Delay performance of backlog based random access

Author:

Bouman N.1,Borst S. C.2,van Leeuwaarden J. S.H.1

Affiliation:

1. Eindhoven University of Technology, EURANDOM

2. Eindhoven University of Technology, AlcatelLucent, Bell Labs

Abstract

Backlog-based CSMA strategies provide a popular mechanism for distributed medium access control in wireless networks. When suitably designed, such strategies offer the striking capability to match the optimal throughput performance of centralized scheduling algorithms in a wide range of scenarios. Unfortunately, however, the activation rules used in these schemes tend to yield excessive backlogs and delays. More aggressive activation rates can potentially improve the delay performance, but may not allow provable maximum-stability guarantees. In order to gain a fundamental understanding how the shape of the activation function affects the queueing behavior, we focus on a single- node scenario, thus separating the impact of the network topology. We demonstrate that three qualitatively different regimes can arise, depending on how rapidly the activation function increases with the backlog. Simulation experiments are conducted to validate the analytical findings.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of the shortest relay queue policy in a cooperative random access network with collisions;Queueing Systems;2019-10-25

2. A scaling analysis of a star network with logarithmic weights;Stochastic Processes and their Applications;2019-05

3. A node-based CSMA algorithm for improved delay performance in wireless networks;Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing;2016-07-05

4. Delay performance in random-access networks;Queueing Systems;2014-04-24

5. Queues with random back-offs;Queueing Systems;2013-10-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3