气候变化领域集成服务门户(CCPortal): A Survey on Applications of Deep Reinforcement Learning in Resource Management for 5G Heterogeneous Networks

CCPortal

	A Survey on Applications of Deep Reinforcement Learning in Resource Management for 5G Heterogeneous Networks
	Lee, Ying Loong; Qin, Donghong
发表日期	2019
ISSN	2309-9402
起始页码	1856
结束页码	1862
英文摘要	Heterogeneous networks (HetNets) have been regarded as the key technology for fifth generation (5G) communications to support the explosive growth of mobile traffics. By deploying small-cells within the macrocells, the HetNets can boost the network capacity and support more users especially in the hotspot and indoor areas. Nonetheless, resource management for such networks becomes more complex compared to conventional cellular networks due to the interference arise between small-cells and macrocells, which thus making quality of service provisioning more challenging. Recent advances in deep reinforcement learning (DRL) have inspired its applications in resource management for 5G HetNets. In this paper, a survey on the applications of DRL in resource management for 5G HetNets is conducted. In particular, we review the DRL-based resource management schemes for 5G HetNets in various domains including energy harvesting, network slicing, cognitive HetNets, coordinated multipoint transmission, and big data. An insightful comparative summary and analysis on the surveyed studies is provided to shed some light on the shortcomings and research gaps in the current advances in DRL-based resource management for 5G HetNets. Last but not least, several open issues and future directions are presented.
WOS研究方向	Computer Science ; Engineering ; Imaging Science & Photographic Technology
WOS类目	Computer Science, Software Engineering ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
来源期刊	2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC)
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158808
作者单位	Lee, YL (corresponding author), Guangxi Univ Nationalities, Guangxi, Peoples R China.; Lee, YL (corresponding author), Univ Tunku Abdul Rahman, Kajang, Selangor, Malaysia.
推荐引用方式 GB/T 7714	Lee, Ying Loong,Qin, Donghong. A Survey on Applications of Deep Reinforcement Learning in Resource Management for 5G Heterogeneous Networks[J],2019.
APA	Lee, Ying Loong,&Qin, Donghong.(2019).A Survey on Applications of Deep Reinforcement Learning in Resource Management for 5G Heterogeneous Networks.2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC).
MLA	Lee, Ying Loong,et al."A Survey on Applications of Deep Reinforcement Learning in Resource Management for 5G Heterogeneous Networks".2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC) (2019).