Downlink Power Optimization for Heterogeneous Networks with Time Reversal-based Transmission under Backhaul Limitation
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
2017-04-062017-04-062024-05-03Bibliographically approved