Sparse Array Synthesis Including Mutual Coupling for MU-MIMO Average Capacity Maximization
Journal article, 2022

A hybrid optimization algorithm including mutual coupling (MC) is proposed to synthesize an irregular sparse array (ISA) for average capacity maximization in a multi-user multiple-input multiple-output (MU-MIMO) system. The hybrid approach is composed of two phases to sub-optimally determine the location of a fixed number of omni-directional thin dipole antennas in an arbitrary sparse aperture via a diagonal antenna selection matrix. In Phase I, the problem is relaxed to a convex optimization by ignoring the MC and weakening the constraints. The output of Phase I is accounted as a reliable initial guess for the genetic algorithm (GA) in Phase II, which incorporates the MC effects through the coupling matrix and avoids the convex relaxation technique. The proposed approach outperforms the conventional GA with a random initial population, while it avoids trying several starting positions. Meanwhile, the undesirable appearance of grating lobes, due to the under-sampling, and the degrading MC effects are suppressed by aperiodicity. It is observed that, doubling the conventional inter-element spacing (half-wavelength) and finding the location of eight dipoles in a sparse aperture by the proposed method improves the average capacity by 3.27-11.9% when the number of users varies from two to eight and the signal-to-noise ratio (SNR) is 30dB.

Impedance

array synthesis

multi-user MIMO

Dipole antennas

5G

MIMO capacity

Optimization

sparse array

Gratings

Couplings

Correlation

Antenna arrays

mutual coupling

Author

Navid Amani

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

A. Farsaei

Eindhoven University of Technology

Sina Rezaei Aghdam

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Thomas Eriksson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Marianna Ivashina

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Rob Maaskant

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Transactions on Antennas and Propagation

0018926x (ISSN) 15582221 (eISSN)

Vol. 70 8 6617-6626

Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)

European Commission (EC) (EC/H2020/721732), 2016-09-01 -- 2020-08-31.

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TAP.2022.3177450

More information

Latest update

7/27/2024