IEEE: Predicting QoS Characteristics on Wireless Networks

[ashwin kumar]

Abstract—Nowadays, wireless network traffic exhibits
peculiar and unpredictable behaviors that can be attributed
to the combination of different factors: the varying number
of users, the capacity of the network access points, network
traffic matrices, users’ mobility, background traffic, diversity
of applications, services and user behaviors. This scenario
creates an increasing need for tools that can cope with
the continuous appearance of new applications and QoS
requirements and is able to aid in the global management
tasks of wireless IP networks. This paper proposes a novel
modeling approach for wireless networks that is able to
predict network Quality of Service (QoS) parameters, based
only on measured or synthetically generated traffic, without
requiring any information on the network structure or on the
mobility patterns of network users. The solution to a specific
modeling problem, using the proposed framework, is a two-step
procedure: in the first step, the network model is constructed
from a set of (past) values of the inbound/outbound traffic
at the various network access points and a set of values of
corresponding network QoS metrics; in the second step, the
previously constructed model is used to predict (future) values
of the QoS metrics based only on new inbound/outbound traffic
values. This framework does not impose any restrictions to
the type of metrics that are selected to characterize QoS. The
results obtained show that this approach is able to achieve
excellent performance for QoS prediction at multiple wireless
access points, even when there are significant changes in the
number of network users.

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Ashwin,
9742738409