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ZTE Communications ›› 2018, Vol. 16 ›› Issue (2): 16-22.DOI: 10.3969/j.issn.1673-5188.2018.02.004

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  • 收稿日期:2017-12-04 出版日期:2018-06-25 发布日期:2019-12-12

Energy-Efficient Wireless Backhaul Algorithm in Ultra-Dense Networks

FENG Hong, LI Xi, ZHANG Heli, CHEN Shuying, JI Hong   

  1. Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2017-12-04 Online:2018-06-25 Published:2019-12-12
  • About author:FENG Hong (fenghong@bupt.edu.cn) received the B.E. degree in communication engineering from University of Science and Technology Beijing, China in 2015. He is currently working toward his master degree in information and communication engineering at Beijing University of Posts and Telecommunications, China. His research interests include wireless networking and communications and networking in 5G. He has published a paper at Chinacom 2017 and applied a patent in UDN fields.|LI Xi (lixi@bupt.edu.cn) received the B.E. and Ph.D. degrees in communication and information system from Beijing University of Posts and Telecommunications (BUPT), China in 2005 and 2010, respectively. She is currently an associate professor with the School of Information and Communication Engineering, BUPT. She has authored or co-authored over 100 papers in international journals and conferences. Her current research interests include resource management and networking in 5G, cloud computing, edge caching, and mobile Internet. She served as the chair of special track on cognitive testbed at the Chinacom 2011, the TPC member of many international conferences, including WCNC’ 16/15/14/12, PIMRC’ 18/17/12, Globecom’ 18/17/15, ICC’ 18/17/16/15, INFOCOM’ 18, and CloudCom’ 15/14/13, and peer-reviewer of several academic journals, such as IEEE Communication Letter, Transactions on Vehicular Technology, Wireless Communication Magazine, Journal on Selected Areas in Communications, and IEEE Access.|ZHANG Heli (zhangheli@bupt.edu.cn) received the B.S. degree in communication engineering from Central South University, China in 2009, and the Ph.D. degree in communication and information systems from Beijing University of Posts and Telecommunications, China in 2014. Since 2014, she has been a lecturer with the School of Information and Communication Engineering, BUPT. She has served as the reviewer of several academic journals, such as IEEE Wireless Communications, IEEE Communication Magazine, IEEE Transactions on Vehicular Technology, IEEE Communication Letters, and IEEE Transactions on Networking. She participated in many national projects funded by National Science and Technology Major Project, National “863” Hightech, and National Natural Science Foundation of China, and cooperated with many corporations in research. Her current research interests include heterogeneous networks, cognitive radio, resource management, cooperative communications, small cells, and mobile cloud computing.|CHEN Shuying (sychen@bupt.edu.cn) received the B.E. degree in communications engineering from Beijing University of Posts and Telecommunications (BUPT), China in 2017. She is currently working toward her M.S. degree in electronic and communication engineering at the Key Laboratory of Universal Wireless Communication, BUPT. Her research interests include the ultra-dense network (UDN) and resource management in 5G system.|JI Hong (jihong@bupt.edu.cn) received the B.S. degree in communications engineering and the M.S. and Ph.D. degrees in information and communications engineering from Beijing University of Posts and Telecommunications (BUPT), China in 1989, 1992, and 2002, respectively. In 2006, she was a visiting scholar with the University of British Columbia, Vancouver, Canada. She is currently a professor with BUPT. She has authored over 300 journal/conference papers. Several of her papers were selected for best papers. Her research interests are in the areas of wireless networks and mobile systems, including green communications, radio access, ICT applications, system architectures, cloud computing, software-defined networks, management algorithms, and performance evaluations. She has served as the co-chair at the Chinacom’11, and a member of the Technical Program Committee of ISCIT’17, GC’17 Workshops, Globecom’16/15/14/13/12/11, ICC’13/12/11, IEEE VTC’12S, and WCNC’15/12. She is serving on the editorial boards of the IEEE Transaction on Green Communications and Networking and the Wiley International Journal of Communication Systems. She has guest-edited the Wiley International Journal of Communication Systems, with a special issue on Mobile Internet: Content, Security and Terminal.
  • Supported by:
    This work is jointly supported by the National Natural Science Foundation of China under Grant(Nos. 61771070);This work is jointly supported by the National Natural Science Foundation of China under Grant(61671088);the National Science and Technology Major Project under Grant(No. 2016ZX03001017)

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Abstract:

Ultra-dense networks (UDNs) are expected to be applied for the fifth generation wireless system (5G) to meet the requirements of very high throughput density and connections of a massive number of users. Considering the large amount of small base stations (SBSs), how to choose proper backhaul links is an important problem under investigation. In this paper, we propose a wireless backhaul algorithm to find an effective backhaul method for densely-deployed SBSs and to maximize energy efficiency of the system. We put forward adaptive backhaul methods of indirect and direct modes. The SBS can select the direct backhaul which connects to the macro base station (MBS) directly, or the indirect backhaul which selects an idle SBS as a relay based on the backhaul channel condition. The algorithm also allocates network resources, including the power of SBSs and system bandwidth, to solve the serious interference problem in UDN. Finally, the simulation results show that the proposed wireless backhaul algorithm has desired performance to achieve higher energy efficiency with required data rate.

Key words: UDN, wireless backhaul, energy efficiency, recourse allocation