Energy Efficient Power Allocation in Massive MIMO Systems Based on Standard Interference Function

In this paper, energy efficient power allocation for downlink massive MIMO systems is investigated. A constrained non-convex optimization problem is formulated to maximize the energy efficiency (EE), which takes into account the quality of service (QoS) requirements. By exploiting the properties of...

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Bibliographic Details
Published in2016 IEEE 83rd Vehicular Technology Conference (VTC Spring) pp. 1 - 6
Main Authors Jiadian Zhang, Yanxiang Jiang, Peng Li, Fuchun Zheng, Xiaohu You
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2016
Subjects
Antennas
Downlink
Interference
MIMO
Optimization
Resource management
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Summary:In this paper, energy efficient power allocation for downlink massive MIMO systems is investigated. A constrained non-convex optimization problem is formulated to maximize the energy efficiency (EE), which takes into account the quality of service (QoS) requirements. By exploiting the properties of fractional programming and the lower bound of the user data rate, the non-convex optimization problem is transformed into a convex optimization problem. The Lagrangian dual function method is utilized to convert the constrained convex problem into an unconstrained convex one. Due to the multi-variable coupling problem caused by the intra-user interference, it is intractable to derive an explicit solution to the above optimization problem. Exploiting the standard interference function, we propose an implicit iterative algorithm to solve the unconstrained convex optimization problem and obtain the optimal power allocation scheme. Simulation results show that the proposed iterative algorithm converges in just a few iterations, and demonstrate the impact of the number of users and the number of antennas on the EE.
DOI:10.1109/VTCSpring.2016.7504223