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Heterogeneous network is a promising solution to improve the energy efficiency of the cellular system. In this work, an energy efficient power management scheme designed for LTE femtocells is presented. Using user and service classification, the proposed algorithm balances the network coverage, average data rate and energy consumption. Simulation results confirms the superiority of proposed algorithm...
In this work, dynamic downlink power control schemes based on user type identification are proposed for LTE (Long Term Evolution) femtocells. In the proposed schemes, the users are distinguished by their serving cells and service types, and the power control is performed accordingly. Moreover, with a variable setting of data rate offset, the proposed schemes can achieve superior performance in terms...
In this work, a downlink power control scheme based on channel quality indicator (CQI) is proposed for LTE femtocells. Unlike the conventional methods, this scheme takes the service types of users into account. Without making strong assumptions, such as full knowledge of the network or perfect coordination among basestations, a completely decentralized solution is provided. Simulation results confirm,...
In this paper, a simulation framework for the physical layer of LTE cellular networks is presented. In this frame work, a semi-stochastic channel model (SSCM) based on ray launching is adopted to provide accurate prediction of the channel. The movements of mobile stations are represented by a mobility model, which take the real world restrictions into consideration. The geographical information needed...
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