Initial access & beam alignment for mmWave and terahertz communications
The initial access in Millimeter wave (mmWave) 5G communications is very challenging and
time consuming. In general, mmWave and terahertz communications require the use of …
time consuming. In general, mmWave and terahertz communications require the use of …
A novel MmWave Beam Alignment Approach for Beyond 5G Autonomous Vehicle Networks
Nowadays, directional communication represents a high potential solution for Vehicle-to-
Everything (V2X) communication in Beyond-Fifth-Generation (B5G) vehicular networks …
Everything (V2X) communication in Beyond-Fifth-Generation (B5G) vehicular networks …
The performance of deep and conventional machine learning techniques for skin lesion classification
Skin lesion is any abnormalities occurring to the skin's tissue in terms of size, texture, shape,
and color. It can be a sign of autoimmune disorders, diabetes, etc. It can be a potentially …
and color. It can be a sign of autoimmune disorders, diabetes, etc. It can be a potentially …
Clustered and distributed caching methods for F-RAN-based mmWave communications
Fog-radio access networks (F-RANs) alleviate fronthaul delays for cellular networks as
compared to their cloud counterparts. This allows them to be suitable solutions for networks …
compared to their cloud counterparts. This allows them to be suitable solutions for networks …
[PDF][PDF] Forecasting Crude Oil Price with Hybrid Approaches
AL Zahouani, H Boubaker - Rev. Econ. Financ., 2023 - refpress.org
The objective of this paper is to study the oil price forecasting using parsimonious models
that provide the best possible match using the fewest variables or parameters and to …
that provide the best possible match using the fewest variables or parameters and to …
Utilizing Multi-Agent Systems Approach in Firefly Algorithm
Generally, using collective intelligence is one of the interesting topics is researchers of
recent years, which its purpose is modeling creatures' simple behaviors and their interaction …
recent years, which its purpose is modeling creatures' simple behaviors and their interaction …
Enhanced Transformer-BLSTM Model for Classifying Sentiment of User Comments on Movies and Books
Y Lin, T Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Classifying the sentiment of user comments on a website is a crucial task within Natural
Language Processing (NLP). Conducting sentiment analysis can aid businesses in gaining …
Language Processing (NLP). Conducting sentiment analysis can aid businesses in gaining …
Deep learning for primary sector prediction in fr2 new radio systems
Millimeter wave communications technology is an essential component of the new radio
(NR) standard for standalone 5G networks, ie, frequency range 2 (FR2) bands. This …
(NR) standard for standalone 5G networks, ie, frequency range 2 (FR2) bands. This …
[HTML][HTML] Machine Learning Techniques for Blind Beam Alignment in mmWave Massive MIMO
This paper proposes methods for Machine Learning (ML)-based Beam Alignment (BA),
using low-complexity ML models, and achieves a small pilot overhead. We assume a single …
using low-complexity ML models, and achieves a small pilot overhead. We assume a single …
Caching of popular content at F‐RAN for mmWave new radio
Fog computing allows for local data processing at the edge of the network. This allows for
reduced link delays between mobile users and access points. Here, fog nodes are …
reduced link delays between mobile users and access points. Here, fog nodes are …