A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System
文献类型：期刊论文
| 作者 | Yu, Junzhi2 ; Han, Song1; Li, Xinbin1
|
| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 50期号:7页码:2445-2455 |
| ISSN号 | 2168-2216 |
| 关键词 | Resource management Games Robustness Femtocell networks Uncertainty Interference Downlink Communication systems femtocell networks game theory hierarchical systems joint resource allocation |
| DOI | 10.1109/TSMC.2018.2817586 |
| 通讯作者 | Yu, Junzhi(junzhi.yu@ia.ac.cn) ; Han, Song(hansongysu@sina.cn) |
| 英文摘要 | Femtocell is a promising technology for wireless service networks to facilitate sustainable and efficient services for users. This paper deals with a downlink joint channel assignment and power allocation problem with multiple channels, users, constraints, and uncertainties in the orthogonal frequency division of a multiple-access hierarchical femtocell network system. Specifically, a hierarchical robust Stackelberg game, which aims to achieve robust equilibrium, is first proposed for resource allocation with uncertainties. Then, a low-complexity, low-interference, high-efficiency, and high-performance algorithm is presented to handle the complex robust joint allocation problem. Considering the demand capacity of macro-base stations, an efficient fitness function in conjunction with particle swarm optimization-constriction factor, is utilized to yield the best response in the upper game to satisfy multiple constraints. Meanwhile, an iterative waterfilling algorithm is exploited to achieve the best response of femto-base stations in the lower game. Lastly, a stop protocol is established for two-tier users to accomplish an efficient robust Stackelberg equilibrium. Comparative results demonstrated that the proposed algorithm is superior to the existing game-based algorithms. |
| WOS关键词 | POWER ALLOCATION ; SUBCHANNEL |
| 资助项目 | National Natural Science Foundation of China[61571387] ; National Natural Science Foundation of China[61633020] ; National Natural Science Foundation of China[61725305] ; National Natural Science Foundation of China[61633017] ; Graduate Student Innovation Project of Hebei Province[2016SJBS019] |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000544033400012 |
| 资助机构 | National Natural Science Foundation of China ; Graduate Student Innovation Project of Hebei Province |
| 源URL | [http://ir.ia.ac.cn/handle/173211/40105]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室 |
| 通讯作者 | Yu, Junzhi; Han, Song |
| 作者单位 | 1.Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Junzhi,Han, Song,Li, Xinbin. A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2020,50(7):2445-2455. |
| APA | Yu, Junzhi,Han, Song,&Li, Xinbin.(2020).A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,50(7),2445-2455. |
| MLA | Yu, Junzhi,et al."A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 50.7(2020):2445-2455. |
入库方式： OAI收割
来源：自动化研究所
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