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1 of 56 Idle Sense: An Optimal Access Method for High Throughput and Fairness in Rate Diverse Wireless LANs Martin HeusseFranck Rosseau Romaric GuillierAndrzej.

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Presentation on theme: "1 of 56 Idle Sense: An Optimal Access Method for High Throughput and Fairness in Rate Diverse Wireless LANs Martin HeusseFranck Rosseau Romaric GuillierAndrzej."— Presentation transcript:

1 1 of 56 Idle Sense: An Optimal Access Method for High Throughput and Fairness in Rate Diverse Wireless LANs Martin HeusseFranck Rosseau Romaric GuillierAndrzej Duda Presented by Nikki Benecke, October 10 th, 2006 for CS577

2 2 of 56 Objective: “Define an access method optimized for throughput and fairness, able to dynamically adapt to physical channel conditions, to operate near optimum for a wide range of error rates, and to provide equal time shares when hosts use different bit rates.”

3 3 of 56 Access method Way of deciding who can access the media at a given time In WLANs, CSMA/CA as implemented by DCF (required) or PCF

4 4 of 56 Optimized for throughput and fairness Throughput –Not goodput –Expect to maintain, not increase, with IS Fairness in Idle Sense: –Jain Index –Time Fairness

5 5 of 56 Dynamic channel adaptation Physical conditions vary wildly with time Frames received in error -> sender’s bitrate lowered to reduce error rate Idle Sense tries to intelligently decide when lowering the bitrate is worthwhile

6 6 of 56 Supporting a wide range of error rates Sort of superfluous – handled by dynamic channel adaptation

7 7 of 56 Equal time shares Step away from min-max fairness Keep slow senders from unnecessarily restricting fast senders

8 8 of 56 Motivation currently requires DCF as the access method –Also allows PCF Idle Sense addresses some key problems with DCF

9 9 of 56 DCF: Operation [dcf in a nutshell] Martin Heusse’s presentation at SIGCOMM ‘05

10 10 of 56 DCF: Backoff

11 11 of 56 DCF: “Bad Day” Problem Bad transmission conditions -> host will lose many frames High error rate -> frequent backoffs CW is increased -> transmission attempt probability is lower So the host will try to send less often and may eventually starve!

12 12 of 56 DCF: Physical Layer Capture [physical layer capture] Martin Heusse’s presentation at SIGCOMM ‘05

13 13 of 56 Two Modifications to DCF 1.No exponential backoff 2.All senders have equal CW

14 14 of 56 Ideal channel contention - number of hosts - probability of one host successfully transmitting - probability of one host attempting to transmit

15 15 of 56 Channel contention For a transmission to occur, one host must try to send and all others must be idle, so:

16 16 of 56 Channel contention - probability that no hosts are sending - probability of a collision

17 17 of 56 Channel contention - average number of consecutive idle slots

18 18 of 56 Channel contention Since all CW are equal:

19 19 of 56 Channel contention Throughput as a function of :

20 20 of 56 Channel contention Goal: maximize the throughput by minimizing the time spent in collisions and contention

21 21 of 56 Channel contention Maximizing is equivalent to minimizing defined as:

22 22 of 56 Channel contention Define as Take the first derivative of the cost function to get: is the unique solution for this equation that is in [0,1]

23 23 of 56 Formulas

24 24 of 56 value based on variant This is because it is based on the ts/tc ratio, which varies by flavor of = for b (important for later use)

25 25 of 56 Idle Sense: Principles Each host estimates and uses it to compute its CW By adjusting CW, a host makes converge to (common across hosts)

26 26 of 56 vs requires knowing N (# of hosts), which we would like to avoid

27 27 of 56 vs quickly approaches, though, so we can use this value as with little penalty

