Method, device and system for predicting forward reachable rate of cellular cell
Technical Field
The present invention relates to coverage planning of a wireless communication network, and more particularly, to a method for predicting cell edge and inner forward reachable rate of a cdma2000 1xEV-DO system (hereinafter, referred to as EVDO system), which can be also applied to other wireless communication systems with fixed forward transmission power.
Background
In a cellular wireless communication network, the geographic distribution of the forward service rate of an embedded cell is related to the distance from the local base station and the distribution of neighboring cells, as shown in fig. 1, the forward service rate of the embedded cell can be divided into a cell rate at a as a cell edge rate, and a cell rate at B, C as a cell internal rate, wherein the cell internal rates are further divided into a plurality of types, and generally, the closer to the local base station, the higher the achievable rate. The estimation of the achievable rate at the cell edge is typically achieved by a link budget. The industry has a relatively mature EVDO (Data transmission optimized) reverse link budget in an island or cellular environment and an EVDO forward link budget in an island environment, but lacks an effective, relatively mature forward link budget in a cellular environment. In the publications and references that are currently available, the following problems are common, although discussed:
1. the relationship between the interference of the adjacent cell and the signal-to-noise ratio required by the forward speed cannot be fully and correctly considered, and the reason that the higher forward speed cannot be realized at the edge of the cell cannot be pointed out;
2. the difference between the link budget at the cell edge and the link budget within the cell cannot be clearly distinguished, and the two are often mixed.
Therefore, it can be seen that the budget result of the publication does not correctly reflect the actual situation, and the difference from the actual network test result is large, so that a correct and effective method for guiding the commercial network planning and construction is urgently needed.
The forward speed geographic prediction is closely related to the basic technical characteristics of an EVDO forward link, and the characteristics are mainly shown as follows:
1. forward full power transmission, wherein the transmission power is fixed;
2. time division multiplexing among users, and determining the target of time slot service by a base station scheduling algorithm, thereby generating multi-user diversity gain;
3. the forward switching between the cells is virtual soft switching, only one cell sends forward service data to the user, and the forward service data is not soft switching, namely the gain of the virtual soft switching is smaller than that of the soft switching;
4. the user terminal is divided into a single-antenna terminal and a double-antenna terminal, and the requirement of the double-antenna terminal on a demodulation threshold is lower than that of the single-antenna terminal, so that diversity reception gain is generated;
the above are differences between the EVDO system and the conventional cdma2000 1x system, and it is determined that the forward link budgets of the two systems are different.
One major difficulty in forward link prediction in a cellular environment is the interference of the signal power of neighboring cells to the signal power of the cell. In a cellular environment, the interference of neighboring cells at the edge of an embedded cell is very strong and is often greater than the signal power of the cell. However, as known from practical tests and the 3GPP2 minimum standard, the DO forward medium and high rates have high requirements on the received signal-to-noise ratio (also called demodulation threshold) of the terminal, for example, in a wireless fading channel environment, the frequency spectrum density signal-to-noise ratio required by the 1.8Mbps rate can reach more than 20 dB. Thus, at the edge of an embedded cell, higher forward traffic rates cannot be achieved, and only lower rates can be achieved, i.e., at the edge of the cell, only the link budget for lower traffic rates is significant.
As a technical difficulty, the case expansion of the embedded cell neighbor cell interference is introduced as follows. When the cells are covered, the omnidirectional cells are approximately equivalent to regular hexagons, see fig. 2, and it is assumed that there are only two layers of cells at the periphery of the cell, and the radius from the center of the cell to the vertex of the regular hexagon is R
c The radius from the center to the side of the regular hexagon is R, then
If the terminal is located at the black dot, the forward interference situation of the neighboring cell to the terminal is shown in fig. 2. In this case, the calculation of the interference strength of the neighboring cell is complex, and strictly speaking, the interference of all surrounding cells to the terminal needs to be considered, but the effect of the two circles of cells closest to the cell is dominant, and the interference of the farther cell can be ignored due to large path loss and relatively small interference power. Defining the ratio of the adjacent cell interference to the signal power of the cell as beta, and the adjacent cell interference is related to the position characteristic R (distance from the base station) and theta (included angle with the appointed direction of the base station) of the terminal in the cell, for example, when R =0.8R
c When the path loss exponent γ =4, β will be [ -1.7dB, -0.9dB when θ changes]The interval fluctuates, and the amplitude of the change of beta along with theta is not large; as r approaches the cell edge, β increases rapidly, and as r shrinks inward into the cell, β decreases rapidly.
