Results 81 to 90 of about 3,564 (212)

Device-to-device communication in 5G heterogeneous network based on game-theoretic approaches: A comprehensive survey

open access: yes
In the evolution of Fifth-Generation (5G) oriented wireless communication technology, the conventional wireless communication performance indicators, including network capacity, spectrum efficiency, and Quality of Services (QoS), need to be continuously ...
Gadekallu, T. R.   +6 more
core   +1 more source

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein   +3 more
wiley   +1 more source

Interference minimization for device-to-device (D2D) communications [PDF]

open access: yes, 2018
In a cellular network, a central base station manages the cellular users. Direct device-to-device (D2D) communication within short-range can improve the spectral efficiency of the network.
University of Lethbridge. Faculty of Arts and Science   +1 more
core  

Framework for Task Offloading in O‐RAN Architecture for Heterogeneous Computing Applications

open access: yesTransactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.
This work proposes a task offloading framework in ORAN architecture, optimizing computational assignment across user devices, edge cloud, and regional cloud. By efficiently selecting processing nodes and allocating computational and radio resources, it minimizes delay while accommodating diverse latency requirements for gold, silver, and bronze‐tier ...
Samira Taheri   +3 more
wiley   +1 more source

Energy‐Efficient Element Selection in RIS‐Assisted Backscatter Communication Systems

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
This paper investigates energy‐efficient reconfigurable intelligent surface (RIS) assisted ambient backscatter communication systems with energy‐harvesting tags. A low‐complexity RIS element selection strategy is developed to satisfy both energy‐harvesting and signal‐to‐interference‐plus‐noise ratio constraints while minimizing overall power ...
Mengistu A. Mulatu   +2 more
wiley   +1 more source

Network-Assisted Device-to-Device (D2D) Direct Proximity Discovery with Underlay Communication [PDF]

open access: yes2015 IEEE Global Communications Conference (GLOBECOM), 2014
Accepted for presentation at Globecom ...
Nuno K. Pratas, Petar Popovski
openaire   +2 more sources

A Chaotic Compressive Sensing‐Based Secure Device‐to‐Device Communication

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
This research proposes the construction of a single combined measurement matrix built from two discrete chaotic sequences for enhanced randomness in the data. Additionally, a separate chaotic system is used in a novel way to construct orthogonal matrices. ABSTRACT The need for secure information exchange is increasingly felt with an exponential rise in
Muhammad Irfan   +3 more
wiley   +1 more source

Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm

open access: yesIEEE Access, 2018
Device-to-device (D2D) communication plays an important role in the next generation of communication systems. Enabling D2D communication decreases latency and expands the coverage of a cell in cellular networks.
Hengameh Takshi   +2 more
doaj   +1 more source

Device-to-Device Communication in 5G: Towards Efficient Scheduling

open access: yes, 2018
5G wireless networks are expected to carry large traffic volumes due to the growth of mobile devices and the increasing demand for high data rates from applications.
Raad Raad (19584145)   +3 more
core  

Deep Reinforcement Learning and IoT for Renewable Energy Optimization in Smart Buildings: A Comprehensive Review

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar   +2 more
wiley   +1 more source

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