DocumentCode :
722595
Title :
A framework for interference control in Software-Defined mobile radio networks
Author :
Gebremariam, Anteneh A. ; Goratti, L. ; Riggio, R. ; Siracusa, D. ; Rasheed, T. ; Granelli, F.
Author_Institution :
ICT Doctoral Sch., Univ. of Trento, Trento, Italy
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
892
Lastpage :
897
Abstract :
To cope up with the booming of data traffic and to accommodate new and emerging technologies such as machine-type communications, the 5th Generation (5G) of mobile networks must be empowered with efficient resource allocation schemes that benefit from the adoption of the Software-Defined networking (SDN) paradigm. In radio communications, allocation of resources is tightly connected with interference. In this paper, we revisit the way wireless interference is managed and avoided relying on the SDN paradigm for controlling the network. The SDN approach is exploited to expose the lower layers of the stack (e.g., Physical and Medium Access Control) to the controller and its applications by making system parameters available, such that it is possible to dynamically configure the network in a logically centralized fashion, by means of specifically designed algorithms. The contribution of this work is threefold. First, we show how to adapt the SDN paradigm to mobile networks. Second, we propose the interference graph as an abstraction that can be used to control interference. Last, we formulate a throughput optimization tool that uses the proposed interference graph as an input.
Keywords :
graph theory; interference suppression; mobile radio; optimisation; radiofrequency interference; software defined networking; software radio; telecommunication traffic; SDN paradigm; data traffic; interference control; interference graph; resource allocation scheme; software defined mobile radio network; software defined networking paradigm; throughput optimization tool; wireless interference; Aggregates; Base stations; Interference; Optimization; Ports (Computers); Receivers; Resource management; 5G; Software-Defined Networking; abstractions; interference graph; mobile network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
Conference_Location :
Las Vegas, NV
ISSN :
2331-9860
Print_ISBN :
978-1-4799-6389-8
Type :
conf
DOI :
10.1109/CCNC.2015.7158094
Filename :
7158094
Link To Document :
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