Neural networks applications for the prediction of propagation path loss in urban environments

IEEE Vehicular Technology Conference

Volumn 1, Issue 53ND, 2001, Pages 387-391

  Popescu, I ^a,b   Nafornita, I ^c   Constantinou, P ^b   Kanatas, A ^b   Moraitis, N ^b  

^a UNIVERSITY OF ORADEA   (Romania)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^c POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONFORMAL MAPPING; ERROR ANALYSIS; FUNCTION EVALUATION; MOBILE RADIO SYSTEMS; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; RADIO TRANSMISSION; REGRESSION ANALYSIS;

PROPAGATION PATH LOSS; ROOT MEAN SQUARE ERROR; SINGLE REGRESSION MODEL; URBAN ENVIRONMENTS;

SIGNAL FILTERING AND PREDICTION;

EID: 0035182872     PISSN: 07400551     EISSN: None     Source Type: Journal    
DOI: 10.1109/VETECS.2001.944870     Document Type: Article

References (11)

1. 170 MHz field strength prediction in urban environments using neural nets
2. Field strength prediction in indoor environments with neural networks
3. Environment-adaptation mobile radio propagation prediction using radial basis function neural networks
4. Urban transmission loss models for mobile radio in the 900- and 1800 MHz bands
5. A theoretical model of UHF propagation in urban environments
6. Analysis of multipath propagation in urban mobile radio environment
7. Empirical formula for propagation loss in land mobile radio services
8. Propagation and coverage prediction for cellular radio systems
9. Comment on diffraction loss of roof-to-street in COST231-Walfish-Ikegami model