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7/28/2019 3 Mitul et al _WIMAX NETWORK_ [ pp10-13].doc
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Performance Evaluation of Wimax Network Using Qualnet
Simulator Mitul R. Khandhedia1, Prof. K.H.Wandra2, Prof. D.N.Khandhar3 and Nirav R. Khandhedia4
1, 2, 3C.U. Shah College of Engineering & Technology, Wadhwan,
4Project Engineer, Wipro Technologies, [email protected]
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Abstract--WiMAX which represents World interoperability
for Microwave Access is a major part of broadband wireless
network having IEEE 802.16 standard provides innovative
fixed as well as mobile platform for broadband internet
access anywhere in anytime. This paper provides the detail
about Mobile WiMAX. Mobile WiMAX gives full mobility of
cellular networks at higher broadband speeds than other
broadband networks like Wi-Fi. Mobile WiMAX and Fixed
WiMAX is analyzed on the base of the variation in FFT size,
Bandwidth and cyclic prefix factor.
Mobile WiMAX operates in 2 to 6 GHz range which is
mainly licensed bands. Mobile WiMAX will be the mostfamous technology in the coming years.
Here, we are considering a network of WiMAX as shown
in figure 2. This network is having two applications of WiMax. One is Fixed WiMAX connection while another
is Mobile WiMAX.
Keywords: WiMax, FFT, IEEE 802.16, Qualnet Simulator
I. INTRODUCTIONMobile WiMAX [1] (802.16e) has allowed users to access
high speed internet access anywhere and anytime, it also provides true mobility. Users that are moving at the speed
of 75 mph can get data and other multimedia supportwithout any problem. Subscribers who are accustomed to
the cellular environment will be able to get data serviceswith a speed comparable to that of wired communications.
Figure 1 Mobile Wimax v/s Other technologies [1]
Mobile WiMAX technology will be able to address the
most users needs, now-a-days wired high speed internetaccess provide high data rates but the problem is mobility
and the same is the case with wireless internet accesswhich has very limited range and very slow transfer rates.
WiMAX [2] provides high broadband internet access at
high transfer rates and meeting the demands of varioususers. Mobile WiMAX can be applied to various fields
other than mobile communications .mobile WiMAX can
be applied to those areas where wired infrastructure cannot
be reached. WiMAX provide high speed internet
regardless of the location.Mobile WiMAX services are cost effective solution as
compared to 3G technologies.
II. CASE STUDY
Figure 2 Case Study WiMax Network
This network is 40 km x 40 km. It has 4 base stations.There are four subscriber stations. There are two CBR
applications under considerations. Node 5 and 7 are fixednodes while 8 is a mobile node and 9 are fixed. Node 8
travels path from node 8 to node 9 as static path shown byflags. This path is taken such that node has to take hand
off from base station 1, 2, 3, 4 and last back to 1.
This network is analyzed on the base of variation of FFTsize, Bandwidth and Cyclic prefix factor. Results are
analyzed on based of the throughput of server, jitter atserver and also end to end delay of packets.
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As per IEEE 802.16 power level is 20dbm. But as per FCCnorms any wireless network can have power level up to 3-
dbm and antenna gain up to 6db.
AKGEC JOURNAL OF TECHNOLOGY, vol.1, no.2
So in this network we have varied power level from 15
dbm to 25 dbm to find out optimum level required to reachout every corner of above network. Path loss model for
any wireless network is preferred to be free space model.
Other Parameters:
We have kept other parameter like
FFT Size 128, 512, 1024, 2048
Bandwidth 5, 10, 15, 20 MHzCyclic prefix factor 4, 8, 16, 32
Packet reception model PHY802.16
MAC Protocol 802.16
Station type Subscriber stationBase Station
• Mobility Model 802.16e
• Promiscuous Mode Enable
Network Protocol IPV4
Now let’s see experiment carried out and its analysis.
Variation FFT Size [3]: This parameter specifies the FFT
size used in the device. Four FFT sizes are supported here:2048, 1024, 512, and 128. The FFT size determines the
number of available subcarriers and OFDM symbolduration. In general, for a given bandwidth, a larger FFT
size results in a greater number of available subcarriersand a longer OFDM symbol duration.
