investigation of wi-fi indoor signals under los and nlos...

7
Investigation of WI-Fi indoor signals under LOS and NLOS conditions S. Japertas, E. Orzekauskas Department of Telecommunications, Kaunas University of Technology, Studentu str. 50, LT-51368 Kaunas, Lithuania e-mail: [email protected], [email protected] R. Slanys Telecommunications Department, JSC “Lietuvos dujos”, Aguonu str. 24, LT-03212 Vilnius, Lithuania e-mail: [email protected] ABSTRACT In this work the propagation of radio waves at 2.4 GHz in NLOS conditions has been studied. The study was carried out using two transmitters operating on different standards: 802.11g (D-Link) and 802.11n (TrendNet). The experiments were carried out under different scenarios in order to investigate the effect of the walls on signal propagation. Experimental results were processed using statistical methods and were compared with "log-distance" and free space models and with the network simulation programme "Aerohive online planner" results. A new signal prediction model, which allows predicting signal propagation depending on the number of walls, was created. In this work 802.11g and 802.11n standards were also compared. The results can be used to further investigate radio wave propagation in indoor NLOS conditions and in the development of wave propagation models. KEYWORDS WLAN, 802.11 signal indoor propagation, LOS, NLOS. 1 INTRODUCTION Data transfer is a key component of the Information Society. Its impact on daily life increases constantly. Wireless Local Area Networks (WLAN) technologies and the application thereof in the indoor environment have gained especially high acceleration. Signals are transmitted under the line-of-sight (LOS) and/or non LOS (NLOS) conditions in such environments. During the WLAN design, it is necessary to pre-evaluate LOS and NLOS radio-wave propagation in the indoor environment. But in practice systems generally work under NLOS conditions. The main problem is that it is very difficult to predict indoor radio wave propagation in the absence of direct visibility between the transmitter and the receiver. Although some number of radio waves propagation prediction methods [1-4] have been proposed recently, it is still difficult to predict how the radio frequency waves act. The existing simulation programmes are mainly intended to simulate signal propagation under LOS conditions. The goal of this research paper was the experimental investigation of the 802.11 g and n standards (further 802.11g/n) radio waves NLOS propagation in the multi partitions indoors. Experimental results were compared with the log- International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32 The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X) 26

Upload: trancong

Post on 01-Feb-2018

225 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

Investigation of WI-Fi indoor signals under LOS and NLOS

conditions

S. Japertas, E. Orzekauskas

Department of Telecommunications, Kaunas University of Technology,

Studentu str. 50, LT-51368 Kaunas, Lithuania

e-mail: [email protected], [email protected]

R. Slanys

Telecommunications Department, JSC “Lietuvos dujos”,

Aguonu str. 24, LT-03212 Vilnius, Lithuania

e-mail: [email protected]

ABSTRACT

In this work the propagation of radio waves

at 2.4 GHz in NLOS conditions has been

studied. The study was carried out using two

transmitters operating on different standards:

802.11g (D-Link) and 802.11n (TrendNet).

The experiments were carried out under

different scenarios in order to investigate the

effect of the walls on signal propagation.

Experimental results were processed using

statistical methods and were compared with

"log-distance" and free space models and

with the network simulation programme

"Aerohive online planner" results. A new

signal prediction model, which allows

predicting signal propagation depending on

the number of walls, was created. In this

work 802.11g and 802.11n standards were

also compared. The results can be used to

further investigate radio wave propagation

in indoor NLOS conditions and in the

development of wave propagation models.

KEYWORDS

WLAN, 802.11 signal indoor propagation,

LOS, NLOS.

1 INTRODUCTION

Data transfer is a key component of the

Information Society. Its impact on daily

life increases constantly.

