DOI QR코드

DOI QR Code

Adaptive Resource Allocation for Traffic Flow Control in Hybrid Networks

  • Son, Sangwoo (Dept. of Electronics Computer Engineering, University of Hanyang) ;
  • Rhee, Byungho (Dept. of Electronics Computer Engineering, University of Hanyang)
  • Received : 2012.05.10
  • Accepted : 2012.12.21
  • Published : 2013.01.31

Abstract

Wireless network systems provide fast data transmission rates and various services to users of mobile devices such as smartphones and smart pads. Because many people use high-performance mobile devices, the use of real-time multimedia services is increasing rapidly. However, the preoccupation of resources by real-time traffic users is causing harm to other services-for example, frequent call interference, lowered service quality, and poor network performance. This paper suggests a resource allocation algorithm for effective traffic service support in a hybrid network. The main objective is to obtain an optimum value of data rates by comparing user requirements with the amount of resources that can be allocated. A new mechanism based on Adaptive-Quality of Service (QoS) and a monitoring system based on Queue-Aware are proposed. Adaptive-QoS supports effective resource control according to the type of traffic service, and the monitoring system based on Queue-Aware measures the amount of resources in order to calculate the maximum that can be allocated. We apply our algorithm to a test system and use Qualnet 4.5.1 to evaluate its performance.

Keywords

References

  1. M. Taktam, F. Vasilis, and A. Hamid, "TCP-aware Resource Allocation in Wireless Networks via Utility Maximisation,", WWRF 22th, Paris, France, 2009
  2. F. Sally and J. Van, "Link-sharing and Resource Management Models for Packet Networks,", IEEE/ACM Transactions on Networking, Vol. 3, August 1995.
  3. C.Yaxin, L. Victor O, and C. Zhigang, "Scheduling Delay-Sensitive and Best-Effort Traffics in Wirelss Networks,", IEEE, 2003
  4. X. Liang, S. Xuemin, and M. Jon, "Dynamic Bandwidth Allocation with Fair Scheduling for WCDMA Systems,", IEEE Wireless Communications, April 2002
  5. W. Kun-Da and L. Wanjiun, "Flow Allocation in Multi-hop Wireless Networks: A Cross-Layer Approach,", IEEE 2008
  6. S. Guocong, L. Ye, C. Leonard, and Z. Haitao, "Joint Channel-Aware and Queue-Aware Data Scheduling in Multiple Shared Wireless Channels,", IEEE Communications Society, WCNC 2004
  7. K. Wen-Hsing and L. Wanjiun, "Utility-Based Resource Allocation in Wireless Networks,", IEEE 2007
  8. K. Wen-Hsing and L. Wanjiun, "Utility-Based Radio Resource Allocation for QoS Traffic in Wireless Networks,", IEEE 2008
  9. L. JeongHwan, K. SungKyung, T. YongJoo, and K. ChungGu, "Packet Scheduling Algorithm for Non-real-time Traffic with Soft QoS Requirement for Delay Constraint in Broadband Mobile Internet Access Network,",2004
  10. C. Moonjeong, L. Hyunjeong and L. Meejeong, "A per-application mobility management platform for application-specific handover decision in overlay networks,", Computer Networks 53, 2009
  11. 3GPP, "Range of QoS Requirements", TS 22.105, 2004