Title

Dynamic Resource Allocation for Improved QoS in WiMAX/WiFi Integration

Document Type

Book Chapter

Publisher

Springer

Editor(s)

Roger Lee

Faculty

Faculty of Computing, Health and Science

School

School of Engineering (SOE) / Centre for Communications Engineering Research

RAS ID

13262

Comments

This chapter was originally published as: Rabbani, M., Kamruzzaman, J., Gondal, I., Ahmad, I. , & Hassan, M. (2011). Dynamic resource allocation for improved QoS in WiMAX/WiFi integration. In Roger Lee (Eds.). Studies in Computational Intelligence (pp. 25-40). Springer. Original book available here

Abstract

Wireless access technology has come a long way in its relatively short but remarkable lifetime, which has so far been led by WiFi technology. WiFi enjoys a high penetration in the market. Most of the electronic gadgets such as laptop, notepad, mobile set, etc., boast the provision ofWiFi. Currently mostWiFi hotspots are connected to the Internet via wired connections (e.g., Ethernet), and the deployment cost of wired connection is high. On the other hand, since WiMAX can provide a high coverage area and transmission bandwidth, it is very suitable for the backbone networks of WiFi. WiMAX can also provide the better QoS needed for many 4G applications. WiMAX devices, however, are not as common as WiFi devices and it is also expensive to deploy aWiMAX-only infrastructure. An integrated WiMAX/WiFi architecture (using WiMAX as backhaul connection for WiFi) can support 4G applications with QoS assurance and mobility, and provide high-speed broadband services in rural, regional and urban areas while reducing the backhaul cost. WiMAX and WiFi have different MAC mechanisms to handle QoS. WiMAX MAC architecture is connection-oriented providing the platform for strong QoS control. In contrast,WiFi MAC is not connection-oriented, hence can provide only best effort services. Delivering improved QoS in an integrated WiMAX/WiFi architecture poses a serious technological challenge. The paper depicts a converged architecture of WiMAX and WiFi, and then proposes an adaptive resource distribution model for the access points. The resource distribution model ultimately allocates more time slots to those connections that need more instantaneous resources to meet QoS requirements. A dynamic splitting technique is also presented that divides the total transmission period into downlink and uplink transmission by taking the minimum data rate requirements of the connections into account. This ultimately improves the utilization of the available resources, and the QoS of the connections. Simulation results show that the proposed schemes significantly outperform the other existing resource sharing schemes, in terms of maintaining QoS of different traffic classes in an integrated WiMAX/WiFi architecture.