Bor-Yaliniz et al., 2017 - Google Patents
Environment-aware drone-base-station placements in modern metropolitansBor-Yaliniz et al., 2017
View PDF- Document ID
- 2468547003895700566
- Author
- Bor-Yaliniz I
- Szyszkowicz S
- Yanikomeroglu H
- Publication year
- Publication venue
- IEEE Wireless Communications Letters
External Links
Snippet
Unmanned aerial vehicles, ie, drones, have recently caught attention for providing on- demand capacity to wireless networks as drone-base-stations (drone-BSs). Many studies assume simplified channel models based on average characteristics of the environment to …
- 230000000694 effects 0 description 5
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
- H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
- H04W4/025—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using location based information parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimizing operational condition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bor-Yaliniz et al. | Environment-aware drone-base-station placements in modern metropolitans | |
Holis et al. | Elevation dependent shadowing model for mobile communications via high altitude platforms in built-up areas | |
Al-Hourani et al. | Modeling air-to-ground path loss for low altitude platforms in urban environments | |
Karttunen et al. | Spatially consistent street-by-street path loss model for 28-GHz channels in micro cell urban environments | |
CN105163337B (en) | A method of the mobile network data geography mapping based on coverage prediction emulation | |
Xie et al. | Connectivity-aware 3D UAV path design with deep reinforcement learning | |
US9426044B2 (en) | Radio access network geographic information system with multiple format | |
CN103347261B (en) | Based on network-building method and the device of CDMA network data determination deployment of LTE network | |
CN105430664B (en) | It is a kind of to be fitted the method and apparatus that path loss is propagated in prediction based on classification | |
Graham et al. | Mobile radio network design in the VHF and UHF bands: a practical approach | |
Zhou et al. | Propagation characteristics of air-to-air channels in urban environments | |
Filiposka et al. | Terrain-aware three-dimensional radio-propagation model extension for NS-2 | |
Sae et al. | Coverage aspects of temporary LAP network | |
Hsieh et al. | Propagation model for high altitude platform systems based on ray tracing simulation | |
Navarro et al. | Applicability of game engine for ray Tracing Techniques in a Complex Urban Environment | |
Pilosu et al. | RADII: A computationally affordable method to summarize urban ray-tracing data for VANETs | |
Li et al. | Prediction of radio wave propagation loss in ultra-rugged terrain areas | |
Zhang et al. | Large-scale cellular coverage simulation and analyses for follow-me UAV data relay | |
Hammouti et al. | Air-to-ground channel modeling for UAV communications using 3D building footprints | |
Ahmed et al. | 3D simulation model for IoD-to-vehicles communication in IoD-assisted VANET | |
Navarro et al. | Using game engines for wideband channel estimation parameters in Andean cities | |
Calin et al. | On the feasibility of outdoor-to-indoor LTE small cell deployments: Field trial experiments and performance prediction | |
Arpaio et al. | Narrowband characteristics of air-to-ground propagation for UAV assisted networks in urban environments by means of fast ray-launching simulations | |
Dajab et al. | Consideration Of Propagation Loss Models for GSM during Harmattan in N’djamena (Chad) | |
Supramongkonset et al. | Empirical Path Loss Channel Characterization Based on Air‐to‐Air Ground Reflection Channel Modeling for UAV‐Enabled Wireless Communications |