Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
A tutorial on interference exploitation via symbol-level precoding: Overview, state-of-the-art and future directions
Interference is traditionally viewed as a performance limiting factor in wireless
communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of …
communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of …
A survey on 5G millimeter wave communications for UAV-assisted wireless networks
In recent years, unmanned aerial vehicles (UAVs) have received considerable attention from
regulators, industry and research community, due to rapid growth in a broad range of …
regulators, industry and research community, due to rapid growth in a broad range of …
Beamforming technologies for ultra-massive MIMO in terahertz communications
Terahertz (THz) communications with a frequency band 0.1–10 THz are envisioned as a
promising solution to future high-speed wireless communication. Although with tens of …
promising solution to future high-speed wireless communication. Although with tens of …
A survey on resource allocation in vehicular networks
Vehicular networks, an enabling technology for Intelligent Transportation System (ITS),
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …
Rate-splitting for max-min fair multigroup multicast beamforming in overloaded systems
In this paper, we consider the problem of achieving max-min fairness amongst multiple co-
channel multicast groups through transmit beamforming. We explicitly focus on overloaded …
channel multicast groups through transmit beamforming. We explicitly focus on overloaded …
A pragmatic approach to massive MIMO for broadband communication satellites
P Angeletti, R De Gaudenzi - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we analyze the performance of Massive Multiple Input Multiple Output (M-
MIMO) techniques aiming at increasing the throughput of broadband satellites. In particular …
MIMO) techniques aiming at increasing the throughput of broadband satellites. In particular …
Symbol-level and multicast precoding for multiuser multiantenna downlink: A state-of-the-art, classification, and challenges
Precoding has been conventionally considered as an effective means of mitigating or
exploiting the interference in the multiantenna downlink channel, where multiple users are …
exploiting the interference in the multiantenna downlink channel, where multiple users are …
Scheduling algorithms for 5G networks and beyond: Classification and survey
Over the years, several research groups have been developing effective and efficient
scheduling algorithms to enhance the quality of service of mobile communication networks …
scheduling algorithms to enhance the quality of service of mobile communication networks …
Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …