Hong Jiang

TL;DR: In this paper , a comprehensive survey of the Aerial Edge Computing (AEC) technology is presented, which includes the satellite, UAVs and ground terminals, and summarizes recent studies in terms of AEC performance metrics that include energy efficiency, latency and operation cost to address challenges in AEC.

TL;DR: This article considers a RF-CRN in which SUs first harvest energy from RF signals originating from a primary network and then utilize the available energy in the battery to transmit data, and proposes a resource allocation scheme referred to as approximate convex policy for co-frequency interference (CO-ACP).

TL;DR: Genetic algorithm (GA) is good at multi-objective optimization, while RBF neural network has a strong learning ability, and this paper effectively combines them and proposes a design of cognitive engine based on GA and RBf neural network to adapt the dynamical wireless environment and demands.

TL;DR: This paper designs a channel selection scheme for sensing according to the available probabilities of multi channels and formulates the EE problem as a concave/ concave fractional program and results show that the proposed scheme can achieve effective EE.