Channel allocation and power control schemes for cross-tier 3GPP LTE networks to support multimedia applications |
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| Authors: | Xin Su Yang Wang Dongmin Choi Pankoo Kim Chang Choi |
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| Affiliation: | 1.College of IOT Engineering, Changzhou Key Laboratory of Robotics and Intelligent Technology,Hohai University,Changzhou,China;2.Guangdong Planning and Designing Institute of Telecommunications CO., LTD,Guangzhou,China;3.Division of Undeclared Majors,Chosun University,Gwangju,Republic of Korea;4.Department of Computer Engineering,Chosun University,Gwangju,Republic of Korea;5.Department of Computer Engineering,Chosun University,Gwangju,Republic of Korea |
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| Abstract: | In this paper, we present the framework of a channel allocation (CA) and power control (PC) schemes for the minimization of interference in cross-tier 3GPP LTE networks that aim to support internet of multimedia things. Channel allocation scheme based on an interference graph preserving the minimum number of interfered MUEs by femtocells (IG-MIM) is proposed to mitigate interference amongst femtocells, and a game theory based power control algorithm is also proposed to reduce interference to surrounding macrocell users (MUEs). The proposed IG-MIM scheme constructs the interference graph based on a predefined threshold and allocates the subchannels to the femtocells that maintain the smallest number of interfered MUEs. For the power control, we design a payoff function based on the rewards from the achieved data rates and the penalties from the interference in regards to its adjacent femtocells. The simulation results show that the IG-MIM channel allocation significantly improves the SINR performance for the femtocell users (FUEs) being served; the game theory based power control decreases the power requirements of a femtocell and alleviates the interference to the MUEs. |
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