Nothing Special   »   [go: up one dir, main page]

Bor-Yaliniz et al., 2017 - Google Patents

Environment-aware drone-base-station placements in modern metropolitans

Bor-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 …
Continue reading at www.sce.carleton.ca (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/025Mobile 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimizing operational condition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-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