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  • 8/10/2019 Tabel Engset

    1/4

    OfferedTraffic

    (A in Erl) 2 3 4 5 6 7

    0,2 .01442 .00083 ..00003

    0,4 .04874 .00561 .00046 .000030,6 .09301 .01609 .00199 .00018 .000010,8 .14103 .03237 .00538 .00067 .00007 .000011,0 .18920 .05371 .01123 .00177 .00022 .00002

    1,2 .23553 .07894 .01987 .00380 .00057 .000071,4 .27908 .10685 .03140 .00707 .00124 .000171,6 .31947 .13634 .04567 .01185 .00240 .000391,8 .35665 .16652 .06236 .01832 .00423 .000782,0 .39076 .19669 .08108 .02658 .00689 .00142

    2,2 .42200 .22635 .10136 .03664 .01054 .00242

    2,4 .45061 .25515 .12276 .04842 .01533 .003892,6 .47684 .28288 .14488 .06176 .02134 .005932,8 .50092 .30939 .16736 .07646 .02863 .008663,0 .52307 .33464 .18991 .09230 .03719 .01219

    3,2 .54348 .35860 .21229 .10904 .04699 .016583,4 .56233 .38130 .23432 .12646 .05793 .021923,6 .57977 .40276 .25586 .14433 .06992 .028233,8 .59596 .42305 .27681 .16247 .08282 .035524,0 .61100 .44222 .29710 .18071 .09648 .04377

    4,2 .62501 .46033 .31670 .19891 .11076 .052934,4 .63808 .47745 .33558 .21695 .12552 .062944,6 .65031 .49364 .35374 .23475 .14062 .073714,8 .66177 .50896 .37118 .25222 .15595 .085165,0 .67252 .52346 .38790 .26931 .17138 .09718

    5,2 .68264 .53720 .40394 .28599 .18684 .109675,4 .69216 .55024 .41931 .30222 .20223 .122535,6 .70114 .56261 .43403 .31798 .21749 .135765,8 .70962 .57437 .44813 .33327 .23256 .149016,0 .71765 .58554 .46165 .34808 .24740 .16247

    6,2 .72526 .59618 .47460 .36241 .26198 .175976,4 .73247 .60632 .48701 .37627 .27626 .18946

    6,6 .73932 .61598 .49891 .38967 .29022 .202886,8 .74583 .62520 .51032 .40261 .30385 .216197,0 .75204 .63401 .52127 .41511 .31715 .22935

    7,2 .75795 .64243 .53179 .42719 .33010 .242347,4 .76359 .65049 .54189 .43884 .34270 .255137,6 .76898 .65821 .55159 .45010 .35496 .267697,8 .77413 .66560 .56092 .46098 .36688 .280018,0 .77906 ..67269 .56990 .47148 .37845 .29209

    Loss Probability (P) for N =

    Engset Loss Probability (S=20 Sources)

  • 8/10/2019 Tabel Engset

    2/4

    OfferedTraffic

    (A in Erl) 8 9 10 11 12 13

    0,20,40,60,81,0

    1,2 .000011,4 .000021,6 .00005 .000011,8 .00012 .000012,0 .00024 .00003

    2,2 .00045 .00007 .000012,4 .00080 .00013 .000022,6 .00133 .00024 .000042,8 .00212 .000042 .00007 .000013,0 .00323 .00070 .00012 .00002

    3,2 .00475 .00111 .00021 .000033,4 .00676 .00170 .00035 .00006 .000013,6 .00933 .00251 .00055 .00010 .000013,8 .01254 .00361 .00085 .00016 .000034,0 .01644 .00505 .00127 .00026 .00004 .00001

    4,2 .02110 .00690 .00184 .00040 .00007 .000014,4 .02653 .00921 .00261 .00060 .00011 .000024,6 .03276 .01205 .00362 .00089 .00018 .000034,8 .03976 .01545 .00492 .00128 .00027 .000055,0 .04753 .01947 .00655 .00180 .00040 .00007

    5,2 .05602 .02414 .00857 .00248 .00058 .000115,4 .06517 .02946 .01102 .00337 .00083 .000175,6 .07493 .03544 .01395 .00449 .00117 .000255,8 .08522 .04206 .01739 .00589 .00162 .000366,0 .09596 .04935 .02138 .00761 .00219 .00051

    6,2 .10709 .05720 .02592 .00969 .00293 .00071

    6,4 .11853 .06561 .03104 .01218 .00387 .000996,6 .13021 .07451 .03673 .01507 .00503 .001356,8 .14207 .08386 .04297 .01845 .00645 .001817,0 .15404 .09359 .04975 .02231 .00818 .00240

    7,2 .16607 .10365 .05704 .02667 .01023 .003157,4 .17813 .11398 .06480 .03153 .01266 .004087,6 .19015 .12452 .07299 .03690 .01548 .005227,8 .20211 .13523 .08156 .04276 .01872 .006618,0 .21398 .14605 .09046 .04909 .02240 .00827

    Loss Probability (P) for N =

    Engset Loss Probability (S=20 Sources)

