Yuli Fu

TL;DR: A low-complexity iterative algorithm is proposed to decompose the original problem into four sub-problems in order to optimize the variables sequentially, and reformulated as a single-variable optimization problem where charging time is the optimization variable, and can be solved using the standard convex optimization techniques.

TL;DR: In this article, a UAV-aided mmWave NOMA system is considered, where a single UAV serves as a flying base station (BS) to provide wireless access services to a set of IoT devices in different clusters.

TL;DR: An emergency communications framework of NOMA-based UAV-aided networks is established, where the disasters scenarios can be divided into three broad categories that have named emergency areas, wide areas and dense areas and a joint UAV deployment and resource allocation scheme is developed to extend the UAV coverage for IoT devices in wide areas.

TL;DR: This paper proposes some greedy type algorithms that exploit the subspace information of the redundancy blocks to solve the redundant blocks problem and presents the exact recovery conditions of these algorithms via block restricted isometry property (RIP).

TL;DR: Numerical results show that the vehicle using the proposed scheme can achieve lower energy consumption, comparing with both direct transmission scheme and equal switching time scheme.