For general observation, fig. 3 shows the relative position of the terminal within the cell (at normalized distance R/R) at different path loss indices γ c Indication), the peak value of β varies, which corresponds to taking into account the fact that β is higher when θ varies, so θ will not be mentioned later. Taking R =0.9R due to the characteristics of a regular hexagon c As the radius of the cell is appropriate, according to the discussion of fig. 3 and other references, the cell edge is generally defined as R =0.9R when the path loss exponent γ =3.5 or 4 c Beta at the cell edge ≈ 2.5dB.
In addition, an important parameter of the EVDO forward link budget, "virtual soft handover gain", is a gain generated by the terminal in a handover area by autonomously selecting a neighboring optimal cell for its service, and is also closely related to the geographical distribution in the cell, and when the terminal is located at the edge of the cell, the gain is the maximum, which is about 2.2dB, and when the terminal moves to the inside of the cell, the gain is rapidly reduced to approach 0. Currently, the theoretical achievement of accurate "virtual soft handover gain" corresponding to the relative location within a cell is not seen for a while.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a method, an apparatus, and a system for predicting a forward reachable rate of a cell, so as to solve the problem that a difference between a cell edge and a cell internal link budget cannot be distinguished in a forward link budget in an existing cellular environment, and provide a basis for coverage planning and coverage simulation of an EVDO wireless cellular network.
To achieve the above object, the present invention provides a method for predicting a forward reachable rate of a cell, including: dividing a cellular cell into a cell interior and an edge, pre-calculating a cell edge forward reachable rate according to an interference factor of the adjacent cell and a design target factor related to a signal-to-noise ratio, and further predicting the cell interior forward reachable rate according to the cell edge forward reachable rate.
The method for predicting forward reachable rate of a cell, further comprising:
step 21, setting a comprehensive signal-to-noise ratio value according to the requirements of a plurality of design target factors related to the signal-to-noise ratio, calculating the comprehensive signal-to-noise ratio value required by the edge forward rate of various honeycomb cells, and confirming the forward reachable rate of the edge of the honeycomb cell according to the relation between the comprehensive signal-to-noise ratio value and the interference factor of the adjacent cell;
step 22, setting the cell edge rate according to the cell edge forward reachable rate, obtaining the interference factor and the virtual soft handover gain of the neighboring cell according to the normalized distance of the specified position in the cell, performing link budget of the cell, obtaining the coverage radius of various forward rates, converting the normalized distance corresponding to the coverage radius, and selecting the highest rate from the rates not less than the originally set normalized distance as the forward reachable rate of the specified position in the cell.
The method for predicting forward reachable rate of a cell, wherein the integrated snr value dB = default demodulation threshold for single antenna dB + fade margin dB -virtual soft handover gain dB -receive diversity gain dB And/or multiuser diversity gain dB Wherein, the receiving diversity gain and the multi-user diversity gain are selectable items.
In the method for predicting the forward reachable rate of the cell, the interference factor of the neighboring cell = interference power of the neighboring cell/power of the received cell.
The method for predicting forward reachable rate of a cell, wherein the step 21 further includes: judging whether the comprehensive signal-to-noise ratio value required by the cell edge forward rate and the adjacent cell interference factor meet the following relation:
receiving the power of the cell/(the interference factor of the adjacent cell multiplied by the power of the cell plus the thermal noise) which is more than or equal to the comprehensive signal-to-noise ratio; or
Integrated signal to noise ratio value (dB) Non-adjacent area interference factor (dB) ;
If yes, the rate is the forward reachable rate of the cell edge.
The method for predicting a forward reachable rate of a cell, wherein the step 22 further includes:
step 61, according to the forward reachable rate of the cell edge, selecting one, performing link budget of the cell, and determining the radius of the cell;
step 62, setting the relative position of the terminal in the honeycomb cell, expressing the relative position by using the normalized distance, and setting the communication probability;
step 63, searching the corresponding relation between the adjacent cell interference factor and the normalized distance according to the normalized distance and the path propagation loss index to obtain the corresponding adjacent cell interference factor, and searching the corresponding relation between the virtual soft handover gain and the normalized distance table to obtain the corresponding virtual soft handover gain;
and step 64, performing link budget inside the cell according to the adjacent cell interference factor and the virtual soft handover gain to obtain coverage radii of various forward speeds.
