An energy-efficient resource allocation method is provided for the downlink massive Multiple-Input Multiple-Output (MIMO) Frequency Division Duplexing (FDD) system, which jointly evaluates the channel estimation stage and data transmission stage. The optimization problem is established based on the Energy Efficiency (EE) maximization by adjusting the pilot duration, pilot power and data power under the constraint of total transmit energy and spectral efficiency requirement. Since the analytical expression of the involved objective function is intractable, a closed-form expression is deduced using deterministic equivalent approximation technology. Based on this, the original non-convex fractional optimization problem is transformed into an equivalent problem in subtractive form by the means of fraction programming. Then, a lower bound of the transformed objective function is employed, which induces a relatively easy-to-solve equivalent problem. Finally, a three-layer iterative algorithm is developed. Numerical results validate the effectiveness and relatively fast convergence speed of the proposed algorithm.
王毅,林艳,李春国,黄永明,杨绿溪. 基于能效优化的大规模MIMO FDD下行系统导频和功率资源分配算法[J]. 电子与信息学报, 2017, 39(1): 16-23.
WANG Yi, LIN Yan, LI Chunguo, HUANG Yongming, YANG Luxi. Energy-efficiency Optimization of Pilot Duration and Power Allocation for Downlink Massive MIMO FDD Systems. JEIT, 2017, 39(1): 16-23.
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