ANN‐based design of a versatile millimetre‐wave slotted patch multi‐antenna configuration for 5G scenarios. Issue 9 (19th June 2017)

• Record Type: Journal Article
• Authors: Aliakbari, Hanieh; Abdipour, Abdolali; Costanzo, Alessandra; Masotti, Diego; Mirzavand, Rashid; Mousavi, Pedram
• Is Part Of: IET microwaves, antennas & propagation. Volume 11:Issue 9(2017)
• Page Start: 1288
• Page End: 1295
• Publication Date: 2017-06-19
• Subjects: 5G mobile communication -- slot antenna arrays -- microstrip antenna arrays -- neural nets -- telecommunication computing -- millimetre wave antenna arrays -- CAD -- antenna radiation patterns -- electromagnetic wave polarisation -- diversity reception; ANN‐based design -- millimetre‐wave slotted patch multiantenna configuration -- dual‐band slotted‐patch‐antenna -- circularly‐polarised slotted‐patch‐antenna -- highly‐demanded millimetre‐wave MIMO systems -- fifth‐generation networks -- 5G networks -- computer‐aided‐design model -- artificial neural network -- single‐fed antenna -- near‐field goal -- far‐field goal -- time‐consuming electromagnetic simulation -- mathematical model -- CAD‐tool -- advanced design system -- strategic importance -- 5G nonlinear‐radiating‐systems -- far‐field behaviour -- ANN‐model -- antenna layout -- resonance condition -- indeed arbitrary orthogonal‐polarisation -- LHCP‐RHCP -- antenna radiation pattern -- MIMO application -- antenna‐coupling reduction -- polarisation diversity -- frequency 28 GHz -- frequency 38 GHz; Microwaves -- Periodicals; Microwave antennas -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Microwave communication systems -- Periodicals; 621.381305
• DOI: 10.1049/iet-map.2016.0987
• Languages: English
• ISSNs: 1751-8725

Abstract

Abstract : This study addresses the modelling of a dual band (28 and 38 GHz), circularly polarised slotted‐patch‐antenna for highly demanded millimetre wave multi‐input multi‐output (MIMO)‐systems in fifth generation (5G) networks. A computer‐aided‐design model is derived by means of an artificial neural network (ANN) which allows obtaining the physical dimensions of a single‐fed antenna, satisfying both near‐ and far‐field goals, without resorting to time‐consuming electromagnetic simulation. This mathematical model can be implemented in any CAD‐tool, as demonstrated within the framework of advanced design system. This allows, for the first time, to carry out optimisations of strategic importance for future 5G non‐linear‐radiating‐systems, especially operating at millimetre wave, directly addressing their far‐field behaviour. The model performance is validated by some examples and measurement results. A further important advantage of this approach is that the trained ANN‐model can be further adopted to fast, but accurately, investigate the complex relationships between antenna layout and its near‐field and far‐field performance, such as the resonance conditions and the polarisation behaviour. Indeed arbitrary orthogonal‐polarisations (LHCP/RHCP) have been achieved by the aid of the ANN‐model of the same topology. This result can be adopted to implement a combination of two independent radiation patterns for the antenna pair: this feature is attractive for MIMO applications. This is confirmed by measurements showing antenna‐coupling reduction with the MIMO‐array exploiting polarisation diversity.