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Real-time operational aspects of Hopfield neural network based dynamic channel allocation scheme

Real-time operational aspects of Hopfield neural network based dynamic channel allocation scheme

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Highlighted are operational issues of software-based Hopfield neural network DCA schemes under real-time constraints. In particular, parameter tuning necessitated by rapid convergence of iterative solutions is considered with performance evaluation based on a simulation model.

References

    1. 1)
      • Lazaro, O., Girma, D.: `Quality of service and grade of service optimisation with distributed dynamic channel allocation schemes based on Hopfield neural network algorithms', IEEE VTC 2000 Fall, September 2000, Boston, MA, USA.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
      • S. Abe . Global convergence and suppression of spurious states of Hopfield neural networks. IEEE Trans. Circuits Syst. , 4 , 246 - 257
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