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Telecommunication Systems
Erschienen in: Telecommunication Systems 2/2018

26.10.2017

Fairness constrained diffusion adaptive power control for dense small cell network

verfasst von: Zhirong Luan, Hua Qu, Jihong Zhao, Badong Chen, Jose C. Principe

Erschienen in: Telecommunication Systems | Ausgabe 2/2018

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Abstract

Small cell is an emerging and promising technology for improving hotspots coverage and capacity, which tends to be densely deployed in populated areas. However, in a dense small cell network, the performances of users differ vastly due to the random deployments and the interferences. To guarantee fair performance among users in different cells, we propose a new distributed strategy for fairness constrained power control, referred to as the diffusion adaptive power control (DAPC). DAPC achieves overall network fairness in a distributed manner, in which each base station optimizes a local fairness with little information exchanged with neighboring cells. We study several adaptive algorithms to implement the proposed DAPC strategy. To improve the efficiency of the standard least mean square algorithm (LMS), we derive an adaptive step-size logarithm LMS algorithm, and discuss its convergence properties. Simulation results confirm the efficiency of the proposed methods.
Vorheriger Artikel Optimized design and availability analysis of large-scale shared backup path protected networks

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Metadaten
Titel
Fairness constrained diffusion adaptive power control for dense small cell network
verfasst von
Zhirong Luan
Hua Qu
Jihong Zhao
Badong Chen
Jose C. Principe
Publikationsdatum
26.10.2017
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 2/2018
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-017-0387-z

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