MAC address on the access capability is not considered, the WCDMA system is considered to be in accordance with a Markov queuing model, so that the wireless resource occupation condition can be analyzed by using an Erlang method.

Since the Erlang C method has limitations when calculating radio resources, in order to more reasonably express the intensity of occupation of resources by data services at different rates and characterize the delay characteristics of the data services, a virtual mixed service of data services at multiple rates in the PS domain is first calculated, and then the Erlang C is used to calculate the occupation of radio resources in the PS domain, which is specifically as follows:

1) selecting a service as the basic service of the PS domain, and calculating the service resource intensity a of other services in the PS domain relative to the basic service_i. In this case, whether the above equations (3) and (4) or (5) are used is determined according to the actual conditions and accuracy requirements of the site. In general, when only simplified estimation is performed, the above formula (5) is used, and when high accuracy is required, the above formulas (3) and (4) are used.

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c；

4) Calculating the number of virtual channels required to be provided by the cell under the QoS requirement by using an Erlang C method according to the obtained total amount of the virtual mixed services;

5) calculating the number of basic service channels required by the PS domain cell according to the obtained number of virtual channels:

the number of basic service channels is the number of virtual channels c + 1;

here, the service resource strength of the basic service takes a value of 1.

The resource strength of the PS domain selected basic service relative to the voice service is then used to convert the number of basic service channels to the number of voice service channels.

The calculation of the number of PS domain virtual channels can be basically calculated according to the CS domain radio resource occupation method described herein, but the difference lies in the selection of the basic service and the selection of the Erlang method, and in addition, the soft handover factor existing in some wireless communication systems does not need to be considered. Selecting a certain data service of the PS domain as a basic service, and calculating the total amount of the virtual mixed services of the PS domain; then, on the premise of meeting a certain constraint condition of waiting call loss, the number of virtual channels of the cell can be obtained by looking up the Erlang C table, and further the number of basic service channels required by the PS domain can be obtained. Of course, the number of basic service channels obtained by the PS domain can be finally converted into the number of voice service channels by multiplying the former by the service resource strength between the PS domain basic service channels and the voice channels, thereby obtaining the number of equivalent voice service channels required by the PS domain.

(III) radio resource occupation algorithm of wireless communication system comprising CS domain and PS domain

For a wireless communication system, it may include multiple services, such as both the CS domain and the PS domain. For this, the service area of the wireless communication system may be divided into the CS domain and the PS domain, and then the channel capacity requirement may be calculated for the CS domain and the PS domain by using the virtual hybrid service estimation method according to the analysis of the radio resources occupied by the mobile services of the CS domain and the PS domain introduced in the above (a) and (b). Finally, the number of the equivalent voice service channels obtained by the CS domain and the PS domain is added to obtain the total channel configuration required by the base station.

The following is a detailed description of a cell of a WCDMA system. The estimation method of the wireless resource occupied by the WCDMA system comprises the following steps:

step two: selecting voice service as basic service of circuit switching domain, and selecting one service as basic service in packet switching domain;

step five: for the circuit switching domain and the packet switching domain, respectively, based on the selected basic service, the service resource intensity a of each service is utilized_iWeighted average is carried out on the service volume of each service, each service in the circuit switching domain and the packet switching domain is mixed into a virtual mixed service, and the total amount of the virtual mixed service in the circuit switching domain and the packet switching domain is calculated by the following formula:

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c

Step six: obtaining the number of virtual channels meeting the requirement of a certain blocking rate for the virtual mixed service of the circuit switching domain by using an Erlang B method; the number of virtual channels meeting certain QoS requirements is obtained for the virtual mixed service of the packet switching domain by using an Erlang C method,

utilizing traffic resource intensity a_iConverting the virtual channel numbers of the circuit switching domain and the packet switching domain into corresponding basic service channel numbers according to the following formula:

the number of basic service channels is the number of virtual channels c + 1;

here, the service resource strength of the basic service takes a value of 1;

step seven: converting the obtained basic service channel number of the packet switching domain into a voice service channel number by using the service resource intensity;

step eight: summing the final voice service channel numbers obtained in the circuit switching domain and the packet switching domain to obtain the channel number occupied by the WCDMA system cell.

