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The ir with i = r are found by solving a system of linear equations For notational convenience, number the states as 1, , N and let state r be numbered as N Theorem 322 The mean visit times iN for i = N are the unique solution to the linear equations

N 1

j =1

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The gprsSSF allocates an origination reference when it invokes a CAMEL service in the gsmSCF; it includes this origination reference in the rst TCAP message to the gsmSCF Upon receipt of the rst TC Begin message, the gsmSCF also allocates an origination reference and includes it in the rst TCAP response message to the SGSN The origination reference that the gsmSCF received from the gprsSSF is used as destination reference in the rst TC Continue message that the gsmSCF sends to the gprsSSF The gprsSSF and the gsmSCF have now exchanged one another s GPRS reference number for the current CAMEL dialogue From here onwards, the CAMEL dialogue between the gprsSSF and the gsmSCF use the GPRS reference number when a new TCAP dialogue is opened The GPRS reference number is used to couple a new TCAP dialogue related to an existing CAMEL relationship, to the correct CAMEL service

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pij jN ,

(324)

Proof The equation for iN follows by conditioning on the next state visited after state i To prove that the linear equations have a unique solution we use the trick of making state N absorbing for a modi ed Markov chain Let P = (pij ), i, j I be the Markov matrix obtained by replacing the N th row in the matrix P = (pij ), i, j I by (0, 0, , 1) The mean rst passage times jN for j = 1, , N 1 are not changed by making state N absorbing Denote by Q = (qij ) the (N 1) (N 1) submatrix that results by omitting the N th row and the N th column in the matrix P Let the vectors = ( 1N , , N 1,N ) and e = (1, , 1) Then we can write (324) in matrix notation as = e + Q (325)

(n) (n) qij = pij ,

i, j = 1, , N 1,

(326)

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(n) (n) where the qij and the pij are the elements of the n-fold matrix products Qn and P n State N can be reached from each starting state i = N under the Markov (n) (n) matrix P, since by assumption (b) piN piN > 0 for some n 1 Further, state N is absorbing under P This implies that (n) lim pij = 0 for all i, j = 1, , N 1,

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