Performance Analysis of MPEG-4 Video Stream with FEC Error Recovery over IEEE 802.11 DCF WLAN Cheng-Han Lin, Huai-Wen Zhang, Ce-Kuen Shieh Department of Electrical Engineering, National Cheng Kung University, Taiwan Wen-Shyang Hwang* Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Taiwan WiOpt - WiVid 2013
Performance Analysis of MPEG-4 Video Stream with FEC Error Recovery over IEEE 802.11 DCF WLAN Cheng-Han Lin, Huai-Wen Zhang, Ce-Kuen Shieh Department of.
Dec 29, 2015
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Performance Analysis of MPEG-4 Video Stream with FEC Error Recovery overIEEE 802.11 DCF WLAN
Cheng-Han Lin, Huai-Wen Zhang, Ce-Kuen ShiehDepartment of Electrical Engineering, National Cheng Kung University,
Taiwan Wen-Shyang Hwang*
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Taiwan
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Performance Analysis of MPEG-4 Video Stream with FEC Error Recovery overIEEE 802.11 DCF WLAN
Cheng-Han Lin, Huai-Wen Zhang, Ce-Kuen ShiehDepartment of Electrical Engineering, National Cheng Kung University,
Taiwan Wen-Shyang Hwang*
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Taiwan
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Outline
Introduction Proposed Analytical Model Numerical Results Conclusion
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Introduction
Wireless Local Area Network (WLAN) Convenience of wireless access The use of mobile devices is increasing The data rates and bandwidth are increasing Internet-based video streaming applications is popular
The performance analysis of video streaming over wireless networks has emerged as an important issue in the multimedia communications field.
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Introduction
Wireless Local Area Network (WLAN) Convenience of wireless access The use of mobile devices is increasing The data rates and bandwidth are increasing Internet-based video streaming applications is popular
The performance analysis of video streaming over wireless networks has emerged as an important issue in the multimedia communications field.
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Introduction
The literature contains many models based on a two-dimensional Markov chain for analyzing the performance of IEEE 802.11 DCF networks [7-10].
[7] The model assumed that unlimited retransmissions and no wireless bit errors.
[8] The frame retransmission limit is taken into consideration. The effects of wireless bit errors on the frame loss are ignored.
[9] The wireless bit errors is taken into consideration. The frame retransmission limit is ignored.
[10] A model analyzes the effects of both the frame retransmission limit and wireless bit errors.
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Introduction
The literature contains many models based on a two-dimensional Markov chain for analyzing the performance of IEEE 802.11 DCF networks [7-10].
[7] The model assumed that unlimited retransmissions and no wireless bit errors.
[8] The frame retransmission limit is taken into consideration. The effects of wireless bit errors on the frame loss are ignored.
[9] The wireless bit errors is taken into consideration. The frame retransmission limit is ignored.
[10] A model analyzes the effects of both the frame retransmission limit and wireless bit errors.
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Introduction
The [7-10] focus on the system performance, but do not enable the video quality over IEEE 802.11 DCF WLANs to be directly assessed.
[13] Playable Frame Rate (PFR), for analyzing the video quality of MPEG-4 video streaming over WLANs. The assumptions regarding the wireless transmission were overly simple.
[14] A more realistic model in which the effects on the frame losses of wireless channel errors and transmission collisions were both taken into account.
However, the models in [13-14] did not consider the effects of error recovery on the MPEG video streaming quality.
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Introduction
The [7-10] focus on the system performance, but do not enable the video quality over IEEE 802.11 DCF WLANs to be directly assessed.
[13] Playable Frame Rate (PFR), for analyzing the video quality of MPEG-4 video streaming over WLANs. The assumptions regarding the wireless transmission were overly simple.
[14] A more realistic model in which the effects on the frame losses of wireless channel errors and transmission collisions were both taken into account.
However, the models in [13-14] did not consider the effects of error recovery on the MPEG video streaming quality.
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Introduction
This paper proposes an analytical model for evaluating the performance of MPEG-4 video streaming over IEEE 802.11 DCF WLANs with FEC error protection. The model considers both congestion losses and wireless
channel losses. The model enforces the frame retransmission constraint
prescribed in IEEE 802.11. The model takes account of the FEC error recovery
performance in improving the perceived video quality at the receiver end.
