[go: up one dir, main page]

Martin et al., 2015 - Google Patents

Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments

Martin et al., 2015

View PDF
Document ID
6175065668199978251
Author
Martin T
Chang K
Publication year
Publication venue
2015 18th International Conference on Information Fusion (Fusion)

External Links

Snippet

Advancements and proliferation of wireless devices and capabilities have expanded the need for spectrum situational awareness in support of mobile applications. Accurate representations of spectrum usage parameters, however, are limited by the ability to attain …
Continue reading at c4i.gmu.edu (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • 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
    • G01S5/0205Details
    • 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W52/00Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC [Transmission power control]
    • H04W52/18TPC being performed according to specific parameters

Similar Documents

Publication Publication Date Title
Yilmaz et al. Location estimation‐based radio environment map construction in fading channels
US8064840B2 (en) Method and system for determining spectrum availability within a network
Cavalcanti et al. A hybrid path loss prediction model based on artificial neural networks using empirical models for LTE and LTE-A at 800 MHz and 2600 MHz
Gustafson et al. Statistical modeling and estimation of censored pathloss data
Riahi Manesh et al. A Bayesian approach to estimate and model SINR in wireless networks
Wen et al. Asymptotic analysis of interference in cognitive radio networks
Fauzi et al. Machine learning-based online coverage estimator (MLOE): Advancing mobile network planning and optimization
Tadik et al. Digital spectrum twins for enhanced spectrum sharing and other radio applications
Gajewski Propagation models in radio environment map design
Martin et al. Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments
Martin et al. A probabilistic situational awareness and reasoning methodology for satellite communications resource management
Tercero et al. Exploiting temporal secondary access opportunities in radar spectrum
Katagiri et al. Highly accurate prediction of radio propagation using model classifier
Yilmaz et al. Sensor placement algorithm for radio environment map construction in cognitive radio networks
Augusto et al. On geostatistical methods for radio environment maps generation under location uncertainty
Ezzati et al. Optimised sensor network for transmitter localisation and radio environment mapping
Chauhan et al. Modelling and performance analysis of energy detector over Weibull–Shadowed fading channel with application to cooperative sensing
Ameur et al. Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems
Suzuki et al. Power estimation by power contour to monitor sharable frequency with mobile phone sensors
Kusaladharma et al. A multiple-ring model for cognitive radio aggregate interference
Chen et al. Measurement‐based LoS/NLoS channel modeling for hot‐spot urban scenarios in UMTS networks
Bruno et al. Indoor Positioning in Wireless Local Area Networks with Online Path‐Loss Parameter Estimation
Kang et al. Comparatative analysis of Energy Detection spectrum sensing of cognitive radio under Wireless Environment using SEAMCAT
Perihanoglu et al. Performance Evaluation of GeoAI-Based Approach for Path Loss Prediction in Cellular Communication Networks
Ermolova Outage probability analysis in finite wireless networks operating in LOS environment