Figure 3: Effect of FFT size on throughput
figure 3 shows the comparison of throughput of various
nodes for 128, 512, 1024 and 2048 FFT size. It is clear from above figure that client node throughput remains
constant for any FFT size. Throughput of server 1 – fixedWiMAX remains also almost same, less affected by the
FFT size. But throughput of mobile WiMAX nodeincreases appreciably by increasing FFT size.
Figure 4 shows effect on jitter by increasing the FFT size.In comparison we have two server nodes. One is fixed
WiMAX node, whose jitter almost remains same for anyvalue of FFT size. But when we talk about mobile
WiMAX node, its jitter decreases appreciably as weincrease FFT size. So, we can say that increasing FFT size
decreases jitter of mobile WiMAX
Effect on End to End delay by change in FFT size is
shown in above figure 5. It is clear from above figure thatend to end delay of fixed WiMAX almost remains same
for all size of FFT. But mobile WiMAX decreases verymuch when FFT size is increased. So, we can say that
increasing FFT size, we can decrease end to end delay.
Figure 4: Effect of FFT size on jitter
Figure 5: Effect of FFT size on delay
Effect of Cyclic Prefix Factor [3]
Figure 6: Effect of Cyclic Factor on throughput
This parameter specifies the ratio of useful symbol time to
cyclic prefix time. Four ratios are supported here: 4, 8, 16,and 32.
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Now we have varied cyclic prefix factor from 4, 8, and 16to 32. We have compared the effect on throughput, jitter
and end to end delay. First let’s check effect on thethroughput.
From figure 6, it can be seen that throughput of client
nodes remains same for all the values of cyclic prefixfactor. So, it is not affected by variation. Now remaining
are two other nodes, server 1 is fixed WiMAX node andserver 2 is mobile WiMAX node. If we check above
graph, throughput of fixed WiMAX node does not change
appreciably.
But if we check throughput of mobile WiMAX node, it is
clearly visible that it increases appreciably for 4 to 8 andthen it slightly for 16 and 32. We can conclude that
throughput increases of mobile WiMAX node by increase
of the cyclic prefix factor.
Figure 7: Effect of Cyclic Factor on jitter
In figure 7, we have seen the effect on jitter for variation
of cyclic prefix factor on both fixed and mobile WiMAXnodes. It is clearly seen from above figure that jitter of
fixed WiMAX decreases slightly by rise of cyclic prefixfactor. But change in jitter of server 2 i.e. mobile WiMAX
is appreciable. From 4 to 8 it decreases appreciably andalso for values for 16 and 32, it decreases more and more.
So, it means that jitter decreases by rise of cyclic prefixfactor.
Figure 8: Effect of Cyclic Factor on delay
From figure 8, we can see that change in cyclic prefix
factor, decreases end to end delay also. End to end delay
of fixed WiMAX node decreases slightly by change of
cyclic prefix factor.
PERFORMANCE EVALUATION OF WIMAX NETWORK
Now on mobile WiMAX case, end to end delay of thisnode decreases from a very high value to small value
when we change from 4 to 8, and then it changes slightly.
So, we can conclude that it decreases end to end delay of mobile WiMAX.
Hence, we can conclude that by increase in cyclic prefix
factor, we can improve throughput, jitter and end to enddelay.
Effect of Bandwidth [3]: Now we will check effect of
variation of bandwidth on throughput, jitter and end to enddelay.
It is known that increase in bandwidth increases ability to
include more number of subscriber nodes.
From figure 9, we can say that we have varied bandwidthto 5, 10, 15 and 20 MHz. And as we vary client node
throughput remains same. So, it is node affected at all.
Now when we see server nodes, fixed WiMAX node’s
throughput increases as we increase bandwidth and
achieves max value for 15 MHz.
But it decreases for 20 MHz. Similar is the case for themobile WiMAX node that its throughput increases to
higher value for 15 MHz and falls for 20 MHz.
It means that for this network, 15 MHz bandwidth isoptimum for our network.
