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ISSN: 2278 – 1323 All Rights Reserved © 2015 IJARCET

Performance of

Internet Protocol TV

over WiMAX

Kunti Dagar, 1 Preeti Sharma2

M-Tech Student1, HOD 2 & Department of CSE & Delhi College of Technology & Management

Palwal, Haryana, India

Abstract The IEEE 802.16 technology (WiMAX) is a better option to wireless LAN or 3G networks for offering last mile connectivity by radio link because of its low cost of deployment, high data rates and large coverage region and Ease of Usage. With the IEEE 802.16e−2005 mobility amendment, WiMAX predicts to deal with the ever-growing demand for mobile high speed wireless data in next-generation (4G) networks. WiMAX provides support to several multimedia applications i.e. IPTV, VoIP and online gaming. Quality of Service is a necessary parameter to measure performance of any Network. Coupled with these increasing development rates and higher WiMAX throughput rates, Internet Protocol TV (IPTV), bandwidth intensive video on demand (VoD) and mobile TV services are rising in the forefront of the mobile region. In this paper, examining QoS parameters by using OPNET Simulator that influence on IPTV and IPTV over WiMAX i.e. Packet end to end delay, Packet delay variation, traffic sent (packets/sec) and traffic obtained(packet/sec) according to coverage region and number of IPTV connections. At the end of system simulation, results indicate that WiMAX increase number of IPTV connections and permit building IPTV transmission anywhere.

Keywords: Internet Protocol Television (IPTV); Worldwide Interoperability of Microwave Access (WiMAX); Physical and Media Access Control (MAC) Layers of WiMAX; OPNET Modeler 14.5.

I. INTRODUCTION

Worldwide Interoperability for Microwave Access (WiMAX) is the IEEE 802.16 family of standards that offer mobile and fixed broadband access in the telecommunications landscape. At first, WiMAX was utilized as a last mile broadband access solution, circumventing the important infrastructure costs of Digital Subscriber Line (DSL) and cable deployments. Presently, Mobile WiMAX has established WiMAX into next-generation (4G) mobile data networks competing for users demanding unprecedented steps of personalized, media-rich services. Accordingly, telecommunication carriers are observing heightened competitive challenges in an attempt to address these developing user demands. IPTV or Internet Protocol Television provides digital television to users through the Internet Protocol. This means video data are routed over the Internet in packets of data. It can then be collected on a server and routed to computers or particular set-top boxes across a broadband connection. In spite of this it is

not „„internet television‟‟ in the way that people are or will be browse their favorite web page to access television programmers. Instead, it is a method of providing information across a maintained network that provides consumers much greater control over their required information and entertainment experience [7]. Internet Protocol Television (IPTV), the convergence services of Internet and television, is being quickly developed across the world. The advent of digital techniques has altered the convergence market impressively with the broad diffusion of the convergent services. Utilizing the Technology Acceptance Model as a conceptual model and way of logistical regression, this paper examines the IPTV demand by drawing data from 452 consumers. Individual‟s replies to questions about whether they take IPTV are gathered and mixed with observations of their socio-economic status and intrinsic/extrinsic factors changed from the Technology Acceptance Model. Results of logistical regression display two variables (extrinsic and intrinsic factors) that viewed to describe what affects consumer behavior towards taking IPTV. Totally, the logistical regression model describes over 50% of the variance in the IPTV adoption. The variances beamed light on the multi-open platform environment that IPTV will form.

II. WIMAX OVERVIEW

WiMAX network is a developing standard for wireless access technology that offers QoS and high data rates over broad area. Now, a brief introduction to the MAC and physical layers of the WiMAX network follows.

2.1 The physical Layer of WiMAX

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[image:2.595.305.553.58.247.2]

QAM (Quadrature Amplitude Modulation) or PSK (Phase Shift Keying) i.e. BPSK (Binary Phase Shift Keying), QPSK (Quadrature Phase Shift Keying), 16QAM, and 64QAM. In fact, modulation is the method of converting a data stream into a form appropriate for transmission on the physical channel, and its performance is evaluated by the capability to keep the accuracy of the encoded data.

Fig. 1 WiMAX physical Layer Block Diagram.

