- Research Article
- Open Access

# Comparison of the Link Budget with Experimental Performance of a WiMAX System

- Jeffrey De Bruyne
^{1}, - Wout Joseph
^{1}Email author, - David Plets
^{1}, - Leen Verloock
^{1}, - Emmeric Tanghe
^{1}and - Luc Martens
^{1}

**2009**:247436

https://doi.org/10.1155/2009/247436

© Jeffrey De Bruyne et al. 2009

**Received:**6 March 2009**Accepted:**12 November 2009**Published:**27 December 2009

## Abstract

The performance of different modulation schemes of a broadband fixed wireless 802.16 (WiMAX) system in a sector is experimentally determined and compared to link budget calculations using different path loss models. A link budget based on path loss measurements of the actual WiMAX signal at 3.5 GHz for a typical residential scenario in a suburban environment is determined. The link budget calculations show a reasonable agreement with actual performance measurements with certified WiMAX modems. Carefulness is advised when these models are used for the actual deployment of a WiMAX network in a specific area.

## Keywords

- Path Loss
- Modulation Scheme
- Receive Signal Strength Indication
- Path Loss Model
- Link Budget

## 1. Introduction

Fixed Wireless Access (FWA) systems such as Worldwide Interoperability for Microwave Access (WiMAX), based on the standards IEEE 802.16 [1] and HiperMAN [2], are being installed for field trials nowadays and become increasingly important. The advantages of fixed broadband wireless access over wired systems are mainly the lower cost and the flexibility for the deployment of the system. The competitiveness of WiMAX will largely depend upon the actual data rates and ranges that can be achieved.

In [3–5], link budget calculations (which are in fact coverage estimations) have been performed using different path loss models. However, these coverage estimations have not been validated by performance tests. Theoretical analyses and simulations of the performance of 802.16-based systems have been investigated in [3, 4, 6–12]. In [11], measurements of the carrier-to-interference-noise ratio (CINR) are shown and the actual measured performance of an 802.16-based system is investigated in [13].

The objective of this paper is to validate link budget calculations with actual performance results. Therefore the coverage is investigated in a sector for an IEEE 802.16-2004 system operating in Non-Line-of-Sight (NLOS) conditions at 3.5 GHz with a channel bandwidth of 3.5 MHz in a suburban environment of Ghent, Belgium. For this analysis a path loss model at 3.5 GHz is developed for suburban environments in Belgium for a transmitter and receiver height of 15 m and 2.5 m, respectively. Moreover, link budget calculations have been made using the path loss model and exisiting ones and compared to actual performance measurements of the WiMAX system.

Sections 2 and 3 describe the configuration and methodology of this analysis. The path loss model and link budgets are discussed in Section 4. The validation with actual performance measurements is described in Section 5. Finally, conclusions are presented in Section 6.

## 2. Configuration

### 2.1. Frequency Band Selection

When planning a FWA network, the operator has to make a choice between the available frequency bands. The selection of the frequency band to be used has a major effect on the dimensioning and planning of the FWA network.

Here, the 3.5 GHz FWA band was chosen. The decision was based on the fact that the band is licensed and interference is under control. Higher transmission powers are also allowed and the frequencies of the band are sufficiently low to obtain a better range and coverage than, for example, at 5.8 GHz. The 3.5 GHz FWA band is a licensed band and powers of 35 dBm into the BS antenna are allowed [14], while, for example, in the 2.4 GHz industrial, scientific and medical (ISM) band only an equivalent isotropically radiated power (EIRP) of 20 dBm is allowed.

### 2.2. Selected Parameters and Scenario

We will investigate an outdoor scenario for residential applications in Ghent. The height of the base station (BS) is 15 m. We analyze the outdoor receiver (Rx) height of equal to 2.5 m (representing the first floor of a house). At this height, the Rx will be typically installed in residential neighborhoods. The Rx is positioned at 2.5 m using a telecopic mast. The input power to the BS antenna is 35 dBm (3.2 W).

Characteristics of the considered WiMAX system.

