An Approximate Analysis of Buffered S-ALOHA in Fading Channels Using Tagged User Analysis
Tagged user analysis (TUA) is a generic approximate method of analyzing random access protocols for finite-user finite-buffer systems. This technique decouples the channel contention behavior from the user queuing behavior and allows the use of classical queuing theory results to be directly applica...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2007-04, Vol.6 (4), p.1320-1326 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Rasool, S.B. Sheikh, A.U.H. |
| description | Tagged user analysis (TUA) is a generic approximate method of analyzing random access protocols for finite-user finite-buffer systems. This technique decouples the channel contention behavior from the user queuing behavior and allows the use of classical queuing theory results to be directly applicable to the analysis of finite-user finite-buffer random access methods. In this paper, we extend TUA to analyze finite buffer S-ALOHA operating over flat fading radio channels and derive expressions for system performance indices like throughput, average packet delay, blocking probability and queue length. It is shown that for a moderate number of active users, the simulation and analytical results fit closely |
| doi_str_mv | 10.1109/TWC.2007.348328 |
| format | Article |
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| source | IEEE Electronic Library (IEL) |
| subjects | Access methods and protocols, osi model Access protocols Analytical models Applied sciences Approximation Buffers Channels Delay Exact sciences and technology Fading Mathematical analysis Performance analysis Queueing analysis Queueing theory Queues Random access Rayleigh channels State-space methods System performance Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Teletraffic Throughput Transmission and modulation (techniques and equipments) |
| title | An Approximate Analysis of Buffered S-ALOHA in Fading Channels Using Tagged User Analysis |
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