摘要
The Internet of things(IoT) as an important application of future communication networks puts a high premium on delay issues. Thus when Io T applications meet heterogeneous networks(HetNets) where macro cells are overlaid with small cells, some traditional problems need rethinking. In this paper, we investigate the delay-addressed association problem in two-tier Het Nets considering different backhaul technologies. Specifically, millimeter wave and fiber links are used to provide high-capacity backhaul for small cells. We first formulate the user association problem to minimize the total delay which depends on the probability of successful transmission, the number of user terminals(UTs), and the number of base stations(BSs). And then two algorithms for active mode and mixed mode are proposed to minimize the network delay. Simulation results show that algorithms based on mutual selection between UTs and BSs have better performance than those based on distance. And algorithms for mixed modes have less delay than those for active mode when the number of BSs is large enough, compared to the number of UTs.
The Internet of things（IoT） as an important application of future communication networks puts a high premium on delay issues. Thus when Io T applications meet heterogeneous networks（HetNets） where macro cells are overlaid with small cells, some traditional problems need rethinking. In this paper, we investigate the delay-addressed association problem in two-tier Het Nets considering different backhaul technologies. Specifically, millimeter wave and fiber links are used to provide high-capacity backhaul for small cells. We first formulate the user association problem to minimize the total delay which depends on the probability of successful transmission, the number of user terminals（UTs）, and the number of base stations（BSs）. And then two algorithms for active mode and mixed mode are proposed to minimize the network delay. Simulation results show that algorithms based on mutual selection between UTs and BSs have better performance than those based on distance. And algorithms for mixed modes have less delay than those for active mode when the number of BSs is large enough, compared to the number of UTs.
基金
supported by the National Natural Science Foundation of China (NSFC) under Grants 61427801 and 61671251
the Natural Science Foundation Program through Jiangsu Province of China under Grant BK20150852
the open research fund of National Mobile Communications Research Laboratory, Southeast University under Grant 2017D05
China Postdoctoral Science Foundation under Grant 2016M590481
Jiangsu Planned Projects for Postdoctoral Research Funds under Grant 1501018A
supported by NSFC under Grants 61531011 and 61625106
作者简介
Wenchao Xia, received his B.S. degree in communication en- gineering from Nanjing Univer- sity of Posts and Telecommu- nications （NUPT） in 2014. He is currently a Ph.D. candidate in NUPT and working on heterogeneous networks, massive MIMO communications, and large dimensional random matrix theory.;Jun Zhang, received the M.S. degree in Statistics with De- partment of Mathematics from Southeast University, Nanjing, China, in 2009, and the Ph.D. degree in Communications In- formation System with the Na- tional Mobile Communications Research Laboratory, Southeast University, Nanjing, China, in 2013. From 2013 to 2015, he was a Post- doctoral Research Fellow with Singapore University of Technology and Design, Singapore. Since 2015, he is with the faculty of the Jiangsu Key Laboratory of Wireless Communications, College of Telecom- munications and Information Engineering, Nanjing University of Posts and Telecommunications, where he is currently an Associate Professor. His research interests include multi-cell cooperative MIMO sys- tems, massive MIMO communications, physical layer security, and large dimensional random matrix theo- ry. He serves as an Associate Editor for the {／scshape IEEE Communications Letters}.;Shi Jin, received the B.S. de- gree in communications engi- neering from Guilin University of Electronic Technology, Guilin, China, in 1996, the M.S. degree from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2003, and the Ph.D. degree in communications and informa- tion systems from the Southeast University, Nanjing, in 2007. From June 2007 to October 2009, he was a Research Fellow with the Adastral Park Research Campus, University College London, London, U.K. He is currently with the faculty of the National Mobile Communications Research Laboratory, Southeast University. His research interests include space time wireless communications, random matrix theory, and information theory. He serves as an Associate Editor for the ／textsc{IEEE Transactions on Wireless Communications}, and ／textsc{IEEE Communications Letters}, and ／textsc{IET Communications}. Dr. Jin and his co-authors have been awarded the 2011 IEEE Communications Society Stephen O. Rice Prize Paper Award in the field of communication theory and a 2010 Young Author Best Paper Award by the IEEE Signal Processing Society.;Hongbo Zhu, received the B.S. degree in communications engineering from the Nan- jing University of Posts and Telecommunications, Nanjing, China and Ph.D. degree in information and communications engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 1982 and 1996, respectively. He is presently working as a Professor in Nanjing University of Posts and Telecommunications, Nanjing, China. He is also the head of the Coordination Innovative Center of loT Technology and Application （Jiangsu）, which is the first governmental authorized Coordination In- novative Center of loT in China. He also serves as a referee or expert in multiple national organizations and committees. He has authored and co-authored over 200 technical papers published in various journals and conferences. Presently, he is leading a big group and multiple funds on loT and wireless communications with current focus on architecture and enabling technologies for Internet of Things. His research interests include mobile communications, wireless communication theory, and electromagnetic compatibility.