Wireless Local Area Networks (WLAN)

technologies and the application thereof

in the indoor environment have gained

especially high acceleration. Signals are

transmitted under the line-of-sight (LOS)

and/or non LOS (NLOS) conditions in

such environments. During the WLAN

design, it is necessary to pre-evaluate

LOS and NLOS radio-wave propagation

in the indoor environment. But in

practice systems generally work under

NLOS conditions. The main problem is

that it is very difficult to predict indoor

radio wave propagation in the absence of

direct visibility between the transmitter

and the receiver. Although some number

of radio waves propagation prediction

methods [1-4] have been proposed

recently, it is still difficult to predict how

the radio frequency waves act. The

existing simulation programmes are

mainly intended to simulate signal

propagation under LOS conditions. The goal of this research paper was the experimental investigation of the 802.11 g and n standards (further 802.11g/n) radio waves NLOS propagation in the multi partitions indoors. Experimental results were compared with the log-

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

26

Page 2: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

distance path losses and free space losses models as well as with the results of the simulation programme "Aerohive online Wi-Fi planner". Based on the results of experiments, a new model for the evaluation of influence of multi partitions on the propagation of such signals was proposed.

2 RADIO WAVE NLOS INDOORS

PROPAGATION

2.1 Experiments and Models

There is a sufficient number of

experiments carried out in various

NLOS indoor environments. In most

researches, the experimental results are

approximated by some models. It is

quite difficult to compare the results of

different authors because the transferred

signal is affected by a variety of

propagation mechanisms (absorption,

scattering, reflection, and diffraction)

under the NLOS conditions. However, in

some cases it is difficult to explain the

experimental results according the

existing effects and describe them

according the well-known models.

On the other hand, there still is an

insufficient number of studies,

particularly in investigating the 802.11n

standard, which would allow a full

assessment of radio wave propagation

indoors.

In order to predict the NLOS signal

propagation, the following models [1-4,

6] are usually applied: Open Space,

Traditional, Multi-Partitioning, Log-

Distance Path Loss Model, Log-Normal

Shadowing, Two-Ray Model, Free

Space Losses, and other.

The most prevalent model, which is

commonly used to compare the

experimental results, is the free space

losses (FSL) model:

FSL = 92,45 + 20 logf +20lgd, (1)

where:

f - the frequency in GHz,

d - the distance between the transmitter

and receiver in km.

The log-distance model (2) [1, 5] or its

modifications are amongst the most

widely used ones:

0

0 log10)()(d

dndPLdPL , (2)

where:

PL(d) – the path loss in the distance d,

PL(d0) – the path loss in the distance d0,

d0 – the close-in reference distance in

meters,

n – the path loss exponent.

The multi-partitioning model tries to

evaluate the signal propagation in

buildings with multiple partitions, walls,

and other obstacles [2]. The model's

mathematical expression is:

MAffdd

GGPP trtr

)log20

6.32(

00

, (3)

and

,1

c

bN

aN

NAA (4)

where:

A – an additional signal attenuation due

to the building partitions, walls, or other

barriers;

N – the number of the partitions;

A1 – the average attenuation of the

partition;

constants a, b, and c are determined

during the experiment.

As it is seen, this model is not very easy

to use in the practicable simulations.

2.2 Simulation tools

Currently, there are a number of

simulations tools that allow indoor

signal propagation under LOS and

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

27

Page 3: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

NLOS conditions to be predicted. In this

work In order to simulate signal

propagation in indoor conditions the

"Aerohive online Wi-Fi planner" tool

was chosen. This programme has a web-

based interface and helps the indoor

wireless network to be designed and

allows the RF environment, where the

wireless network will be installed to be

simulated; it also allows setting the

access point (AP) parameters

(frequency, power, standard, etc.). There

is the possibility to design your indoor

map, to put the AP into the desired

location and obtain a simulated

coverage.

