Quality of Service based packet scheduling to support video

e-ISSN : 0975-4024
T. A. Chavan et al. / International Journal of Engineering and Technology (IJET)
Quality of Service based packet scheduling
to support video streaming service for Next
Generation Wireless Mobile Network
Mr. T. A. Chavan, PhDScholar
Dr. P. Sarasu, Director R&D,
Dept. Of Computer Science & Engineering
Vel Tech Dr. Rr & Dr. Sr Technical
University, Avadi, Chennai, India
e-mail: sarasujivat@gmail.com
Abstract- Next generation wireless mobile networks is a vast area of research and has many design issues
like throughput, delay, packet loss, etc. which deals with data transmission and packet scheduling
techniques. Based on the above issues, we focus on data packet delivery based on priority and fairness
with minimum delay and jitter. In this proposed paper, we are dealing with packet scheduling of
multimedia and non-multimedia data based on priority. According to the application, real-time data
packet should be considered as a higher priority, and non-real-time data packet should be considered as a
lower priority. Packet scheduler is a decision-making algorithm that selects or drops the packet based on
the network load, packet size, bandwidth, and Packet arrival rate, the deadline of packets, quality of the
channel, signal to noise ratio (SNR), and type of traffic. Packet scheduling algorithm is the NP-complete
algorithm. It becomes very difficult to handle when all packets are coming in with high packet rate, high
packet size, and with low bandwidth. Therefore all the packets may not reach the destination or base
station. Some of the packets may be dropped due to these mentioned reasons of network characteristics.
Many packets scheduling algorithms are generally used to assurance packet data quality of service and
transmission rate in wireless mobile Network. In our proposed work longest waiting time first with the
fair scheduler and intelligent buffering techniques are used to enhance the quality of service of packet
scheduler in Next Generation Mobile Networks. The priority of longest waiting packets is increased for
fair scheduling of packets to avoid starvation. Intelligent or dynamic buffering technique is used to
reduce the packet loss or to drop of packets during peak time and weak signals of OFDMA channels. In
this technique buffer size is calculated dynamically based on network condition and adjusted as per the
evaluated value. For buffer size calculation it takes following parameters into consideration 1) packet
arrival rate 2) quality of signal and 3) bandwidth. The suggested packet scheduling algorithm constantly
updates the control parameter to follow an effective balance between the Quality of Service of video
flooding and the network throughput.
Keywords: Mobile networks, packet scheduling, multimedia data, video streaming, Quality of Service.
According to the ITU, Next Generation Wireless Mobile Network is a packet based network which can provide
various telecommunication and data services. NGN is also called Beyond 3G(B3G) network. The B3G network
architecture will progress to accommodate a wider range of users, applications, and economic deployment. NGN
also known as beyond 3G is to identify the next step in mobile wireless communications.
Following are the features of next generation wireless mobile networks:
1) The transition towards all IP based Network infrastructure.
2) Support of heterogeneous technologies (e.g.PSTN, Ad-hoc network, LANS, WiMAX, WiFi, etc.)
3) Seamless handoff through both homogenous and dissimilar wireless access technologies.
4) QoS support on the IP layer.
5) Use of policy-based mechanism to determine QoS accounting & billing mechanism for multimedia
6) Secure access to multimedia services across different networking environments.
7) Access to multimedia services in hybrid IPV4 or IPV6 based networks.
8) It will offer reliability, availability, security, and performance.
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T. A. Chavan et al. / International Journal of Engineering and Technology (IJET)
9) It accommodates more users per cell.
10) It supports for backward compatibility with existing wireless standards.
NGN will provide convergence of all types of media over IP such as voice, radio, TV and multimedia services.
Multimedia is a type of medium which is created by using more than one conventional medium. It is any blend
of text, images, audio, animation video delivered and manipulated by electronic means.
ICTs (Information and communication technologies) have expanded the scope of information control and
delivery. Through ICT it is now possible to let people experience simultaneously with more than one kind of
medium. When an individual is permitted to control multimedia delivery when, what, & how content is
presented, it is called interactive multimedia, e.g. Video game.
