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Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

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254 C.J. Colbourn, V.R. Syrotiuk, and A.C.H. L<strong>in</strong>gExpected Frame Throughput0.140.120.10.080.060.040.02S(2,k,v) Frame ThroughputExpected Frame Throughput4321S(2,k,v) Frame Throughput vs. TDMA010 20 30 40Size of Neighbourhood010 20 30 40Size of NeighbourhoodFig. 2. Frame throughput for (a) S(2,k,v); and (b) versus TDMA, for k =3, 6, 9, 12.the curves with a shorter frame length have a more pronounced drop than curveswith longer frame length. As well, curves with the same k value now show aguarantee (i.e., are horizontal) for up to k neighbours, after which the guaranteedegrades.In Fig. 2(b), we plot the ratio of frame throughput for S(2,k,v) for k =3, 6, 9, 12 over the throughput of TDMA for the same frame length as a functionof neighbourhood size, for the same v’s as given earlier. Now, we see that thebest possible throughput is 1/v1/N= N/v which is 4, 3, 2, 1 for <strong>in</strong>creas<strong>in</strong>g valuesof v. Aga<strong>in</strong>, the slot guarantee is evident. That is, the curves are horizontalfor neighbourhood sizes less than or equal to k and the degrade as the neighbourhood<strong>in</strong>creases. The degradation is slower for the longer frames. The curveswhose maximum expected frame throughput equals one correspond to orthogonalarrays OA(2,v,v). Hence it is pla<strong>in</strong>ly evident that schedules constructedfrom Ste<strong>in</strong>er systems are much denser than those constructed from orthogonalarrays, with the potential to yield much higher throughput.Figure 3(a) plots m<strong>in</strong>imum throughput for S(2,k,v) for k =3, 6, 9, 12 as afunction of neighbourhood size for the same values of v as given earlier. Here,the y-<strong>in</strong>tercept is k/v (the same as <strong>in</strong> Fig. 1), however now the x-<strong>in</strong>tercept isk and is the same for each value of v. This results <strong>in</strong> the curves dropp<strong>in</strong>g tozero much more quickly than <strong>in</strong> Fig. 1. A curiosity is that the four segmentsthat correspond to the maximum m<strong>in</strong>imum throughput correspond to S(2,k,v)where the smallest frame length v for the given k provides a range of neighboursover which it provides the best m<strong>in</strong>imum throughput. That is, S(2, 3, 7) andS(2, 12, 133) are better over a larger range of neighbours than are S(2, 6, 31) andS(2, 9, 73).Figure 3(b) plots the ratio of m<strong>in</strong>imum throughput for S(2,k,v) for k =3, 6, 9, 12 over TDMA with the same frame length as a function of neighbourhoodsize for the same v’s. Aga<strong>in</strong> we see that the curves <strong>in</strong>vert order when the ratiois considered. Specifically, the curve with the highest y-<strong>in</strong>tercept is S(2, 12, 529)s<strong>in</strong>ce this is given <strong>by</strong> k/v1/Nas <strong>in</strong> Fig. 1. However the x-<strong>in</strong>tercept now correspondsto k as on the figure on the left. Now, the largest v for each k provides the bestm<strong>in</strong>imum throughput relative to TDMA.

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