Deep multiagent reinforcement-learning-based resource allocation for internet of controllable things
Ultrareliable and low-latency communication (URLLC) is a prerequisite for the successful
implementation of the Internet of Controllable Things. In this article, we investigate the …
implementation of the Internet of Controllable Things. In this article, we investigate the …
Enabling relay-assisted D2D communication for cellular networks: Algorithm and protocols
Recently, there is a growing emphasis on device-to-device (D2D) communication, which is
the key component of the Internet-of-Things ecosystem. D2D communication can operate on …
the key component of the Internet-of-Things ecosystem. D2D communication can operate on …
Spectrum-efficient QoS-aware resource assignment for FFR-based D2D-enabled heterogeneous networks
Small cells and Device-to-Device (D2D) communication can improve the coverage and
capacity of cellular systems, thereby enabling an enriched customer experience. To optimize …
capacity of cellular systems, thereby enabling an enriched customer experience. To optimize …
Deep multi-agent reinforcement learning for resource allocation in D2D communication underlaying cellular networks
X Zhang, Z Lin, B Ding, B Gu… - 2020 21st Asia-Pacific …, 2020 - ieeexplore.ieee.org
Device-to-device communications underlaying cellular networks have been recognized as
one of the key technologies for the fifth generation (5G) cellular system to improve the …
one of the key technologies for the fifth generation (5G) cellular system to improve the …
Resource sharing for cellular-assisted D2D communications with imperfect CSI: a many-to-many strategy
W Li, X Qin, Z Jia, J Bi, X Li - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
The rising demand for higher access rate and higher data rate applications will lead to the
shortage of available spectrum resources. In this article, we propose a scalable framework to …
shortage of available spectrum resources. In this article, we propose a scalable framework to …
[PDF][PDF] D2D 通信的干扰控制和资源分配算法研究
范康康， 董颖， 钱志鸿， 王雪 - Journal on Communication …, 2018 - infocomm-journal.com
针对D2D (device-to-device) 通信复用蜂窝资源所带来的干扰问题, 提出了一种单小区蜂窝系统
下D2D 通信的干扰控制和资源分配算法. 首先, 根据系统内用户之间的干扰构建干扰图, 为D2D …
下D2D 通信的干扰控制和资源分配算法. 首先, 根据系统内用户之间的干扰构建干扰图, 为D2D …
On the impact of the physical layer model on the performance of D2D-offloading in vehicular environments
Offloading data traffic from Infrastructure-to-Device (I2D) to Device-to-Device (D2D)
communications is a powerful tool for reducing congestion, energy consumption, and …
communications is a powerful tool for reducing congestion, energy consumption, and …
D2D data offloading in vehicular environments with optimal delivery time selection
Within the framework of a Device-to-Device (D2D) data offloading system for cellular
networks, we propose a Content Delivery Management System (CDMS) in which the instant …
networks, we propose a Content Delivery Management System (CDMS) in which the instant …
Performance analysis of a device-to-device offloading scheme for vehicular networks
L Pescosolido, M Conti… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
We consider a scheme for offloading the delivery of contents to mobile devices in a vehicular
environment. Each content can be delivered to the requesting device either by a …
environment. Each content can be delivered to the requesting device either by a …
Performance analysis of a device-to-device offloading scheme in a vehicular network environment
L Pescosolido, M Conti, A Passarella - arXiv preprint arXiv:1801.09082, 2018 - arxiv.org
We consider a scheme for offloading the delivery of contents to mobile devices in a vehicular
networking scenario. Each content can be delivered to the requesting device either by a …
networking scenario. Each content can be delivered to the requesting device either by a …