When an end user is presented with inter and intra-linked multimedia content through which he can navigate is
called as hypermedia or nonlinear multimedia. A piece of multimedia content is called linear if it has a
predefined beginning, source and end which cannot be altered for example watching a movie. We know that to
transmit the video of one second, we need 177MBPS bandwidth, which is commonly not available. Therefore,
audio-visual streaming service is one of the most important uses of the multimedia service. Video data is
becoming one of the most dominant traffic components over the network. It is very difficult to transmit the large
amount of video data over the low bandwidth wireless network. To improve the QoS of multimedia or video
data, the effective video Compression algorithms are used to overcome the bandwidth limitation. International
standards such as moving pictures expert group MPEG-1 MPEG-2[14] MPEG-4[15] AVC H.261 [16], H.263
[17], H.262 and H.264 [18] have been developed to accommodate different needs of ISO/IEC and ITU-T
In the Internet, multimedia applications can be classified into three major classes: 1) Streaming stereo-audio or
video for example movie 2) Streaming live audio or video for example live cricket match and 3) real-time
interactive audio or video, for example video conference. For the time-sensitive multimedia application timing
consideration hold most significance. If the packet of any video-audio application come across a delay of more
than some hundred milliseconds, they are essentially useless. Time-sensitive applications, such as online audio
or video areto a good extent loss tolerant, for example, web, Telnet, and file transfer applications. Elastic
applications are extremely sensitive to data loss and for them, completeness and integrity of data transferred are
invaluably precious [4].
We have organized this paper as follows: we presented WiMAX architecture in section II. Section III describes
a review of the work. The projected packet scheduling algorithm is presented in section IV. Results are
discussed in section V, and section VI concludes the paper with the future work.
In wireless mobile communication systems, wireless broadband WiMAX systems are major technologies in
near future. Mobile IP allows data handoff over different sub-networks. IPV6 is the next generation internet
protocol. The world is touching toward a convergence of voice, data and audio-visual. This heterogeneity will
expect inter-operability and very large data rate. So IEEE802 committee has set up the 802.16 working group in
1999 to develop wireless broadband standards. WiMAX offers wireless data transmission with the help of
different transmission modes such as portable, point to multi-point links and fully mobile internet access. This
technology provides up to 10 Mbps bandwidth without cables. The 802.16 technology is estimated to provide
inexpensive access having ubiquitous broadband access with integrated data and audio-video services. The
most important benefit of wireless broadband technology is that the networks can be created in two to three days
by developing a small number of base stations at buildings to create high capacity wireless access systems. The
wireless network can grow as the demand increases.
The IEEE 802.16 regulates the air-interface and associated functions related with WLL. Three working groups
have been formed to produce the following standards:
1) IEEE 802.16.1- Air interface for 10 to 66 GHz.
2) IEEE 802.16.2-coexistence of broadband wireless access systems.
3) IEEE 802.16.3-Air interface licensed frequencies 2 to 11 GHz.
4) Extensive radio spectrum is available in the frequency band from 10 to 66 GHz worldwide. In
business scenario, 802.16 can serve as a backbone for 802.11 networks.
IEEE 802.16 standards are related to the air interface between a subscriber’s transceiver station and base
transceiver station. The 802.16 standards are organized into three layer architecture as shown in the figure 1.
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T. A. Chavan et al. / International Journal of Engineering and Technology (IJET)
1) The physical layer: This layer specifies the frequency band, the modulation schemes, error correction
techniques, synchronization among data rate, transmitter and receiver and the multiplexing technology.
WiMAX network supports number of transmission types at physical layer such as single carrier (SC)
type, OFDM&OFDMA types. In the OFDM system Forward Error Correction (FEC) coding scheme is
used to decrease the rate of error in the transmitted data stream. Reed-Solomon concatenated with
convolution code is compulsory for all WiMAX networks. The final data block is categorized into
various parallel low-speed data blocks and mapped to an individual data sub-carrier. Then modulated
with the help of either Phase Shift Keying (PSK) or Quadrature Amplitude Modulation (QAM) such as
Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), 16 QAM, and 64 QAM.
Thus the modulation is the process of translating data blocks into a suitable transmission form over the
physical medium. Modulation and coding rate combination of WiMAX OFDMA are shown in Table 1.
Table1. Modulation and coding rate combination of WiMAX OFDMA (Source wireless network 2011)
Overall coding rate
CC code rate
RS code rate
2) The MAC (Media Access Control) layer: The MAC layer is responsible for the transmission of data
in frames, and it controls the access to a shared wireless medium through media access controls (MAC)
layers. The MAC protocol defines how and when a base station or a subscriber station may initiate
transmission on the channel.
3) Convergence layer: The convergence layer above the MAC layer provides functions specific to the
services provided to upper layers. The IEEE 802.16.1bearer service consists of digital audio-video
multicast, digital telephony, Asynchronous Transfer Mode, Internet access, wireless trunks in frame
relay, and telephone networks.
1) A subscriber sends wireless traffic at a speed ranging from 2 Mbps to 155 Mbps bits/secfrom a fixed
antenna on a building.
