Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method

碩士 === 國立臺灣科技大學 === 電子工程系 === 101 === Multi-channel slotted ALOHA is the main channel access scheme for the random access channels of the next generation cellular networks. Seo and Leung [1] proposed a novel Markov-chain-based analytical model to analyze the performance of multi-channel slotted ALOH...

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Main Authors: Che-Yuan Chiang, 江哲元
Other Authors: Ray-Guang Cheng
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/75144211451774381194
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spelling ndltd-TW-101NTUS54280882016-03-21T04:28:01Z http://ndltd.ncl.edu.tw/handle/75144211451774381194 Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method 利用遞迴式競爭用戶估計法之多通道時槽阿羅哈效能分析 Che-Yuan Chiang 江哲元 碩士 國立臺灣科技大學 電子工程系 101 Multi-channel slotted ALOHA is the main channel access scheme for the random access channels of the next generation cellular networks. Seo and Leung [1] proposed a novel Markov-chain-based analytical model to analyze the performance of multi-channel slotted ALOHA adopting uniform backoff and exponential backoff policies. The model is developed assuming that each terminal adopts a delay-first transmission (i.e., performs random backoff before transmitting a new packet. However, this assumption is not always enforced in all networks. This paper presents a difference-equation-based analytical model to solve the same problem considered in [1]. The proposed model is developed based on an iterative contending-user estimation method and it can be applied for general networks with or without the delay-first transmission. Computer simulations were conducted to verify the accuracy of the analysis. The results show that the proposed model can accurately e7stimate the system throughput, average access delay, and packet-dropping probability of the networks Ray-Guang Cheng 鄭瑞光 2013 學位論文 ; thesis 29 en_US
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language en_US
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description 碩士 === 國立臺灣科技大學 === 電子工程系 === 101 === Multi-channel slotted ALOHA is the main channel access scheme for the random access channels of the next generation cellular networks. Seo and Leung [1] proposed a novel Markov-chain-based analytical model to analyze the performance of multi-channel slotted ALOHA adopting uniform backoff and exponential backoff policies. The model is developed assuming that each terminal adopts a delay-first transmission (i.e., performs random backoff before transmitting a new packet. However, this assumption is not always enforced in all networks. This paper presents a difference-equation-based analytical model to solve the same problem considered in [1]. The proposed model is developed based on an iterative contending-user estimation method and it can be applied for general networks with or without the delay-first transmission. Computer simulations were conducted to verify the accuracy of the analysis. The results show that the proposed model can accurately e7stimate the system throughput, average access delay, and packet-dropping probability of the networks
author2 Ray-Guang Cheng
author_facet Ray-Guang Cheng
Che-Yuan Chiang
江哲元
author Che-Yuan Chiang
江哲元
spellingShingle Che-Yuan Chiang
江哲元
Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method
author_sort Che-Yuan Chiang
title Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method
title_short Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method
title_full Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method
title_fullStr Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method
title_full_unstemmed Performance Analysis of Multi-channel Slotted ALOHA System using Iterative Contending-user Estimation Method
title_sort performance analysis of multi-channel slotted aloha system using iterative contending-user estimation method
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/75144211451774381194
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