AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
Recent advances in cloud radio access networks: System architectures, key techniques, and open issues
As a promising paradigm to reduce both capital and operating expenditures, the cloud radio
access network (C-RAN) has been shown to provide high spectral efficiency and energy …
access network (C-RAN) has been shown to provide high spectral efficiency and energy …
Deep deterministic policy gradient (DDPG)-based energy harvesting wireless communications
To overcome the difficulties of charging the wireless sensors in the wild with conventional
energy supply, more and more researchers have focused on the sensor networks with …
energy supply, more and more researchers have focused on the sensor networks with …
Fundamental green tradeoffs: Progresses, challenges, and impacts on 5G networks
With years of tremendous traffic and energy consumption growth, green radio has been
valued not only for theoretical research interests but also for the operational expenditure …
valued not only for theoretical research interests but also for the operational expenditure …
Advancements in industrial cyber-physical systems: An overview and perspectives
Cyber-physical systems (CPSs) have attracted increasing attention in recent years due to
their promise for substantial and long-term benefits to society, economy, environment, and …
their promise for substantial and long-term benefits to society, economy, environment, and …
A latency and reliability guaranteed resource allocation scheme for LTE V2V communication systems
By leveraging direct device-to-device interaction, LTE vehicle-to-vehicle (V2V)
communication becomes a promising solution to meet the stringent requirements of …
communication becomes a promising solution to meet the stringent requirements of …
Utility-optimal resource management and allocation algorithm for energy harvesting cognitive radio sensor networks
In this paper, we study resource management and allocation for energy harvesting cognitive
radio sensor networks (EHCRSNs). In these networks, energy harvesting supplies the …
radio sensor networks (EHCRSNs). In these networks, energy harvesting supplies the …
Recent advances in underlay heterogeneous networks: Interference control, resource allocation, and self-organization
M Peng, C Wang, J Li, H Xiang… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
By deploying additional low power nodes (LPNs) within the coverage area of traditional high
power nodes (HPNs) and bringing them closer to users, underlay heterogeneous networks …
power nodes (HPNs) and bringing them closer to users, underlay heterogeneous networks …
Joint computation offloading and multiuser scheduling using approximate dynamic programming in NB-IoT edge computing system
The Internet of Things (IoT) connects a huge number of resource-constraint IoT devices to
the Internet, which generate massive amount of data that can be offloaded to the cloud for …
the Internet, which generate massive amount of data that can be offloaded to the cloud for …
Online distributed optimization for energy-efficient computation offloading in air-ground integrated networks
J Zhao, X Sun, X Ma, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driven by ever-increasing vehicular intelligent computation-intensive and delay-sensitive
services, this paper investigates the computing offloading in unmanned aerial vehicle (UAV) …
services, this paper investigates the computing offloading in unmanned aerial vehicle (UAV) …