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Summary: 106 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 53, NO. 1, JANUARY 2004
QoS Provisioning Dynamic Connection-Admission
Control for Multimedia Wireless Networks
Using a Hopfield Neural Network
Chang Wook Ahn, Student Member, IEEE, and R. S. Ramakrishna, Senior Member, IEEE
Abstract--This paper presents a quality-of-service (QoS) pro-
visioning dynamic connection-admission control (CAC) algorithm
for multimedia wireless networks. A multimedia connection con-
sists of several substreams (i.e., service classes), each of which pre-
sets a range of feasible QoS levels (e.g., data rates). The proposed
algorithm is mainly devoted to finding the best possible QoS levels
for all the connections (i.e., QoS vector) that maximize resource
utilization by fairly distributing wireless resources among the con-
nections while maximizing the statistical multiplexing gain (i.e.,
minimizing the blocking and dropping probabilities). In the case of
congestion (overload), the algorithm uniformly degrades the QoS
levels of the existing connections (but only slightly) in order to spare
some resources for serving new or handoff connections, thereby
naturally minimizing the blocking and dropping probabilities (it
amounts to maximizing the statistical multiplexing gain). The al-
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