SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems
Joint Authors
Kadoch, Michel
Sun, Songlin
Chen, Na
Rong, Bo
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Abstract EN
In 5G mobile network, millimeter wave (mmWave) and heterogeneous networks (Hetnets) are significant techniques to sustain coverage and spectral efficiency.
In this paper, we utilize the hybrid precoding to overcome hardware constraints on the analog-only beamforming in mmWave systems.
Particularly, we identify the complicated antenna coordination and vast spatial domain information as the outstanding challenges in mmWave Hetnets.
In our work, we employ software defined network (SDN) to accomplish radio resource management (RRM) and achieve flexible spacial coordination in mmWave Hetnets.
In our proposed scheme, SDN controller is responsible for collecting the user channel state information (CSI) and applying hybrid precoding based on the calculated null-space of victim users.
Simulation results show that our design can effectively reduce the interference to victim users and support high quality of service.
American Psychological Association (APA)
Chen, Na& Sun, Songlin& Kadoch, Michel& Rong, Bo. 2016. SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111679
Modern Language Association (MLA)
Chen, Na…[et al.]. SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems. Mobile Information Systems No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111679
American Medical Association (AMA)
Chen, Na& Sun, Songlin& Kadoch, Michel& Rong, Bo. SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111679
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111679