A Markovian Analysis of an IEEE-802.11 Station with Buffering

IF 0.4 4区 数学 Q4 STATISTICS & PROBABILITY Markov Processes and Related Fields Pub Date : 2024-03-09 DOI:10.61102/1024-2953-mprf.2023.29.5.006
G. Fayolle, P. Muhlethaler
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Abstract

The purpose of this paper is to analyze the so-called backoff tech- nique of the IEEE 802.11 protocol with buffers. This protocol rules the trans- missions on a radio channel between nodes (or stations) of a network exchanging packets of information. In contrast to existing models, packets arriving at a sta- tion which in the backoff state are not discarded, but are stored in a buffer of in nite capacity. The backoff state corresponds to the number of time-intervals (mini-slot) that a node must wait before its packet is actually transmitted. As in previous studies, the key point of our analysis hinges on the assumption that the time on the radio channel is viewed as a random succession of trans- mission slots (whose duration corresponds to a packet transmission time) and mini-slots, which stand for the time intervals during which the backoff of the station is decremented. During these mini-slots the channel is idle, which im- plies that there is no packet transmission. These events occur independently with given probabilities, and the external arrivals of messages follow a Pois- son process. The state of a node is represented by a three-dimensional Markov chain in discrete-time, formed by the triple (backoff counter, number of packets at the station, number of transmission attempts). Stability (ergodicity) condi- tions are obtained for an arbitrary station and interpreted in terms of maximum throughput. Several approximations related to these models are also discussed.
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带缓冲的 IEEE-802.11 站的马尔可夫分析
本文旨在分析带缓冲区的 IEEE 802.11 协议的所谓回退技术。该协议规定了交换信息包的网络节点(或站点)之间在无线电信道上的传输任务。与现有模式不同的是,到达处于回退状态的站点的数据包不会被丢弃,而是被存储在一个具有固定容量的缓冲器中。后退状态对应于节点在实际传输其数据包之前必须等待的时间间隔(迷你时段)数。与之前的研究一样,我们分析的关键点在于假定将无线电信道上的时间视为随机连续的传输时隙(其持续时间与数据包传输时间相对应)和迷你时隙,迷你时隙代表信道站延迟递减的时间间隔。在这些迷你时段内,信道处于空闲状态,这意味着没有数据包传输。这些事件以给定的概率独立发生,外部信息的到达遵循泊松过程。节点的状态由离散时间的三维马尔科夫链表示,该链由三重(后退计数器、站点的数据包数量、传输尝试次数)组成。对于任意站点,可获得稳定性(遍历性)条件,并以最大吞吐量来解释。此外,还讨论了与这些模型相关的若干近似值。
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来源期刊
Markov Processes and Related Fields
Markov Processes and Related Fields STATISTICS & PROBABILITY-
CiteScore
0.70
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0.00%
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0
期刊介绍: Markov Processes And Related Fields The Journal focuses on mathematical modelling of today''s enormous wealth of problems from modern technology, like artificial intelligence, large scale networks, data bases, parallel simulation, computer architectures, etc. Research papers, reviews, tutorial papers and additionally short explanations of new applied fields and new mathematical problems in the above fields are welcome.
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