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【图书馆系列讲座】如何高效查找中外文期刊论文
第467期“工物学术论坛”:The Semi-Digital Hadronic Calorimeter SDHCAL: Presen...
物理系colloquium: 自旋轨道相互作用与重离子碰撞过程整体极化效应
青少年自我控制:基因与环境的作用及其代际传递
报告题目:
Admission and Rate Control for Wireless Network
 报告人:
Xinbing Wang
报告时间:
2005-12-14 14:30
报告地点:
信息大楼(FIT)1—315
主办单位:
信息学院
  简介:

Abstract:

Traditional Call Admission Control (CAC) schemes only consider call level performance and are believed to be sufficient for the circuit-switched wireless network. Since the future wireless network will become packet-switched, the packet level performance cannot be ignored. This is especially true when the TCP-type of applications are running over such packet-switched wireless networks, because TCP congestion control algorithm will exhaust all the available resource until packet loss occurs. In order to regulate the TCP applications to friendly coexist with other types of services, we propose a TCP aware CAC scheme. We analyze the system performance in both traditional and realistic cases, respectively, and report that the exponential assumptions for service holding time in our analysis can be greatly relaxed due to so called ``insensitivity" property, which significantly expands the applicable situations of our results. Extensive simulations are presented under different scenarios to show that the proposed scheme can effectively improve the system performance in terms of call blocking probability, call level throughput (call/min) and link utilization.

 

Biography:

Xinbing Wang (SM’01) received the B.S. degree from the Department of Automation, Shanghai Jiaotong University, Shanghai, China, in 1998, and the M.S. degree from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, in 2001. He is currently a Ph.D. candidate major at the Department of Electrical and Computer Engineering, minor at Department of mathematics, North Carolina State University, Raleigh, NC.

His research interests include TCP Asymptotics Analysis; Wireless Capacity; Cross Layer Call Admission Control; Asymptotics Analysis of Hybrid systems; Congestion Control over Wireless Networks.

 

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