A new QoS arquitecture for WiMAX

This research proposes a quality of service (QoS)
architecture for WiMAX, including a contention period
management algorithm and a price-based scheduling
framework. With a derived probability-based optimal
contention window (P-OCW), we were able to devise a
contention slot allocation algorithm to allocate
contention minislots to flows based on P-OCW. In
addition, a price-based scheduling framework was
developed to provide price differentiation among
users. This scheduling framework was designed to work
using the TDD mode to take advantage of the adaptive
subframe size as well as schedulers of adaptive
price-based deficit round robin (AP-DRR) and
price-based distributed deficit round robin (APDDRR).
From simulation results, we strongly recommend the
use of our contention slot allocation algorithm and
adaptive price-based scheduling framework.

Autorentext

Jessica Acevedo(Peru) electronic engineer from the CatholicUniversity of Saint Marie and Master degree from the NationalTaiwan University of Science and Technology. Huei-Wen Ferng(Taiwan) electrical engineer from the NationalTsing Hwa University and Ph.D. degree from the National TaiwanUniversity. Award-winning from the Pan Wen-Yuan Foundation

Klappentext

This research proposes a quality of service (QoS)architecture for WiMAX, including a contention periodmanagement algorithm and a price-based schedulingframework. With a derived probability-based optimalcontention window (P-OCW), we were able to devise acontention slot allocation algorithm to allocatecontention minislots to flows based on P-OCW. Inaddition, a price-based scheduling framework wasdeveloped to provide price differentiation amongusers. This scheduling framework was designed to workusing the TDD mode to take advantage of the adaptivesubframe size as well as schedulers of adaptiveprice-based deficit round robin (AP-DRR) andprice-based distributed deficit round robin (APDDRR).From simulation results, we strongly recommend theuse of our contention slot allocation algorithm andadaptive price-based scheduling framework.