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Introduction
This paper proposes an analytical model for evaluating the performance of MPEG-4 video streaming over IEEE 802.11 DCF WLANs with FEC error protection. The model considers both congestion losses and wireless
channel losses. The model enforces the frame retransmission constraint
prescribed in IEEE 802.11. The model takes account of the FEC error recovery
performance in improving the perceived video quality at the receiver end.
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Outline
Introduction Proposed Analytical Model Numerical Results Conclusion
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Proposed Analytical Model
1. Performance analysis of IEEE 802.11 DCF WLANs
The loss of a transmission frame can be caused by: Congestion loss (PC)
Wireless loss (PE)
The probability of frame transmission failure
ECECECf PPPPPPP 111
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Proposed Analytical Model
1. Performance analysis of IEEE 802.11 DCF WLANs
The loss of a transmission frame can be caused by: Congestion loss (PC)
Wireless loss (PE)
The probability of frame transmission failure
ECECECf PPPPPPP 111
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Proposed Analytical Model
Wireless loss (PE) Loss probability of data frame (PE_data)
Loss probability of ACK frame (PE_ACK)
ACKEdataEACKEdataEE PPPPP ____
lengthdatabitEdataE PP _
__ 11
lengthACKbitEACKE PP _
__ 11
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Proposed Analytical Model
Wireless loss (PE) Loss probability of data frame (PE_data)
Loss probability of ACK frame (PE_ACK)
ACKEdataEACKEdataEE PPPPP ____
lengthdatabitEdataE PP _
__ 11
lengthACKbitEACKE PP _
__ 11
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Proposed Analytical Model
Congestion loss (PC) The collision probability for any station competing for channel
access
The probability of an station transmits a frame [1]
m: maximum backoff stage
11
1
121211
1212
mff
mfminf
mff
PPPCWP
PP
111 nCP
[1] “Saturation throughput analysis of error-prone 802.11 wireless networks,” Wiley Journal of Wireless Communications and Mobile Computing 2005
Proposed Analytical Model
Congestion loss (PC) The collision probability for any station competing for channel
access
The probability of an station transmits a frame [1]
m: maximum backoff stage
11
1
121211
1212
mff
mfminf
mff
PPPCWP
PP
111 nCP
[1] “Saturation throughput analysis of error-prone 802.11 wireless networks,” Wiley Journal of Wireless Communications and Mobile Computing 2005
Proposed Analytical Model
The probability of a frame transmission failure
The effective failure probability of each frame
Tmax: maximum number of frame retransmission
1111 nEf PP
iTEC
iC
T
i
maxeffective
maxmax
PPPi
TP
1
0
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Proposed Analytical Model
The probability of a frame transmission failure
The effective failure probability of each frame
Tmax: maximum number of frame retransmission
1111 nEf PP
iTEC
iC
T
i
maxeffective
maxmax
PPPi
TP
1
0
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Proposed Analytical Model
2. Analytical model for MPEG-4 video streaming with FEC error recovery
The probability of a successful frame transmission
n: the total number of source frame (k) and redundant frame (h) k: the number of source frame
n
ki
ineffective
ieffectiveeffective PP
i
nPknB 1,,
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Proposed Analytical Model
2. Analytical model for MPEG-4 video streaming with FEC error recovery
The probability of a successful frame transmission
n: the total number of source frame (k) and redundant frame (h) k: the number of source frame
n
ki
ineffective
ieffectiveeffective PP
i
nPknB 1,,
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Proposed Analytical Model
The successful transmission probabilities of the I-, P- and B-frames in the GOP
effectiveBBRBB
effectivePPRPP
effectiveIIRII
PSSSBQ
PSSSBQ
PSSSBQ
,,
,,
,,
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SI, SP, SBNumbers of MAC I-, P-, and B-frames.
SIR, SPR, SBRNumbers of FEC redundant I-, P-, and B- frames.
Proposed Analytical Model
The successful transmission probabilities of the I-, P- and B-frames in the GOP
effectiveBBRBB
effectivePPRPP
effectiveIIRII
PSSSBQ
PSSSBQ
PSSSBQ
,,
,,
,,
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SI, SP, SBNumbers of MAC I-, P-, and B-frames.
SIR, SPR, SBRNumbers of FEC redundant I-, P-, and B- frames.
Proposed Analytical Model
Playable Frame Rate (PFR) A performance metric for evaluating the quality of video
streaming over lossy network. The ratio of the expected number of playable video frames
at the receiver to the total number of video frames transmitted by the sender.
