Abstract
In cognitive heterogeneous networks, when multiple adjacent femtocells are deployed, uncontrolled transmission power can lead to severe mutual interference. In order to reduce interference while satisfying capacity requirements, we propose a power management scheme for an adjacent femtocell network. Firstly, we build an interference model for adjacent femtocells, in which distance-dependent interference to terminals within the whole femtocell coverage area is considered. Then, we calculate the total capacity of adjacent femtocells based on the mutual interference and formulate a non-convex optimization problem to maximize the capacity under the transmission power constraints. To solve the non-convex problem, we divide it into two convex subproblems and solve them with the Lagrange dual theory and linear programming method. Finally, we derive the closed-form expression of the optimal power configuration to maximize capacity while minimizing energy consumption simultaneously. The simulation results indicate that the proposed power scheme demonstrates obvious improvement in terms of capacity and power economization, compared with the maximal power configuration method.
Highlights
With the development of radio access technologies and mobile internet applications, the demand for mobile data services increases explosively [1]
Traditional cellular networks are confronted with the challenge of enhancing the coverage and improving the capacity of indoor and hotspot areas. In allusion to this challenge, femtocell networks which offer better quality of experience (QoE) for indoor and hotspot users [3] are being considered as a promising technique to enhance the performance of cellular networks
By jointly considering the distance-dependent interference, user distribution, and user performance in terms of signal to noise ratio (SNR), we manage to derive an expression for sum capacity of femtocells
Summary
With the development of radio access technologies and mobile internet applications, the demand for mobile data services increases explosively [1]. Traditional cellular networks are confronted with the challenge of enhancing the coverage and improving the capacity of indoor and hotspot areas. In allusion to this challenge, femtocell networks which offer better quality of experience (QoE) for indoor and hotspot users [3] are being considered as a promising technique to enhance the performance of cellular networks. When multitudes of femtocells coexist, severe interference may arise between adjacent femtocells if the transmission power is uncontrolled. A lot of research efforts are focused on the power control and interference elimination issues in heterogeneous femtocell networks
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