DocumentCode
2079922
Title
Backhaul-aware self-organizing operator-shared small cell networks
Author
Blasco, Pol ; Bennis, Mehdi ; Dohler, Mischa
Author_Institution
CTTC, Castelldefels, Spain
fYear
2013
fDate
9-13 June 2013
Firstpage
2801
Lastpage
2806
Abstract
Despite its notable importance, backhauling has - thus far - been a largely overlooked issue. However, driven by the uptake of small cell networks, current dedicated backhaul solutions are no longer viable for mobile operators, calling for novel deployment and backhaul-aware access strategies. In this paper, following the market´s latest developments in infrastructure sharing, we investigate the uplink performance improvement when using a spatially-close open access small cell over one operator´s carrier and simultaneously a direct access over another carrier. An important constituent of our work is the optimization problem of joint access and in-band (over-the-air) backhaul for the small cell link. Given the large degree of parametric freedom, another important constituent is the use of cognitive self-organizing networking mechanisms in the form of reinforcement learning, to autonomously optimize the resources allocated to and within each carrier. Simulation results corroborate our findings, with reported performance improvements of 40% under completely autonomous operating conditions when compared to benchmark backhaul approaches.
Keywords
cellular radio; cognitive radio; learning (artificial intelligence); resource allocation; telecommunication computing; backhaul-aware access strategy; backhaul-aware self-organizing operator-shared small cell networks; benchmark backhaul approach; cognitive self-organizing networking mechanisms; in-band backhaul; mobile operators; optimization problem; reinforcement learning; resource allocation; spatially-close open access small cell network; uplink performance improvement; Base stations; Benchmark testing; Convergence; Games; Joints; Macrocell networks; Relays;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2013 IEEE International Conference on
Conference_Location
Budapest
ISSN
1550-3607
Type
conf
DOI
10.1109/ICC.2013.6654964
Filename
6654964
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