Performance and Feasibility Analysis of a Channel Sounding Based Massive MIMO Channel Model

The high millimeter wave frequencies (100 - 300 GHz) have retained their interest in the scientific community for various high data rate applications, such as front- and backhaul networks. The high path losses at these frequencies require utilization of very large antenna gains. Large arrays are a natural way to generate antenna gain and allow degrees of freedom in beamforming at the same time, as well as they allow multiple-input multiple-output (MIMO) access methods. This paper analyses a newly developed MIMO channel model for 140 GHz. The results show that as expected based on the literature, the channels are quite sparse. Interestingly, optimal power allocation uses only few of the available degrees of freedom. This is mostly attributed to the high losses in the channel. Still, the channel ranks theoretically allow large numbers parallel channels, albeit using them all would not always be energy optimal.

Authors

Institutions

Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999239
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance and Feasibility Analysis of a Channel Sounding Based Massive MIMO Channel Model

Markku Juntti, Pekka Kyösti, Joonas Kokkoniemi, Chathuri Weragama
Advanced MIMO Systems Optimization
article

Performance and Feasibility Analysis of a Channel Sounding Based Massive MIMO Channel Model

Markku Juntti, Pekka Kyösti, Joonas Kokkoniemi, Chathuri Weragama
article en

Abstract

The high millimeter wave frequencies (100 - 300 GHz) have retained their interest in the scientific community for various high data rate applications, such as front- and backhaul networks. The high path losses at these frequencies require utilization of very large antenna gains. Large arrays are a natural way to generate antenna gain and allow degrees of freedom in beamforming at the same time, as well as they allow multiple-input multiple-output (MIMO) access methods. This paper analyses a newly developed MIMO channel model for 140 GHz. The results show that as expected based on the literature, the channels are quite sparse. Interestingly, optimal power allocation uses only few of the available degrees of freedom. This is mostly attributed to the high losses in the channel. Still, the channel ranks theoretically allow large numbers parallel channels, albeit using them all would not always be energy optimal.

University of Oulu (FI)
Openalex Percentile: Top 91%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.