Claims

1. A radio resource occupation algorithm for packet data services, comprising the steps of:

step two: calculating the service resource intensity a of each service_i；

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c

2. The algorithm of occupying radio resources for packet data services according to claim 1, wherein in the sixth step, the service resource strength of the basic service is set to 1, and the obtained number of basic service channels is converted into the number of voice service channels by the following formula:

wherein,

R₀which represents the bearer rate of the voice traffic,

v₀which represents the activation factor of the voice service,

R_0′indicating the bearer rate of the PS domain basic service,

v_0′an activation factor representing a PS domain basic service;

3. The packet data service radio resource occupation algorithm according to claim 1, wherein in the second step, the service resource strength of each service is characterized by the bearer rate, the activation factor, and the snr parameter, that is:

wherein,

j represents the jth service;

R₀representing the bearer rate of the basic service;

v₀an activation factor representing a basic service;

R_jrepresenting the bearer rate of service j;

v_jrepresenting the activation factor of service j.

4. The radio resource occupying algorithm of claim 1,

in the second step, the service resource strength of the uplink service of the wireless communication system 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}}}

the relative resource strength of the downlink service is:

wherein:

i denotes the ith service and the ith service,

R₀representing the bearer rate of the basic service;

v₀an activation factor representing a basic service;

w-chip rate;

v_i-an activation factor for service j;

R_i-bit rate of service j.

5. A radio resource occupation algorithm for a wireless communication system, comprising the steps of:

step three: meterCalculating the relative resource occupation intensity a of each service_i；

virtual mixed traffic total (∑ N)_i·γ_i·b_i·a_i)/c

6. The radio resource occupying algorithm in the radio communication system according to claim 5, further comprising a step between the sixth step and the seventh step of: converting one of the basic service channel numbers of the circuit switching domain and the packet switching domain into another basic service channel number by the following formula:

wherein,

R₀which represents the bearer rate of a basic service,

v₀represents the activation factor of a basic service,

R_0′which represents the bearer rate of another basic service,

(E_b/N_o)_0′e required for representing another basic service_b/N_oI.e., the signal-to-noise ratio requirement for proper demodulation of the basic service,

v_0′an activation factor representing another basic service;

7. The radio resource occupying algorithm in the radio communication system according to claim 6,

in the second step, the basic service selected for the circuit switching domain is a voice service;

the number of basic service channels is the number of virtual channels c + 1;

wherein,

R₀which represents the bearer rate of the voice traffic,

v₀which represents the activation factor of the voice service,

R_0′indicating the bearer rate of the PS domain basic service,

v_0′an activation factor representing a PS domain basic service;

8. The algorithm of claim 5, wherein in the third step, the service resource strength of each service is characterized by parameters such as bearer rate, activation factor, signal-to-noise ratio, and can be simply expressed as:

wherein,

i denotes a different service or services which are different,

R_irepresenting the bearing rate of the service i;

v_ian activation factor representing a service i;

R₀representing the bearer rate of the basic service;

v₀representing the activation factor of the basic service.

9. The radio resource occupying algorithm of the radio communication system according to claim 5,

in the second step, for the circuit switched domain and the packet switched domain, the service resource strength of each uplink service 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}}}

the service resource intensity of each downlink service is as follows:

wherein:

w-chip rate;

v_i-an activation factor for service j;

R_i-bit rate of service j.

10. The radio resource occupation algorithm in a wireless communication system according to any of claims 5-9, wherein in said step five, the total traffic of the cell is increased in case of soft handover in the circuit switched domain, and the total amount of virtual mixed traffic is calculated by the following formula:

virtual mixed traffic total (1+ SHO) (∑ N)_i·γ_i·b_i·a_i)/c

11. The radio resource occupying algorithm in a wireless communication system according to one of claims 5 to 9, wherein the algorithm is used in a WCDMA or CDMA system.

12. The wireless resource occupation algorithm in wireless communication system according to claim 10, wherein the algorithm is used in WCDMA or CDMA system.