Resource Allocation in NOMA-Enhanced Backscatter Communication Networks for Wireless Powered IoT

This letter considers a non-orthogonal-multiple-access (NOMA)-enhanced bistatic backscatter communication network where multiple backscatter devices (BDs) transmit to a backscatter receiver using a protocol integrating NOMA with dynamic time-division-multiple-access. We maximize the minimum throughput among all BDs by jointly optimizing the BDs' backscatter time and power reflection coefficients, subject to the BDs' harvested energy constraints and other constraints. By applying the block coordinated decent and successive convex optimization techniques, an efficient iterative algorithm is proposed to find a sub-optimal solution to the formulated non-convex problem. Numerical results show that the proposed scheme achieves significant throughput gain compared to the benchmark scheme.