2) The base station gets transmissions from several sites and drives these traffic through wired or
wireless links to a packet switching center using the standard 802.16.
3) The switching-center directs traffic to an ISP, or the PSTN (Public Switched Telephone Network).
In the MAC layer of WiMAX, the resource allocation is dynamically managed by the base station.
WiMAX network can control the modulation and coding scheme (MCS) of each mobile subscriber
according to the wireless channel status to improve resource utilization. The Base station collects the
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channel quality indication (CQI) of all subscribers, and then decides on an MCS for each user using the
own algorithm. This is critical to improving the overall performance of the WiMAX network. Hence, it
is an important issue that how many slots are allocated to each user based on the determined MCS. This
means that admission of call and packet scheduling techniques are required to enhance the QoS of
NGN networks.
To support constant video streaming service with high network utilization, packet scheduling, and call
admission control algorithms are required. CAC and packet scheduling algorithm have a strong dependency on
each other. Packet scheduling technique decides which packet will be scheduled next as per max SNR and PF
(Proportional Fair) [11, 12]. Max SNR is based on the best wireless channel condition to select the subscriber to
maximize network throughput. The PF method considers long-term average channel condition to maximize the
long-term throughput. However these methods do not guarantee QoS.
The research paper [3,9] considers the state of the wireless link between the users and analyze the tolerable
queuing delay at the base station. For QoS support in this paper, exponential function maintains queuing delay
below the predefined maximum delay.
The paper [22] adaptively controls maximum tolerable delay in which network resources are not allocated to
time services even if their delay is less than the maximum delay.
The research paper [23] allocates resources to non-real time service if the current delay is less than deadlines of
real time services. The Call admission control algorithms decide whether the new call should be accepted or
The research paper [6, 7,8, 21]avoids the degradation of the QoS of low priority sessions using adaptive
admission controller based on types of service. In these papers, the call request is classified into new or Handoff
call or real-time or non-real-time traffic to assign the priorities.
To improve the QoS and network throughput, we need to consider the admission of call & packet scheduling
algorithm in the presence of various traffic characteristics and the time-varying wireless channel characteristics
In the paper [10], users are accepted based on the queuing model that determines the connection acceptance
The paper [1, 2] presented a joint packet scheduling and call admission control algorithm based on a statistical
approach to handling both real-time and non-real-time traffic. This combined algorithm performs their functions
by using estimated remaining data volume of the video buffer. In this paper, we propose packet scheduling
algorithms for constant video streaming service with high network efficiency over the next generation wireless
mobile network (WiMAX network).
The distinctive feature of the suggested algorithm is that packet scheduling algorithm calculates the network
throughput, delay, and packet loss based on control parameters. It is continuously adjusting and checking to
provide the good quality of video for the subscriber and to optimize the network throughput, delay, and packet
The main objective of the projected work is to improve the QoS of video streaming services and the network
utilization over WiMAX network. The main use of the proposed system is a video on demand streaming service
which is the example of real-time polling service class [19]. According to the IEEE 802.16 standard, it uses two
OFDM symbols spread over 24 subcarriers called Physical Resource Blocks (PRBs).The base station can
classify incoming flows according to their scheduling service classes and stores them at each buffer after
admitting the packet of the rtps service class. Then it is determined their transmission priority with the help of
packet scheduling algorithm of the rtps service class. To present our work, we assume that WiMAX standard
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T. A. Chavan et al. / International Journal of Engineering and Technology (IJET)
does not specify how to operate packet scheduling and in WiMAX a fixed number of slots are dedicated to the
rtps traffic. Fig2 shows the Architecture of Packet scheduling Algorithm.
Fig2: Architecture of Packet scheduling Algorithm
The proposed packet scheduling algorithm selects the subscriber ui from admitted subscribers with the
maximum value of the following equation as the next in-service subscriber.
Whereas Wi is the largest weighted time first of user i, the Nss is the total users in the cell and the bufferi (t) (the
buffer urgency) is the buffer occupancy of the ith user at time t and BW (mcsi(t)) is a bandwidth of ith user at time
‘t’ when mcsi(t) is chosen where mcs is the modulation and coding scheme. This is based on the CQI which
relates to the signal to interference and noise(S/I) ratio in WiMAX network, Word error indication (WEI), and
Received signal strength indication (RSSI). So size of buffered data is not a proper measure for stable video
streaming quality. The number of video pictures stored at the buffer is a more reasonable measure. The
buffering urgency called intelligent buffering technique can be stated as
,0 ,
Here TTh is the threshold value for smooth video streaming over a time-varying wireless network, and fi (t) is
the number of video frames or pictures kept in the buffer at time t. When the number of buffered video pictures
is larger than TTh, a user starts video playing.
