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author:

Gao, RenGui (Gao, RenGui.) [1] | Zhang, Dong (Zhang, Dong.) [2] (Scholars:张栋)

Indexed by:

EI Scopus

Abstract:

The intensive network technology that is one of the key technologies of 5G is the main means to solve the explosive growth of data traffic demands in the future. However, with the implementation of network-inte-nsive deployments, serious interference problems are generated. The software-defined network (SDN) allows the separation of the control plane from forward plane, which provides the flexibility of dynamic network programming. Combining SDN with 5G is an effective method to copy with the interference management. This paper proposes an SDN-based mobile wireless network architecture to solve the problem of interference coordination in mobile wireless networks. Through the advantages of the SDN controller, the underlying wireless network topology information is centralized to the control layer that is running the optimization algorithm of resource allocation, which solves the problem of interference coordination. We introduces an Integer Programming to sovle the problem of formulation. A Tabu heuristic algorithm is used to solve the problem of interference coordination. The experimental results show that compared with the algorithm of non interference coordination, the proposed algorithm evidently reduces the interference value of the whole network. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.

Keyword:

5G mobile communication systems Computer programming Dynamic programming Heuristic algorithms Integer programming Network architecture Radio interference Software defined networking Wireless networks

Community:

  • [ 1 ] [Gao, RenGui]College of Mathematics and Computer Science Fuzhou University, Fuzhou University, Fuzhou; Fujian, China
  • [ 2 ] [Zhang, Dong]College of Mathematics and Computer Science Fuzhou University, Fuzhou University, Fuzhou; Fujian, China

Reprint 's Address:

  • 张栋

    [zhang, dong]college of mathematics and computer science fuzhou university, fuzhou university, fuzhou; fujian, china

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Source :

ISSN: 1867-8211

Year: 2019

Volume: 262

Page: 635-644

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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