Wideband collaborative spectrum sensing using massive MIMO decision fusion

I Dey, D Ciuonzo, PS Rossi - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this paper, in order to tackle major challenges of spectrum exploration & allocation in
Cognitive Radio (CR) networks, we apply the general framework of Decision Fusion (DF) to …

Statistical device activity detection for OFDM-based massive grant-free access

W Jiang, Y Jia, Y Cui - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Existing works on grant-free access, proposed to support massive machine-type
communication (mMTC) for the Internet of Things (IoT), mainly concentrate on narrow band …

Matrix-Monotonic Optimization Part II: Multi-Variable Optimization

C **ng, S Wang, S Chen, S Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In contrast to Part I of this treatise (**ng, 2021) that focuses on the optimization problems
associated with single matrix variables, in this paper, we investigate the application of the …

Centralized and distributed millimeter wave massive MIMO-based data fusion with perfect and Bayesian learning (BL)-based imperfect CSI

A Chawla, PS Kumar, S Srivastava… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper presents low-complexity decision rules as well as the pertinent analysis for data
fusion in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) wireless …

Distributed detection for centralized and decentralized millimeter wave massive MIMO sensor networks

A Chawla, RK Singh, A Patel… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Multi-sensor millimeter wave (mmWave) massive multiple-input multiple-output (MIMO)
wireless sensor networks (WSNs) relying on both distributed (D-MIMO) and centralized (C …

Historical development of spatial modulation and massive mimo communication system with implementation challenges: A review

AK Sharma, V Sharma, K Kapoor - International Journal of …, 2021 - benthamdirect.com
For wireless communication networks, massive MIMO (Multiple-Input Multiple-Output)
technology has been considered a major achievement. MIMO Technology consists of …

Relay selection scheme based on deep reinforcement learning in wireless sensor networks

D Zhou, B Yan, C Li, A Wang, H Wei - Physical Communication, 2022 - Elsevier
Cooperative communication technology has realized the enhancement in the wireless
communication system's spectrum utilization rate without resorting to any additional …

On the energy efficiency of massive MIMO systems with low-resolution ADCs and lattice reduction aided detectors

Z **ao, J Zhao, T Liu, L Geng, F Zhang, J Tong - Symmetry, 2020 - mdpi.com
As an effective technology for boosting the performance of wireless communications,
massive multiple-input multiple-output (MIMO) systems based on symmetric antenna arrays …

An exponentially-tight approximate factorization of the joint PDF of statistical dependent measurements in wireless sensor networks

JA Maya, LR Vega, AM Tonello - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
We consider the distributed detection problem of a temporally correlated random radio
source signal using a wireless sensor network capable of measuring the energy of the …

Signal fusion-based detection with an intuitive weighting method

J Lu, S Zhou, J Wang, D Li, T Feng… - 2020 IEEE Radar …, 2020 - ieeexplore.ieee.org
In a distributed multiple-input multiple-output (MIMO) radar, signal fusion based detection
can achieve the best detection performance but the global test may be a complicated …