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Channel estimation based on compressed sensing for massive MIMO systems with Lens Antenna Array
With the emergence of fifth-generation cellular networks (5G), there has been significant
interest in multi-input-multi-output (MIMO) systems. MIMO systems aim to achieve several …
interest in multi-input-multi-output (MIMO) systems. MIMO systems aim to achieve several …
The compressed sensing of wireless sensor networks based on Internet of Things
P Wei, F He - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In the application of wireless sensor networks, poor computing power, limited storage space,
and short duration have severely restricted the development of wireless sensor networks …
and short duration have severely restricted the development of wireless sensor networks …
[HTML][HTML] Compressive sensing based PAPR reduction in OFDM systems: Modified orthogonal matching pursuit approach
Orthogonal frequency division multiplexing (OFDM) has been proposed to achieve high data
rate transmission in wireless communications. The OFDM system usually suffers from the …
rate transmission in wireless communications. The OFDM system usually suffers from the …
Design of an adaptive framework with compressive sensing for spatial data in wireless sensor networks
Abstract Wireless Sensor Networks (WSNs) gather active sensor data within a specified
period to the sink node. The data transmission in restricted resource utilization in wireless …
period to the sink node. The data transmission in restricted resource utilization in wireless …
Mobile intelligent computing in Internet of Things: An optimized data gathering method based on compressive sensing
Z Sun, X **ng, B Song, Y Nie, H Shao - IEEE Access, 2019 - ieeexplore.ieee.org
In order to alleviate the impacts of the rapid network energy exhaustion and the unreliable
links on the data gathering in the Internet of Things (IoT), mobile intelligent computing based …
links on the data gathering in the Internet of Things (IoT), mobile intelligent computing based …
EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs
Compressive sensing (CS) is an effective strategy for data collection and maintaining energy
consumption balance in wireless sensor networks (WSN). CS usually exploits the space …
consumption balance in wireless sensor networks (WSN). CS usually exploits the space …
Diffusion fractional tap-length algorithm with adaptive error width and step-size
G Azarnia - Circuits, Systems, and Signal Processing, 2022 - Springer
Estimation in a cooperative and distributed manner in wireless sensor networks (WSNs) has
considered much attention in recent years. When this distributed estimation is performed …
considered much attention in recent years. When this distributed estimation is performed …
Generic cooperative and distributed algorithm for recovery of signals with the same sparsity profile in wireless sensor networks: a non-convex approach
Most of the wireless sensor networks (WSNs) are equipped with battery-powered devices
with limited processing/communication resources which necessitate the designed …
with limited processing/communication resources which necessitate the designed …
CS-FCDA: A compressed sensing-based on fault-tolerant data aggregation in sensor networks
Z Sun, H Wang, B Liu, C Li, X Pan, Y Nie - Sensors, 2018 - mdpi.com
When the nodes in the network are deployed in the target area with an appropriate density,
the effective aggregation and transmission of the data gathered in the monitoring area …
the effective aggregation and transmission of the data gathered in the monitoring area …
Distributed sparse diffusion estimation with reduced communication cost
The issue considered in the current study is the problem of adaptive distributed estimation
based on diffusion strategy which can exploit sparsity in improving estimation error and …
based on diffusion strategy which can exploit sparsity in improving estimation error and …