Non-orthogonal multiple access enabled mobile edge computing in 6G communications: A systematic literature review
Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …
recently gained a lot of interest due to its improved ability to lessen power consumption and …
Survey on digital twin edge networks (DITEN) toward 6G
F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
Hybrid NOMA offloading in multi-user MEC networks
Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has
recently attracted significant attention due to its superior capability to reduce the energy …
recently attracted significant attention due to its superior capability to reduce the energy …
Dynamic task offloading for digital twin-empowered mobile edge computing via deep reinforcement learning
Limited by battery and computing resources, the computing-intensive tasks generated by
Internet of Things (IoT) devices cannot be processed all by themselves. Mobile edge …
Internet of Things (IoT) devices cannot be processed all by themselves. Mobile edge …
Multi-objective optimization for spectrum and energy efficiency tradeoff in IRS-assisted CRNs with NOMA
Non-orthogonal multiple access (NOMA) is a promising candidate for the sixth generation
wireless communication networks due to its high spectrum efficiency (SE), energy efficiency …
wireless communication networks due to its high spectrum efficiency (SE), energy efficiency …
DRL-driven dynamic resource allocation for task-oriented semantic communication
H Zhang, H Wang, Y Li, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …
intelligent applications. However, few studies have addressed the problem of resource …
Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey
NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …
technology and machine learning (ML), where intelligent networks can provide pervasive …
Energy-efficient design for a NOMA assisted STAR-RIS network with deep reinforcement learning
Simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs)
have been considered promising auxiliary devices to enhance the performance of the …
have been considered promising auxiliary devices to enhance the performance of the …
Short-term and long-term throughput maximization in mobile wireless-powered internet of things
With the evolution of IoT, some IoT nodes possess a certain degree of mobility, and the
gains of the corresponding channels vary dramatically, incurring the energy supply problem …
gains of the corresponding channels vary dramatically, incurring the energy supply problem …
Deep reinforcement learning-based multidimensional resource management for energy harvesting cognitive NOMA communications
The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …