Near-Field Measurement System for the Upper Mid-Band
Paper in proceeding, 2024

The upper mid-band (or FR3, spanning 6-24 GHz) is a crucial frequency range for next-generation mobile networks, offering a favorable balance between coverage and spectrum efficiency. From another perspective, the systems operating in the near-field in both indoor environment and outdoor environments can support line-of-sight multiple input multiple output (MIMO) communications and be beneficial from the FR3 bands. In this paper, a novel method is proposed to measure the near-field parameters leveraging a recently developed reflection model where the near-field paths can be described by their image points. We show that these image points can be accurately estimated via triangulation from multiple measurements with a small number of antennas in each measurement, thus affording a low-cost procedure for near-field multi-path parameter extraction. A preliminary experimental apparatus is presented comprising 2 transmit and 2 receive antennas mounted on a linear track to measure the 2 × 2 MIMO channel at various displacements. The system uses a recently-developed wideband radio frequency (RF) transceiver board with fast frequency switching, an FPGA for fast baseband processing, and a new parameter extraction method to recover paths and spherical characteristics from the multiple 2 × 2 measurements.

Upper mid-band channel estimation

Synthetic aperture

Near-field channel model

Reflection model

FR3 measurement system

Author

Ali Rasteh

New York University

Raghavendra Palayam Hari

New York University

Hao Guo

New York University

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Marco Mezzavilla

Polytechnic University of Milan

Sundeep Rangan

New York University

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

1684-1689
9798350354058 (ISBN)

58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
Hybrid, Pacific Grove, USA,

6G Communication-Aware Navigation for Robot Directives (6G-COMMAND)

Swedish Research Council (VR) (2023-00272), 2023-07-01 -- 2025-06-30.

Subject Categories (SSIF 2025)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Signal Processing

DOI

10.1109/IEEECONF60004.2024.10942861

More information

Latest update

4/23/2025