Results 41 to 50 of about 1,832 (136)
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.This paper proposes a new framework combining distributed collective intelligence and deep neural networks (DNNs) for multiobjective optimization in wireless systems of future generation. This paper mitigates some of those disadvantages by proposing a distributed consensus algorithm that incorporates predictive energy allocation and power‐based ...
Mohammed Aboud Kadhim +3 more
wiley +1 more source
Toward a Robust Sparse Data Representation for Wireless Sensor Networks
, 2015 Compressive sensing has been successfully used for optimized operations in wireless sensor networks. However, raw data collected by sensors may be neither originally sparse nor easily transformed into a sparse data representation.
Alsheikh, Mohammad Abu +3 more
core +1 more source
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.This paper proposes an AI‐based light fidelity (Li‐Fi) and millimeter‐wave (mmWave) architecture to hastily mitigate most of the challenges in vehicle‐to‐vehicle (V2V) communication systems. Through traffic prediction based on machine learning technologies, the system enables proactive resource allocation, as well as intelligent frequency management in
Mohammed Aboud Kadhim +3 more
wiley +1 more source
Secrecy Performance of Small-Cell Networks With Transmitter Selection and Unreliable Backhaul Under Spectrum Sharing Environment [PDF]
IEEE Transactions on Vehicular Technology, 2019 We investigate the secrecy performance of an underlay small-cell cognitive radio network under unreliable backhaul connections. The small-cell network shares the same spectrum with the primary network, ensuring that a desired outage probability constraint is always met in the primary network. {To improve the security of the small-cell cognitive network,
Jinghua Zhang +4 more
openaire +3 more sources
A Review of the Internet of Things (IoT) Landscape: Technologies, Applications, and Open Challenges
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.The Internet of Things (IoT) has emerged as a large‐scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industrial automation, and smart cities, where heterogeneous devices are required to operate under strict performance, reliability, and ...
Sidna Jeddou +5 more
wiley +1 more source
Secrecy Analysis of CSI Ratio-Based Transmitter Selection with Unreliable Backhaul
2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)This paper explores the secrecy performance of a multi-transmitter system with unreliable backhaul links. To improve secrecy, we propose a novel transmitter selection (TS) scheme that selects a transmitter with the maximum ratio of the destination channel power gain to the eavesdropping channel power gain.
Burhan Wafai, Ankit Dubey, Chinmoy Kundu
openaire +2 more sources
Journal of Sensors, Volume 2026, Issue 1, 2026.This study presents a simulation‐driven digital twin (DT) prototype framework, designed around a wireless sensor network (WSN) style pipeline, to study congestion and vehicular emissions at an urban signalized junction. The architecture follows a sensing‐to‐edge workflow: detector‐like traffic measurements (counts and speeds) are published through an ...
Timothy Dkhar +5 more
wiley +1 more source
Two-Stage LASSO ADMM Signal Detection Algorithm For Large Scale MIMO
, 2018 This paper explores the benefit of using some of the machine learning techniques and Big data optimization tools in approximating maximum likelihood (ML) detection of Large Scale MIMO systems.
Al-Abbasi, Abubakr O. +3 more
core +1 more source
IET Communications, Volume 19, Issue 1, January/December 2025.We introduce a fully distributed framework that leverages belief‐desire‐intention extended (BDIx) agents on user devices to perform dynamic clustering and access‐point selection in a cell‐free 6G network, using both classical and deep‐learning methods for deterministic, scalable AP grouping.
Iakovos Ioannou +5 more
wiley +1 more source
Integrated mmWave Access and Backhaul in 5G: Bandwidth Partitioning and Downlink Analysis
, 2017 With the increasing network densification, it has become exceedingly difficult to provide traditional fiber backhaul access to each cell site, which is especially true for small cell base stations (SBSs).
Afshang, Mehrnaz +2 more
core +1 more source