Competition-based distributed BS power activation and user scheduling algorithm

Existing cellular technologies in unlicensed band such as license assisted access (LAA)-LTE do not capture inter-cell interference (ICI) management which becomes more important in modern small cell network environments. Moreover, existing ICI management techniques not only can be operated in only li...

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Bibliographic Details
Published in:Journal of communications and networks 2017, 19(1), , pp.41-50
Main Authors: Lee, Changsik, Kim, Jihwan, Kwak, Jeongho, Kim, Eunkyung, Chong, Song
Format: Article
Language:English
Subjects:
Activation
Algorithms
Cellular communication
Cellular networks
Competition
Computer simulation
Distributed algorithm
edge user
Electric power distribution
inter-cell interference
Interference
Manganese
Mobile communication systems
Multiaccess communication
Scheduling
Signal to noise ratio
small cell
transmit power activation control
user scheduling
Wireless communications
전자/정보통신공학
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Summary:Existing cellular technologies in unlicensed band such as license assisted access (LAA)-LTE do not capture inter-cell interference (ICI) management which becomes more important in modern small cell network environments. Moreover, existing ICI management techniques not only can be operated in only licensed frequency band due to their centralized properties, but also have high computational complexities. In this paper, by invoking distributed optimization, we propose a fully distributed base station (BS) activation and user scheduling framework which can be operated in even unlicensed band because of its competition properties. Our simulation results demonstrate that (i) proposed competition-based BS activation and user scheduling framework (CBA) increases throughput of cell edge users by 112%-335% compared to conventional algorithms, (ii) the CBA properly catches up with the performance of optimal algorithm up to 93% in terms of overall performance and up to 95% in terms of edge user throughput, and (iii) the CBA also provides higher performance gains in the larger ratio of edge users and the smaller cell size, which indicates that the CBA well adapts to cellular network trend where cells are gradually smaller and densely deployed.
ISSN:1229-2370
1976-5541
DOI:10.1109/JCN.2017.000007