And step 65, converting the normalized distance corresponding to the coverage radius of each forward speed, and selecting the highest speed from the speeds not less than the originally set normalized distance as the forward reachable speed of the designated position in the cell.
In order to achieve the above object, the present invention further provides a device for predicting a forward reachable rate of a cell, which is applicable to a wireless communication system with fixed forward transmission power, and comprises:
a cell edge reachable rate prediction module, configured to set a comprehensive signal-to-noise ratio according to the requirements of multiple design target factors related to the signal-to-noise ratio, calculate a comprehensive signal-to-noise ratio required by various cell edge forward rates, and determine the cell edge forward reachable rate according to the relationship between the comprehensive signal-to-noise ratio and an interference factor of a neighboring cell;
and the intra-cell reachable rate prediction module is used for setting the rate of the edge of the cell according to the forward reachable rate of the edge of the cell, acquiring interference factors and virtual soft handover gains of adjacent cells according to the normalized distance of the specified position in the cell, performing link budget of the cell, acquiring the coverage radius of various forward rates, converting the normalized distance corresponding to the coverage radius, and selecting the highest rate from the rates not less than the originally set normalized distance to serve as the forward reachable rate of the specified position in the cell.
The aforementioned apparatus for predicting a forward reachable rate of a cell, wherein the module for predicting an intra-cell reachable rate further comprises:
a radius determining module, configured to perform link budget for the cell according to the cell edge forward reachable rate, and determine a cell radius;
a terminal position determining module for setting the relative position of the terminal in the cell and using the normalized distance to the distance R between the terminal and the base station/the diagonal radius R of the cell c "represents the relative position and sets a communication probability;
a parameter determining module, configured to search for a corresponding relationship between an interference factor of an adjacent cell and the normalized distance according to the normalized distance and the path propagation loss index, to obtain a corresponding interference factor of the adjacent cell, and search for a corresponding relationship between a virtual soft handover gain and a normalized distance table, to obtain a corresponding virtual soft handover gain;
a coverage radius determining module, configured to perform link budget of the cell according to the neighboring cell interference factor and the virtual soft handover gain, so as to obtain coverage radii of various forward rates; and
and the speed determining module is used for converting the normalized distance corresponding to the coverage radius of each speed, and taking the highest speed in the speeds corresponding to the coverage radii not smaller than the preset normalized distance as the forward reachable speed of the appointed position in the cell.
The aforementioned apparatus for predicting a forward reachable rate of a cell, wherein the wireless communication system further comprises: CDMA2000 1XEV-DO system.
To achieve the above object, the present invention further provides a system for predicting forward reachable rate of a cell according to any of claims 1 to 6, which is disposed in a base station and used for predicting forward reachable rate of a mobile terminal in the cell, and the system comprises:
a cell edge reachable rate prediction module, configured to set a comprehensive signal-to-noise ratio according to the requirements of multiple design target factors related to signal-to-noise ratio, calculate a comprehensive signal-to-noise ratio required by various cell edge forward rates, and determine a cell edge forward reachable rate according to a relationship between the comprehensive signal-to-noise ratio and an interference factor of a neighboring cell;
and the intra-cell reachable rate prediction module is used for setting the edge rate of the cell according to the cell edge forward reachable rate, acquiring the interference factors and the virtual soft handover gains of the adjacent cells according to the normalized distance of the specified position in the cell, performing link budget of the cell to obtain the coverage radius of various forward rates, converting the normalized distance corresponding to the coverage radius, and selecting the highest rate from the rates not less than the originally set normalized distance to be used as the forward reachable rate of the specified position in the cell.
The method, the device and the system for predicting the forward reachable rate of the cell can predict from the edge of the cell to the inside, embody the basic characteristics of a forward link and a cellular network of an EVDO system, and are closer to reality. The invention provides a foundation for EVDO forward coverage planning, and can also be directly applied to the realization of network coverage simulation.
Drawings
Fig. 1 is a schematic diagram of cell edge and inner reachable rates;
fig. 2 is a schematic diagram of adjacent cell interference in a cellular environment;
FIG. 3 is a graph of interference factor peak values of neighboring cells of a cell versus normalized distance of the cell;
FIG. 4 is a schematic structural diagram of a testing apparatus according to the present invention;
fig. 5 is a schematic structural diagram of a cell reachable rate prediction module according to the present invention.
