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Mobile Information Systems
Volume 2016, Article ID 7172515, 10 pages
http://dx.doi.org/10.1155/2016/7172515
Research Article

Power Allocation Scheme for Femto-to-Macro Downlink Interference Reduction for Smart Devices in Ambient Intelligence

1College of IoT Engineering, Changzhou Key Laboratory of Robotics and Intelligent Technology, Hohai University, Changzhou, China
2Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada
3Division of Undeclared Majors, Chosun University, Gwangju, Republic of Korea
4Department of Computer Engineering, Chosun University, Gwangju, Republic of Korea

Received 1 October 2016; Accepted 28 November 2016

Academic Editor: Francesco Palmieri

Copyright © 2016 Xin Su et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper, we present an analysis on the characteristics of cross-tier interference in regard to femtocells deployed in LTE cellular networks. We also present a cross-tier SLNR-based water filling (CSWF) power allocation algorithm for the reduction of interference from femtocell to macrocell for smart devices used in ambient intelligence. The results of this study show that CSWF significantly improves the macro UE performance around a femtocell access point (AP) from the SINR and throughput perspective. The CSWF algorithm also provides a relative gain on the throughput of femtocell UEs compared to frequency partitioning. Furthermore, the proposed algorithm has a low complexity and is implemented on the femto-AP side only, therefore not affecting the macro system.