Yijin Pan

TL;DR: Numerical results validate the performance gain by the proposed NOMA compared with conventional schemes and rigorously prove the optimal user decoding order, and show that the sum rate maximization problem is convex, which guarantees the globally optimal solution.

TL;DR: In this paper, the authors studied energy efficient resource allocation for a machine-to-machine (M2M) enabled cellular network with non-linear energy harvesting, especially focusing on two different multiple access strategies, namely non-orthogonal multiple access (NOMA) and time division multiple access(TDMA), and derived the derived optimal conditions for the transmission power of MTCDs.

TL;DR: This paper transforms the original optimization problem for NOMA to an equivalent problem which can be solved suboptimally via an iterative power control and time allocation algorithm, and shows that it is optimal for each machine type communication device (MTCD) to transmit with the minimum throughput.

TL;DR: Numerical results show that the proposed NOMA-based MEC offloading scheme can significantly reduce the system energy consumption compared with a traditional orthogonal multiple access scheme.

TL;DR: An iteration algorithm based on successive Convex Approximation with the Rate constraint penalty (CAR) is developed to obtain UAV’s trajectory, and the IRS phase shift is formulated as a closed-form expression with introduced pricing factors.