The λ can be adaptively controlled and the packet scheduling algorithm can work together. If λ increases, the
urgency of buffering becomes more heavily weighted than that of the wireless channel condition, and vice versa.
The transmittable data is denoted by
for the next WiMAX frame, this can be calculated by
Here nslot is the number of slots allocated to the i*th user for next WiMAX frame. λ plays an important role in a
weighting factor between the buffering urgency and the network utilization. If λ decreases then the average
The proposed packet scheduling algorithm controls packet arrival rate λ based on the detected average buffer
freezing rates(buffer size) of subscribers and total target buffer freezing rate, i.e.
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= number of pictures in a sliding window,
Where BFtarget= pre-determined target Buffer freezing rate,
NSS=size of sliding window, and Pifrozen =the number of frozen pictures of the ith subscriber in the window and k
is constant.
For the simulation of our proposed work NS-2[20] is used for WiMAX network. Initially, 29 subscribers are
equallyspread in the cell and moving by the Tow Ray Ground model. And, a streaming service request from 29
subscribers is generated every 2second after the start of service. The simulation parameters are set as shown in
Table 1.
table1simulation parameters for ns2
Channel bandwidth (Mbps)
Simulation Time (Sec)
Cell Radius (Meter)
Speed (m/s)
Interval (Sec)
Frame Structure
Maximum Delay (Sec)
Video Frame Size (bytes)
Scheduling Flow / Traffic Type
Actually, Proportional Fair(PF),Round Robin(RR), MLWDF, and EXP/PF algorithms show a similar results.On
the other hand, the projected algorithm selects next in service user by considering the intelligent video buffering
urgency and the wireless signal status. Packet delays of video flows for rtps traffic, reported in fig.3
demonstrates that for video flows, in case of existing algorithms the packet delay increases as compared to our
proposed largest weighted time first algorithm with intelligent buffering technique. The averagethroughput for
video flows of rtps calls are shown in fig.4. The average throughput improves with our proposed method as
compared to existing packet scheduling algorithms. The Packet Delivery Ratio (PDR) experienced by video
flows are demonstrated in fig.5, illustrates that PDR rises in our proposed method which is improved one as
compared to existing algorithms.
Fig. 3: Interval vs Delay
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Fig.4: Interval vs Throughput
Fig. 5: Interval vs PDR
From the results, we can conclude that the largest weighted time first scheduler is the best when talking about
the fairness of the users no matter how many users we have in the cell. Developing efficient algorithms for
WiMAX OFDMA in next generation wireless systems is an interesting path of research. However, it is also a
big challenge for a simulation tool which can combine the complexity of the physical layer and the MAC layer,
in investigating resource allocation and scheduling of these systems. NS3 may be suitable for higher layer
investigation of this topic. When the users speed increases the performance of these scheduling algorithms drops
remarkably. Our proposed scheduling model for next generation wireless mobile network shows much better
performance than other existing scheduling algorithms regarding throughput, maximum delay, and packet
delivery ratio of user packets.
It is of particular interest to assess the performance of other scheduling schemes such as Proportional Fair,
round robin, and EXP/PF algorithms in 3GPP LTE using a cross-layer approach. However, we state that the
proposed model can be extended for live video streaming with real time traffic estimation and monitoring
scheme for ad-hoc network.
I would like to take this opportunity to express my profound gratitude and deep regard to my supervisor Prof. Dr.
P. Sarasu for her exemplary guidanc, valuable feedback and constant encouragement throughout the duration of
this research article. Working under her is an extremely knowledgeable exprience for me. I would like to
express my sincere thanks to Prof. Dr. P. Anandhakumar, Professor and Head, Computer Technology, MIT
Campus,Anna University, Chennai for his constant support, guidanc, valuable suggestions and encouragement
for this research article. I would also like to express my gratitude towards Mr. V. S. Bidve and Mr. D. A.
Mesram for their kind cooperation and support which helped me in completion of this research article.
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Mr. T. A. Chavan MTECH Computer Engg, PhD pursuing at VelTech Dr. RR Dr. SR Technical University,
Avadi, Chennai working as asst. Professor, at Smt. Kashibai Navale College of Engg Pune having 15+ years of
teaching exprience in engg college.
Prof. Dr. P. Sarasu working as R & D Director at VelTech Dr. RR Dr. SR Technical University, Avadi,
Chennai having 20 + years of teaching exprience in engg college.
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