  Energy efficiency and quality of service (QoS) guarantees are the key design
goals for the 5G wireless communication systems. In this context, we discuss a
multiuser scheduling scheme over fading channels for loss tolerant
applications. The loss tolerance of the application is characterized in terms
of different parameters that contribute to quality of experience for the
application. The mobile users are scheduled opportunistically such that a
minimum QoS is guaranteed. We propose an opportunistic scheduling scheme and
address the cross layer design framework when channel state information is not
perfectly available at the transmitter and the receiver. We characterize the
system energy as a function of different QoS and channel state estimation error
parameters. The optimization problem is formulated using Markov chain framework
and solved using stochastic optimization techniques. The results demonstrate
that the parameters characterizing the packet loss are tightly coupled and
relaxation of one parameter does not benefit the system much if the other
constraints are tight. We evaluate the energy-performance trade-off numerically
and show the effect of channel uncertainty on the packet scheduler design.
