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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Performance analysis of reservation media-access protocol with access and serving queues under bursty traffic in GPRS/EGPRS
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Performance analysis of reservation media-access protocol with access and serving queues under bursty traffic in GPRS/EGPRS

机译:GPRS / EGPRS中突发流量下带有访问和服务队列的预留媒体访问协议的性能分析

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Performance modeling of the contention-based reservation protocol in the general packet radio service (GPRS)/enhanced GPRS (EGPRS) under bursty traffic is of practical use in system design. Instead of using discrete event simulation, we construct an analytical model based on stochastic Petri net formalism to investigate GPRS uplink performance efficiently. The model is built to capture the major features of a realistic system, taking into account factors such as the traffic profile, the system's capture capability, the contention persistence, the multislot capability, and the use of the access queue and the round-robin virtual serving queue. As shown in numerical results, these factors have different impacts on the performance measures, such as link-control-layer frame-blocking probability, frame delay, system throughput, and packet-channel utilization. To avoid modeling and computational complexity in a GPRS/EGPRS system model that supports several mobile terminals, we make first-order approximations and use an iterative fixed-point scheme. Comparisons with discrete event simulations are conducted and show promising agreement with the proposed analytical-numerical model. We then use the model to investigate GPRS packet-data performance under different parameter settings and present numerical results, providing insights into network design and optimization.
机译:在突发流量下,通用分组无线业务(GPRS)/增强型GPRS(EGPRS)中基于竞争的预留协议的性能建模在系统设计中具有实际用途。代替使用离散事件模拟,我们基于随机Petri网形式主义构建分析模型,以有效地研究GPRS上行链路性能。该模型的建立是为了捕获实际系统的主要特征,并考虑了诸如流量配置文件,系统的捕获能力,竞争持久性,多时隙能力以及访问队列和循环虚拟的使用等因素。服务队列。如数值结果所示,这些因素对性能指标有不同的影响,例如链路控制层的帧阻塞概率,帧延迟,系统吞吐量和分组信道利用率。为了避免在支持多个移动终端的GPRS / EGPRS系统模型中建模和计算复杂性,我们进行一阶近似并使用迭代定点方案。进行了与离散事件模拟的比较,并显示了与所提出的解析数值模型的有希望的一致性。然后,我们使用该模型调查不同参数设置下的GPRS分组数据性能,并给出数值结果,从而提供对网络设计和优化的见解。

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