BPI RRRR
RI, RP, RBPlayable frame rates of I-, P-, and B-frames over entire video sequence.
Proposed Analytical Model
Playable Frame Rate (PFR) A performance metric for evaluating the quality of video
streaming over lossy network. The ratio of the expected number of playable video frames
at the receiver to the total number of video frames transmitted by the sender.
BPI RRRR
RI, RP, RBPlayable frame rates of I-, P-, and B-frames over entire video sequence.
Proposed Analytical Model
The PFR of I-frames
The effective GOP transmission rate
Note that the PFR is computed on a per-second basis RF : the encoding frame rate per second
NP and NB : the number of P- and B-frames in the GOP
II QGR
BP
F
NN
RG
1
Proposed Analytical Model
The PFR of I-frames
The effective GOP transmission rate
Note that the PFR is computed on a per-second basis RF : the encoding frame rate per second
NP and NB : the number of P- and B-frames in the GOP
II QGR
BP
F
NN
RG
1
Proposed Analytical Model
The playable frame rate for P-frame
P
PP
NPIPPNPN
PIPPP
PIP
QRQRR
QRQRR
QRR
1
212
1
...
P
NPP
I
N
iPiP Q
QQQGRR
PP
1
1
1
Proposed Analytical Model
The playable frame rate for P-frame
P
PP
NPIPPNPN
PIPPP
PIP
QRQRR
QRQRR
QRR
1
212
1
...
P
NPP
I
N
iPiP Q
QQQGRR
PP
1
1
1
Proposed Analytical Model
The playable frame rate for B-frame
IBPiBij
BPiBij
QQRR
QRR
1
P
P
Niwhen
Niwhen
10
P
PPN
PIP
NPP
B
N
iIBPBiBPB QQ
Q
QQQQGNRNR
1
1
00
Proposed Analytical Model
The playable frame rate for B-frame
IBPiBij
BPiBij
QQRR
QRR
1
P
P
Niwhen
Niwhen
10
P
PPN
PIP
NPP
B
N
iIBPBiBPB QQ
Q
QQQQGNRNR
1
1
00
Proposed Analytical Model
P
PPN
PIP
NPP
BBPP
NPP
I
BPI
QQQ
QQQN
Q
QQQG
RRRR
111
11
The overall PFR for a FEC-Protected MPEG video stream is equal to the sum of the PFRs of the I-, P- and B-frames, respectively
Proposed Analytical Model
P
PPN
PIP
NPP
BBPP
NPP
I
BPI
QQQ
QQQN
Q
QQQG
RRRR
111
11
The overall PFR for a FEC-Protected MPEG video stream is equal to the sum of the PFRs of the I-, P- and B-frames, respectively
Outline
Introduction Proposed Analytical Model Numerical Results Conclusion
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Numerical Results
Simulation topology Parameter settings
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Packet payload (Ldata) 8184 bits Slot time 50 μsACK (LACK) 240 bits DIFS 128μsMAC header 272 bits SIFS 28μsPHY header 128 bits CWmin 32
Channel Data Rate 1 Mbps Tmax 5BEP (PE_bit) 10-5 CI 3.91
NP 3 CP 2.05NB 8 CB 1.52
……
……
Numerical Results
Variation of Playable Frame Rate with number of active stations
Bit Error Probability (BEP) = 10-4 Bit Error Probability (BEP) = 10-6
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Numerical Results
Variation of Playable Frame Rate with number of active stations
Bit Error Probability (BEP) = 10-4 Bit Error Probability (BEP) = 10-6
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Numerical Results
Variation of Playable Frame Rate with number of active stations
The maximum backoff stage (m) = 4 The maximum backoff stage (m) = 6
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Numerical Results
Variation of Playable Frame Rate with number of active stations
The maximum backoff stage (m) = 4 The maximum backoff stage (m) = 6
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Outline
Introduction Proposed Analytical Model Numerical Results Conclusion
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Conclusion
This paper has proposed an analytical model for evaluating the video quality of MPEG-4 video streaming over FEC-protected IEEE 802.11 DCF WLANs.
The proposed model considers the effects of congestion and wireless frame losses the performance of the FEC error recovery mechanism
The proposed model has been validated by comparing the predicted results the results obtained from NS-2 simulations two existing analytical models [8, 9].
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