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establishment, including IAM, ACM, CPG, ANM, CON and REL UUI may also be included in UUS-speci c ISUP messages, such as facility or user-to-user information Signalling and procedure details of UUS are speci ed in 3GPP TS 23087 A maximum of 32 or 128 octets user data may be transported, depending on the signalling network Up to 3GPP Rel-5, CAP does not convey any UUI Hence, UUS is transparent for any CAMEL service CAMEL phase 4 in 3GPP Rel-6, however, allows for including UUI in IDP operation (Figure 89) UUS may be used between two (mobile) subscribers or between a mobile subscriber and network equipment This enhancement to CAMEL phase 4 is earmarked for GSM-R , which is GSM-adapted for use by railways (see http://gsm-ruicassofr/) An MSC/gsmSSF that supports this feature of CAMEL phase 4 includes the UUI that is present on the access network (DTAP or ISUP/BICC), into CAP IDP For an MO call, UUI present in DTAP Setup is copied to CAP IDP; for an MT call in GMSC or VMSC and for an MF call, UUI present in ISUP IAM is copied to CAP IDP Support of this feature in the MSC/gsmSSF is not indicated in the offered CAMEL 4 functionalities The reason is that this functionality has no impact on CAMEL service logic behaviour If the SCP does not support this parameter (the UUI) in CAP IDP, then it will ignore it CAMEL does not allow the UUI in ISUP IAM to be modi ed UUI that may be present in other ISUP messages, such as ACM or REL, is not reported to the SCP

The root wk having the largest modulus must be real and positive Why Denoting this root by , the asymptotic expansion (345) then follows Example 313 (continued) The GI /M/1 queue The Markov chain {Xn } describing the number of customers present just prior to arrival epochs satis es Condition B with r = 0 and s = 1, as directly follows from the one-step transition probabilities pij given in (312) The constants k are given by k =

( t)1 k a(t) dt, (1 k)!

k 1

.

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It is directly veri ed that 1 > 0 and 1 k= k k = 1 / < 0 Thus we can directly conclude from (3410) that the equilibrium probabilities j are of the form j for all j 0 for constants > 0 and 0 < < 1 The characteristic equation (349) coincides with the equation (3315) Next we give an application in which Condition A is used to establish the asymptotic expansion (345) Example 341 A discrete-time queueing model Messages arrive at a communication system according to a Poisson process with rate The messages are temporarily stored in a buffer which is assumed to have in nite capacity There are c transmission channels At xed clock times t = 0, 1, messages are taken out of the buffer and are synchronously transmitted Each channel can only transmit one message at a time The transmission time of a message is one time slot Transmission of messages can only start at the clock times t = 0, 1, It is assumed that < c, that is, the arrival rate of messages is less than the transmission capacity

.

To analyse this queueing model, de ne the random variable Xn by Xn = the number of messages in the buffer (excluding any message in transmission) just prior to clock time t = n Then {Xn , n = 0, 1, } is a discrete-time Markov chain with the in nite state space I = {0, 1, } The one-step transition probabilities are given by pij = e pij = e j , j! 0 i < c and j = 0, 1, i c and j = i c, i c + 1,

j i+c , (j i + c)!

By the assumption < c the Markov chain can be shown to satisfy Assumption 331 Hence the equilibrium probabilities j , j = 0, 1, exist and are the unique solution to the equilibrium equations j = e

e

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