Parameter | Value | |
---|---|---|

Settings PHY | Carrier DL frequency | 3.520 GHz |

Modulation adaptive | BPSK 1/2, QPSK 1/2, QPSK 3/4, 16-QAM 1/2, 16-QAM 3/4, 64-QAM 2/3, 64-QAM 3/4 | |

Channel bandwidth | 3.5 MHz | |

Cyclic prefix | 1/16 | |

BS power | 35 dBm (3.2 W) | |

Maximum theoretical throughput | 12.7 Mbps | |

15 m | ||

2.5 m | ||

14 dBi | ||

BS feeder loss | 0.5 dB | |

Polarization | Vertical | |

Electrical beam tilt | ||

Dimensions | ||

9.5 dBi | ||

Rx feeder loss | 2.5 dB | |

Distance between Rx antennas | 15 cm |

### 2.3. Receiver Sensitivity

The minimum required Rx sensitivity ( [dBW]) can be calculated from the minimal required receiver noise input power ( [dBW]) and SNR (signal-to-noise ratio) by using the following formulas:

## 3. Methodology

### 3.1. Path Loss and Link Budget Methodology (Figure 2)

#### 3.1.1. Path Loss

The noise floor is determined for each measurement track. The noise floor for the SA-settings used here is about dBm. Samples which are below the noise floor plus 10 dB (additional margin) are discarded. The measurement value will also depend on the detector mode: the root-mean-square (RMS) mode is used, as proposed in [16]. To remove the fluctuations of the fast fading, the received signal strength is averaged and sampled according to the Lee criterion [17], that is, 50 samples for each 40 wavelengths. For an Rx height of 2.5 m about 60,000 samples are stored for averaging and further data processing. We consider distances from 30 m to 1300 m from the BS, because no connection could be obtained (see Sections 4 and 5) at further distances.

#### 3.1.2. Link Budget

The calculation and tabulation of signal powers, gains, losses, and SNR for a complete communication link is called a link budget, which is a useful approach for the basic design of a communication system (Figure 2). To determine the link budget and the coverage range of the WiMAX system we use the parameters of Table 1 and the path loss models described in Section 4.1 (method of Section 3.1.1) and in [18]. We have to remark that the link budget is calculated for the CPE antennas and not for the Jaybeam antenna, which is only used to determine the PL.

The shadowing margin and fade margin have also an important role in the link budget. They depend on the coverage and reliability requirements of the operator for the system. The shadowing margin depends upon environment and is calculated from the standard variation of the path loss model and the coverage requirement [19]. In this paper a coverage requirement of 90% at the edge of the cell is considered. Furthermore, a fade margin of 10 dB is proposed. The fade margin takes the yearly availability of the system into account. The link availability will be affected by clear-air and rain multipath fading. Using the ITU-R P.530 model [20] described in [21], a fade margin of 10 dB results in a yearly availability of 99.995% for a cell radius of 10 km. In this paper the downlink performance is analyzed.

### 3.2. Validation Methodology (Figure 2)

The WiMAX system includes besides the base station (BS), also CPE (Customer Premises Equipment, also called WiMAX modems) for residential users. The WiMAX system supports BPSK, QPSK, 16-QAM, and 64-QAM modulations and provides a per-allocation adaptive modulation and coding scheme. This means that the WiMAX system should ensure the most robust link conditions with the highest data rate by optimally selecting the best physical mode in DL at each different location. Different CPEs are positioned in a minivan with the antennas mounted outside the car on a telescopic mast at a height of 2.5 m. For these outdoor measurements used for validation purposes (Figure 2), the CPE antennas have always been oriented in the direction where the Received Signal Strength Indication (RSSI) reaches a maximum. The direction of maximal RSSI is determined as follows. The CPE antenna is slowly manually rotated and at the same time the RSSI value is automatically displayed. By repeating this procedure a few times, the direction with maximal RSSI is obtained.

To obtain information of the several Radio Frequency (RF) characteristics such as modulation scheme, CINR, and received signal power, the webinterface of the CPE is used. These parameters can be retrieved with a simple tool, which stores the data in a text file. Only the DL is considered here.