2.2 The MAC Layer of WiMAX

In general, MAC, sub-layer of Data Link layer, provides support to channel access control mechanisms and addressing for network nodes or terminals to interact within a network. MAC of the WiMAX network is ran in a centrally controlled way, i.e. the resource distribution is dynamically handled by BS. The least resource allocation unit is known as a slot, which is configured by one sub-channel over one, two, or three OFDM symbols based on the subcarrier permutation strategy. A burst is a contiguous series of slots allocated to a specified subscriber and various MCS (Modulation and Coding Scheme) can be employed to it. Transmission rate on the slot is based on linked MCS and a tradeoff available between link throughput and robustness. In other words, the BER (Bit Error Rate) performance which endures from shadowing and fading in wireless channels is enhanced at the cost of bandwidth efficiency, as modulation becomes sparser and coding rate lower. In opposite way, higher coding rate and denser modulation offer higher data rates on the slot and enhance sensibility against wireless channel error. QoS is employed to scheduling and transmission of data around the PHY layer. Privacy sub layer offers secure key exchange, authentication and encryption on the MAC PDUs build from the MAC SDUs and passes them across to the physical layer [10].

Fig. 2 WiMAX MAC Layer Block Diagram.

III.IPTV

[image:2.595.40.268.148.331.2]

Functional block diagram of an IPTV application is shown in Fig. 3. Video servers/encoders collect audio/video (A/V) content which are encoded and packed from pre-recorded and live programs. Video servers/encoders are either distributed or centralized in core networks. Fig. 4displays the protocols stack for IPTV transmission. Audio/Video data from the source is encoded, compressed (mostly employing MPEG-2 encoding and compression standard) and is encapsulated as real time transport protocol (RTP).

[image:2.595.306.551.442.589.2]
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Fig.4. Protocol Stack for IPTV Transmission

IV. SIMULATION STATISTICS

The simulation was done to measure the performance of IPTV over the WIMAX networks. We employed the OPNET Simulator to help the usage of in-built models. Various scenarios are executed to study the impact of WiMAX on IPTV in comparison with IPTV itself. The model is composed of a whole WiMAX network that contains profile configuration, application configuration, WiMAX BS, WiMAX Configuration, video server and fixed WiMAX SS associated to BS. Application configuration to describe high resolution video application on it. Profile configuration to describe video application and provide it to every SS. WiMAX configuration to describe physical layer as an effective mode. WiMAX BS to allocate power to every SS and it associated directly to Video server to describe our application. These data transferred through IP32_Cloud to the other Campus network Eight scenarios will be talked about as displayed in table 2: (i) Scenarios from 1 to 4: In the first four scenarios, both of the subscriber stations (called and caller) were being static power and adaptive modulations strategy and both of the subscriber stations one of them is caller and the other one is called as a called network were being positioned at 10 km away from the BS at a different connections 1, 6, 12 and 25 connections. (ii) Scenarios from 5 to 8: In the four scenarios, both of the subscriber stations (called and caller) were being static power and adaptive modulations strategy, but we vary the coverage region on every scenario as 10 KM, 20 KM, 30 KM and 50 KM respectively.

Table 1: state of scenarios

No. of Scenario

Data State of

scenario

Scenario1 1 IPTV

connections over WiMAX

Scenario2 6

Scenario3 12

Scenario4 25

Scenario5 10 km IPTV

coverage Area over WiMAX

Scenario6 20 km

Scenario7 30 km

Scenario 50 km

V. RESULTS AND ANALYSIS

5.1 IPTV Connections over WiMAX

Scenarios 1, 2, 3 and 4 are configured at a static modulation strategy and highest power transmission in watt. This configuration displays a least value for system delay at various IPTV connections over WiMAX as follow:

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Fig.6.packet delay variation (Jitter [sec]) [IPTV Connections]

Fig.7. Average WiMAX Delay (sec)

Fig.8.Traffic Sent (packets/sec)(Accumulated data) [IPTV Connections over WiMAX]

Fig.9.Average Throughput (packets/sec) (Accumulated data) [IPTV]

Fig.10. Average Throughput (packets/sec) (Accumulated data) [IPTV Connections over WiMAX]

5.2 . IPTV Coverage Area over WiMAX

Scenarios 5, 6, 7 and 8 are configured at a static modulation strategy and highest power transmission in watt. This configuration displays a least value for system delay at various IPTV coverage regions across WiMAX as follow:

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[image:5.595.303.526.52.196.2]

Fig.12.packet End to End Delay (sec) [IPTV]

Fig.13.packet delay variation (packets/sec) [IPTV coverage area over WiMAX]

[image:5.595.305.545.239.400.2]

Fig.14.packet delay variation (sec) [IPTV]

Fig 15 Traffic Sent (packets/sec)(Accumulated data) [IPTV coverage area over WiMAX]

