Abstract

In WiMAX 16m networks, buffer allocation is the major problem to be handled for offering Quality of Service (QoS). The lack of buffers increases the packet loss and queuing delay. In this study we propose a fuzzy based dynamic buffer management in WiMAX 16 m network. The Base Station (BS) estimates the parameters such as number of user requests, flow rate, queue length and received signal strength for each user and updates them periodically. When a request arrives at BS, buffer allocation factor is estimated by applying fuzzy logic over these parameters. Then the flow request with high buffer allocation factor is admitted first and rest of the flow requests waits in a queue. Upon new request arrival, if its buffer allocation factor is low, the request is rejected. Otherwise, the pending request packet in the queue is emptied on analyzing their channel condition and buffer is allocated for new request. By simulation results, we show that the proposed technique reduces packet losses.

Highlights

  • This reveals that the flow request with more Buffer Allocation Factor (BAF) is admitted and rest of the flow requests await in queue

  • When the number of traffic flows is increased, naturally the received bandwidth should increase gradually, as we can see from the Fig. 7

  • It can be seen that Fuzzy Based Dynamic Buffer Management (FBDBM) has received slightly more bandwidth when compared to Modified Weighted Round Robin (MWRR) scheme, since buffer space is allocated based on traffic rate and queue size for each Subscriber Station (SS)

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Summary

INTRODUCTION

An evolving technology for aiding the broadband wireless access in metropolitan area is IEEE 802.16 which is otherwise denoted as Worldwide Interoperability for Microwave Access (WiMAX) (Jin, 2010) This standard offers high range and speed in contrast to IEEE 802.11 (otherwise called as Wireless Local Area Networks, WLAN) WiMAX includes Subscriber Station (SS) and Base Station (BS). This network permits any two SSs to communicate directly when they are within transmission range of one another Else, another intermediate node is required to connect SS or BS (Mardini and Alfoul, 2011). Multipoint to Multipoint network: A network devoid of centralized BS and each SS possessing capacity to link directly to another SS or through intermediate SSs This network is otherwise called as mesh network (Mardini and Alfoul, 2011). The application of WiMAX includes supporting long transmission range and high data rate compared to cellular and WiFi network (Mardini and Alfoul, 2011)

Characteristics of WiMAX
WiMAX 16 m
Buffer Management
Problem Identification
Related Work
MATERIALS AND METHODS
Estimation of Channel Condition
Proposed Work
Fuzzification
Flow Rate
Queue Length
2.11. Buffer Allocation Factor
2.12. Inference Mechanism
2.13. Defuzzification
Simulation Model and Parameters
Performance Metrics
Average End-to-End Delay
Effect of Varying Transmission Rates
CONCLUSION
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