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Multi-objective Power Control Algorithm for Femtocell Networks

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Abstract

Future wireless networks are designed to cope with drastically increasing user demands. However, network resources reach the limits of their capacity to user requirements. Recently, femtocell has appeared as an effective solution to achieve larger coverage for indoor users while improving the cellular network capacity. In femtocell networks, the most important issue is to design an efficient and fair power control protocol, which can significantly influences the network performance. In this paper, a new multi-objective power control algorithm is developed based on the no-regret learning technique and intervention game model. The proposed control paradigm can provide the ability to practically respond to current system conditions and suitable for real network operations. Under a dynamically changing network environment, the proposed approach appropriately controls the power level to balance network performance between efficiency and fairness.

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Authors and Affiliations

  1. Department of Computer Science, Sogang University, 35 Baekbeom-ro (Sinsu-dong), Mapo-gu, Seoul, 121-742, South Korea

    Sungwook Kim

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  1. Sungwook Kim
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Correspondence to Sungwook Kim.

Additional information

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(NRF-2011-0015912) and by the Sogang University Research Grant of 201110011.

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Kim, S. Multi-objective Power Control Algorithm for Femtocell Networks. Wireless Pers Commun 75, 2281–2288 (2014). https://doi.org/10.1007/s11277-013-1467-3

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  • DOI: https://doi.org/10.1007/s11277-013-1467-3

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