There is a growing interest of wireless
operators to migrate their existing 3G networks to
different 4G technologies such as Wi MAX and L TE. In
this heterogeneous environment of wireless networks
and architectures, one of the major concerns is how to
allocate network resources efficiently to diverse traffic
classes with different QoS constraints. Further it has
been convincingly demonstrated through numerous
high quality studies that multimedia traffic found in
modern wireless networks exhibits Long-Range
Dependence (LRD) and self-similarity, a phenomenon
which cant' be captured by traditional traffic modeling
based on simplistic Poisson model.