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CSI-SF: Estimating Wireless Channel State

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CSI-SF: Estimating Wireless Channel State Using CSI Sampling & Fusion Riccardo Crepaldi , Jeongkeun Lee , Raul Etkin , Sung-Ju Lee , Robin Kravets – PowerPoint PPT presentation

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Title: CSI-SF: Estimating Wireless Channel State


1
CSI-SF Estimating Wireless Channel State Using
CSI Sampling Fusion
Riccardo Crepaldi, Jeongkeun Lee, Raul Etkin,
Sung-Ju Lee, Robin Kravets University of
Illinois at Urbana-Champaign Hewlett-Packard
Laboratories
Improving Performance in High Speed Wireless
Channel Quality Metrics
  • How do systems describe the channel quality?
  • Pros
  • Finer granularity compared to SNR
  • Fading and phase shift information for each
    subcarrier
  • Tighter bound with channel performance
    Halperin10
  • Cons
  • PHY Layer enhancements
  • MIMO technology
  • OFDM
  • Channel Bonding
  • Adaptive protocols for
  • Rate adaptation
  • Channel selection
  • Optimal antenna scheme selection
  • Best AP selection
  • Choices based on
  • Channel quality

N Input streams
M spatial streams
Signal-to-Noise Ratio (SNR) One scalar value per
packet Accurate only for narrow-band channel
Channel State Information (CSI) M x N x W
complex matrix W Number of OFDM
subcarriers Current 802.11n devices M3, N3
W56 (20MHz) or W114 (40MHz)
Why CSI?
CSI Matrix Combining
  • CSI-SF enables estimation of uninvestigated
    channel configurations
  • A real networking problem Rate Adaptation
  • Metrics SNR, effective SNR, estimated effective
    SNR
  • Whats a good metric?
  • Small or no gaps
  • Monotonic behavior

CSI
  • Ex Estimate of a 2x3 configuration using two 1x3
    received packets

2x3 20MHz
Large gaps
Non-monotonic beavior
2x3 40MHz
3x3 20MHz
eSNR (effective SNR based on real samples)
e2SNR (effective SNR based on CSI-SF estimates)
  • SNR is not a good metric, eSNR and e2SNR are
    better
  • Compared to standard eSNR, e2SNR uses estimates
    instead of real samples thus limiting the overhead
  • Example of CSI-SF combining two 1x3 packets in a
    2x3 packets

Packet 1 1x3 Ant B
CSI-SF Reduces Overhead
  • Hypoyetical channel variation
  • Overhead required to rate control to converge
    using different metrics

Packet 3 2x3 Ant AB
Real CSI
Estimated CSI
Hewlett Packard LaboratoriesUniversity of
Illinois _at_ Urbana-Champaign, Department of
Computer Science Mobicom 2011
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