Empowering non-terrestrial networks with artificial intelligence: A survey
6G networks can support global, ubiquitous and seamless connectivity through the
convergence of terrestrial and non-terrestrial networks (NTNs). Unlike terrestrial scenarios …
convergence of terrestrial and non-terrestrial networks (NTNs). Unlike terrestrial scenarios …
Generative AI for space-air-ground integrated networks (SAGIN)
Recently, generative AI technologies have emerged as a significant advancement in artificial
intelligence field, renowned for their language and image generation capabilities. Meantime …
intelligence field, renowned for their language and image generation capabilities. Meantime …
Energy-efficient wake-up signalling for machine-type devices based on traffic-aware long short-term memory prediction
DE Ruíz-Guirola, CA Rodríguez-López… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Reducing energy consumption is a pressing issue in low-power machine-type
communication (MTC) networks. In this regard, the Wake-up Signal (WuS) technology, which …
communication (MTC) networks. In this regard, the Wake-up Signal (WuS) technology, which …
Deep learning based prediction of traffic peaks in mobile networks
In mobile networks, it is essential to configure networks more efficiently to provide mobile
users with services having better quality. For the adjacent cells, sometimes the mobile traffic …
users with services having better quality. For the adjacent cells, sometimes the mobile traffic …
An efficient QGA-based model for resource allocation in D2D communication for 5G-HCRAN networks
Device-to-Device (D2D) communication with Cloud Radio Access Networks (CRAN) has
emerged as a promising technology to fulfil the objective of 5th-Generation networks with …
emerged as a promising technology to fulfil the objective of 5th-Generation networks with …
Air quality forecasting‐driven cloud resource allocation for sustainable energy consumption: An ensemble classifier approach
M Kandan, K Jayasakthi Velmurugan… - Transactions on …, 2024 - Wiley Online Library
In recent times, air quality prediction is turned out to be one of the important research topics
among research communities to prevent lives from negative health impacts. Random …
among research communities to prevent lives from negative health impacts. Random …
Software-defined gpu-cpu empowered efficient wireless federated learning with embedding communication coding for beyond 5g
Currently, with the widespread of the intelligent Internet of Things (IoT) in beyond 5G,
wireless federated learning (WFL) has attracted a lot of attention to enable knowledge …
wireless federated learning (WFL) has attracted a lot of attention to enable knowledge …
Deep reinforcement learning empowered energy efficient task-offloading in cloud-radio access networks
N Kumar, A Ahmad - International Journal of …, 2023 - inderscienceonline.com
Mobile applications often demand computationally heavy resources to attain high quality, on
the other hand, running all programs on a single mobile device still consumes a lot of energy …
the other hand, running all programs on a single mobile device still consumes a lot of energy …
A novel energy-saving method for campus wired and dense WiFi network applying machine learning and idle cycling techniques
R Alvarado, A Suárez - FACETS, 2024 - facetsjournal.com
University campus networks need wired (ethernet) and dense wireless fidelity networks that
have devices like access points, switches, and routers that are always turned on …
have devices like access points, switches, and routers that are always turned on …
Power Estimation Tool for Digital Front-End 5G Radio ASIC
R Bhutada - 2023 - diva-portal.org
Abstract Application Specific Integrated Circuits (ASICs) are critical to delivering on 5G's
promises of high speed, low latency, and expanded capacity. Digital Front-End (DFE) ASICs …
promises of high speed, low latency, and expanded capacity. Digital Front-End (DFE) ASICs …