Abstract
Millimeter wave (mm-wave) communication is widely considered to be a promising technique for 5G (Fifth Generation) cellular systems. Owing to the high path loss of mm-wave channels, 5G networks could employ a heterogeneous structure that consists of an MBS (Macro Base Station) and numerous SBSs (Small Base Stations). In this paper, we analyze the coverage and rate performance of an mm-wave heterogeneous network. Using user beam selection, we derive analytical expressions for the coverage probabilities of the SBSs and MBS. Furthermore, the average achievable rate for a typical user is also investigated. It is shown that the analytical results closely follow those of the simulations with marginal differences.
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This work is supported by the National Natural Science Foundation of China (Nos. 61231011, 61231013, and 61571025).
Tian Li received his B.E. degree from Hebei University, Baoding, China, in 2010, and his M.E. degree in Control Science and Engineering from Beijing Institute of Technology, Beijing, China, in 2013. He is now a Ph.D. candidate in information and communication engineering in School of Electronic and Information Engineering, Beihang University, Beijing, China. His current research interests cover areas of wireless communications, including multiple-input-multiple-output (MIMO) detections and millimeter-wave systems. (Email: tian.li@buaa.edu.cn)
Lin Bai [corresponding author] received his B.Sc. degree in electronics and information engineering from Huazhong University of Science and Technology, Wuhan, China, in 2004, the M.Sc. (with distinction) degree in communication systems from the University of Wales, Swansea, U.K., in 2007, and the Ph.D. degree in advanced telecommunications from the School of Engineering, Swansea University, U.K., in 2010. He has been working with the School of Electronics and Information Engineering, Beihang University (Beijing University of Aeronautics and Astronautics, BUAA), Beijing, China, as an associate professor since 2011. Dr. Bai is the author of the books Low Complexity MIMO Detection and Low Complexity MIMO Receivers published by Springer in 2012 and 2014, respectively. His research interests include signal processing of wireless communications, particularly multiple-input multiple-output systems, array/smart antenna, and lattice-based approaches. Dr. Bai received an IEEE communications letters exemplary reviewers certificate for 2012, the Best Paper Award from ICNS 2013 (Conference), and is a senior member of IEEE. Currently, he serves as an associate editor of IEEE access, an editor of KSII transactions on Internet and information systems, and the managing editor of Journal of communications and information networks. He also severed as a guest editor of International journal of distributed sensor networks from 2012 to 2014. (Email: l.bai@buaa.edu.cn)
Jinho Choi was born in Seoul, Korea. He received his B.E. (magna cum laude) degree in electronics engineering in 1989 from Sogang University, Seoul, and M.S.E. and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, in 1991 and 1994, respectively. He is working with Gwangju Institute of Science and Technology (GIST) as a professor. Prior to joining GIST in 2013, he was with the College of Engineering, Swansea University, United Kingdom, as a professor/chair in wireless. His research interests include wireless communications and array/statistical signal processing. He authored two books published by Cambridge University Press in 2006 and 2010. Prof. Choi received the 1999 Best Paper Award for Signal Processing from EURASIP, 2009 Best Paper Award from WPMC (Conference), and is a senior member of IEEE. Currently, he is an editor of IEEE transactions on communications and had served as an associate editor or editor of other journals including IEEE communications letters, Journal of communications and networks, IEEE transactions on vehicular technology, and ETRI journal. (Email: jchoi0114@gist.ac.kr)
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Li, T., Bai, L. & Choi, J. Coverage and rate analysis of user beam selection in mm-wave heterogeneous networks. J. Commun. Inf. Netw. 2, 120–130 (2017). https://doi.org/10.1007/s41650-017-0036-4
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DOI: https://doi.org/10.1007/s41650-017-0036-4