Detailed Description
As shown in fig. 4, the present invention provides a device 100 for testing forward reachable rate of a cell, which is suitable for a cdma2000 1xEV-DO system (hereinafter referred to as EVDO system), and comprises: a cell edge forward reachable rate prediction module 110 and an intra-cell forward reachable rate prediction module 120. The cell edge forward reachable rate module 110 is configured to set a comprehensive signal-to-noise ratio Y according to requirements of a plurality of design target factors related to a signal-to-noise ratio, calculate a comprehensive signal-to-noise ratio Y required by various cell edge forward rates, and determine a cell edge forward reachable rate according to a relationship between the comprehensive signal-to-noise ratio Y and a neighboring cell interference factor β; the intra-cell forward reachable rate prediction module 120 is configured to obtain an interference factor and a virtual soft handover gain of an adjacent cell according to the cell edge forward reachable rate, perform link budget of the cell, obtain coverage radii of various intra-cell forward rates, convert a normalization distance corresponding to the coverage radii, and select a highest rate from among the rates not less than the originally set normalization distance as the intra-cell forward reachable rate.
As shown in fig. 5, the intra-cell forward reachable rate prediction module 120 further includes: radius determination module 121, terminal position determination module 122, parameter determination module 123, coverage radius determination module 124, and rate determination module 125. The radius determining module 121 is configured to perform link budget of the cell according to the forward achievable rate of the cell edge, and determine a radius of the cell; the terminal location determining module 122 is used for setting the relative location of the terminal in the cell, and using the normalized distance "and the base station distance R/cell diagonal radius R c "indicates the relative position and sets the communication probability; for the parameter determination module 123Searching the corresponding relation between the adjacent cell interference factor and the normalized distance according to the normalized distance and the path propagation loss index to obtain the corresponding adjacent cell interference factor, and searching the corresponding relation between the virtual soft switching gain and the normalized distance table to obtain the corresponding virtual soft switching gain; the coverage radius determining module 124 is configured to perform link budget of the cell according to the adjacent cell interference factor and the virtual soft handover gain, so as to obtain coverage radii of forward rates in various cells; and the rate determining module 125 is configured to convert the normalized distance corresponding to the coverage radius of each rate, and use the highest rate of the rates corresponding to the coverage radii not smaller than the preset normalized distance as the forward reachable rate in the cell.
The prediction device 100 of the forward reachable rate of the cell can be used to construct a prediction system, and the prediction device 100 is arranged in a base station to form a set of prediction system with each mobile terminal in the cell, so as to provide a basis for coverage planning and coverage simulation of the EVDO wireless cellular network.
The invention also provides a method for predicting the forward reachable rate of the cellular cell, which is divided into two parts:
the first part is predicting the forward reachable rate of the cell edge, which includes:
the signal-to-noise ratio of the cell edge must meet the planning and design target, and the requirements of target communication probability and various gains and margins of the specified environment must be met, that is, the following requirements are met:
[ receiving own cell power/(adjacent cell interference power + thermal noise)] dB Default demodulation threshold for more than or equal to single antenna dB + fade margin dB -virtual soft handover gain dB -receive diversity gain dB -multi-user gain dB =Y ①
Wherein, Y is an intermediate transition variable, which embodies the total requirements of various gains/margins caused by terminal demodulation threshold and design index, and is referred to as the comprehensive signal-to-noise ratio for short. Wherein receive diversity gain and multi-user gain are selectable. Because there is a relation of β times (interference factor of neighboring cell) between the interference power of neighboring cell and the power of the cell at the edge of the cell, equation (1) can be written as:
can be converted into
(1-Yxbeta) x reception local cell power ≧ Yxthermal noise (4)
To ensure that the above equation is of practical significance, the left side must be positive, so that the following equation holds
If dB is taken as a unit, the method is expressed as the following expression (2):
integrated signal to noise ratio value (dB) Non-adjacent area interference factor (dB) ②
Under cellular conditions, the cell edge must satisfy equation (5) or equation (2), and the corresponding forward rate and communication probability targets can be achieved.
