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Cooperative Layered Wireless Video Multicast

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Group 1. Group 2. Extended Group 2. Received Video Rates. T1. T2. T2. T. Design Variables ... We define amax as the maximum angle which satisfies the ... – PowerPoint PPT presentation

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Title: Cooperative Layered Wireless Video Multicast


1
Cooperative Layered Wireless Video Multicast
  • Ozgu Alay, Thanasis Korakis,
  • Yao Wang, Elza Erkip, Shivendra Panwar

2
Introduction
  • Video multicast over wireless channels
  • Wireless video applications are emerging
  • Multicast is effective
  • Wireless video multicast is still a challenging
    problem
  • High packet loss rate
  • Bandwidth variations
  • Cooperation is a natural solution
  • Higher spatial diversity
  • Adaptive to network conditions

3
Prior Work Cooperation for Unicast
  • physical-layer cooperation for point-to-point
    video communication
  • Single-layer cooperation
  • layered cooperation
  • MAC-layer cooperation for point-to-point
    communication

4
Why Cooperative Multicasting ?
  • Each receiver has different channel quality
  • Conventional Multicast
  • Source transmits based on furthermost receiver
  • the receivers with a good channel quality
    unnecessarily suffer and see a lower quality
    video .

5
Why Cooperative Multicasting ?
  • Cooperative Multicast
  • Divide all the receivers into two groups such
    that receivers in Group 1 have better average
    channel quality than Group 2
  • Sender targets receivers with good channel
    quality (Group1)
  • These receivers relay the video to other
    receivers (Group2)
  • It is likely that we achieve a larger coverage
    area (Extended Group 2).
  • Both groups see better quality

6
Received Video Rates
T
T1
T2
T2
7
Design Variables
  • Number of relays N
  • Sustainable rates (R1, R2) or transmission ranges
    (r1, r2)
  • Time partition (T1, T2)
  • N controls the tradeoff between R2 and T2
  • How to optimize?
  • Maximize the average quality
  • All users have same quality
  • Group1 has better quality

8
Approach
  • For a particular (r1, r2) we determine the
    optimum (T1, T2) and N in two steps.
  • We first determine the user partition with a
    minimum number of relays.
  • Then for this user partition, we find the optimum
    T1 and T2 (time scheduling) that maximizes the
    system performance index
  • By repeating the above procedure for all possible
    (r1, r2) we find the optimum user partition and
    time scheduling that maximizes the performance
    criterion.

9
User Partition
  • Goal Find minimum number of relays N that covers
    all the users
  • User partition is defined by (r1, r2) and the
    separation angle a where,
  • N 2p/2a

10
User Partition
  • We define amax as the maximum angle which
    satisfies the constraints below,

11
Optimum User Partition
  • a is maximum when
  • Then, using cosine theorem

12
Optimum User Partition
  • Then N is,
  • And rext can be computed as

13
Time Scheduling and Performance Metric
  • We use exhaustive search over a discretizied
    space of feasible T1 and T2, for each candidate
    T1 and T2, determine Rv1 and Rv2 and
    correspondingly D1 and D2.
  • Here D1(Rv1) is the distortion of Group 1
    receivers and D2(Rv2) is the distortion for Group
    2 receivers.

14
Minimum Average Distortion
  • N1 and N2 are the number of users in Group 1 and
    Group 2, respectively.

15
Equal Distortion at all users
  • We require all the receivers have the same
    distortion.
  • In other words, we find the optimum user
    partition and time scheduling that minimizes
    D1(Rv1) D2(Rv2).

16
Best Quality at Group 1 users
  • Considering that relays are spending their own
    resources to help others,
  • We find the optimum user partition and time
    scheduling that minimizes D1(Rv1) while
    guaranteeing Rv2 bRd

17
Sustainable Rates vs. Distance with IEEE 802.11b
r161m, R111 Mbps r272m, R25.5 Mbps r3100m,
R31 Mbps
18
Example Scenario
  • 802.11b based WLAN
  • Uniformly distributed users within 100m radius
    (r100m)
  • Achievable rate with direct transmission to all
    users,
  • Rd 1 Mbps
  • b0.75
  • Soccer
  • 704x576 resolution
  • 240 frames

19
Performance
20
Visual Quality
  • 750 kbps ( 29.84 dB )

1.178 Mbps ( 30.42 dB )
3.75 Mbps ( 33.32 dB )
21
Conclusion
  • User cooperation can improve the quality of
    service in video multicast
  • Equal quality at all users
  • Better quality at selected users
  • All better than direct transmission
  • Optimization of relay selection, user partition,
    and transmission scheduling depends on the chosen
    multicast performance criterion
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