Since real-time variable bit rate (VBR) traffic is inherently bursty, dynam
ic bandwidth allocation is necessary for ATM streams that carry VER traffic
. In order to provide quality-of-services (QoS) guarantees and to reduce th
e computational complexity, an hybrid of guaranteed and dynamic adaptive al
location scheme requires to be implemented. Typical dynamic allocations to
competing streams are done in the form of linear proportions to the bandwid
th requirements, We show that during temporary link congestion such proport
ional arrangements can give rise to unequal queue growth and, subsequently,
degraded QoS, This is found to be true even for streams that belong to the
same VER class and share identical long term traffic characteristics and Q
oS requirements. In this paper, four allocation algorithms are presented an
d analyzed in terms of their fairness and QoS potential for real-time VER t
raffic, We propose and show that a novel allocation strategy, termed as Min
max, solves the mentioned problem of unfairness within a class. By maintain
ing a fair distribution of buffer length across the streams of a class, the
proposed policy can achieve better and fairer QoS performance compared to
the traditional methods. We present analytical results, proofs and a simula
tion study of the described algorithms, Four allocation policies for handli
ng MPEG VER video streams are simulated in the context of a wireless ATM (W
ATM) medium access control. The results show that in certain scenarios, the
Minmax strategy can reduce losses by an order of magnitude, while decreasi
ng delays substantially.