The following is a table of forward link budget for a certain frequency band. Suppose that: at the edge of the cell, the interference factor beta of the adjacent cell is 2.5dB; the virtual soft handover gain is 2.2dB; the demodulation threshold required by a certain wireless fading channel type, a single antenna terminal and meeting the 2% packet error rate is shown as a parameter S in a table 1; meanwhile, if the basic wireless information, the environmental index and the wireless design index of the base station, such as the transmitting power, the antenna gain and the like of the base station, are known, the reachable service rate of the cell edge can be predicted through a forward link budget table.
Table 1 cellular environment forward link budget example of embedded cell edge (single antenna terminal)
A
|
Traffic rate
(kbps)
|
38.4
|
76.8
|
153.6
|
Parameter relationships
|
E
|
Base station transmit power
(Watt)
|
20
|
20
|
20
|
|
F
|
Base station transmit power
(dBm)
|
43.01
|
43.01
|
43.01
|
10lg(E*1000)
|
G
|
Base station antenna gain
(dBi)
|
15.7
|
15.7
|
15.7
|
|
H
|
Base station jumper loss
(dB)
|
0.4
|
0.4
|
0.4
|
|
I
|
Loss of base station feeder cable
(dB/100m)
|
4
|
4
|
4
|
|
J
|
Base station feeder cable length
(m)
|
40
|
40
|
40
|
|
K
|
Other loss estimation
(dB)
|
1
|
1
|
1
|
|
L
|
Base station feeder loss
(dB)
|
3
|
3
|
3
|
H+K+(I/100)J
|
M
|
Base station
EIRP(dBm)
|
55.71
|
55.71
|
55.71
|
F+G-L
|
N
|
Terminal receiving antenna
Gain (dBi)
|
0
|
0
|
0
|
|
O
|
Human body loss (dB)
|
0
|
0
|
0
|
|
P
|
Thermal noise spectral density
(dBm/Hz)
|
-174
|
-174
|
-174
|
|
Q
|
Noise figure (dB)
|
9
|
9
|
9
|
|
β
|
Neighbor cell interference factor
(dB)
|
2.5
|
2.5
|
2.5
|
|
R
|
Target packet error rate
(%)
|
2
|
2
|
2
|
|
S
|
Per antenna requirement
Demodulation threshold Ior/No
(dB)
|
-7
|
-5
|
-1
|
|
T
|
Multiple usersDiversity gain
Yi (dB)
|
2
|
2
|
2
|
|
U
|
Receive diversity gain
(dB)
|
0
|
0
|
0
|
|
W
|
Normal fading standard
Difference (dB)
|
8
|
8
|
8
|
|
X
|
Probability of edge communication
( * 100%)
|
0.75
|
0.75
|
0.75
|
|
B
|
Normal fading margin
(dB)
|
5.40
|
5.40
|
5.40
|
NormINV(X
,0,W)
|
Z
|
Virtual soft handoff enhancements
Yi (dB)
|
2.2
|
2.2
|
2.2
|
|
Y
|
Signal to noise ratio synthesis requirement
Ask (dB)
|
-5.80
|
-3.80
|
0.20
|
S+B-T-U-Z
|
V
|
Terminal minimum reception
Power (dBm)
|
-107.17
|
-102.05
|
Nullification
|
P+Q+10lg(1.
2288M)
-10lg[10^(-Y
/10)-10^(-
β/10)]
|
D
|
Maximum allowed path
Loss (dB)
|
162.88
|
157.76
|
Invalidation
|
M-V+N-O
|
In Table 1, the Y values for the three rates of 38.4k, 76.8k and 153.6kbps are listed as-5.8 dB, -3.8dB and 0.2dB, respectively, with only the Y values for 38.4k, 76.8kbps being less than- β (i.e., -2.5 dB). Therefore, when the communication probability is 75%, the achievable rate of the cell edge forward direction is only 38.4k or 76.8kbps, and the higher rate cannot be obtained, so that the higher rate than 153.6kbps is not listed in table 1. The rate that cannot be met is represented in table 1 as "terminal minimum received power" invalid, resulting in the "maximum allowed path loss" parameter also being invalid.
When the terminal is a dual-antenna terminal, the terminal has the advantage of diversity gain, and the forward reachable rate can be increased by one step compared with a single-antenna terminal.
