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Link Rate Estimation and Adaptation for VoWLAN with Mobility

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Presentation on theme: "Link Rate Estimation and Adaptation for VoWLAN with Mobility"— Presentation transcript:

1 Link Rate Estimation and Adaptation for VoWLAN with Mobility
Student: Yann-Huei Li Advisor: Dr. Ying-Dar Lin 2019/5/18 Speed Lab

2 Outline Background Problem statement Related works Solution
VoWLAN – Voice over WLAN Sustainable Rate Metrics – MOS and Medium Consumption Problem statement Related works Solution Estimating Sustainable Rate: RTQ Adapting Retransmission Rate: RTQ Performance Evaluation Conclusions Future Works Reference 2019/5/18 Speed Lab

3 Background – VoWLAN: VoIP over WLAN
Concerns of VoWLAN Transmission quality? MOS Service capacity? Medium consumption Rate selection (for quality maintenance): Sustainable rate determination Initial & retransmission rate selection 2019/5/18 Speed Lab

4 Background – Metrics: MOS and Medium Consumption
MOS (Mean Opinion Score): Quality of received media after transmission. Range 1 to 5, 5 = best quality. Range for VoIP: 3.5~4.2 Medium Consumption (MC): (function) Lower MC --> more capacity Tradeoff between link rate & MC 2019/5/18 Speed Lab

5 Background - Sustainable Rate
Sustainable rate (Rs): the transmission rate with satisfied quality and highest utilization of the channel. Let Rt represent current rate, If Rt > Rs: error rate↑, retransmissions↑, MC↑, MOS↓. If Rt < Rs: MOS is fine, but MC↑. Value of Rs varies due to mobility 2019/5/18 Speed Lab

6 Problem statement Environment: Goal: VoWLAN with mobility
Selecting the rate closest to sustainable rate, i.e. satisfying certain MOS with minimum MC, as fast as possible. Current rate unsuitable, select better rate. Rate adaptation based on Traffic Quality (RTQ). 2019/5/18 Speed Lab

7 Initial rate selection
Related Works Passive Active # of Succ. TX # of Failure TX RTT Congestion Medium condition Initial rate selection Sample rate Increase rate ARF, Onoe (with credit), PLC Vega like ARC Decrease rate ARF, Onoe (with credit) Maintain rate PLC Notation: ARF: Auto Rate Fallback PLC: Packet Loss Classification ARC: Audio Rate Control 2019/5/18 Speed Lab

8 Step 1 – Sustainable rate discovery (RAVTQ)
By simulations, Given factors: distance (SNR), Link rate R Calculated factors: MOS value, MC (in % of the medium capacity) MC MOS factor Link rate (at fixed voice codec) 1Mbps 2Mbps 1Mbps Link rate (at fixed voice codec) 2Mbps Distance Distance 2019/5/18 Speed Lab

9 Step 1 – Sustainable rate discovery (RAVTQ) (cont.)
Need to find R, such that At certain SNR, MOS = 3.5~4.2 and minimum MC Link Rate (in Mbps) SNR 2019/5/18 Speed Lab

10 Simulation - Input Traffic
NS-2’s traffic input requirement: Packet send time Packet size Popular VoIP codec: G.711: 8kHz sampling, 32kbps stream G.723.1: 8kHz sampling, 5.6/6.3kbps stream G.729: 8kHz sampling, 8kbps stream CBR, Exponential on/off 2019/5/18 Speed Lab

11 Rates’ MOS vs Distance 2019/5/18 Speed Lab

12 Rates’ MOS vs SNR 2019/5/18 Speed Lab

13 Rates’ MC vs Distance 2019/5/18 Speed Lab

14 Rates’ MC vs SNR 2019/5/18 Speed Lab

15 Sustainable Rate VS Distance
2019/5/18 Speed Lab

16 Sustainable Rate VS SNR - Rs(SNR)
2019/5/18 Speed Lab

17 Step 2 – Initial & Retransmission rate selection (RTQ)
Initial rate = Rt = Rs(SNR) Retransmission rate: Rate adjustment based on current MOS. 2019/5/18 Speed Lab

18 Performance Evaluation - Fixed distance
2019/5/18 Speed Lab

19 Performance Evaluation - with Mobility
2019/5/18 Speed Lab

20 RBAR thresholds 2019/5/18 Speed Lab

21 Rate Variance with Mobility
2019/5/18 Speed Lab

22 MOS Variance with Mobility
2019/5/18 Speed Lab

23 Conclusions Fixed distance: Mobility condition: RAVTQ MOS ≒ ARF MOS
RAVTQ MC < ARF MC (mostly) Mobility condition: RAVTQ MC < ARF MC 2019/5/18 Speed Lab

24 Future Works - MOS of Different Codec
2019/5/18 Speed Lab

25 Future Works – MC of Different Codec
2019/5/18 Speed Lab

26 Future Works - Comparison of Average Rate under multiple MS nodes
2019/5/18 Speed Lab

27 Reference T. Branskich, N. Smavatkul, and S. Emeott, “Optimization of a Link Adaptation Algorithm for Voice over Wireless LAN Application,” IEEE Communications, 2005. C. W. Huang, A. Chindapol, J. A. Ritcey, and J. N. Hwang, “Link Layer Packet Loss Classification for Link Adaptation in WLAN,”. S. Pal, S. R. Kundu, K.Basu, and S. K. Das, “IEEE Rate Control Algorithms: Experimentation and Performance Evaluation in Infrastructure Mode,”. A. Trad, Q. Ni, and H. Afifi, “Adaptive VoIP Transmission over Heterogeneous Wired/Wireless Networks,” 2004. 2019/5/18 Speed Lab

28 Reference (cont.) M. Lacage, M. H. Manshaei, and T. Turletti, “IEEE Rate Adaptation: A Practical Approach,” Oct 2004. J. Matta, C. Pepin, K. Lashkari, and R. Jain, “A Source and Channel Rate Adaptation Algorithm for AMR in VoIP Using the Emodel,” June 2003 M. Bandinelli, F. Chiti, R. Fantacci, D. Tarchi, G. Vannuccini, “A Link Adaptation strategy for QoS support in IEEE e-based WLANs,” IEEE Communications, 2005 Z. Qiao, L. Sun, N. Heilemann, and E. Ifeachor, “A new method for VoIP Quality of Service Control use combined adaptive sender rate and priority marking,” IEEE Communications, 2004 2019/5/18 Speed Lab


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