By Topic

On load adaptation for multirate multi-AP multimedia WLAN-based cognitive networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Eng Hwee Ong ; School of Electrical Engineering and Computer Science, University of Newcastle, Australia, NSW 2308 ; Jamil Y. Khan

The widespread use of IEEE 802.11 WLAN and the potential to deliver QoS demanding multimedia contents, with the advent of 802.11n standard, will position itself as one of the introductory de-facto wireless access networks in the emerging cognitive networks. Existing WLANs can be augmented with cognitive functionality by the introduction of cognitive radios. However, the frequency-agile cognitive radio supports dynamic spectrum access to channels, which are heterogeneous and have largely different propagation characteristics, from diverse parts of the available frequency spectrum. Although WLAN supports link adaptation in practice, most of the existing WLANs are DCF-based which will give rise to the well-known rate anomaly problem where the long-term throughput of stations are penalized by the lowest data rate peer under multirate operation. Hence, deploying a WLAN-based cognitive network results in nontrivial radio resource management. In this paper, we introduce the novel concept of load adaptation strategy (LAS) to manage dynamic channel conditions associated with multirate multi-AP multimedia WLAN-based cognitive network in a single unifying QoS framework. Particularly, we show that our distributed LAS arbitrates optimal load distribution by maintaining a QoS-balanced system through QoS-based handovers in an opportunistic yet altruistic manner. Through simulations, we show that rate anomaly in multirate environment can be mitigated, statistical QoS guarantee can be provisioned for multimedia traffic with QoS fairness and system capacity can be maximized.

Published in:

2009 2nd IFIP Wireless Days (WD)

Date of Conference:

15-17 Dec. 2009