SMPCS: sub-optimal model predictive control scheduler

  • Authors:
  • Mehran Mahramian;Hassan Taheri;Mohammad Haeri

  • Affiliations:
  • Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran;Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran;Electrical Engineering Department, Sharif University of Technology, Tehran, Iran

  • Venue:
  • NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
  • Year:
  • 2006

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Abstract

An approximated quadratic programming algorithm is proposed to determine a model predictive controller, which is applied to the scheduling problem. We name the algorithm Sub-optimal Model Predictive Control Scheduler (SMPCS). The SMPCS prepares a platform to guarantee end to end proportional delay in DiffServ architecture. This paper investigates the complication of SMPCS and its implementation problems in high speed routers. In order to efficiently implement the controller we admit sub-optimal results against reduction in the complexity of the optimizer. Simulation results show that the proposed approximation improves speed of the controller considerably.