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Joint fronthaul link selection and transmit precoding for energy efficiency maximization of multiuser MIMO-aided distributed antenna systems

Joint fronthaul link selection and transmit precoding for energy efficiency maximization of multiuser MIMO-aided distributed antenna systems
Joint fronthaul link selection and transmit precoding for energy efficiency maximization of multiuser MIMO-aided distributed antenna systems
We jointly select the fronthaul links and optimize the transmit precoding matrices for maximizing the energy efficiency of a multiuser multiple-input multiple-output aided distributed antenna system . The fronthaul link’s power consumption is taken into consideration, which is assumed to be proportional to the number of active fronthaul links quantified by using indicator functions. Both the rate requirements and the power constraints of the remote access units are considered. Under realistic power constraints some of the users cannot be admitted. Hence, we formulate a two-stage optimization problem. In Stage I, a novel user selection method is proposed for determining the maximum number of admitted users. In Stage II, we deal with the energy efficiency optimization problem. First, the indicator function is approximated by a smooth concave logarithmic function. Then, a triple-layer iterative algorithm is proposed for solving the approximated energy efficiency optimization problem, which is proved to converge to the Karush-Kuhn-Tucker conditions of the smoothened energy efficiency optimization problem. To further reduce the complexity, a single-layer iterative algorithm is conceived, which guarantees convergence. Our simulation results show that the proposed user selection algorithm approaches the performance of the exhaustive search method. Finally, the proposed algorithms is capable of achieving an order of magni- tude higher energy efficiency than its conventional counterpart operating without considering link selection.
Distributed antenna system, fronthaul link se- lection, user selection, MIMO, energy efficiency
0090-6778
Ren, Hong
0cd70e56-a7d7-478e-bcd8-54c13866bb48
Liu, Nan
72d3ab9e-1827-4fc4-957c-b54a9fb03a41
Pan, Cunhua
f7d52330-7fd8-42eb-8a5a-e094829a9fea
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ren, Hong
0cd70e56-a7d7-478e-bcd8-54c13866bb48
Liu, Nan
72d3ab9e-1827-4fc4-957c-b54a9fb03a41
Pan, Cunhua
f7d52330-7fd8-42eb-8a5a-e094829a9fea
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Ren, Hong, Liu, Nan, Pan, Cunhua and Hanzo, Lajos (2017) Joint fronthaul link selection and transmit precoding for energy efficiency maximization of multiuser MIMO-aided distributed antenna systems. IEEE Transactions on Communications. (doi:10.1109/TCOMM.2017.2728526).

Record type: Article

Abstract

We jointly select the fronthaul links and optimize the transmit precoding matrices for maximizing the energy efficiency of a multiuser multiple-input multiple-output aided distributed antenna system . The fronthaul link’s power consumption is taken into consideration, which is assumed to be proportional to the number of active fronthaul links quantified by using indicator functions. Both the rate requirements and the power constraints of the remote access units are considered. Under realistic power constraints some of the users cannot be admitted. Hence, we formulate a two-stage optimization problem. In Stage I, a novel user selection method is proposed for determining the maximum number of admitted users. In Stage II, we deal with the energy efficiency optimization problem. First, the indicator function is approximated by a smooth concave logarithmic function. Then, a triple-layer iterative algorithm is proposed for solving the approximated energy efficiency optimization problem, which is proved to converge to the Karush-Kuhn-Tucker conditions of the smoothened energy efficiency optimization problem. To further reduce the complexity, a single-layer iterative algorithm is conceived, which guarantees convergence. Our simulation results show that the proposed user selection algorithm approaches the performance of the exhaustive search method. Finally, the proposed algorithms is capable of achieving an order of magni- tude higher energy efficiency than its conventional counterpart operating without considering link selection.

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Accepted/In Press date: 10 July 2017
e-pub ahead of print date: 18 July 2017
Keywords: Distributed antenna system, fronthaul link se- lection, user selection, MIMO, energy efficiency

Identifiers

Local EPrints ID: 412244
URI: http://eprints.soton.ac.uk/id/eprint/412244
ISSN: 0090-6778
PURE UUID: 5d94e4f7-4f95-4fa1-8c9c-216a0e513761
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 14 Jul 2017 16:30
Last modified: 07 Oct 2020 04:24

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