Results 61 to 70 of about 17,699 (203)

Characteristic of social and communicative criteria of foreign students adaptation [PDF]

, 2016
Target tracking with ultra-wideband (UWB) signals in indoor environments is a challenging problem due to the presence of multipath and non-line-of-sight conditions (NLOS).
Bakalo, Olha, Бакало, Ольга
core   +2 more sources

Enhancing CNN Path Loss Estimation Performance using Satellite Image and Distance Feature

IET Communications, Volume 20, Issue 1, January/December 2026.
Fine‐tuning a pretrained VGG‐16 accommodates efficient model retraining. Including distance feature improves path loss (PL) estimation accuracy and efficiency. The distance information is best supplied in a form in line with the empirical PL model. ABSTRACT We employ convolutional neural networks (CNNs) with distance feature and satellite image for ...
Renata Nur Afifah, Irma Zakia
wiley   +1 more source

A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and Non-Line of Sight Scenarios

Mathematics
Relative positioning accuracy between two devices is dependent on the precise range measurements. Ultra-wideband (UWB) technology is one of the popular and widely used technologies to achieve centimeter-level accuracy in range measurement.
A. S. M. Sharifuzzaman Sagar, Samsil Arefin, Eesun Moon, Md Masud Pervez Prince, L. Minh Dang, Amir Haider, Hyung Seok Kim   +6 more
doaj   +1 more source

Coverage Enhancement for NLOS mmWave Links Using Passive Reflectors

IEEE Open Journal of the Communications Society, 2020
The future 5G networks are expected to use millimeter wave (mmWave) frequency bands to take advantage of the large unused spectrum. However, due to the high path loss at mmWave frequencies, coverage of mmWave signals can get severely reduced, especially ...
Wahab Khawaja, Ozgur Ozdemir, Yavuz Yapici, Fatih Erden, Ismail Guvenc   +4 more
doaj   +1 more source

Will the area spectral efficiency monotonically grow as small cells go dense? [PDF]

, 2015
© 2015 IEEE. In this paper, we introduce a sophisticated path loss model into the stochastic geometry analysis incorporating both line-of-sight (LoS) and non- line-of-sight (NLoS) transmissions to study their performance impact in small cell networks ...
Ding, M, Lin, Z, Lopez-Perez, D, Mao, G, Wang, P   +4 more
core   +2 more sources

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra, Sandesh Jain, K. Venkateswaran, Rajat Kumar, Vimal Bhatia, Ondrej Krejcar   +5 more
wiley   +1 more source

Efficient AOA Estimation and NLOS Signal Utilization for LEO Constellation-Based Positioning Using Satellite Ephemeris Information

Applied Sciences
As large-scale low Earth orbit (LEO) constellations continue to expand, the potential of their signal strength for positioning applications should be fully leveraged.
Junqi Guo, Yang Wang
doaj   +1 more source

Pengaruh Link Relay Terhadap Kinerja Komunikasi Kooperatif Vehicle-to-Vehicle (V2V)

Jurnal Elkomika, 2022
ABSTRAK Kebutuhan komunikasi bergerak saat ini sangat tinggi, Vehicular Ad-hoc Network (VANET) merupakan metode teknologi telekomunikasi untuk komunikasi bergerak pada kendaraan.
ISNAN MUHARRAM, RAMZI ADRIMAN, NASARUDDIN NASARUDDIN   +2 more
doaj   +1 more source

Average Error Probability Analysis in mmWave Cellular Networks

, 2015
In this paper, a mathematical framework for the analysis of average symbol error probability (ASEP) in millimeter wave (mmWave) cellular networks with Poisson Point Process (PPP) distributed base stations (BSs) is developed using tools from stochastic ...
Gursoy, M. Cenk, Turgut, Esma
core   +1 more source

Regularised Hyper Parameter Bi Level Optimisation With Continual Learning Based Deep Neural Network for Beamforming in Ultra‐Wide Band System

IET Communications, Volume 20, Issue 1, January/December 2026.
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna, Bidare Divakarachari Parameshachari, Dharmanna Shivappa Lamani   +2 more
wiley   +1 more source