The second part is predicting the intra-cell forward reachable rate, where the situation is different from either an islanded sector or a cell edge when the terminal is inside the cell. In this case, two important parameter values of the forward link budget, namely the neighbor cell interference strength and the virtual soft handover gain, depend on the relative geographic location of the terminal in the cell, i.e. the normalized distance from the base station, and the normalized distance is different, the two parameter values are different, and the variation range may be large. Wherein, specifically include:
step 1, according to the method described in the first part, a forward rate that needs to be achieved at the cell edge, i.e., a cell edge forward reachable rate, is determined, and the radius determination module 121 performs link budget of the cell according to the cell edge forward reachable rate, and determines the radius of the cell.
Assuming that the cell edge only needs to achieve 38.4kbps, the coverage radius budget continues according to the results of table 1, and assuming that the propagation model adopts the common Hata model in the general urban environment, the results are shown in table 2.
Table 2 coverage radius budget example
|
Traffic rate
(kbps)
|
38.4
|
76.8
|
Parameter relationships
|
D
|
Maximum allowed path
Loss (dB)
|
162.88
|
157.76
|
|
b
|
Penetration damage of buildings
Consumption (dB)
|
20
|
20
|
|
c
|
Maximum loss of downlink
(dB)
|
142.
88
|
137.
76
|
D-b
|
d
|
Base station antenna height
(m)
|
40.00
|
40.00
|
|
e
|
Terminal antenna height
(m)
|
1.50
|
1.50
|
|
f
|
Center frequency
(MHz)
|
870.00
|
870.00
|
|
g
|
HATA model ground
|
0
|
0
|
|
|
Shape correction (dB)
|
|
|
|
h
|
1km loss (dB)
|
124.31
|
124.31
|
69.55+26.16*lg(f)
-13.82*lg(d)-
(3.2*POWER((lg(
11.75*e)),2)-4.97)+g
|
i
|
Slope of
|
34.41
|
34.41
|
44.9-6.55*lg(d)
|
j
|
Radius of coverage (km)
|
3.47
|
2.46
|
POWER(10,((c-h)
/i))
|
Coverage radius of 38.4kbps R =3.47km, diagonal radius R if per regular hexagonal standard topology c As cell radius, = R/0.9= 3.86km.
Step 2, the terminal position determining module 122 sets the relative position of the terminal in the cell to normalize the distance "from the base station R/cell diagonal radius R c "means; the communication probability is set.
Assuming a normalized distance R/R for the predicted intra-cell location c The achievable rate at =0.6, let the communication probability =75%.
And 3, the parameter determination module 123 checks the adjacent cell interference factor vs normalized distance graph to obtain the corresponding adjacent cell interference factor according to the normalized distance and the path propagation loss index, and checks the virtual soft handover gain vs normalized distance table to obtain the corresponding virtual soft handover gain.
According to the normalized distance =0.6, the path propagation loss index of the ordinary Hata model is approximately equal to 3.5, and the peak value of the interference factor of the adjacent region is approximately equal to-6 dB by looking up the graph 3. Assuming that the relationship between the virtual soft handover gain and the normalized distance is shown in table 3, the virtual soft handover gain is obtained to be 0dB. It should be noted that the virtual soft handover gains corresponding to the normalized distance not greater than 0.8 in table 3 are assumed values, and the accurate values still need to seek the authoritative research results.
Table 3 example of virtual soft handoff gain versus normalized distance
Normalized distance
(r/R c )
|
Virtual soft handoff
Gain (dB)
|
0.9
|
2.2
|
0.8
|
1.2
|
0.7
|
0.5
|
≤0.6
|
0
|
And 4, the coverage radius determining module 124 performs link budget of the cell by using the parameters to obtain the coverage radius of each rate.
As a result, referring to Table 4, only three rates of 38.4k, 76.8k, and 153.6kbps are possible candidates, which are still not achievable due to the higher demodulation threshold required for the 307.2kbps rate. The radius of coverage predictions for the three candidate rates are shown in the bottom row of table 4.
