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Throughput analysis of a DS/SSMA unslotted ALOHA system with two user classes

机译:具有两个用户类的DS / SSMA Unlotted Aloha系统的吞吐量分析

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In this paper, we propose a direct-sequence spread spectrum multiple access (DS/SSMA) unslotted ALOHA system with two user classes and analyze the throughput of the proposed system. Mobile stations (MS's) are divided into two classes according to payment or traffic characteristics, such as delay-intolerant and delay-tolerant. Different permission probabilities are assigned to each class so that the appropriate quality of service can be provided. We assume that the generation of class 1 and 2 messages are Poisson distributed and the message is divided into several packets before transmission. The system is modeled as a two-dimensional Markov chain under the assumption that the number of packets transmitted immediately by both user classes is geometrically distributed and the packet length is constant. We calculate the packet success probability and the throughput as a function of the signal-to-noise ratio (SNR) during packet transmission, considering the number of overlapped class 1 and 2 messages and the amount of their time overlap. Moreover, we show that the proposed system differentiates user packets according to class and maintains a high throughput even under heavy traffic conditions using access control based on the channel load.
机译:在本文中,我们提出了一种具有两个用户类的直接序列扩频多址(DS / SSMA)未注释的Aloha系统,并分析所提出的系统的吞吐量。移动台(MS)根据支付或交通特性分为两类,例如延迟 - 不宽容和延迟宽容。可以为每个类分配不同的权限概率,以便提供适当的服务质量。我们假设第1类和2级消息的生成是分布的Poisson,并且在传输之前将消息分成多个数据包。该系统在假设由两个用户类别发送的分组数是几何分布的假设,该系统被建模为二维马尔可夫链,并且分组长度是恒定的。考虑到重叠类1和2消息的数量和它们的时间重叠的数量,我们计算分组成功概率和吞吐量作为信噪比(SNR)的函数。此外,我们表明,所提出的系统根据类别为用户分组区分了用户分组,即使在基于频道负载的访问控制的繁忙交通条件下也保持高吞吐量。

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