Survey and taxonomy of clustering algorithms in 5G
The large-scale deployment of fifth generation (5G) is expected to produce a massive
amount of data with high variability due to ultra-densification and the rapid increase in a …
amount of data with high variability due to ultra-densification and the rapid increase in a …
Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …
architectures should be modified. To cope with the challenges that arise due to the …
Multi-agent deep reinforcement learning based spectrum allocation for D2D underlay communications
Device-to-device (D2D) communication underlay cellular networks is a promising technique
to improve spectrum efficiency. In this situation, D2D transmission may cause severe …
to improve spectrum efficiency. In this situation, D2D transmission may cause severe …
Distributed artificial intelligence solution for D2D communication in 5G networks
Device-to-device (D2D) communication, a core technology component of the evolving fifth-
generation (5G) architecture, promises improvements in energy efficiency, spectral …
generation (5G) architecture, promises improvements in energy efficiency, spectral …
Resource allocation schemes in D2D communications: Overview, classification, and challenges
Abstract Device-to-Device (D2D) communications is predicted to be a major part of 5G
wireless communications due to its benefits such as flexible connectivity and unloading of …
wireless communications due to its benefits such as flexible connectivity and unloading of …
Joint subcarrier assignment with power allocation for sum rate maximization of D2D communications in wireless cellular networks
Device-to-device (D2D) communications underlaying cellular networks have been
recognized as a promising technology to improve the system capacity and spectral efficiency …
recognized as a promising technology to improve the system capacity and spectral efficiency …
Multi-agent reinforcement learning for dynamic resource management in 6G in-X subnetworks
The 6G network enables a subnetwork-wide evolution, resulting in a “network of
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
Learning to branch: Accelerating resource allocation in wireless networks
Resource allocation in wireless networks, such as device-to-device (D2D) communications,
is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are …
is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are …
An iterative matching-Stackelberg game model for channel-power allocation in D2D underlaid cellular networks
In device-to-device (D2D) underlaid cellular networks, several D2D pairs can share one
channel to improve the system throughput. Most existing works allow D2D pairs to reuse all …
channel to improve the system throughput. Most existing works allow D2D pairs to reuse all …
Distributed resource allocation for D2D communications underlaying cellular networks in time-varying environment
In this letter, we address joint channel and power allocation in a device-to-device (D2D)
network underlaying a cellular network in a time-varying environment. A fully distributed …
network underlaying a cellular network in a time-varying environment. A fully distributed …