A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …
different communication environments are expected to be satisfied. As a new evolution …
Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
Partial offloading scheduling and power allocation for mobile edge computing systems
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …
the edge of mobile networks. The joint problem of partial offloading decision, offloading …
Energy-efficient joint task offloading and resource allocation in OFDMA-based collaborative edge computing
Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …
storage resources to the edge of mobile network and provides rich services and applications …
A review of Internet of Things—Resource allocation
As one of emerging technologies, Internet of Things (IoT) has become popular. This article
reviews the literature regarding resource allocation (RA) of the Internet of Things …
reviews the literature regarding resource allocation (RA) of the Internet of Things …
Enhancements of resource management for device to device (D2D) communication: a review
J Logeshwaran… - … on I-SMAC (IoT in Social …, 2019 - ieeexplore.ieee.org
For wireless devices; information sharing from one device to another represents the most
significant task for typically discovering the right devices and connecting them is extremely …
significant task for typically discovering the right devices and connecting them is extremely …
Distributed offloading for cooperative intelligent transportation under heterogeneous networks
S Xia, Z Yao, G Wu, Y Li - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
With the rapid advancement of the Internet of Vehicles and artificial intelligence (AI)
technologies, the cooperative intelligent transportation system (C-ITS) has drawn great …
technologies, the cooperative intelligent transportation system (C-ITS) has drawn great …
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 …
Energy efficient resource management in SWIPT enabled heterogeneous networks with NOMA
H Zhang, M Feng, K Long… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) in heterogeneous network (HetNet) is a very
promising scheme to meet the exponential growth of mobile data expected in the coming …
promising scheme to meet the exponential growth of mobile data expected in the coming …