Innovative array architectures for 5G communications

Abstract

An innovative iterative scheme which combines parametric optimization techniques and convex programming strategies is proposed as a design tool to assess feasibility and limitations of next generation phased array architectures for 5G backhauling applications. The proposed design technique is aimed at (i) identifying the lattice geometry and minimum array aperture (complying with bandwidth, directivity, and steering range requirements) and (ii) computing the optimal excitation coefficients (to satisfy sidelobe constraints) for a 5G backhauling scenario. Preliminary numerical examples are shown to validate the proposed methodological approach and architectures in 5G backhauling scenarios and to deduce relevant applicative guidelines.