Degrees of Freedom in 3D Linear Large-Scale Antenna Array Communications—A Spatial Bandwidth Approach
Journal article, 2022

For wireless communications using linear large-scale antenna arrays, we define a receiving coordinate system and parameterization strategy to facilitate the study of the impact of three-dimensional position and rotation of the arrays on the achievable spatial degrees of freedom (DoF) in line-of-sight (LOS) channels. An analytical framework based on spatial bandwidth analysis is developed, under which three elementary problems corresponding to three basic orthogonal receiving directions are investigated. For each of them, accurate, simple, and interpretable closed-form approximations for the achievable spatial DoF are derived, and the spatial region where a sufficient amount of spatial DoF is expected available is determined. The expressions can easily be integrated into large-scale system-level simulations. Some interesting and surprising observations are made from simulation studies based on the analytical results. For instance, the spatial bandwidth is shown to be approximately constant in almost the entire spatial multiplexing region. Moreover, in significant parts of this region, the optimal receive array orientation is not parallel with the transmitting array.

MIMO communication

Green's function methods

Degrees of freedom

Three-dimensional displays

Spatial frequency

Antenna theory

Space division multiplexing

Bandwidth

Large-scale antenna array

Spatial bandwidth

Wireless communication

Electric fields

Author

Liqin Ding

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Erik Ström

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Jiliang Zhang

University of Sheffield

IEEE Journal on Selected Areas in Communications

0733-8716 (ISSN) 15580008 (eISSN)

Vol. 40 10 2805-2822

Value-of-Information Driven Communication for Connected and Automated Transportation (VoiiComm)

European Commission (EC) (EC/H2020/887732), 2020-10-26 -- 2022-10-25.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Computational Mathematics

Signal Processing

DOI

10.1109/JSAC.2022.3196106

More information

Latest update

2/10/2023