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483 Operator-determined Barring ODB is speci ed in GSM TS 0241 [9] and GSM TS 0315 [30] ODB is similar to the GSM call barring supplementary service The operator may apply ODB to bar speci c services, such as outgoing calls or incoming calls, for a subscriber Unlike GSM call barring, ODB settings cannot be changed by the subscriber ODB may be used, for example, when roaming conditions or network conditions do not permit the use of a speci c service Alternatively, a subscriber s service pro le may not allow certain services A further distinction between ODB and call barring is that call barring may be speci ed for individual basic services or basic service groups, whereas ODB may be applied only to the entire group of subscribed basic services ODB is divided into different categories; not all categories have an impact on CAMEL services The relevant ODB categories are: Barring of outgoing calls this category is checked during outgoing call establishment after the invocation of CAMEL; if this ODB category prevents the call establishment, then this leads to one of the call establishment failure DPs in the O-BCSM The sub-category barring of all outgoing calls is checked before CAMEL invocation Barring of outgoing premium rate calls this category is checked during outgoing call establishment after the invocation of CAMEL Call establishment failure due to this ODB category leads to one of the call establishment failure DPs in the O-BCSM Operator speci c barring the behaviour of this category of ODB is not speci ed; it may be determined by the operator For example, an operator may disallow speci c destinations for certain subscribers Barring of supplementary services management this ODB category bars, amongst others, the use of mobile initiated USSD As a result, USSD services in the SCP cannot be used by the subscriber For the remaining ODB categories, refer to GSM TS 0241 [9].

fj (t,

x/ 1

P {R(t) x}

fj (t,

.

(462)

484 High-speed Circuit-switched Data High-speed circuit-switched data (HSCSD) allows for data rates up to 576 kbit/s through the GSM radio access network The high throughput is achieved by allocating multiple time slots over the air interface between MS and BTS An HSCSD call may be subject to CAMEL control The HSCSD call is treated as a bearer service call The number of time slots allocated to HSCSD calls may change during the call Such change is not indicated to the CAMEL service The CAMEL service can therefore only base the charge of the call on the information that is available at call setup The CDR for the call may, however, contain an indication of the changed data rate

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For xed x and t, the computational effort of the algorithm is proportional to 1/ 2 and so it quadruples when is halved Hence the computation time of the algorithm will become very large when the probability P {R(t) x} is desired at high accuracy and there are many states Another drawback of the discretization algorithm is that no estimate is available for the discretization error Fortunately, both dif culties can be partially overcome Let

x/ 1

P( ) =

fj (t,

485 Multiple Subscriber Pro le The multiple subscriber pro le (MSP) GSM supplementary service is a mechanism that enables subscribers to have multiple pro le de nitions in the HLR The subscriber has a single SIM, and hence a single IMSI, but may have a different MSISDN per pro le The subscriber may select one pro le as the active pro le Each pro le may have different settings for the supplementary services Two phases of MSP exist: MSP phase 1 refer to GSM TS 0297 [25] and GSM TS 0397 [48] This phase of MSP makes use of CAMEL phase 2 capability46 MSP Phase 2 refer to 3GPP TS 22097 [67] and 3GPP TS 23097 [85] This phase of MSP makes use of CAMEL phase 2 and CAMEL phase 3 capability For more information on MSP, see 5

be the rst-order estimate for P {R(t) x} and let the error term e( ) = P ( ) P {R(t) x} The following remarkable result was empirically found: e( ) P (2 ) P ( ) when is not too large Thus the rst-order approximation P ( ) to P {R(t) x} is much improved when it is replaced by P ( ) = P ( ) [P (2 ) P ( )] Example 453 (continued) The Hubble telescope problem What is the probability distribution of the number of repair missions that will be prepared in the next 10 years when currently all six gyroscopes are in perfect condition To consider this question we impose the following reward structure on the continuous-time Markov chain that is described in Figure 451 (with the states sleep 2 and sleep 1 numbered as the states 7 and 8) The reward rates r(j ) and the lump rewards Fjk are taken as r(j ) = 0 for all j, F27 = F18 = 1 and the other Fjk = 0 (463)

Then the cumulative reward variable R(t) represents the number of repair missions that will be prepared up to time t Note that in this particular case the stochastic variable R(t) has a discrete distribution rather than a continuous distribution However, the discretization algorithm also applies to the case of a reward variable R(t) with a non-continuous distribution For the numerical example with = 01, = 100 and = 5 we found that P {R(t) > k} has the respective values 06099, 00636 and 00012 for k = 0, 1 and 2 (accurate to four decimal places with = 1/256)

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