Fig16.Traffic Received (packets/sec)(Accumulated data) [IPTV coverage area over WiMAX]

[image:5.595.40.263.438.599.2] [image:5.595.304.544.444.600.2]
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Fig.18.Average Throughput (packets/sec) (Accumulated data) [IPTV coverage area over WiMAX]

Fig.19.Average Throughput (packets/sec) (Accumulated data) [IPTV]

CONCLUSION

Fouth generation networks with multiple technologies provide various multimedia services to the subscriber. In this study we form a wide simulation study to measure the impact of WiMAX on IPTV for supporting video streaming traffic. We have examined various significant critical parameters i.e. packet delay variation, end-to-end delay and throughput. Simulation results display that WiMAX permits making IPTV transmission from anywhere because it enhance coverage region and also increase number of IPTV connections, so WiMAX is the is the best technology to provide support to IPTV applications.

REFERENCES

[1] J. Hamodi, R. Thool, K. Salah, A. Alsagaf, and Y. Holba, “Performance Study of Mobile TV over Mobile WiMAX Considering Different Modulation and Cod-ing Techniques”, Int. J. Communications,Network and System Sciences, Vol.7, No.1, pp. 10-21, Jan. 2014.

[2] P. Telagarapu, G. Naidu, and K. Chiranjeevi, “Analy-sis of Coding Techniques in WiMAX”, International Journal of Computer Applications, Vol.22, No.3, pp. 19-26, 2011.

[3] Md. Islam, R. Mondal, and Md. Hasan, “Performance Evaluation of WiMAX Physical Layer under Adaptive Modulation Techniques and Communication Chan-nels”, International Journal of Computer Science and Information Security, Vol.5, No.1, pp. 111–114, 2009.

[4] Md. Islam, and T. Isalm, “Performance of WiMAX Physical Layer with Variations in Channel Coding and Digital Modulation under Realistic Channel Conditions”, International Journal of Information Sci-ences and Techniques, Vol. 2, No. 4, pp. 39-47, 2012.

[5] A. Rehman, T. Khan, and S. Chaudhry, “Study of WiMAX Physical Layer under Adaptive Modulation Technique using Simulink”, International Journal of Scientific Research Engineering & Technology, Vol.1, No.5, pp. 05-11, 2012.

[6]A. Abdennour, “VBR Video Traffic Modeling and Synthetic Data Generation Using GA-Optimized Volterra Filters”, International Journal of Network Management, Vol.17, pp. 231-241, 2006.

[7] H. Lee, T. Kwon, and D. Cho, “An enhanced uplink scheduling algorithm based on voice activity for VoIP services in IEEE 802.16d/e systems”, IEEE Communications Letters, Vol.9, No.8, pp. 691–692, 2005.

[8] So-In. Chakchai, R. Jain, and A. Al-Tamimi, “A Scheduler for Unsolicited Grant Service (UGS) in IEEE 802.16e Mobile WiMAX Networks”, IEEE Systems Journal, Vol.4, No.4, pp. 487-494, 2010.

[9] W. Hrudey and Lj. Trajkovic, "Mobile Wimax MAC and PHY layer optimization for IPTV," Journal of Mathematical and Computer Modeling, Elsevier, Mar. 2011, vol. 53, pp. 2119–2135.

[10] R. Gill, T. Farah, and Lj. Trajkovic, “Comparison of WiMAX and ADSL performance when streaming audio and video content,” OPNETWORK 2011, Washington, DC, Aug. 2011

[11] D.J. Reid, A. Srinivasan, and W. Almuhtadi, "QoS Performance Testing of Multimedia Delivery over WiMAX Networks," First International Conference on Data Compression, Communications and Processing (CCP), 2011, vol., no., pp. 271-274.

[12] W. Hrudey, and Li. Trajkovic, “Mobile WiMAX MAC and PHY layer optimization for IPTV”, Journal of Mathematical and Computer Modeling, Elsevier, Vol.53, pp. 2119–2135, 2011.

[13] R. Gill, T. Farah, and Li. Trajkovic, “Comparison of WiMAX and ADSL performance when streaming au-dio and video content”, Proc. OPNETWORK 2011, Washington, DC, Aug. 2011.

[14] J. Hamodi, and R. Thool, “Investigate The Perfor-mance Evaluation of IPTV over Wimax Networks”, International Journal of Computer Networks & Communications (IJCNC), Vol.5, No.1, pp. 81-95, 2013.

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