Deterministic pilot design for sparse channel estimation in MISO/multi-user OFDM systems

R Mohammadian, A Amini… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We study the pilot design problem for sparse channel estimation in OFDM systems where
multiple channels are estimated at a single antenna receiver. Such design is applicable to …

Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels

AN Uwaechia, NM Mahyuddin, MF Ain, NMA Latiff… - Physical …, 2019 - Elsevier
Doubly selective (DS) channel estimation for the downlink massive multiple-input-multiple-
output orthogonal frequency division multiplexing (MIMO-OFDM) systems is a challenging …

Adaptive pilot allocation for estimating sparse uplink MU-MIMO-OFDM channels

T Li, N Noels, KY Kapusuz, S Lemey… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We consider uplink multiuser multiple-input multiple-output (MIMO) orthogonal frequency
division multiplexing (OFDM) communication. The transmit (Tx) side of the envisaged system …

Compressed sensing channel estimation in massive MIMO

A Pramanik, SP Maity, Z Farheen - IET Communications, 2019 - Wiley Online Library
Massive multiple‐input–multiple‐output (MIMO) emerges as a promising technology to meet
the ever growing demand on a large volume of data transmission in an energy efficient …

Compressed Sensing for Feedback Generation in OFDM Based LiFi Systems

J Gholipour, KL Bober, M Hinrichs… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
In this paper, we evaluate the effectiveness of compressed-sensing-based channel
estimation in LiFi orthogonal frequency-division multiplex (OFDM) systems with multiple …

Deterministic pilot design for structured sparse channel estimation in MISO systems

J Cai, X He, H Wang, R Song - Wireless Networks, 2020 - Springer
To reduce the pilot overhead, compressive sensing techniques have been widely adopted
for sparse channel estimation. In this paper, we explore the spatial common sparsity across …

[NAVOD][C] On Compressed Sensing Image Reconstruction over Radio Mobile Channel

A Pramanik - 2018 - IIEST Shibpur,