ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated With SUPERCOMM'98 (Cat. No.98CH362
DOI: 10.1109/icc.1998.682883
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Queueing analysis of CDMA slotted ALOHA systems with finite buffer and finite population assumptions

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Cited by 7 publications
(2 citation statements)
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“…In this situation an approximate analytical approach is used. The queueing system which stores and serves data packets at the BS is analyzed by expanding a linear approximate model proposed in [16] and then used in [17]. It is assumed that the system state depends only on the aggregate number n d of data packets in the queueing system.…”
Section: System Performance At the Data Packet Levelmentioning
confidence: 99%
“…In this situation an approximate analytical approach is used. The queueing system which stores and serves data packets at the BS is analyzed by expanding a linear approximate model proposed in [16] and then used in [17]. It is assumed that the system state depends only on the aggregate number n d of data packets in the queueing system.…”
Section: System Performance At the Data Packet Levelmentioning
confidence: 99%
“…More specifically, the system state can be defined as the number of all data packets at the BS in a given time slot and the behavior of such a queueing system may be described by the Markov chain with states, where is the number of queues and denotes the maximum length of each queue. The analytical approach used in [12] (this approach is based on earlier results presented in [13] and then utilized in [14]) assumes speech activity detection but it is approximate since the exact packet distribution among the queues cannot be directly derived from the reduced state description. Namely, the problem of packet distribution calculation is solved by estimation and this estimation is obtained by considering a restricted occupancy urn model [13].…”
mentioning
confidence: 99%