DEARER: A distance-and-energy-aware routing with energy reservation for energy harvesting wireless sensor networks

Y Dong, J Wang, B Shim, DI Kim - IEEE Journal on Selected …, 2016 - ieeexplore.ieee.org
We consider cluster-based routing protocols for energy harvesting wireless sensor networks.
Since the energy harvesting process does not match the real energy demand, sensor nodes …

Primary user emulation and jamming attack detection in cognitive radio via sparse coding

HM Furqan, MA Aygül, M Nazzal, H Arslan - EURASIP Journal on Wireless …, 2020 - Springer
Cognitive radio is an intelligent and adaptive radio that improves the utilization of the
spectrum by its opportunistic sharing. However, it is inherently vulnerable to primary user …

Communication-efficient quantized deep compressed sensing for edge-cloud collaborative industrial IoT networks

M Zhang, H Zhang, C Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the limited energy, communication bandwidth and computing ability of edge devices
in Industrial Internet of Things (IIoT) networks, it is incredibly challenging to compress and …

Joint coherent and non-coherent detection and decoding techniques for heterogeneous networks

L Marata, OLA López, H Djelouat… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Cellular networks that are traditionally designed for human-type communication (HTC) have
the potential to provide cost effective connectivity to machine-type communication (MTC) …

A grant-free random access scheme for M2M communication in massive MIMO systems

H Han, Y Li, W Zhai, L Qian - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
A novel grant-free random access scheme is proposed to support massive connectivity with
low access delay and overhead for machine-to-machine communication in massive multiple …

Joint sparse recovery using signal space matching pursuit

J Kim, J Wang, LT Nguyen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we put forth a new joint sparse recovery algorithm called signal space
matching pursuit (SSMP). The key idea of the proposed SSMP algorithm is to sequentially …

Exploiting transmission control for joint user identification and channel estimation in massive connectivity

Z Sun, Z Wei, L Yang, J Yuan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a transmission control scheme for the approximate message
passing (AMP)-based joint user identification and channel estimation in massive …

Sparse superimposed coding for short-packet URLLC

X Zhang, D Zhang, B Shim, G Han… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Sparse vector coding (SVC) is emerging as a key enabler for short-packet ultrareliable and
low-latency communications (URLLCs), since it displays good block error rate (BLER) …

Statistical tools and methodologies for URLLC-a tutorial

OA López, M Shehab, NH Mahmood, H Alves… - Authorea …, 2023 - techrxiv.org
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …

A robust channel estimation scheme for 5G massive MIMO systems

I Khan, JJPC Rodrigues, J Al-Muhtadi… - Wireless …, 2019 - Wiley Online Library
Channel state information (CSI) feedback in massive MIMO systems is too large due to large
pilot overhead. It is due to the large channel matrix dimension which depends on the …