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...
Main Authors: | , |
---|---|
Other Authors: | |
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 |