A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …
popularity. While there exist lite versions of the Metaverse today, they are still far from …
Evolution of non-terrestrial networks from 5G to 6G: A survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …
recent technological advancements and manufacturing cost reduction opened up myriad …
Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …
from 2020 and more capabilities are in the process of being standardized, such as mass …
Multi-agent reinforcement learning based resource management in MEC-and UAV-assisted vehicular networks
In this paper, we investigate multi-dimensional resource management for unmanned aerial
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …
Blockchain for Internet of Things: A survey
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with
data-driven decision-making. However, intrinsic features of IoT result in a number of …
data-driven decision-making. However, intrinsic features of IoT result in a number of …
UAV communications for 5G and beyond: Recent advances and future trends
Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
Space/aerial-assisted computing offloading for IoT applications: A learning-based approach
Internet of Things (IoT) computing offloading is a challenging issue, especially in remote
areas where common edge/cloud infrastructure is unavailable. In this paper, we present a …
areas where common edge/cloud infrastructure is unavailable. In this paper, we present a …
Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …
(MEC) with the objective to optimize computation offloading with minimum UAV energy …
UAV assistance paradigm: State-of-the-art in applications and challenges
Abstract Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to
be used in industries and various sectors of human life to provide a wide range of …
be used in industries and various sectors of human life to provide a wide range of …
Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN
In this article, we investigate a computing task scheduling problem in space-air-ground
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …