Compressed Sensing Based Power Allocation and User Selection with Adaptive Resource Block Selection for Downlink NOMA Systems

摘要

The application of compressed sensing (CS) theory to nonorthogonalmultiple access (NOMA) systems has been investigated recently.As described in this paper, we propose a quality-of-service (QoS)-aware,low-complexity, CS-based user selection and power allocation scheme withadaptive resource block selection for downlink NOMA systems, where thetolerable interference threshold is designed mathematically to achieve agiven QoS requirement by being relaxed to a constrained l1 norm optimizationproblem. The proposed scheme adopts two adaptive resource block(RB) selection algorithms that assign proper RB to user pairs, i.e. max-minchannel assignment and two-step opportunistic channel assignment. Simulationresults show that the proposed scheme is more effective at improvingthe user rate than other reference schemes while reducing the required complexity.The QoS requirement is approximately satisfied as long as therequired QoS value is feasible.