随机几何蜂窝网络模型中的重传性能

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Ingemar Kaj, Taisiia Morozova
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引用次数: 0

摘要

假设在给定数据速率的下行链路网络中,发送方-接收方传输链路受到衰减、路径损耗和小区间干扰的影响,传输要么通过,要么丢失,要么产生重传延迟。我们引入了一种方法来获取处理缓冲工作所需的系统平均活动水平,并由此得出覆盖概率和关键性能指标。该技术涉及一系列静态缓冲区分布,用于反复求解未知忙链路概率的非线性平衡方程,然后确定吞吐量、损失概率和延迟。这些结果允许对性能指标进行直接的数值研究,在特殊情况下是明确的,并可轻松用于研究可靠性、延迟和数据速率之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retransmission performance in a stochastic geometric cellular network model

Suppose sender–receiver transmission links in a downlink network at a given data rate are subject to fading, path loss, and inter-cell interference, and that transmissions either pass, suffer loss, or incur retransmission delay. We introduce a method to obtain the average activity level of the system required for handling the buffered work and from this derive the resulting coverage probability and key performance measures. The technique involves a family of stationary buffer distributions which is used to solve iteratively a nonlinear balance equation for the unknown busy-link probability and then identify throughput, loss probability, and delay. The results allow for a straightforward numerical investigation of performance indicators, are in special cases explicit and may be easily used to study the trade-off between reliability, latency, and data rate.

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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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