3 MEASUREMENT SCENARIOS

The experiments were carried out on the

fourth floor of the building of the

Telecommunications and Electronics

Department of the Kaunas University of

Technology (Fig. 1). Measurements

were made by increasing the distance

between the transmitter and receiver step

by step in small portions. It is the way

for detecting effects that could cause this

complex geometry of the corridor. The

height of the corridor and rooms is 3.00

m. The total length of the corridor is 155

m. The measurements were carried out

up to 90 m. The length of the rooms

varied. The signal reflection and

scattering effects from the surface of the

restrictive corridors have a large impact

on the measurements. As it is known,

these two effects strongly depend on the

dielectric properties and signal

frequency [10]. Reflective surfaces in

the corridor and rooms include glass and

wooden doors and plaster walls. In this

research the dielectric properties of these

materials were not specifically

measured. Two scenarios (Scenarios 1

for the LOS conditions and Scenarios 2

for the NLOS conditions) were applied

when a wireless router was fixed at a

height of 1.47 m and a receiver was

moved along the central axis of rooms or

the corridor:

The following two wireless routers were

used as the original signal sources: D-

Link DIR300 version 2.01, which

supports the IEEE 802.11g standard, and

Trendnet TEW410 APB, which supports

the IEEE 802.11n standard. The main

specifications are: Module technique

16QAM/ 64QAM/BPSK/QPSK with

OFDM, frequency is 2462 MHz,

transmit power is 16 dBm for DIR300;

Module technique is OFDM, frequency

is 2437 MHz, transmit power is 15.5

dBm for TEW410APB.

Measurements were carried out by

means of the spectrum analyzer Anritsu

„Cell Master MT8212A“. The spectrum

analyzer was lifted to a height of 1.47

meters and was moving along the axial

line of the corridor or the hall.

10 measurements were made in each

point, and the average value of these

results was calculated. The statistical

treatment of these results for the LOS

conditions (Scenario 1) showed that the

root mean square deviation was

approximately 2.8 dBm for the 802.11g

standard and about 3.3 dBm for the

802.11 n standard (depending on the

distance from the transmitter). The

correlation coefficient was about 0.88

and 0.83 for the 802.11 g and 802.11 n

standards respectively. The root mean

square for the NLOS conditions

(Scenario 2) was 2.1 dBm for the 802.11

standard and 2.4 dBm for the 802.11 n

standard. The correlation coefficient was

0.945, which shows a strong relation

between the results. As can be seen, the

deviation for the 802.11g standard is less

than for the 802.11n standard. These

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32

The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

28

Page 4: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

statistical results illustrate the accuracy

of the experiment measurements.

4 MEASUREMENT RESULTS AND

ANALYSIS

4.1 Scenario 1

Figure 2 shows the measurement data

when wireless routers D-Link and

Trendnet are treated as the access points

(AP).

The results are compared with the free-

space model (FSL) results. It is clearly

seen that for the Tx-Rx distances higher

than 15 m path losses are less than for

the FSL for both D-Link and Trendnet.

Such signal's levels especially gain

compared with FSL, and this is observed

approximately from the distance of 40

m. This can be explained by waveguide

effects [5, 7–9] which are minimized

multi path effects. The fact that the

corridor functions as a waveguide is

proved by the fact that according to

formula (1) the best approximation of

the results is achieved with n < 1,6 for

the D-Link and n < 1,3 for Trendnet. As

it is seen, n for the 802.11n is less than

for the 802.11g. This means that the

waveguide effect for 802.11n is stronger

than for the 802.11g.

The strong two maxima are clearly

visible at about 37 and 60 m from Tx.

The comparison of the measured results

with losses in a free space show that at

the distance Tx-Rx approximately 60 m

the difference is about 11 dBm for the

D-Link, while, for the Trendnet case, the

difference is about 17 dBm. At 37 m

distance this difference is stronger for

the 802.11 n cases and is about 23 dBm.

For the 802.11g this difference only is

about 8 dBm. This reaffirms the fact that

the waveguide effect is stronger for the

802.11n technology than for the

802.11g.

Figure 1. Rooms and Corridor Plan. The basis of

arrows shows the wireless router fixed position;

the direction of the arrow shows the receiver

moving direction.

