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CSpy: Finding the Best Quality Channel without Probing Souvik Sen, Bozidar Radunovic, Jeongkeun Lee, Kyn-Han Kim MobiCom’13 1.

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Presentation on theme: "CSpy: Finding the Best Quality Channel without Probing Souvik Sen, Bozidar Radunovic, Jeongkeun Lee, Kyn-Han Kim MobiCom’13 1."— Presentation transcript:

1 CSpy: Finding the Best Quality Channel without Probing Souvik Sen, Bozidar Radunovic, Jeongkeun Lee, Kyn-Han Kim MobiCom’13 1

2 Wireless Everywhere Wireless Display Mobile Wireless Wireless Input Performance really matters 2

3 Wireless Performance in Theory 3 Rx Tx Channel Measurement Textbook Algorithms Adaptions Scheduling … Channel Quality Limits Wireless Performance Question: How to Select the Best Channel?

4 Premier: Propagations and Channel 4 Rx Tx Single Path Rx Tx Multipath Q1: How to evaluate different channels?

5 How to Determine Channel Quality Goal: High Throughput Metric: Effective SNR (SIGCOMM’10) 5 Measurements of A Single Channel Effective SNR

6 Which Channel to Select? Goal: High Throughput Metric: Channel with Strongest Effective SNR 6 Measurements of Multiple Channels Q2: How to find the best channel?

7 How to Find the Best Quality Channel Method: Probing −Measure every channel and compare their qualities Problem: Time consuming Large overhead if frequent probing is needed Goal: Can we find the strongest channel Without Probing? 7

8 Predicting an Unseen Channel Insight: Probing does not leverage information about the underlying propagation Channel State Information (CSI) contains information about the multipath propagation structure Determine the strongest from a set of channels while probing only one channel 8

9 Review: Channels, CSI, CIR 9

10 10 IDFT CSI Explore correlation between CIR from one channel Index of the strongest channel Explore correlation between CIR from one channel Index of the strongest channel # channels << # paths: underdetermined system

11 Hypotheses and Measurements Hypothesis 1: Links with the same strongest channel shares similarity in their multipath structure 11

12 Hypotheses and Measurements Hypothesis 2: Links with different strongest channel index exhibits different multipath characteristics 12

13 Why does Prediction Work A Simple Theoretical Analysis (proof in the paper) If: phase of 1 st tap < phase of 2 nd tap in channel c Then :amplitude of 1 st tap in c+1 > amplitude of 1 st tap in c-1 A High-level Intuition −The phases of different paths are uniformly random and independent −When constructing an estimator based on relative phases, we can recover a bias correlated with channel quality Intractable for multiple channels Solution? Intractable for multiple channels Solution? 13

14 Learning a Predictor Feature Representation: −The relative phases of all taps w.r.t. the 1 st tap Training and Classification: −Multi-class support-vector machine (SVM) 14

15 Experiment Setup 70 links in 2 buildings, and 1 parking lot CSI Tool enabled laptops operating at 5GHz 9 channels (#36-48, #149-165) 15

16 Performance SCI (Strongest Channel Index) Estimation 16 Mean Accuracy: 83%

17 Performance Accuracy/FP across different observing channels 17 Performance degrades on edge channels

18 Performance Accuracy/FP w.r.t. increasing frequency gap 18 Reliably estimate the strongest channel within 4-5 adjacent channels

19 Performance Throughput Gain 19 250%, 100% and 85% gain w.r.t. weakest, average, and an optimal algorithm

20 Performance Comparison with Probing-based Scheme 20

21 Thank You! 21


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