A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks
Xiao, Zhu1,2; Li, Fancheng1; Jiang, Hongbo1,2; Bai, Jing3; Xu, Jisheng4; Zeng, Fanzi1; Liu, Min5
刊名IEEE INTERNET OF THINGS JOURNAL
2020-04-01
卷号7期号:4页码:2828-2839
关键词Energy cooperation heterogeneous networks (HetNets) information cooperation wireless energy transfer (WET)
ISSN号2327-4662
DOI10.1109/JIOT.2019.2962863
英文摘要With the ubiquitous demand for wireless communications, researchers have studied heterogeneous networks (HetNets) for years. Often the HetNets include a macrocell base station (MBS), several sets of macrocell users (MUs), a large number of femtocell base stations (FBSs), and femtocell users (secondary users), where the femtocells help the macrocell system relay the uplink or downlink traffic between the MUs and the MBS. In this article, we propose a novel joint information and energy cooperation method, with the aim of enhancing the spectrum and energy efficiency (EE) for cognitive HetNets. Specifically, the MUs and the femtocells harvest wireless energy from the radio frequency signal transmitted by MBS. By using the harvested energy, femtocells obtain the transmission opportunity to forward the signals of their serving users. We theoretically derive the theoretical expressions of the outage probabilities of the primary link as well as the secondary link. Then, we focus on investigating how to maximize EE by jointly considering time allocation and power control. Furthermore, we formulate the EE maximization problem, which contains the fractional form objective function and the linear inequality constraints and hence is nonconvex. To resolve this, we integrate the Dinkelbach method with convex optimization to derive the tractable and optimal solution. The numerical results demonstrate the simulations well match our theoretical analysis. Moreover, the results validate the feasibility of the proposed method for high-quality transmission without incurring extra energy consumption.
资助项目National Natural Science Foundation of China[61772184] ; National Natural Science Foundation of China[61732017] ; National Natural Science Foundation of China[61572219] ; Key Research and Development Project of Hunan Province of China[2018GK2014] ; Fund of State Key Laboratory of Geo-Information Engineering[SKLGIE2018-M-4-3] ; Open Fund of Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education[IPIU2019007] ; Fund of Hubei Key Laboratory of Transportation Internet of Things[WHUTIOT-2019004] ; Scientific Research Project of Department of the Natural Resources of Hunan Province[201910]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000537136400030
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/15277]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Jiang, Hongbo; Zeng, Fanzi
作者单位1.Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China
2.Wuhan Univ Technol, Hubei Key Lab Transportat Internet Things, Wuhan 430070, Peoples R China
3.Xidian Univ, Sch Artificial Intelligence, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China
4.Informat Ctr, Publ Secur Dept Hunan Prov, Changsha 410001, Peoples R China
5.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Xiao, Zhu,Li, Fancheng,Jiang, Hongbo,et al. A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks[J]. IEEE INTERNET OF THINGS JOURNAL,2020,7(4):2828-2839.
APA Xiao, Zhu.,Li, Fancheng.,Jiang, Hongbo.,Bai, Jing.,Xu, Jisheng.,...&Liu, Min.(2020).A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks.IEEE INTERNET OF THINGS JOURNAL,7(4),2828-2839.
MLA Xiao, Zhu,et al."A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks".IEEE INTERNET OF THINGS JOURNAL 7.4(2020):2828-2839.
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