-80

-70

-60

-50

-40

-30

-20

-10

0

0 10 20 30 40 50 60 70 80 90 100

Receiv

ed

sig

na

l le

vel,

dB

m

Tx - Rx, m

802.11g FSL 802.11n FSL

802.11g LOS 802.11n LOS

Figure 2. Received signal level vs Tx and Rx

separation for 802.11g and 802.11n standards.

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32

The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

29

Page 5: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

The comparison of the experimental

results with the simulation tool results is

shown in Fig. 3. As can be seen, the

simulation and experimental results are

very different (about 38%). It is also

necessary to mention that the simulation

results for 802.11 g and 802.11 n

standards are approximately the same.

But the experiment results showed that

the results of these two standards are

different.

Figure 3. Comparison of the experimental results

with the simulation results LOS conditions.

4.2 Scenario 2

According this scenario, the influence of

the rooms partitions on the signals

propagation was examined.

Measurements were carried out in every

room as well as in halls. The first hall is

separated from the transmitter by the

seven walls.

Measurement results showed that the

single wall signal's absorption is

approximately 9 dBm for the 802.11n

and 10 dBm for the 802.11g standards.

Each subsequent partition increased the

signal absorption. However, the

influence of the each partition on the

signal absorption is decreasing so far as

the partition's distance from the

transmitter increases. The results of such

influence of the number of partitions and

a distance on the signal absorbance are

shown in Table 1 below.

Measurements showed that the 802.11g

standard signals level decreases rapidly

at a distance over 40 m while in the 2nd

hall they were not measured. So, Table 1

only shows the results up to 30 m

distance from the transmitter. The signal

level of the 802.11n standard was clearly

seen at a distance over 70 m from the

transmitter.

The comparison of the experimental

results with the simulation tool results

for the NLOS conditions is shown in

Fig. 4.

Table 1. The influence of the number of walls

and a distance from the transmitter on the signal

absorption. Distance, m 10 15 20 25 30

Number of

walls 1 2 4 5 6

Absorption

802.11g, dBm -10 -6 -4.8 -1.7

-

1.5

Absorption

802.11n, dBm -9 -5 -4.2 -1.8

-

1.2

Figure 4. Comparison of the experimental results

with the simulation results for the NLOS

conditions.

As can be seen, the simulation results are

significantly different to the

experimental results. The differences in

the results are about 21-23 % up to a

distance of 22 m from the transmitter. At

a distance greater than 22 m the

simulation tool predicts -92 dBm signal

level, which means that the receiver

doesn't fix this signal. The experimental

results show that the signal is fixed at the

longer distance.

According to these results, the new

signal prediction model is proposed for

the evaluation of homogeneous partition

influence on the signal propagation

under NLOS conditions. This model

- 90 - 80 - 70 - 60 - 50 - 40 - 30 - 20 - 10 0

10 20 30 40 50 60 70 80 90 100 Comparison of the experimental results with the simulation results

Experimental results (802.11n) Experimental results (802.11g)

Simulation results

Distance, m

Sig

nal

level,

dB

m

- 90 - 80 - 70 - 60 - 50 - 40 - 30 - 20 - 10 0

10 20 30 40 50 60 70 80 90 100

Distance, m

Comparison of the experimental results with the simulation results

Experimental results (802.11n)

Experimental results (802.11g)

Simulation results

Sig

nal

lev

el,

dB

m

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32

The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

30

Page 6: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

takes into account the distance from the

transmitter, the number of walls, single

wall absorption, the power of the

transmitter, the transmitter and receiver

antenna gain, and the transmitted

frequency. Mathematically, this model is

described as follows:

),log(, SKmSLFSLGTP rtr (5)

where:

Pr – the received signal level, dBm;

T – the transmitter power, dBm;

G – the transmitter and receiver antenna

gain, dBi;

FSL – free space losses, dB;

SL – the separate wall‘s absorption

losses, dBm;

SK – the number of walls, m, is a

coefficient, which depends on the 802.11

standard.

