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category of call barring or ODB If BAOC is active for TS22 (ie for MO-SMS), then both SMS submission and SMS command are barred; as a result, no CAMEL service is invoked 543 Subscription Data The operator may provision each subscriber in the HLR with MO-SMS-CSI, which consists of the elements listed in Table 526 In addition, MO-SMS-CSI may contain the elements noti cationToCSE and csi-Active These elements are described in Section 58 544 SMS State Model SMS submission uses a fairly rudimentary state model, compared with call control and GPRS control; see Figure 566 The meaning of the Detection Points is described in Table 527 When a subscriber sends an SMS that exceeds the permissible length for SMS, then the UE may invite the subscriber to send the SMS as a concatenated SMS The concatenated SMS is sent as two

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Letting n , the rst term on the right-hand side of this equation converges to zero and the second term converges to This proves that (3513) also holds when X0 = s Together (3512), (3513) and the relation 1/ ss = s yield = s E(number of visits to state which proves the desired result In Example 313, dealing with the GI /M/1 queue, we tried a solution of the form j = j , j 0 for the equilibrium distribution of the Markov chain {Xn } describing the number of customers present just prior to the arrival epochs This geometric form can be proved by using Lemma 3510 Since the arrival rate is less than the service rate, Assumption 331 is satis ed with the regeneration state 0 Since any two states of the Markov chain {Xn } communicate, it follows from Lemma 352 and Theorem 353 that the state space I is an irreducible set consisting of (positive) recurrent states Hence, by Lemma 3510, we have for the GI /M/1 queue that E(number of visits to state j + 1 between two successive returns to state j ) j +1 for j = 0, 1, (3514) = j Some re ections show that the left-hand side of this equation is independent of j by the memoryless property of the exponential distribution for the service times Hence, for some constant , j +1 / j = for all j 0 showing that j = 0 j for j 0 Next we prove Theorem 333 The proof is very similar to that of Lemma 3510 Assume that the Markov chain earns a reward f (j ) each time it visits state j Theorem 3511 Suppose that the Markov chain {Xn } satis es the Assumptions 331 and 332 Then 1 lim n n.

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Table 526 Element Trigger detection point Contents of MO-SMS-CSI Description This element indicates the point in the SMS state model from where the CAMEL service shall be invoked For CAMEL control of SMS, this element will always have the value sms-CollectedInfo ; see Section 544 for a description of the state model for MO-SMS The service key indicates to the gsmSCF which CAMEL service will be invoked The gsmSCF address is the GT of the gsmSCF where the CAMEL service is located The default SMS handling indicates the action that the smSSF will take in the case of CAMEL dialogue failure; it may have the value continue or release This element indicates which version of CAP will be used for the CAMEL service For CAMEL control of SMS, this element will always have the value CAP v3

in one cycle),

f (Xk ) =

Proof Assume rst that the initial state of the process is the regeneration state r from Assumptions 331 and 332 The Markov chain can be seen as a regenerative process with the epochs at which the process visits state r as regeneration epochs De ne a cycle as the time elapsed between two successive visits to state r The expected cycle length equals the mean recurrence time rr and is nite By the renewal-reward theorem from 2, 1 n n lim

f (Xk ) =

Figure 566 State model for CAMEL control of MO-SMS Reproduced from 3GPP TS 23078 v3190, Figure 73, by permission of ETSI

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