The measurements (noted as "performance measurements'' here, not to be confused with the path loss measurements in Section 3.1) are performed at different locations in Ghent. Only that area in Ghent that is radiated by the main lobe of the base station antenna is considered. This area is divided into multiple zones separated 100 m from each other. We consider only zones at distances between 100 m and 1300 m from the BS. The first zone is the area within a distance of at least 100 m and at most 200 m from the BS, the second zone is the area within a distance of at least 200 m and at most 300 m from the BS, and so forth. For each zone three locations are arbitrarily selected, so in total 36 locations are analyzed (of which some of them did not acquire connection). At every location the RF parameters (particularly the assigned modulation scheme in DL) are retrieved each second for a period of 720 seconds (twelve minutes) by using the we tool. This measurement period is necessary to execute performance tests to obtain statistical relevant results. In Section 5 the results of these actual performance measurements will be compared to link budget calculations (presented in Section 4).

## 4. Path Loss Results

### 4.1. Path Loss Models

Path loss (PL) between a pair of antennas is the ratio of the transmitted power to the received power. It includes all of the possible elements of loss associated with interaction between the propagating wave and any objects between the transmitting and receiving antennas [19]. The path loss is modelled according to a lognormal shadowing model. In this paper the median path loss is modelled as

where is the distance in m, is the path loss in dB at an arbitrarily chosen reference distance in m, and is the dimensionless path-loss exponent. is chosen to be 100 m here (within the range of the measurements namely 30 m up to 1300 m). Furthermore, is the shadowing fading variation and has a standard deviation . The intercept can be determined in two ways:

(i)*nonfixed intercept:* the intercept
is considered as a separate variable of which the value is determined through a least-squares fit,

(ii)*fixed intercept:* the intercept
is chosen fixed and equal to the free-space path loss at reference distance
, that is,
, where
is the wavelength in m (method of [18]).

The one-slope model's parameters are determined for both nonfixed and fixed intercept . A comparison between nonfixed and fixed intercept path loss models is made to examine which approach provides a better fit to experimental data.

Secondly, we perform a fit where only the parameter of (2) is adjusted (model 2, i.e., fixed intercept ) and is defined as , where is the wavelength in m. With m, is 83.38 dB. As a result, we obtain for model 2 a path loss exponent and a standard deviation of 8.33 dB. Figure 4 shows the PL models at = 2.5 m as a function of the distance BS-Rx.

For model 1, the lowest standard deviation is obtained, indicating a better resemblance with the experimental data. This is of course due to the use of two parameters for the fit. The path loss exponent derived in [18] ( ) for the suburban environment (Erceg C model, single parameter [18]) is lower than the value obtained with model 2. This could be explained by the fact that the houses in the environments of [18] contain less brick and reinforced concrete material than the houses in this paper and that suburban streets of [18] are mostly wider than the streets in this paper. Suburban environments in Europe (such as cities like Ghent) are thus more dense than in, for example, the USA. The standard deviation determined in [18] for suburban environment is about the same as the value obtained with model 2.

### 4.2. Cumulative Distribution Function

To investigate the correctness of the models, the cumulative distribution function (CDF), that is, of the difference between the experimental data and the mean path loss model is analyzed. This CDF is then being fit using a CDF of a lognormal distribution (in dB). The RMS deviation is minimized with a linear regression fit, where the mean value is set to zero and the standard deviation is adjusted.

Also the CDF of the difference between the logarithmic experimental data and the values predicted by model 2 is made and this CDF is being fit to a CDF of a lognormal distribution with mean value zero. The resulting standard deviation of the lognormal fit equals 8.71 dB (only a deviation of 0.38 dB from the experimental value of of 8.33 dB). The experimental CDF and the lognormal CDF are also shown in Figure 5.

Both models deliver accurate results, but the use of the first model (nonfixed intercept) is preferred because of the following reason. In the literature it is generally accepted that shadow fading samples are lognormally distributed. The K-S (Kolmogorov-Smirnov) test is a goodness-of-fit test that can be performed on the shadow fading samples to ascertain this lognormality. The nonfixed intercept one-slope model passed the K-S test at level of significance; whereas the fixed intercept model (model 2) did not pass the same test. Also the standard deviation of the first model is 7.13 dB, which is smaller than the 8.33 dB of the second model. This shows that path loss is most accurately specified by a path loss model with a nonfixed intercept.

### 4.3. Link Budget Calculation

Figure 6 shows a reasonable correspondance between the range estimations of the different path loss models for suburban environments. The deviations are due to differences in environmental model types (one or two parameters), and the used equipment (such as the WiMAX base station, and antennas). When coverage estimations are made, the used path loss model should be carefully selected. How these ranges correspond with the true performance will be analyzed in Section 5.

