DocumentCode
3610066
Title
Spatial Domain Management and Massive MIMO Coordination in 5G SDN
Author
Songlin Sun ; Bo Rong ; Hu, Rose Qingyang ; Yi Qian
Author_Institution
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
3
fYear
2015
fDate
7/7/1905 12:00:00 AM
Firstpage
2238
Lastpage
2251
Abstract
In 5G mobile communication systems, massive multiple-input multiple-output (MIMO) and heterogeneous networks (HetNets) play crucial roles to achieve expected coverage and capacity across venues. This paper correspondingly addresses software-defined network (SDN) as the central controller of radio resource management in massive MIMO HetNets. In particular, we identify the huge spatial domain information management and complicated MIMO coordination as the grand challenges in 5G systems. Our work accordingly distinguishes itself by considering more network MIMO aspects, including flexibility and complexity of spatial coordination. In our proposed scheme, SDN controller first collects the user channel-state information in an effective way, and then calculates the null-space of victim users and applies linear precoding to that null-space. Simulation results show that our design is highly beneficial and easy to be deployed, due to its high quality of service performance but low computation complexity.
Keywords
5G mobile communication; MIMO communication; linear predictive coding; quality of service; software defined networking; telecommunication network management; 5G SDN; 5G mobile communication systems; HetNets; channel state information; heterogeneous networks; information management; linear precoding; massive MIMO coordination; multiple-input multiple-output; quality of service; radio resource management; software-defined network; spatial domain management; 5G mobile communication; Channel estimation; Encoding; Heterogeneous networks; IEEE Standards; MIMO; Precoding; 5G SDN; HetNets; channel estimation; massive MIMO; precoding;
fLanguage
English
Journal_Title
Access, IEEE
Publisher
ieee
ISSN
2169-3536
Type
jour
DOI
10.1109/ACCESS.2015.2498609
Filename
7323784
Link To Document