| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 84 === Recently, a wireless ATM network is proposedwhich integrate
different services to provide person-to-person communicationsin
the same air interface and using ATM network as its backbone.For
a wireless ATM network, in this paper we study the design of its
buffermanagement and capacity assignment strategy.We first
propose a fixed optimal queue-length-threshold (QLT) scheduling
policyfor the buffer management and capacity assignment. And we
show this QLT policy still outscore other policies suchas
priority policy in a wireless ATM environment.Owing to the
traffic fluctuation in a wireless ATM network system
providingmultimedia services, the ATM network had better possess
an intelligentQLT controller that can adaptively adjust
parameters of QLT.Recently, fuzzy logic system have been widely
applied to deal with controlrelated problems for ATM networks.
Neural networks, like fuzzy logic controlsystems, have been
successfully applied to cope with traffic control related
problems. Different from the fixed QLT policy we mentioned
above,we propose a neural fuzzy QLT (NFQLT) which can adjust the
trafficparameters adaptively according to the status of voice
and data traffic.The results show that applying the adaptive
NFQLT can decrease thecombined total lost probability than the
fixed QLT and other policies.
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