Author/Authors :
Su, Xin College of IoT Engineering - Changzhou Key Laboratory of Robotics and Intelligent Technology - Hohai University, Changzhou, China , Liang, Chengchao Department of Systems and Computer Engineering - Carleton University, Ottawa, ON, Canada , Choi, Dongmin Division of Undeclared Majors - Chosun University, Gwangju, Republic of Korea , Choi, Chang Department of Computer Engineering - Chosun University, Gwangju, Republic of Korea
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.