## 5. Validation

Figure 6 shows the results of the actual performance measurements executed on the used WiMAX system at different locations. The different modulation schemes (left -axis) as a function of the distance are shown. At each location (corresponding with a certain distance from the BS), the used modulation scheme is monitored (see Section 3.2) each second during a period of 12 minutes (in total samples per location). Thus each modulation scheme (MS) can occur several times at a certain distance.

For each modulation scheme separately (right -axis), the different zones where the modulation scheme occurs are collected and classified into a histogram by splitting the range of the data into equal-sized bins (or zones) of 100 m (starting from 0 m until 1300 m, see Section 3.2). Each histogram in Figure 6 shows the ratio of the number of the samples belonging to each zone to the total number of samples of a modulation scheme. These histograms show thus how the different modulation schemes are distributed as a function of the distance to the BS. This ratio is noted as with distance BS-Rx, or the probability that a certain modulation scheme occurs in a zone to from the BS. Figure 6 shows, for example, that 64-QAM 3/4 only appears up to a distance of 400 m and reaches a maximum between 200 m and 300 m (with a probability of about 0.65). BPSK occurs from 500 m up to 1300 m, with a maximal probability of 0.3 in the zone between 900 m and 1000 m.

A relative high correlation coefficient of between modulation scheme and distance is obtained: the larger the distance, the lower the modulation scheme. However, this correlation is lower than the correlation coefficients of the path loss models, which is about (almost perfectly correlated). The lower correlation of the true performance is due to the significant influence of "local factors'' (such as high buildings, small streets), which can largely degrade the performance at the receiver side. Path loss models take these circumstances less into account. Therefore one should be careful when using these path loss models to estimate the range of a particular WiMAX system.

The curve "avg performance meas'' (Figure 6) is calculated by averaging the samples for each modulation scheme. This curve shows the average range corresponding to a certain modulation scheme. BPSK 1/2 (and QPSK 1/2) corresponds again with the highest ranges while 64-QAM will reach the shortest distances. BPSK 1/2 and QPSK 1/2 reach about the same range (for the true performance) due to the limited number of locations that have been investigated (more locations would result in higher ranges for BPSK 1/2 than for QPSK 1/2). Comparing the curve of the average performance with the curves of the link budget calculations of the different path loss models, a reasonable correspondance can be observed for all path loss models. While the average performance of BPSK 1/2 and 64-QAM 3/4 corresponds with ranges 0.97 km and 0.26 km, the link budget calculations for, for example, model 1 correspond with ranges of 0.77 km and 0.24 km, respectively. The differences between link budget calculations and average actual performance may be due to the fact that the performance measurements with the CPEs are performed with directional CPE antennas that always have been oriented in the direction where the RSSI reaches a maximum (see Section 3.2).

This study shows that one has to be careful when performing link budget calculations for suburban environments. These calculations can thus be used to make a rough estimation of the number of required base stations for the deployment of WiMAX in a suburban environment (shown by reasonably agreement with average performance). A more detailed site-survey (such as the method described in Section 3.2) is advised for actual deployment of a WiMAX system.

## 6. Conclusions

In this paper propagation measurements and actual performance tests for fixed wireless systems operating at 3.52 GHz are analyzed and discussed. A statistical path loss model at 3.5 GHz for a base station antenna in a suburban environment is developed and link budget calculations are performed using different models. The calculations are validated using performance measurements of a real WiMAX system. Average performance results based on measurements correspond reasonably well with the ranges calculated with different path loss models. While link budget calculations are almost perfectly correlated with distance, the actual performance measurements are less correlated with the distance. Path loss models can be used to make an estimation of the number of required base stations within a specific environment, but a detailed site-survey is advised for actual deployment of the WiMAX base stations.

## Declarations

### Acknowledgments

This work was supported by the IBBT-CIcK project, co-funded by the Interdisciplinary Institute for BroadBand Technology (IBBT), a research institute founded by the Flemish Government in 2004, and the involved companies and institutions. W. Joseph is a Postdoctoral Fellow of the FWO-V (Research Foundation at Flanders).

## Authors’ Affiliations

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