  • 8/10/2019 Tabel Engset

    3/4

    OfferedTraffic

    (A in Erl) 4 5 6 7 8 9

    0,3 .00018 .000010,6 .00229 .00023 .000020,9 .00899 .00139 .00017 .000021,2 .02198 .00457 .00076 .00010 .000011,5 .04151 .01084 .00228 .00039 .00006 .00001

    1,8 .06672 .02096 .00534 .00112 .00020 .000032,1 .09619 .03518 .01053 .00260 .00054 .000092,4 .12837 .05327 .01831 .00523 .00125 .000252,7 .16189 .07466 .02893 .00937 .00255 .000593,0 .19567 .09861 .04239 .01536 .00469 .00122

    3,3 .22893 .12434 .05847 .02342 .00795 .002293,6 .26115 .15111 .07682 .03365 .01257 .004003,9 .29201 .17830 .09697 .04599 .01875 .006544,2 .32133 .20543 .11846 .06028 .02661 .010104,5 .34903 .23213 .14082 .07628 .03619 .01485

    4,8 .37513 .25813 .16366 .09367 .04744 .020935,1 .39964 .28327 .18663 .11214 .06023 .028415,4 .42265 .30742 .20947 .13138 .07438 .037305,7 .44424 .33053 .23196 .15110 .08967 .047566,0 .46448 .35259 .25395 .17105 .10588 .05909

    6,3 .48348 .37559 .27532 .19102 .12277 .071766,6 .50132 .39356 .29601 .21084 .14013 .085406,9 .51809 .41252 .31597 .23039 .15778 .099847,2 .53386 .43054 .33518 .24954 .17553 .114907,5 .54871 .44764 .35362 .26825 .19326 .13042

    7,8 .56270 .46387 .37131 .28643 .21085 .146248,1 .57592 .47929 .38826 .30408 .22820 .162238,4 .58840 .49395 .40449 .32115 .24525 .178268,7 .60021 .50788 .42002 .33765 .26194 .194259,0 .61139 .52113 .43489 .35357 .27823 .21011

    9,3 .62200 .53374 .44911 .36891 .29409 .22576

    9,6 .63206 .54576 .46273 .38369 .30950 .241179,9 .64163 .55721 .47577 .39793 .32446 .25628

    10,2 .65072 .56814 .48825 .41163 .33896 .2710710,5 .65939 57857 .50021 .42482 .35300 .28551

    10,8 .66764 .58854 .51167 .43751 .36659 .2996011,1 .67552 .59807 .52266 .44972 .37974 .3133111,4 .68305 .60719 .53321 .46148 .39245 .3266511,7 .69024 .61592 .54333 .47280 .40473 .3396112,0 .68712 .62429 .55305 .48370 .41661 .35220

    Loss Probability (P) for N =

    Engset Loss Probability (S=30 Sources)

  • 8/10/2019 Tabel Engset

    4/4

    OfferedTraffic

    (A in Erl) 10 11 12 13 14 15

    0,30,60,91,21,5

    1,82,1 .000012,4 .00004 .000012,7 .00012 .000023,0 .00027 .00005 .00001

    3,3 .00057 .00012 .000023,6 .00109 .00026 .00005 .000013,9 .00196 .00051 .00011 .000024,2 .00329 .00093 .00023 .00005 .000014,5 .00525 .00160 .00042 .00010 .00002

    4,8 .00798 .00263 .00075 .00019 .00004 .000015,1 .01164 .00413 .00127 .00034 .00008 .000025,4 .01634 .00622 .00205 .00059 .00015 .000035,7 .02218 .00901 .00318 .00098 .00026 .000066,0 .02922 .01264 .00476 .00156 .00045 .00011

    6,3 .03745 .01719 .00689 .00240 .00073 .000196,6 .04684 .02274 .00967 .00358 .00116 .000336,9 .05731 .02932 .01319 .00519 .00178 .000537,2 .06876 .03694 .01754 .00729 .00265 .000847,5 .08106 .04556 .02277 .01000 .00383 .00128

    7,8 .09407 .05513 .02891 .01338 .00541 .001918,1 .10766 .06555 .03596 .01749 .00746 .002788,4 .12168 .07674 .04391 .02240 .01005 .003948,7 .13603 .08858 .05269 .02812 .01326 .005479,0 .15057 .10095 .06225 .03466 .01713 .00743

    9,3 .16521 .11375 .07249 .04199 .02171 .00988

    9,6 .17987 .12686 .08334 .05009 .02704 .012899,9 .19446 .14020 .09469 .05889 .03310 .01652

    10,2 .20893 .15367 .10645 .06833 .03989 .0207910,5 .22323 .16719 .11853 .07833 .04738 .02573

    10,8 .23732 .18071 .13084 .08880 .05552 .0313611,1 .25117 .19417 .14331 .09967 .06425 .0376511,4 .26474 .20751 .15587 .11086 .07351 .0445911,7 .27803 .22070 .16846 .12230 .08322 .0521412,0 .29102 .23370 .18103 .13390 .09333 .06025

    Loss Probability (P) for N =

    Engset Loss Probability (S=30 Sources)