752 research outputs found
Efficient Resource Management Mechanism for 802.16 Wireless Networks Based on Weighted Fair Queuing
Wireless Networking continues on its path of being one of the most commonly used means of communication. The evolution of this technology has taken place through the design of various protocols. Some common wireless protocols are the WLAN, 802.16 or WiMAX, and the emerging 802.20, which specializes in high speed vehicular networks, taking the concept from 802.16 to higher levels of performance. As with any large network, congestion becomes an important issue. Congestion gains importance as more hosts join a wireless network. In most cases, congestion is caused by the lack of an efficient mechanism to deal with exponential increases in host devices. This can effectively lead to very huge bottlenecks in the network causing slow sluggish performance, which may eventually reduce the speed of the network. With continuous advancement being the trend in this technology, the proposal of an efficient scheme for wireless resource allocation is an important solution to the problem of congestion. The primary area of focus will be the emerging standard for wireless networks, the 802.16 or “WiMAX”. This project, attempts to propose a mechanism for an effective resource management mechanism between subscriber stations and the corresponding base station
Channel Aware Uplink Scheduler for a Mobile Subscriber Station of IEEE 802.16e
The scheduling part of the IEEE 802.16 (WiMAX) standards
is kept as an open issue to provide differentiation among
equipment manufacturers and operators. The uplink
scheduling is very significant and more complex compared
to downlink scheduling. Uplink scheduling is divided into
two parts; one is scheduling the resources among many users
from a base station (BS) and the other is sharing the
resources among its services in a single user. BS uplink
scheduling has been given more attention compared to
subscriber station (SS) uplink scheduling. SS scheduler
plays a significant role in providing the quality of service
(QoS) among its services. The channel status awareness is
vital in designing the SS scheduler as the channel conditions vary for a mobile user. This work proposes a scheduling algorithm for SS, which utilizes the channel information and queue length variation for the reallocation of received aggregated bandwidth grant to optimize the QoS parameters. The performance of the proposed algorithm is studied by conducting simulations using QualNet 5.0.2 simulation tool. Simulation results demonstrate the effectiveness of the proposed algorithm to improve the QoS
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