Wireless Relay Communications with Unmanned Aerial Vehicles: Performance and Optimization
By Pengcheng Zhan, K. Yu, A. L. Swindlehurst. IEEE Transactions on Aerospace and Electronic Systems, 2011
379 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b1ca425cab859aa04259f0a093b7c948abd0e630
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Rui Zhang
- Yong Zeng
- Qingqing Wu
- Merouane Debbah
- Walid Saad
- Medhi Bennis
- Shuowen Zhang
- Mohammad Mozaffari
In Computer Networks and Communications
- Rui Zhang
- Yong Zeng
- Qingqing Wu
- Medhi Bennis
- Merouane Debbah
- Walid Saad
- Mohammad Mozaffari
- Shuowen Zhang
In Electrical and Electronic Engineering
- Rui Zhang
- Yong Zeng
- Qingqing Wu
- Merouane Debbah
- Shuowen Zhang
- Medhi Bennis
- Walid Saad
- Mohammad Mozaffari
Citations in the corpus
- Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs (2015, background): “T HE use of unmanned aerial vehicles (UAVs) as flying base stations that can boost the capacity and coverage of existing wireless networks has recently attracted significant attention [1] and [2].”
- Throughput Maximization for UAV-Enabled Mobile Relaying Systems (2016, methodology): “Note that while node mobility has been well studied for upper layer designs in communication networks [15]–[17], its exploitation for more efficient physical layer designs has only received limited attention recently [18]–[25].”
- Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks (2019, background): “Due to the above distinctions, UAVs can be utilized in many applications, such as relaying [6]–[8],”
- UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells (2018, background): “Furthermore, there have been many other wireless applications for UAVs, such as mobile relays [5], [6], mobile computing cloudlets [7], etc.”
- Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, background): “In [48], multiple UAVs were deployed as relays between multiple ground terminals and a network BS.”
- Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning (2016, background): “UAV as a Moving Cloudlet As briefly reviewed above, most prior works on the deployment of UAVs in communication system assume their use either as moving relays [8]–[11] or as flying base stations [12]–[18].”
- Downlink Coverage Analysis for a Finite 3-D Wireless Network of Unmanned Aerial Vehicles (2017, background): “The performance of UAVs acting as relays between terrestrial users and base stations was investigated in [12].”
- Energy-Efficient UAV Communication With Trajectory Optimization (2016, background): “In [11] and [23], by assuming that the UAV flies with a constant speed, the UAV’s heading (or flying direction) is optimized for UAV-assisted wireless relaying and uplink communications, respectively.”
- Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey (2018, background): “[316] E, Control, EmpCS, Exp several drones minimum turning radius, communication constraints (eg, limited communication range, signal strength depends on distance) general”
- Efficient 3-D placement of an aerial base station in next generation cellular networks (2016, background): “As a result, Rician [2], large scale Rayleigh [3], and free space fading [4] models are widely utilized in the literature for air-to-ground channels.”
- A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “2) State of the Art: Prior to our seminal work in this area in [10], most of the existing works focused on performance analysis of UAVs acting as relays, or in ad-hoc networks [136], [140]–[142].”
- Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems (2019, methodology): “In mobile UAV-networks, the high mobility of UAVs can be fully exploited and the communication performance is improved based on user scheduling and UAV trajectory design [24]–[26], [28].”
- Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks (2017, background): “Meanwhile, extensive research efforts from the academia have also been devoted to employing UAVs as different types of wireless communication platforms [9], such as aerial mobile base stations (BSs) [10]–[14], mobile relays [15], [16], and flying computing cloudlets [17], [18].”
- Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, background): “For example, in [124] and [125], by assuming that the UAV flies with a constant speed, the UAV’s heading (or flying direction) was optimized for UAV-based wireless relaying and uplink communications, respectively.”