Figure 9: Effect of Bandwidth on throughput
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Figure 10: Effect of Bandwidth on Jitter
AKGEC JOURNAL OF TECHNOLOGY, vol.1, no.2
From figure 10, we can say that jitter is also affected bychange in bandwidth. Jitter of server 1 and 2 both remains
almost constant for 5 to 15 MHz bandwidth. But it
decreases sharply for 20 MHz bandwidth. It means that jitter decreases as we increase bandwidth. So increase in bandwidth improves the jitter, which is desirable.
Figure 11: Effect of Bandwidth on Delay
From figure 11, we can see that end-to-end delay is also
affected by change in bandwidth. End to end delay of fixed WiMAX is less value for 5 MHz but it increases for
10 MHz and then it decreases sharply for higher values of bandwidth. It achieves minimum value for 20 MHz
bandwidth.
End to end delay of mobile WiMAX nodes decreases aswe increase the bandwidth. It has maximum value for 5
MHz bandwidth, and which in turn decreases to minimumvalue for 20 MHz. So, we can say that increase in
bandwidth decreases end to end delay of both mobile andfixed WiMAX nodes.
III. CONCLUSION
From various experiments mentioned, one can concludethat as a result of increase in the FFT size or bandwidth or
cyclic prefix factor for fixed WiMAX network, there is notsignificant change in performance of network.
But for mobile WiMAX network, increase in FFT size, bandwidth or cyclic prefix factor increases throughput,
decreases jitter and end-to-end delay of network. So,
optimizing all above parameters improves performance of network.
IV. REFERENCES[1] “Analysis of Fixed and Mobile WiMAX”, Umar Tarique,Umeer Jilani, Tuafique Siddiqui, Bleking Institute of
Technology.[2] Wireless communications, Andrea Goldsmith, StanfordUniversity, Cambridge University Press.
[3] Dissertation Report “Performance Evaluation of WirelessTechnologies using Qualnet Simulator”, Mitul R. Khandhedia,
C.U.Shah College of Engieering and Technology.[4] Qualnet 5.0 Wireless Model Library.
[5] Qualnet 5.0 Programmers’ Guide.[6]“Implementation of IEEE 802.16a in Glomosim” Benoit
Louzel, Dublin City University.[7] Qualnet 5.0 Developer Model Library.
M.R. Khandhedia obtained M.E.
(E.C) from Sauashtra University,
Rajkot, and B.E (I .C.) fromBhavanagar University in 2003.
Currently working as Sr. Lecturer and
Head of IC Dept. at Atmiya Institute
of Technology and Science, Rajkot,having seven years of teaching
experience, Published / presented
Five International Research Papers. He
is life member of ISTE. Areas of Interest are mobile communication,
control system, process control,
controller, system design and so on.
K.H. Wandra submitted PhD thesis
On Role of Wireless Technology for
Mobile Augmented Reality System.
Obtained ME Microprocessor System Applications from M.S.
University, Vadodara in 1999 andBE in Electronics and
Communication form North Gujarat
University, Patan in 1995.
Currently working as Professor and
Head of CE and IT at C. U Shah
College of Engineering and
Technology, Wdhwan, with over 13years of teaching experience.
Written over 10 Research Papers. Member of IEEE and CSI. Areas of
interest include wireless communication, networks and advancedmicroprocessors. He is Chairman of Board of Studies Computer
Engineering, Saurashtra University, Rajkot.
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D. N. Khandhar obtained ME
(EC) CSE from GujaratUniversity, Ahmedabad, and BE
(Power Electronics) from
Saurashtra University.
Currently working as Assistant
Professor at C. U. Shah College
of Engineering and Technology,
Gujarat having 11 years of
teaching experience. Published /
presented seven research papers.
He is Life member of ISTE.
Areas of Interest include mobile
communication, controllers and
VLSI. Nirav Khandhedia completed
Bachelor’s Degree in Electronics andCommunication Engineering from
Atmiya Institute of Technology and
Science, affiliated with Saurashtra
University, Rajkot, in June, 2008 withdistinction. He has 18 months of
experience in teaching as lecturer and
Assistant Professor in Nirma
University. Currently, working as aProject Engineer in Wipro
Technologies, Pune for 6 months.
Prepared final year Project on 32-bit
RISC Pipelined Processor. Guidedfive projects at undergraduate level.