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Characterisation of mobile velocity in GSM using a simple feed-forward neural network

Characterisation of mobile velocity in GSM using a simple feed-forward neural network

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A neural network based approach for the characterisation of mobile velocity in GSM is investigated, using signal strength measurement reports of mobiles in active mode. Simulation results are very encouraging. The proposed method is computationaly simple and yields consistent results for a wide range of mobile radio propagation parameters.

Inspec keywords: telecommunication computing; feedforward neural nets; cellular radio

Other keywords: mobile velocity characterisation; active mode; GSM; mobile radio propagation; signal strength measurement; feedforward neural network

Subjects: Mobile radio systems; Neural computing techniques; Communications computing

References

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      • P.G. Balis , O.R. Hinton . UTD-based model for prediction of propagation pathloss and shadowing variability in urban mobile environments. IEE Proc. , 5 , 367 - 371
    2. 2)
      • W.C. Jakes . (1994) Microwave mobile communications.
    3. 3)
      • M. Hellebrandt , R. Mathar , M. Scheibenbogen . Estimating position and velocityof mobiles in a cellular radio network. IEEE Trans. , 1 , 65 - 71
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19981330
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