Downlink power optimization for heterogeneous networks with time reversal-based transmission under backhaul limitation

Tran, Ha-Vu, Kaddoum, Georges, Tran, Hung et Hong, Een Kee. 2017. « Downlink power optimization for heterogeneous networks with time reversal-based transmission under backhaul limitation ». IEEE Access, vol. 5. pp. 755-770.
Compte des citations dans Scopus : 11.

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Résumé

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.

Type de document:	Article publié dans une revue, révisé par les pairs
Mots-clés libres:	Fonds d'auteur ÉTS, FAETS
Professeur:	Professeur Kaddoum, Georges
Affiliation:	Génie électrique
Date de dépôt:	20 avr. 2017 17:42
Dernière modification:	22 janv. 2020 19:58
URI:	https://espace2.etsmtl.ca/id/eprint/15108

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