Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks

碩士 === 元智大學 === 資訊工程學系 === 97 === In this paper, we consider an uplink multiservice networks employing Orthogonal Frequency Division Multiple Access (OFDMA) for WiMAX networks. Since the OFDMA physical resource available for scheduling is frame by frame, the uplink scheduler located at base station...

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Main Authors: Chih-Wei Huang, 黃志偉
Other Authors: 黃依賢
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/57787754855795994199
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spelling ndltd-TW-097YZU053920682016-05-04T04:17:10Z http://ndltd.ncl.edu.tw/handle/57787754855795994199 Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks 運作於OFDMA架構之WiMAX環境下以訊框為基礎的上鏈傳輸演算法 Chih-Wei Huang 黃志偉 碩士 元智大學 資訊工程學系 97 In this paper, we consider an uplink multiservice networks employing Orthogonal Frequency Division Multiple Access (OFDMA) for WiMAX networks. Since the OFDMA physical resource available for scheduling is frame by frame, the uplink scheduler located at base station (BS) must efficiently allocate available resources to the subscriber stations (SSs) in response to constant or bursty data traffic on a per-frame basis. In general, voice and video packets are generated periodically with fixed size packets (i.e. UGS) or periodic variable sizes packets due to coding technologies. Therefore, we propose a uplink scheduling strategy jointing bandwidth allocation and excess bandwidth compensation considering both short-term and long-term periods. Besides, this strategy grants the available resource for real-time and non-real-time traffics, called Frame-based Adaptive Bandwidth Allocation (FBABA) and Minimum Guarantee and Weight-based Bandwidth Allocation (MGWBA), respectively. Simulation results show our algorithm achieves QoS guaranteed, efficient resource allocation and high system throughput. 黃依賢 2009 學位論文 ; thesis 24 en_US
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description 碩士 === 元智大學 === 資訊工程學系 === 97 === In this paper, we consider an uplink multiservice networks employing Orthogonal Frequency Division Multiple Access (OFDMA) for WiMAX networks. Since the OFDMA physical resource available for scheduling is frame by frame, the uplink scheduler located at base station (BS) must efficiently allocate available resources to the subscriber stations (SSs) in response to constant or bursty data traffic on a per-frame basis. In general, voice and video packets are generated periodically with fixed size packets (i.e. UGS) or periodic variable sizes packets due to coding technologies. Therefore, we propose a uplink scheduling strategy jointing bandwidth allocation and excess bandwidth compensation considering both short-term and long-term periods. Besides, this strategy grants the available resource for real-time and non-real-time traffics, called Frame-based Adaptive Bandwidth Allocation (FBABA) and Minimum Guarantee and Weight-based Bandwidth Allocation (MGWBA), respectively. Simulation results show our algorithm achieves QoS guaranteed, efficient resource allocation and high system throughput.
author2 黃依賢
author_facet 黃依賢
Chih-Wei Huang
黃志偉
author Chih-Wei Huang
黃志偉
spellingShingle Chih-Wei Huang
黃志偉
Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks
author_sort Chih-Wei Huang
title Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks
title_short Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks
title_full Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks
title_fullStr Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks
title_full_unstemmed Frame-based Adaptive Uplink Scheduling Algorithm in OFDMA-based WiMAX Networks
title_sort frame-based adaptive uplink scheduling algorithm in ofdma-based wimax networks
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/57787754855795994199
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AT chihweihuang yùnzuòyúofdmajiàgòuzhīwimaxhuánjìngxiàyǐxùnkuāngwèijīchǔdeshàngliànchuánshūyǎnsuànfǎ
AT huángzhìwěi yùnzuòyúofdmajiàgòuzhīwimaxhuánjìngxiàyǐxùnkuāngwèijīchǔdeshàngliànchuánshūyǎnsuànfǎ
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