28 28 of 56 Channel adaptation

29 29 of 56 Channel adaptation

30 30 of 56 Adaptation example b (nitarget = 5.68) N = 5 CW = 60 = 1.2 = 0.001

31 31 of 56 Adaptation example 1.CW = 60 -> = 0.033, Pi = 0.847, = 5.53 Ni < 5.68, so increase CW CW = = 1.2 x 60 = 72 (Multiplicative decrease)

32 32 of 56 Adaptation example 2. This increase leads to = > 5.68, so decrease CW CW = CW = 69 (Additive Increase)

33 33 of 56 Adaptation example 3.Ni is now 6.41, still greater than So decrease again, CW gets value 67. As this continues, we will oscillate around (Additive Increase)

34 34 of 56 Time-fairness Argument: using min-max fairness restricts fast hosts by making them send as slowly as slow hosts

35 35 of 56 Time-fairness Using time-fairness eliminates two problematic situations: (i)Slower hosts limit the throughput of faster hosts (ii)Slow hosts suffer starvation because an access point will not switch to a slower rate

36 36 of 56 Time-fairness They say TF is better for both slow hosts and fast hosts.

37 37 of 56 Time-fairness In Idle Sense, accomplish TF by controlling the access probability for the hosts Slow host transmitting at bit rate rcurr receives a modified CW, CW’ = CW x, so scales down.

38 38 of 56 Miscellaneous Determining idle slots is easy Efficiency may be slightly lower for small num. of hosts (N) Near optimal utilization for certain ratios of -- real traffic may behave differently and have lower utilization

39 39 of 56 Idle Sense: Performance Developed discrete-event simulator that implements DCF and Idle Sense –No source code provided Three variants of –802.11b, g, theoretical 100Mb/s Idle Sense parameters: = for b = 31.0 for g = 19.3 for 100Mb/s

40 40 of 56 Performance Simulations run for 10 6 transmissions Experimentally determined parameters = = 1.2 N trans = 5 (see figure 6)

41 41 of 56 Throughput Compare b DCF, Slow Decrease, Asymptotically Optimal Backoff (AOB) and Idle Sense for an increasing number of hosts Throughput is the average of the throughput for all hosts active in the network

42 42 of 56 Throughput [figure 7]

43 43 of 56 Throughput

44 44 of 56 Throughput: Conclusion Authors expected throughput to stay around that of DCF Throughput actually improves slightly

45 45 of 56 Fairness: Jain Index Much better than DCF!

46 46 of 56 Delay K = # of intertransmissions between other hosts between two transmissions of a given host For larger K, hosts experience greater delays

47 47 of 56 Delay [table 5] Hosts should experience significantly less delay!

48 48 of 56 Collision Overhead [table 3] of DCF

49 49 of 56 Convergence Speed Start out with 5 greedy hosts, add another 5 at 2000, drop 5 at 3000 Stabilizes quickly after every change

50 50 of 56 Time fairness One 1Mb/s host and N-1 11Mb/s hosts By TF, fast hosts should get 11 x the throughput of the slow host in Idle Sense

51 51 of 56 Time fairness In DCF, all hosts get the slow host’s throughput – tput much lower than in IS!

52 52 of 56 Conclusions Throughput equivalent (sometimes better) than in DCF Better short-term fairness Shorter delay Less collision overhead Converges quickly Is time fair/doesn’t cripple fast senders

53 53 of 56 Possible weaknesses? No info provided on actual simulation tool/we can’t recreate experiments Some “experimentally derived” parameters How is this actually implemented? What happens if some senders have IS and others don’t? Is time-fairness really “fair”?

54 54 of 56 Oddities Figure 9 never referenced in text (second Jain fairness figure)

55 55 of 56 Questions/Comments

56 56 of 56 Acknowledgements Most figures taken directly from the paper Slide 10 is from the technical specifications (Section 9.2, DCF) Slides 9 & 12 and the “Bad Day” and physical capture ideas are from Martin Heusse’s presentation of Idle Sense at SIGCOMM ‘05


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