PRIORITY BASED UPLINK SCHEDULER FOR IEEE 802.16 NETWORKS
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 6
Abstract
IEEE 802.16, the standard for fixed, portable and mobile Broadband Wireless Access (BWA) systems, is promising to support different classes of traffic with Quality of Service (QoS). The Medium Access Control (MAC) protocol defines a wide variety of mechanisms for bandwidth allocation and QoS provision. However, the details of how to schedule traffic are left unspecified. In this paper, we propose a scheduling strategy for uplink traffic. Simulation results show that our scheme is capable to provide required QoS.
Authors and Affiliations
Gurpreet Singh , Akashdeep
A Handoff Technique to Reduce False-Handoff Probability in Next Generation Wireless Networks
Next Generation Wireless Systems (NGWS) include o-existence of current wireless technologies such as WLANs, WiMAX, General Packet Radio Service (GPRS) and Universal obile Telecommunications System (UMTS). The most impo...
EFFICIENT TRANSACTION REDUCTION IN ACTIONABLE PATTERN MINING FOR HIGH VOLUMINOUS DATASETS BASED ON BITMAP AND CLASS LABELS
Frequent pattern mining in databases plays an indispensable role in many data mining tasks namely, classification, clustering, and association rules analysis. When a large number of item sets are processed by the databas...
FREQUENT PATTERN MINING FOR EFFICIENT LIBRARY MANAGEMENT
Data mining is used to extract meaningful information and to develop significant relationships among variables stored in large data sets involving methods from statistics and artificial intelligence but also management....
The CAC Model and QoS Management in Wireless Multiservice Network
Abstract—Call admission control (CAC) is a key for ensuring the quality of service (QoS) in wireless multiservice network. With the advances in wireless communication technology and the growing interest in deploying mult...
A Novel Approach to Clustering of Proteins
Data Analysis plays an indispensable role for understanding various phenomena. Clustering algorithms are a class of important tools for data analysis. K-means cluster analysis is considered to cluster protein variates ac...