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Estimation of Link Interference in Static Multihop Wireless Networks

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Title: Estimation of Link Interference in Static Multihop Wireless Networks


1
Estimation of Link Interference in Static
Multi-hop Wireless Networks
  • Jitendra Padhye, Sharad Agarwal, Venkat
    Padmanabhan, Lili Qiu, Ananth Rao, Brian Zill

Microsoft Research University of Texas
Austin University of California, Berkeley
2
Infrastructure Wireless Network
Access Point
3
Ad-hoc, multi-hop wireless networks
4
Motivation
  • Interference limits performance of (static)
    multi-hop wireless networks
  • Simultaneous transmissions on nearby links
    interact adversely
  • Knowledge of which links interfere with each
    other is useful for
  • Capacity estimation GK00, JPPQ03,
  • Routing De Couto et. al. 03, DPZ04,
  • Channel assignment RC05,

5
Hard Problem
  • Accurate, physical-level radio modeling is
    difficult
  • Environmental factors, hardware-specific details,
  • Simple experimental measurements are not
    feasible
  • Network with n nodes ? O(n2) links
  • Pairwise interference ? O(n4) experiments
  • Our testbed
  • 22 nodes, over 100 good links ? over 10,000
    link pairs
  • May have to repeat experiments periodically!
  • Our goal Efficient experimental methodology to
    estimate pair-wise interference among all links.

6
Previous Work
  • Punt on the problem
  • Assume that interference information is known
    JPPQ03,
  • Use simple heuristics
  • All links on a path interfere De Couto et. al.
    03, DPZ04,
  • Pessimistic
  • Only links that share endpoint interfere KN03,
  • Optimistic
  • Interference range is twice the communication
    range GK00,
  • Not valid in all environments

7
Problem Formulation
  • Two links, A-gtB and C-gtD
  • Throughputs X and Y when operating individually
  • Throughputs X// and Y// when operating
    simultaneously
  • Link Interference Ratio (LIR) (X// Y// ) / (X
    Y)
  • LIR 1 implies no interference
  • LIR lt 1 implies interference
  • Not just binary full range of values between 0
    and 1.
  • Goal Estimate LIR for all link pairs without
    requiring O(n4) experiments

8
Impact of Interference on Unicast Transmissions
1
A
B
C
D
  • Carrier sensing
  • A and C can hear each other.
  • Only one transmits at a time.

9
Impact of Interference on Unicast Transmissions
2
A
B
C
D
  • Collision of data packets
  • Transmissions from A and C collide at B
  • Reception of data fails at B

10
Impact of Interference on Unicast Transmissions
3
A
B
C
D
  • Collision of data and ACK packets
  • ACK from D collides with data from A
  • Reception of data fails at B

11
Impact of Interference on Unicast Transmissions
Other Possibilities
  • Data/ACK collision prevent reception of ACK at
    sender
  • ACK/ACK collision

12
Key Idea
  • Only consider carrier sensing (1) and data
    packet collisions (2)
  • Ignore ACKs
  • Broadcast packets are sufficient for measurements
  • Consider only sender pairs, instead of link pairs
  • O(n2) experiments instead of O(n4)

13
Methodology
Individual Broadcasts
Pairwise Interference
Measure As receive rate _at_ B M
Broadcast Interference Ratio (BIR) (M// N//)
/ (M N)
Measure As receive rate _at_ B M//
1 no interference lt 1 interference
BIR for all pairs can be calculated with O(n2)
experiments
Hypothesis BIR is a good approximation of LIR
  • BIR Captures
  • Carrier sensing
  • Data/Data collisions
  • BIR Ignores
  • Data/ACK collisions
  • ACK/ACK collsions
  • AutoRate

Measure Cs receive rate _at_ D N
Measure Cs receive rate _at_ D N//
14
Sample Experimental Result
Median error is zero!
802.11a, full power, 6Mbps, no RTS/CTS. 75 link
pairs selected at random. Average of 5 runs
15
Summary of results
  • BIR is a good approximation for LIR in various
    scenarios
  • Low power
  • 802.11 a/b/g
  • Autorate
  • BIR experiments need to be repeated regularly as
    link interference patterns change over time.

16
Future work
  • More evaluation
  • outdoor, differential power.
  • Interference among larger groups of links (not
    just pairs)
  • Predict interference by passively observing
    existing traffic?

17
Microsoft Research Wireless Mesh Networking
Project
  • http//research.microsoft.com/mesh/
  • Support for academic researchers
  • Software (Mesh Academic Resource Toolkit)
  • Yes, includes source!
  • Hardware
  • Contact Victor Bahl (bahl_at_microsoft.com)

18
Backup Slides
19
Our Contribution
  • An experimental methodology to estimate pair-wise
    link interference using O(n2) experiments
  • Evaluation of this methodology in a variety of
    settings using an indoor, 22-node testbed.

20
What causes interference between two unicast
transmissions?
  • Carrier sensing
  • Senders can hear each others transmission
  • Only one sender sends at a time
  • Collisions
  • Simultaneous data packet transmissions
  • One or both data packets lost
  • Simultaneous data and ACK transmissions
  • Data and/or ACK packet lost
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