This paper deals with joint optimization of rate and power for NOMA-based layer-aware multicasting systems. We encode the source information into multiple layers with successive enhancement, and fix the ratios between the rates of any two layers. Superposition coding (SC) and successive interference cancelation (SIC) are applied to approach the capacity of broadcast channels. Based on channel statistics known at the transmitter, we adapt the integral transmission rate and the power allocation in order to maximize the expected user satisfaction defined by a utility function. We solve the problem by splitting it into several typical cases, each of which eliminates a different number of upper layers. We show the strong duality of each case and propose a two-dimensional bisection search algorithm to solve the dual problem. Simulation and discussion are under both i.i.d. and non- i.i.d. scenarios.
Power Allocation and Rate Adaption for NOMA-Based Layer-Aware Multicasting Systems
2018-06-01
181330 byte
Conference paper
Electronic Resource
English