Chance Quality-of-Service Driven Resource Allocation Scheme in Multicast Networks

In view of the unavoidable existence of CSI error in real networks, this paper adopts a method of guaranteeing the quality-of-service (QoS) of users statistically. Aiming at minimizing the total power consumption in the multicast network scenario, we establish the chance QoS constraints based resource allocation problem in this paper. The effective bandwidth (EB) and effective capacity (EC) theory is used to deal with the chance constraint, with the help of probability theory, we transform the chance delay-QoS constraint into the lower-bounded EC constraint. Thus, the original resource allocation problem can be deduced as the mixed-integer non-linear programming (MINLP) tacking the joint sub-channel and the power allocation problem. Adopting the Lagrange dual method, the optimal solution is approached. Simulation results reinforce the effectiveness of the proposed schemes and show that the proposed algorithm achieves better energy saving performance than that of traditional unicast networks.