Context-aware radio resource management below 6 GHz for enabling dynamic channel assignment in the 5G era

Heterogeneous networks constitute a promising solution to the emerging challenges of 5G networks. According to the specific network architecture, a macro-cell base station (MBS) shares the same spectral resources with a number of small cell base stations (SBSs), resulting in increased co-channel int...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking 2017-09, Vol.2017 (1), p.1-11, Article 162
Main Authors: Belikaidis, Ioannis-Prodromos, Vassaki, Stavroula, Georgakopoulos, Andreas, Margaris, Aristotelis, Miatton, Federico, Herzog, Uwe, Tsagkaris, Kostas, Demestichas, Panagiotis
Format: Article
Language:English
Subjects:
Algorithms
Business models
Channel segregation
Cochannel interference
Communications Engineering
Dynamic channel assignment
Emerging Air Interfaces and Management Technologies for the 5G Era
Engineering
Heterogeneous networks
Information Systems Applications (incl.Internet)
Networks
Quality of service
Radio equipment
Resource management
Signal,Image and Speech Processing
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Summary:Heterogeneous networks constitute a promising solution to the emerging challenges of 5G networks. According to the specific network architecture, a macro-cell base station (MBS) shares the same spectral resources with a number of small cell base stations (SBSs), resulting in increased co-channel interference (CCI). The efficient management of CCI has been studied extensively in the literature and various dynamic channel assignment (DCA) schemes have been proposed. However, the majority of these schemes consider a uniform approach for the users without taking into account the different quality requirements of each application. In this work, we propose an algorithm for enabling dynamic channel assignment in the 5G era that receives information about the interference and QoS levels and dynamically assigns the best channel. This algorithm is compared to state-of-the-art channel assignment algorithm. Results show an increase of performance, e.g., in terms of throughput and air interface latency. Finally, potential challenges and way forward are also discussed.
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-017-0946-8