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