High Utilization Resource Allocation and Performance Evaluation for GPRS Networks

碩士 === 國立臺北科技大學 === 資訊工程系碩士班 === 92 === The objective of this thesis is to study the strategiey of resource allocation for GPRS downlink traffic, and to evaluate system performance under various traffic conditions. Unlike the timeslot-based resource allocation, we propose radio-block based resource...

Full description

Bibliographic Details
Main Authors: Chen-Nien Tsai, 蔡鎮年
Other Authors: Kai-Wei Ke
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/74490800275416698787
id ndltd-TW-092TIT00392010
record_format oai_dc
spelling ndltd-TW-092TIT003920102016-06-15T04:17:51Z http://ndltd.ncl.edu.tw/handle/74490800275416698787 High Utilization Resource Allocation and Performance Evaluation for GPRS Networks 無線分封數據服務網路之高使用率資源分配策略與效能評估 Chen-Nien Tsai 蔡鎮年 碩士 國立臺北科技大學 資訊工程系碩士班 92 The objective of this thesis is to study the strategiey of resource allocation for GPRS downlink traffic, and to evaluate system performance under various traffic conditions. Unlike the timeslot-based resource allocation, we propose radio-block based resource allocation strategies, which more suitable in practical multiplexing case, to allocate radio resource. Furthermore, we also consider two different ways to scheme time slots in a TDMA frame, that is, complete partitioning and partial sharing, and evaluate the performances which come out. By building analytical model and software simulation, we can prove that the resource allocation strategies we proposed have high utilization characteristic. We also evaluate the influence of offered load on utilization and blocking probability for different strategies. We found that partial sharing will outperform complete partitioning. Kai-Wei Ke 柯開維 2004 學位論文 ; thesis 81 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北科技大學 === 資訊工程系碩士班 === 92 === The objective of this thesis is to study the strategiey of resource allocation for GPRS downlink traffic, and to evaluate system performance under various traffic conditions. Unlike the timeslot-based resource allocation, we propose radio-block based resource allocation strategies, which more suitable in practical multiplexing case, to allocate radio resource. Furthermore, we also consider two different ways to scheme time slots in a TDMA frame, that is, complete partitioning and partial sharing, and evaluate the performances which come out. By building analytical model and software simulation, we can prove that the resource allocation strategies we proposed have high utilization characteristic. We also evaluate the influence of offered load on utilization and blocking probability for different strategies. We found that partial sharing will outperform complete partitioning.
author2 Kai-Wei Ke
author_facet Kai-Wei Ke
Chen-Nien Tsai
蔡鎮年
author Chen-Nien Tsai
蔡鎮年
spellingShingle Chen-Nien Tsai
蔡鎮年
High Utilization Resource Allocation and Performance Evaluation for GPRS Networks
author_sort Chen-Nien Tsai
title High Utilization Resource Allocation and Performance Evaluation for GPRS Networks
title_short High Utilization Resource Allocation and Performance Evaluation for GPRS Networks
title_full High Utilization Resource Allocation and Performance Evaluation for GPRS Networks
title_fullStr High Utilization Resource Allocation and Performance Evaluation for GPRS Networks
title_full_unstemmed High Utilization Resource Allocation and Performance Evaluation for GPRS Networks
title_sort high utilization resource allocation and performance evaluation for gprs networks
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/74490800275416698787
work_keys_str_mv AT chennientsai highutilizationresourceallocationandperformanceevaluationforgprsnetworks
AT càizhènnián highutilizationresourceallocationandperformanceevaluationforgprsnetworks
AT chennientsai wúxiànfēnfēngshùjùfúwùwǎnglùzhīgāoshǐyònglǜzīyuánfēnpèicèlüèyǔxiàonéngpínggū
AT càizhènnián wúxiànfēnfēngshùjùfúwùwǎnglùzhīgāoshǐyònglǜzīyuánfēnpèicèlüèyǔxiàonéngpínggū
_version_ 1718306485501427712