According to these measurements, in the

802.11n case, m is 16.2 and in the

802.11g case, m is 18.1. The

mathematical description of this new

model, as can be seen, to some extent, is

similar to the multi-partitioning model.

However, in our opinion, the new model

may be more convenient for the user

because it requires less measurements,

for example, in order to evaluate the

constants a, b, and c.

5 CONCLUSIONS

1. Experimental results showed that

under LOS conditions the waveguide

effect, which can affect the appearance

of the other effects when signal travels

through the complex geometry corridor,

is seen very clearly. 2. The "Aerohive online Wi-Fi planner" simulation tool's results do not fully coincide with the experimental results. The simulation provides higher signal losses than practical. So this simulation

tool suggests more than enough for a certain coverage to be achieved. 3. A new model (5) for predicting 802.11g/n standard NLOS signal propagation in buildings with homogenous partitions is proposed in this research paper.

4. Experimental results may be used to

improve models for WLAN data

transmission prediction in the indoor

NLOS environment.

6 REFERENCES

1. A. Kavas. Investigation of Indoor

propagation Models at 900, 1800 and 1900

MHz Bands. WSEAS Transactions on

Communications. – 2003. – Issue 4, Vol. 2.

– P.444–447.

2. T. Sadiki, P. Paimblanc. Modeling new

indoor propagation models for WLAN based

on empirical results. UKSIM '09 (11th

International Conference): Computer

Modelling and Simulation, – 2009. – P.585–

588.

3. R. Akl, D. Tummala, X. Li. Indoor

propagation modeling at 2.4 GHz for IEEE

802.11 networks. The 6th

IASTED

International Multi-Conference on Wireless

and optical Communications: Wireless

Networks and Emerging technologies, –

2006. – P. 510-014.

4. A. S. Dama, R. A. Abd-Alhameed,

F.Salazar-Quiñonez, SMR Jones, K. N.

Ramli and M.S.A. Al Khambashi.

Experimental Throughput Analysis for

802.11n System and MIMO Indoor

Propagation Prediction. Proc. of the 10th Int.

Symposium on Electromagnetic

Compatibility (EMC Europe 2011). – 2011.

– P.833–836.

5. A. Mohhamed. The Impact of Antennas on

the Bluetooth Link in Indoor Office

Enviroments. SETIT 2005 (3rd International

Conference): Sciences of Electronic,

Technologies of Information and

Telecommunications. –2005. – P.220–224.

6. A. Motley, J. Keenan. Radio Coverage in

Buildings//British Telecom Tech. Journal. –

1990. – Vol. 8. No. 1. P.19–24.

7. H. Saghir, M. Heddebaut, F. Elbahhar, A.

Rivenq, J. Michel Rouvaen. Time-reversal

UWB wireless Communication-Based Train

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32

The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

31

Page 7: Investigation of WI-Fi indoor signals under LOS and NLOS ...sdiwc.net/digital-library/web-admin/upload-pdf/00000266.pdf · Investigation of WI-Fi indoor signals under LOS and NLOS

Control in Tunnel // Journal of

Communications. – 2009. – Vol. 4, No. 4. P.

248–256.

8. Y. Serfaty, D. Porrat. Waveguide

Phenomena in Wideband Indoor Radio

Channel. 2010 IEEE 26-th Convention of

Electrical and Electronics Engineers in

Israel. – 2010. – P. 310–314.

9. Chi Xu and C. L. Law. Experimental

Evaluation of UWB Ranging Performance

for Correlation and ED Receivers in Indoor

Environments // International Journal of

Hybrid Information Technology. – 2009. –

Vol. 2, No 2. – P. 37–54.

International Journal of Digital Information and Wireless Communications (IJDIWC) 2(1): 26-32

The Society of Digital Information and Wireless Communications, 2012(ISSN 2225-658X)

32