A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System

doi:10.1109/TSMC.2018.2817586

	A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System
	Yu, Junzhi1 ; Han, Song 2; Li, Xinbin 2
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2020-07-01
卷号	50 期号:7 页码:2445-2455
通讯作者	Yu, Junzhi(junzhi.yu@ia.ac.cn) ; Han, Song(hansongysu@sina.cn)
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.
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
关键词[WOS]	POWER ALLOCATION ; SUBCHANNEL
收录类别	SCI
语种	英语
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]
项目资助者	National Natural Science Foundation of China ; Graduate Student Innovation Project of Hebei Province
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000544033400012
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40106
专题	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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.