Downlink Power Optimization for Heterogeneous Networks With Time Reversal-Based Transmission Under Backhaul Limitation

IEEE Access

Hung Tran¹  Ha-Vu Tran¹  Georges Kaddoum²  Een-Kee Hong² 

[1] LACIME Laboratory, ÉTS Engineering School, University of Qu&x00E9;bec, Montreal, QC, Canada;

关键词: Time reversal;    heterogeneous networks;    power allocation;    beamforming;    channel estimation error;    frequency selective channel;   

DOI  :  10.1109/ACCESS.2017.2649098

来源: DOAJ

【 摘 要 】

In this paper, we investigate an application of two different beamforming techniques and propose a novel downlink power minimization scheme for a two-tier heterogeneous network (HetNet) model. In this context, we employ the time reversal (TR) technique to a femtocell base station, whereby we assume that a macrocell base station uses a zero-forcing-based algorithm, and the communication channels are subject to frequency selective fading. Additionally, the HetNet backhaul connection is unable to support a sufficient throughput for signaling an information exchange between two tiers. Given the considered HetNet model, a downlink power minimization scheme is proposed, and closed-form expressions concerning the optimal solution are provided by taking this constraint into account. Furthermore, considering imperfect channel estimation at TR-employed femtocell, a worst-case robust power minimization problem is formulated. By devising TR worst-case analysis, this robust problem is transformed into an equivalent formulation that is tractable to solve. The results presented in our paper, show that the TR technique outperforms the zero-forcing one from the perspective of beamforming methods for femtocell working environments. Finally, we validate the proposed power loading strategy for both cases of perfect and imperfect channel estimations.

【 授权许可】

Unknown