• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Design and Field Test of an Optimal Power Control Algorithm for Base Stations in Long Term Evolution Networks

Vol. 10, No.12, December 31, 2016
10.3837/tiis.2016.12.011, Download Paper (Free):

Abstract

An optimal power control algorithm based on convex optimization is proposed for base stations in long term evolution networks. An objective function was formulated to maximize the proportional fairness of the networks. The optimal value of the objective function was obtained using convex optimization and distributed methods based on the path loss model between the base station and users. Field tests on live networks were conducted to evaluate the performance of the proposed algorithm. The experimental results verified that, in a multi-cell multi-user scenario, the proposed algorithm increases system throughputs, proportional fairness, and energy efficiency by 9, 1.31 and 20.2 %, respectively, compared to the conventional fixed power allocation method.


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Cite this article

[IEEE Style]
Yuan Zeng and Jing Xu, "Design and Field Test of an Optimal Power Control Algorithm for Base Stations in Long Term Evolution Networks," KSII Transactions on Internet and Information Systems, vol. 10, no. 12, pp. 5891-5909, 2016. DOI: 10.3837/tiis.2016.12.011

[ACM Style]
Zeng, Y. and Xu, J. 2016. Design and Field Test of an Optimal Power Control Algorithm for Base Stations in Long Term Evolution Networks. KSII Transactions on Internet and Information Systems, 10, 12, (2016), 5891-5909. DOI: 10.3837/tiis.2016.12.011