SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems

Joint Authors

Kadoch, Michel
Sun, Songlin
Chen, Na
Rong, Bo

Source

Mobile Information Systems

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