Enhanced Beamspace Channel Recovery in mmWave MIMO Using Deep Neural Networks

Saraswathi, V. and Anand, Vatsala and Lakshmi, Yaddanapudi Venkata Bhaskara and Kumar, Samana Vinaya and Burra, Vijaya Babu and Mahalaxmi, U.S.B.K. and Jalli, Suneetha and Bolisetty, V. Vijayasri and Patchala, Sarala (2025) Enhanced Beamspace Channel Recovery in mmWave MIMO Using Deep Neural Networks. EAI Endorsed Transactions on Internet of Things.

[thumbnail of 79788.pdf] PDF
79788.pdf
Download (1MB)

Abstract

Millimeter-wave (mmWave) massive MIMO systems use many antennas. These systems offer high data rates. But using many radio frequency (RF) chains increases cost and power use. To solve this, lens antenna arrays are used. Energy is focused, allowing the use of fewer RF chains. However, this creates a

Item Type: Article
Date Deposited: 04 Mar 2026 20:22
Last Modified: 16 Apr 2026 15:44
URI: http://eprints.eai.eu/id/eprint/60381

Actions (login required)

View Item
View Item