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Centralized Resource Allocation for Multimedia Traffic in IEEE 802'16 Mesh Networks

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The number of packets under subtree TFi fits exactly into one time frame ... A deadline-based logic are considered essential for supporting real-time traffic ... – PowerPoint PPT presentation

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Title: Centralized Resource Allocation for Multimedia Traffic in IEEE 802'16 Mesh Networks


1
Centralized Resource Allocation for Multimedia
Traffic in IEEE 802.16 Mesh Networks
  • S. Xergias, N. Passas, and A.K. Salkintzis
  • Proceeding of IEEE, 2008

2
Outline
  • Introduction
  • IEEE 802.16 Broadband Access Network
  • Extended Frame Registry Tree Scheduler
  • Simulation
  • Conclusions

3
Introduction
  • IEEE 802.16
  • Metropolitan environment
  • Point-to-multipoint mode
  • Mesh mode
  • Supports QoS
  • Enhanced Frame Registry Tree Scheduler (E-FRTS)
  • Avoid complex computation

4
IEEE 802.16 Broadband Access System
  • Physical layer
  • 10-66 GHz and below 11 GHz
  • Data rate between 32 to 130 Mbps
  • Operation modes
  • Point-to-Multipoint (PMP)
  • Centralized and Distributed mesh
  • Base station (BS for PMP, and MBS for mesh)
  • SS
  • MSS

5
IEEE 802.16 Broadband Access System
  • Time-division duplex (TDD)
  • Frequency-division duplex (FDD)
  • Time frame for TDD
  • 0.5, 1 or 2 for PMP mode
  • 2.5, 4, 5, 8, 10, 12.5, or 20 ms for mesh mode
  • Coding and modulation may be adjusted
    individually for each SS on a frame-by-frame
    basis

6
IEEE 802.16 Broadband Access System
  • PMP mode
  • DL-MAP and UL-MAP
  • Mesh mode
  • DL-MAP and UL-MAP are combined in one control
    message
  • Mesh centralized scheduling (MSH-CSCH) for
    centralized mesh mode
  • Mesh distributed scheduling (MSH-DSCH) for
    distributed mesh mode

7
IEEE 802.16 Broadband Access System
  • Data bit are randomized, forward error correction
    encoded, and mapped to one of the mandatory
  • Spread binary phase-shift keying (BPSK)
  • Quadrature phase-shift keying (QPSK)
  • 16-quadrature amplitude modulation (QAM)
  • 64-QAM
  • 256-QAM (optional)

8
IEEE 802.16 Broadband Access System
  • Scheduling service and QoS in IEEE 802.16
  • Unsolicited grant service (UGS)
  • Real-time polling service (rtPS)
  • Non-real-time polling service (nrtPS)
  • Best effort service (BE)
  • Enhanced rtPS (ertPS)

9
Extend Frame Registry Tree Scheduler (E-FRTS)
  • The traffic schedulers for TDD system
  • Schedule complete before the beginning of each
    time frame
  • Efficient traffic scheduling implies complex
    calculations
  • More expensive hardware

10
Extend Frame Registry Tree Scheduler (E-FRTS)
  • The basic idea
  • Schedule the transmission of each piece of data
    in the last time frame before its deadline
  • The main objectives
  • Each frame has its transmissions organized in
    modulation order from BPSK to 256-QAM
  • A per QoS service treatment of the transmissions
    should be possible
  • Data packets transmission should be based on
    their deadline
  • Changes in network topology, node modulation, or
    QoS service should be possible with minimum
    processing effort

11
Extend Frame Registry Tree Scheduler (E-FRTS)
  • 1st level different neighborhood
  • 2nd level time frames immediately following the
    present one, in a sequential order

12
Extend Frame Registry Tree Scheduler (E-FRTS)
  • 3rd level the direction (uplink or downlink)
  • 4th level different sectors where the children
    SSs belong to
  • 5th level the available modulation types
  • 6th level connections are organized per SS
  • 7th level the number of data packets scheduled
    for transmission in that time frame

13
Extend Frame Registry Tree Scheduler (E-FRTS)
  • The scheduler operation
  • Packet/Request Arrival
  • C(Pi) is the connection that packet Pi belongs to
  • H(C(Pi)) is the number of hops to the destination
    of C(Pi)

14
Extend Frame Registry Tree Scheduler (E-FRTS)
15
Extend Frame Registry Tree Scheduler (E-FRTS)
16
Extend Frame Registry Tree Scheduler (E-FRTS)
  • Frame Creation
  • Which is responsible for deciding on the contents
    and structure of the next time frame of all
    neighborhoods
  • The number of packets under subtree TFi fits
    exactly into one time frame
  • The number of packets under subtree TFi is less
    than the capacity of a time frame
  • The number of packets under subtree TFi is more
    than the capacity of a time frame
  • nrtPS and BE packets can be moved to the next
    time frame
  • UGS, ertPS, and rtPS some of them should be
    rejected

17
Simulations
  • Multiple Traffic Types Scenario
  • One UGS with constant data rate of 64 Kbps and
    latency equals to 20ms
  • One rtPS with mean data rate 256Kbps and latency
    equals to 40ms
  • One nrtPS with mean data rate of 128Kbps
  • One BE with mean data rate of 128Kbps

18
Simulations
  • Time frame sets to 1ms and the packet size sets
    to 54 bytes
  • The modulation is 64-QAM for SS
  • The transmission speed of BS is 120Mbps
  • The simple scheduler uses FIFS to serve the
    packets

19
Packet losses per service type
20
Mean delay per service type
21
Throughput per service type
22
Simulation
  • Multicast Scenario
  • One voice connection of type adaptive multi-rate
    (AMR)
  • One real-time compressed video connection
  • Half of the SSs belonged to multicast group
  • Two multicast cases were tested

23
The simulation example
  • Unicast
  • AMR voice
  • ON-period
  • 4.75, 10.2, and 12.2 Kbps
  • OFF-period
  • 1.95Kbps
  • Latency is 30 ms
  • Real-time video
  • rtPS
  • Min bit rate from 64 to 128 Kbps
  • Max bit rate from 256 to 512 Kbps
  • Latency is 40 ms

24
Simulation
  • Multicast
  • rtPS
  • Min bit rate from 1 to 2 Mbps
  • Max bit rate from 2 to 4.5 Mbps
  • Latency is 50 ms

25
Simulation
26
Simulation
27
Conclusion
  • A deadline-based logic are considered essential
    for supporting real-time traffic
  • Reduce data fragmentation and physical overhead
    due to modulation changes
  • QoS classification is attained by transmitting
    high-priority before low-priority
  • Starting from low priority when packets have to
    be rejected
  • The scheduler maintains low computational
    complexity by distributing the required
    processing in time
  • Simulation results show that distributed
    multimedia traffic can be efficiently served with
    a reasonable number of hops
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