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  • 學位論文

基於隨機幾何之p持續載波偵測多重存取稠密網路效能分析

A Stochastic Geometry Based Evaluation of Dense p-persistent CSMA Networks

指導教授 : 陳光禎

摘要


無線區域網路愈來愈普及,伴隨而來的問題是使用者間更多的干擾與競爭。在一個稠密的網路分布之下,資源有效與公平的分配成為一個重要的問題。在這篇文章中,我們利用模擬,分析在各種網路拓樸下,$p$-持續載波偵測多重存取對於資源分配的有效性。模擬結果顯示,在稠密分布的網路中,$p$-持續載波偵測多重存取無法公平地提供其使用者適當的效能表現,僅有距離接入點一定距離內的使用者能獲得足夠的資源支持其所需的服務質量。未來我們將提出適當的演算法解決以上現象所造成的網路覆蓋性問題。

並列摘要


Wireless local area networks are becoming popular and more access points are densely deployed in relatively small areas. Under dense network settings, the interference and contention among users and access points have to be addressed. In this work, we use simulation to evaluate the performance of p-persistent CSMA under different scenarios. The results show that p-persistent CSMA do not provide enough performance and coverage in dense networks. In able to provide fair QoS to users in CSMA based networks, new algorithms and techniques have to be developed.

並列關鍵字

CSMA p-persistent CSMA dense performance evaluation

參考文獻


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