Table 4 forward link budget example inside embedded cell of cellular environment (single antenna terminal)
A
|
Traffic rate
(kbps)
|
38.4
|
76.8
|
153.6
|
307.2
|
E
|
Base station transmit power
(Watt)
|
20
|
20
|
20
|
20
|
F
|
Base station transmit power
(dBm)
|
43.01
|
43.01
|
43.01
|
43.01
|
G
|
Base station antenna gain
(dBi)
|
15.7
|
15.7
|
15.7
|
15.7
|
H
|
Base station jumper loss
(dB)
|
0.4
|
0.4
|
0.4
|
0.4
|
I
|
Base station feeder cable loss
(dB/100m)
|
4
|
4
|
4
|
4
|
J
|
Base station feeder cable length
(m)
|
40
|
40
|
40
|
40
|
K
|
Other loss estimation
(dB)
|
1
|
1
|
1
|
1
|
L
|
Base station feeder loss
(dB)
|
3
|
3
|
3
|
3
|
M
|
Base station
EIRP(dBm)
|
55.71
|
55.71
|
55.71
|
55.71
|
N
|
Terminal receiving antenna
Gain (dBi)
|
0
|
0
|
0
|
0
|
O
|
Human body loss (dB)
|
0
|
0
|
0
|
0
|
P
|
Thermal noise spectral density
(dBm/Hz)
|
-174
|
-174
|
-174
|
-174
|
Q
|
Noise figure (dB)
|
9
|
9
|
9
|
9
|
β
|
Neighbor interference factor
(dB)
|
-6
|
-6
|
-6
|
-6
|
R
|
Target packet error rate
|
2
|
2
|
2
|
2
|
|
(%)
|
|
|
|
|
S
|
Per antenna requirement
Ior/No (dB)
|
-7
|
-5
|
-l
|
3
|
T
|
Multi-user diversity gain
Yi (dB)
|
2
|
2
|
2
|
2
|
U
|
Receive diversity gain
(dB)
|
O
|
O
|
O
|
O
|
W
|
Normal fading standard
Difference (dB)
|
8
|
8
|
8
|
8
|
X
|
Probability of edge communication
( * 100%)
|
O.75
|
O.75
|
O.75
|
O.75
|
B
|
Normal fading margin (dB)
|
5.40
|
5.40
|
5.40
|
5.40
|
Z
|
Virtual soft handoff enhancements
Yi (dB)
|
O
|
O
|
O
|
O
|
Y
|
Signal-to-noise ratio synthesis requirement
Ask (dB)
|
-3.60
|
-1.60
|
2.40
|
6.40
|
V
|
Terminal minimum reception
Power (dBm)
|
-107.21
|
-104.88
|
-99.22
|
Nullification
|
D
|
Maximum allowed path
Loss (dB)
|
162.9
2
|
157.20
|
151.54
|
Invalidation
|
Coverage radius estimation
|
b
|
Penetration damage of buildings
Consumption (dB)
|
20
|
20
|
20
|
|
C
|
Maximum loss in downlink
(dB)
|
142.92
|
137.2
O
|
131.5
4
|
d
|
Base station antenna height
(m)
|
40.00
|
40.00
|
40.00
|
e
|
Terminal antenna height
(m)
|
1.50
|
1.50
|
1.50
|
f
|
Center frequency
(MHz)
|
870.00
|
870.00
|
870.00
|
g
|
HATA model ground
Shape correction (dB)
|
0
|
0
|
O
|
h
|
1km loss
(dB)
|
124.31
|
124.31
|
124.31
|
i
|
Slope of
|
34.41
|
34.41
|
34.41
|
|
j
|
Radius of coverage
(km)
|
3.47
|
2.37
|
1.62
|
And 5, converting the normalized distance corresponding to each service speed coverage radius by the speed determining module 125, wherein the normalized distance is not less than the highest speed of the originally set normalized distance and is the forward highest speed which can be realized when the relative position meets the specified communication probability.
The conversion results are shown in table 5, and the coverage of only two rates of 38.4k and 76.8kbps among the three possible rates can be not less than the set normalized distance of 0.6, so 76.8kbps is the highest forward rate achievable by satisfying the design criteria at the designated location.
TABLE 5 normalized distance for each rate coverage radius
Traffic rate
(kbps)
|
38.4
|
76.8
|
153.6
|
Radius of coverage (km)
|
3.47
|
2.37
|
1.62
|
Cell radius (km)
|
3.86
|
Coverage reachable home
Normalized distance
|
0.90
|
0.61
|
0.42
|
Assigning predicted attribution
Normalized distance
|
0.6
|
Whether or not the finger can be reached
Fixed distance
|
Is that
|
Is that
|
Whether or not
|
The present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof, and it should be understood that various changes and modifications can be effected therein by one of ordinary skill in the pertinent art without departing from the spirit and scope of the present invention as defined in the appended claims.