2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) 2017
DOI: 10.1109/vtcfall.2017.8287974
|View full text |Cite
|
Sign up to set email alerts
|

Resource Allocation for 3D Drone Networks Sharing Spectrum Bands

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 13 publications
(10 citation statements)
references
References 16 publications
0
10
0
Order By: Relevance
“…A complex-shaped PER is an advantage of the proposed framework compared to a conventional upper-hemisphere PER [6], [7] where the radius of the PER is the only parameter that must be determined based on the mainlobe gain. That is, the radius of a conventional upper-hemisphere PER can be calculated as the maximum distance between the origin and grid cells where the ATP is zero.…”
Section: B Numerical Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…A complex-shaped PER is an advantage of the proposed framework compared to a conventional upper-hemisphere PER [6], [7] where the radius of the PER is the only parameter that must be determined based on the mainlobe gain. That is, the radius of a conventional upper-hemisphere PER can be calculated as the maximum distance between the origin and grid cells where the ATP is zero.…”
Section: B Numerical Resultsmentioning
confidence: 99%
“…They indicated that a 3D PER is determined as an upperhemisphere or upper-hemisphere segment based on the radius of the PER and the height limit. In [7], the authors proposed the use of a cumulant matching approach to optimize the radius of an upper-hemisphere PER in 3D UAV networks. However, it is necessary to design a practical PER based on the primary user's antenna pattern to maximize the number of transmitting UAVs.…”
Section: Introductionmentioning
confidence: 99%
“…A path planning algorithm called Improved Ant Colony Optimization (IACO) was used for a group of mobile robots [78]. Yoshikawa et al [20] focused on another aspect of resource allocation, identifying the best frequency band for individual drones so as to enable the maximum number of drones to use the using main communication band while simultaneously avoiding interference. Once the power outage probability of a radar and a drone was derived, Yang further optimized the maximum ratio of drones using the main band relative to the total number of drones by increasing the size of primary exclusive region.…”
Section: Networking Technologies For Uav Communication Systemmentioning
confidence: 99%
“…Data transmission is a crucial aspect of any network, and appropriate routing protocol should be used accordingly. For a single UAV or a swarm of UAVs, networking is an important feature [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Drones have been incorporated into the wireless sensor network, vehicular communication system, and mobile communication network to extend their applications along with the use of internet of things.…”
Section: Introductionmentioning
confidence: 99%
“…Particularly, multiple FMCW ranging systems employed by different users in a shared environment can generate cross-talk or mutual interference that degrades sensing abilities. This issue is common in many realistic scenarios involving vehicles [6][7][8][9], mobile robots [23,24], and drones [25][26][27]. One successful mitigation technique requires user-specific [15], entropic (noisy) waveforms for spread spectrum techniques such as those used in sonar [10,11] and radar [12][13][14]28] systems.…”
Section: Introductionmentioning
confidence: 99%