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Downlink Power Optimization for Heterogeneous Networks with Time Reversal-based Transmission under Backhaul Limitation
Univ Quebec, ETS Engn Sch, LACIME Lab, Montreal, PQ H3C 1K3, Canada..
Univ Quebec, ETS Engn Sch, LACIME Lab, Montreal, PQ H3C 1K3, Canada..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Kyung Hee Univ, Sch Elect & Informat, Yongin 449701, South Korea..
2017 (English)In: IEEE Access, E-ISSN 2169-3536, ISSN 21693536, Vol. 5, p. 755-770Article in journal (Refereed) Published
Abstract [en]

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 time reversal (TR) technique to a femtocell base station (FBS) whereas we assume that a macrocell base station (MBS) uses a zero-forcing-based algorithm and the communication channels are subject to frequency selective fading. Additionally, HetNet's backhaul connection is unable to support a sufficient throughput for signaling 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, 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 in 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 .

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2017. Vol. 5, p. 755-770
Keywords [en]
Time reversal, heterogeneous networks, power allocation, beamforming, channel estimation error, frequency selective channel.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35126DOI: 10.1109/ACCESS.2017.2649098ISI: 000397136900005Scopus ID: 2-s2.0-85018460406OAI: oai:DiVA.org:mdh-35126DiVA, id: diva2:1087282
Available from: 2017-04-06 Created: 2017-04-06 Last updated: 2024-05-03Bibliographically approved

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Tran, Hung

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