Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems

碩士 === 國立清華大學 === 通訊工程研究所 === 100 === In this thesis, we consider the fairness issue in the resource allocation scheme for cellular downlink OFDMA systems. The conventional max-min fair approach simply leads to an equal rate result for each user. Consequently, the different rate demands among users...

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Main Author: 曹哲儒
Other Authors: 吳仁銘
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/41112495119809452787
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spelling ndltd-TW-100NTHU56501112015-10-13T21:27:24Z http://ndltd.ncl.edu.tw/handle/41112495119809452787 Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems 考慮最低機會成本之可調式公平資源分配於多用戶正交分頻多工系統 曹哲儒 碩士 國立清華大學 通訊工程研究所 100 In this thesis, we consider the fairness issue in the resource allocation scheme for cellular downlink OFDMA systems. The conventional max-min fair approach simply leads to an equal rate result for each user. Consequently, the different rate demands among users are not well taken care of. On the other hand, the fairness and the overall throughput trade off. The fairness index is adjustable and the equal-rate fairness is one of the special case. In this thesis, the max-min weighted surplus rate fairness is presented. In this formulation, the adjustable fairness and different rate demands for individual user are considered. Since the problem is NP-hard, a resource allocation algorithm for general max-min problem is proposed. In this algorithm, we take care of conflicts in subcarrier assignments and design a penalty criteria to explore the opportunity cost, As result, better throughput-fairness region is achieved. The mathematical analysis for the proposed algorithm is devised. The effectiveness of the proposed algorithm has been verified numerically under various channel models with comparison to the conventional Greedy and Vogel's approaches. 吳仁銘 2012 學位論文 ; thesis 47 en_US
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description 碩士 === 國立清華大學 === 通訊工程研究所 === 100 === In this thesis, we consider the fairness issue in the resource allocation scheme for cellular downlink OFDMA systems. The conventional max-min fair approach simply leads to an equal rate result for each user. Consequently, the different rate demands among users are not well taken care of. On the other hand, the fairness and the overall throughput trade off. The fairness index is adjustable and the equal-rate fairness is one of the special case. In this thesis, the max-min weighted surplus rate fairness is presented. In this formulation, the adjustable fairness and different rate demands for individual user are considered. Since the problem is NP-hard, a resource allocation algorithm for general max-min problem is proposed. In this algorithm, we take care of conflicts in subcarrier assignments and design a penalty criteria to explore the opportunity cost, As result, better throughput-fairness region is achieved. The mathematical analysis for the proposed algorithm is devised. The effectiveness of the proposed algorithm has been verified numerically under various channel models with comparison to the conventional Greedy and Vogel's approaches.
author2 吳仁銘
author_facet 吳仁銘
曹哲儒
author 曹哲儒
spellingShingle 曹哲儒
Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems
author_sort 曹哲儒
title Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems
title_short Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems
title_full Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems
title_fullStr Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems
title_full_unstemmed Adjustable Fairness Resource Allocation with Minimum Opportunity Cost for Multiuser OFDMA Systems
title_sort adjustable fairness resource allocation with minimum opportunity cost for multiuser ofdma systems
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/41112495119809452787
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