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Task Offloading and Trajectory Control for UAV-Assisted Mobile …
Abstract: Mobile Edge Computing (MEC) has been widely employed to support various Internet of Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and flexibility of Unmanned Aerial Vehicle (UAV), one of MEC primary functions is employing UAVs equipped with MEC servers to provide computation supports for the …
Performance Analysis of Aerial RIS Auxiliary mmWave Mobile ...
In this letter, we develop a novel channel model for UAV-mounted RIS auxiliary millimeter wave (mmWave) mobile systems in the presence of UAV attitude fluctuation. Based on the proposed channel model, the closed-form expression for the signal-to-noise ratio (SNR) in terms of UAV attitude fluctuation is derived. ...
Scheduling of graph neural network and Markov based UAV mobile …
The incorporation of UAVs in mobile edge computing (MEC) systems has proven to be a viable method for improving system throughput and decreasing computing latency. In pursuit of enhancing the quality of service (QoS) for users, we propose a …
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning …
Unmanned Aerial vehicles (UAVs) are widely used as network processors in mobile networks, but more recently, UAVs have been used in Mobile Edge Computing as mobile servers. However, there are significant challenges to use UAVs in complex environments with obstacles and cooperation between UAVs.
jiushuokj/uav_mobile_app
Andriod APP, based on DJI mobile SDK, for M210 M300. It sends fly state and video of UAV to GCS by MQTT, and receive cmd from GCS - jiushuokj/uav_mobile_app
Physical Layer Security Communication of Cognitive UAV Mobile …
This paper optimizes the flight trajectory and transmission power of the UAV relay to maximize the security rate and shows that the algorithm can effectively improve the average security rate of the secondary system and successfully optimize the U drone trajectory. We consider that in order to improve the utilization rate of spectrum resources and the …
Power Grid Demand and Supply Interaction Oriented UAV-Assisted Mobile ...
The dramatic integration of vast quantities of clean energy causes intense impact on power grid demand and supply balance. Due to the randomness and mass of demand and supply tasks along with the diversity of task requirements, existing data interaction methods have difficulty supporting the normal operation of power grid demand and supply. Aiming at …
The UAV-enabled mobile relaying system model.
UAV mobile relaying wireless communication system model as shown in Figure 1 is considered in this work. There are four single-antenna nodes in the model: a single source (S), a single destination ...
Heterogeneous UAVs assisted mobile edge computing for energy ...
In this paper, a heterogeneous UAVs assisted MEC system was proposed, and with the goal of minimization the edge side energy consumption, a parallel processing was involved to …
System model for UAVs serving static and mobile ground …
In this letter, we study the energy efficiency (EE) optimization of unmanned aerial vehicles (UAVs) providing wireless coverage to static and mobile ground users. Recent multi-agent reinforcement...
UAV-Assisted Mobile Crowdsensing Systems Empowered by …
Mobile crowdsensing (MCS) and wireless power transfer (WPT) are two promising paradigms to enhance sensing coverage and prolong the operational time of users. However, current research on the MCS and the unmanned aerial vehicle (UAV)-enabled WPT faces two challenges, namely, neglecting the impact of the computing capabilities of …
UAV-Assisted Mobile Edge Computing Task Offloading …
This paper aims to investigate a UAV-assisted Mobile Edge Computing (MEC) system in dynamic scenarios with stochastic computing tasks. Our goal is to minimize the total …
Energy Optimization for Cellular-Connected Multi …
UAV energy consumption minimization problem based on One-by-One scheme, we decompose the original problem into two subproblems, and develop an efficient iterative …
Resource allocation for multi‐UAV‐assisted mobile edge …
This paper studies a multi‐unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system, where multiple UAVs equipped with MEC server are deployed to provide computing offloading services for ground users with limited local computing resources. Specifically, each user divides its computing tasks into two parts: one part is ...
VR-Based Immersive Service Management in B5G Mobile Systems: A UAV ...
VR-Based Immersive Service Management in B5G Mobile Systems: A UAV Command and Control Use Case Abstract: The management of remote services, such as remote surgery, remote sensing, or remote driving, has become increasingly important, especially with the emerging 5G and Beyond 5G technologies. However, the strict network requirements of …
UAV-Mounted Mobile Base Station Placement via Sparse Recovery
Abstract: In order to deploy minimum number of unmanned aerial vehicle (UAV)-mounted mobile base stations (MBSs) to service all given ground terminals, this paper proposes an MBS placement based on sparse recovery (MBS-PBSR) algorithm. By exploiting the sparsity inherent in the differences between any two dedicated MBSs, the problem of UAV …
Multi-UAV Mobile Edge Computing and Path Planning Platform …
We introduce a new multi-UAV Mobile Edge Computing platform, which aims to provide better Quality-of-Service and path planning based on reinforcement learning to address these issues. The contributions of our work include 1) optimizing the quality of service for mobile edge computing and path planning in the same reinforcement learning ...
MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle
The design of a system to emulate a flying, dexterous mobile manipulator for mobile manipulation by an unmanned aerial vehicle with dexterous arms and end effectors is described. Given significant mobility advantages, UAVs have access to many locations that would be impossible for an unmanned ground vehicle to reach, but UAV research has …
Distributed User Association and Computation Offloading in UAV …
Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC) systems have emerged as promising solutions for enhancing the computational capabilities and reducing latency in next-generation wireless networks. However, the finite energy capacity of UAVs presents a significant challenge. In this study, we formulate a joint user association, …
Mobile Unmanned Aerial Vehicles (UAVs) for Energy …
In this paper, the efficient deployment and mobility of multiple unmanned aerial vehicles (UAVs), used as aerial base stations to collect data from ground Internet of Things (IoT) …
Cooperative Knowledge Distillation Based Tiny DNN for UAV …
Unmanned aerial vehicles (UAVs) can be deployed in the areas where traditional network infrastructure is insufficient or absent because of flexibility and collaboration. The deployment of edge intelligence on UAVs in UAV-assisted mobile edge networks significantly enhance data processing efficiency, which is a critical factor for applications requiring delay …
Intelligent Task Offloading and Energy Allocation in the UAV …
The arrival of big data and the Internet of Things (IoT) era greatly promotes innovative in-network computing techniques, where the edge-cloud continuum becomes a feasible paradigm in handling multi-dimensional resources such as computing, storage, and communication. In this article, an energy constrained unmanned aerial vehicle (UAV) …
Contract-Matching Incentive Mechanism for UAV-Assisted Mobile …
In the unmanned aerial vehicle (UAV) assisted edge computing networks, the UAVs act as mobile edge nodes to provide flexible communication and computation services to user equipment (UE). To enable efficient resource trading between the UAV and UE, it is of paramount importance to design an incentive mechanism that compensates for the costs …
MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle
Given significant mobility advantages, UAVs have access to many locations that would be impossible for an unmanned ground vehicle to reach, but UAV research has historically focused on avoiding interactions with the environment. Recent advances in UAV ...
Effect of UAV Flight Characteristics to Mobile Network Quality for UAV ...
Abstract: Beyond Visual Line of Sight (BVLOS) operations are crucial for enabling the drone industry''s upcoming phase of UAV commercial acceleration. One of requirements to support BVLOS operations in UAV is mobile network with proper connectivity. In this study, the effect of UAV flight characteristic (altitude, attitude, and speed) to mobile network quality …
Throughput Maximization of Mixed FSO/RF UAV-Aided Mobile …
In this paper, we investigate a mobile relaying system assisted by an unmanned aerial vehicle (UAV) with a finite size of the buffer. Under the buffer size limit and delay constraints at the UAV relay, we consider a dual-hop mixed free-space optical/radio frequency (FSO/RF) relaying system (i.e., the source-to-relay and relay-to-destination links employ …
Massive-MIMO Based Statistical QoS Provisioning for mURLLC Over 6G UAV Mobile …
Massive-MIMO Based Statistical QoS Provisioning for mURLLC Over 6G UAV Mobile Wireless Networks Pages 1850–1855 Previous Chapter Next Chapter ABSTRACT The sixth generation (6G) wireless networks are required to provide the massive ultra-reliable ...
Task Location Distribution Based Genetic Algorithm for UAV Mobile …
UAV mobile crowd sensing problem and can provide ideas to similar problems. Keywords: UAV · Genetic Algorithm · Task Assignment · Mobile Crowed Sensing · Power Limit 1 Introduction Mobile crowd sensing (MSC) is a new way to realize sensing coverage
[2010.01236] Placement of UAV-Mounted Mobile Base Station …
Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV -Mounted Mobile Base Stations placement is a challenging problem to achieve high performance. Different approaches have been proposed; however, user required traffic is …
Multi-UAV Mobile Edge Computing and Path Planning Platform …
Unmanned Aerial vehicles (UAVs) are widely used as network processors in mobile networks, but more recently, UAVs have been used in Mobile Edge Computing as mobile servers. However, there are significant challenges to use UAVs in complex environments with obstacles and cooperation between UAVs.
Cell Free Mobile Communication in UAV System as Mobile …
The results show that cell-free UAV has a very big opportunity to be developed because it has advantages in coverage area and communication system flexibility. Cell-free UAV systems able to apply for 5G and beyond communications system and can be used to build private network for dedicated smart system infrastructure.
AoI-Driven Statistical Delay and Error-Rate Bounded QoS Provisioning for mURLLC Over UAV-Multimedia 6G Mobile …
Massive ultra-reliable and low latency communications (mURLLC) has emerged as new and dominating 6G-standard services to support statistical quality-of-services (QoS) provisioning for delay-sensitive data transmissions. To measure the freshness of updated information, age of information (AoI) has recently formed as the new dimension of QoS metric. Since …
Energy efficient for UAV-enabled mobile edge computing …
An energy efficiency optimization task offloading algorithm for the UAV-based MEC network is designed utilizing the optimal UAV hovering height and more accurate data size of …
Energy-Efficient Task Migration and Path Planning in UAV-Enabled Mobile ...
An energy-efficient dynamic task migration algorithm (EDTM) that minimizes the total energy consumption of the system while ensuring UAVs system load balance and the performance of the proposed EDTM is superior to the benchmark schemes. With the rapid development of unmanned aerial vehicles (UAVs) technology and the advent of the 5G era, the role of …
Energy-Efficient UAV-Assisted Mobile Edge Computing: …
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 …
IRS-assisted energy efficient communication for UAV mobile edge ...
This scheme is based on the soft actor critic (SAC) algorithm [24] of an improved auxiliary UAV mobile edge computing system, aiming to implement a soft behavior evaluation SAC based energy consumption minimization algorithm (SAC-Enc). In this scheme, the markov decision process (MDP) tuple is used as the training sample to optimize the energy ...
UAV Mobile Ground Target Pursuit Algorithm | Semantic Scholar
A comprehensive ground target pursuit algorithm for fixed-wing unmanned aerial vehicles (UAVs) based on the division of two kinds of possible path patterns, which generates waypoints step by step and steers the UAV to the latest waypoint. In this paper, we propose a comprehensive ground target pursuit algorithm for fixed-wing unmanned aerial vehicles …