Unmanned aerial vehicle (UAV) communication is expected to play an important role in many applications, including emergency services, remote surveillance and even daily logistics, thanks to its great advantages such as flexible deployment and mobility support. In this paper, we propose a multi-UAV-aided communication scheme supported by laser power transfer (LPT), where the quality-of-experience (QoE) requirements of user equipment (UE) is considered. Specifically, to improve the sum QoE, we first maximize the sum of average data rates (ADRs) of all UEs through an alternating optimization of UAVs' positions, UE-network association and LPT station (LPTS)-network association. Then, we devise an advanced Gale-Shapley rematching (GSRM) scheme to address the intractable 0-1 programming problem in UE/LPTS-network association. Moreover, an L2-norm polynomial (L2NP) programming method is designed to transform the L2NP of the LPT-based UAV positioning problem into a convex form. Finally, a redundant resource reallocation (RRR) algorithm is designed to recycle and reallocate the excessive transmit power and backhaul capacity of both the base station (BS) and the UAVs, to further maximize the number of UEs satisfying the QoE requirements. Simulation results show that the proposed UAV-aided communication scheme can help more UEs achieve their QoE requirements at a reduced power consumption compared with existing solutions.

In this work, we study a low altitude platform (LAP)-aided dual-hop relaying system combined with non-orthogonal multiple access (NOMA) and free-space optical (FSO) communication technology. More specifically, we assume that a LAP is served as a relay with decode-and-forward (DF) protocol, where the link between the source and the relay is assumed to adopt the FSO scheme, and the links between the relay and the two NOMA users are supposed to be radio frequency (RF). Based on this system model, we analyze the outage probability. To obtain the diversity order information, we also develop the asymptotic analysis. Our results show that the altitude of the LAP affects the system performance significantly. In addition, the system's performance is dependent on the parameters of the FSO channel.

Stroke depression is most common in post-stroke affective disorder, which can affect the rehabilitation effect and recovery of the body function. Affect cognitive function, prolong the average hospitalization day, increase the risk of stroke recurrence, and even increase mortality. This study uses the association rules mining method and the data from the electronic medical records of the department of encephalopathy of Wuyi Traditional Chinese Medical Hospital of Jiangmen to find out the relation between stroke depression drugs.

In this paper, we analyze the performance of a NOMA-based cooperative relaying network with the Nth best relay selection scheme over Rayleigh fading channels. In addition, the simultaneous wireless information and power transfer (SWIPT) technique is applied to prolong the work time of the relay. Some closed-form expressions as well as the asymptotic analysis for the outage probability are derived. These analysis reveals that the diversity order achieved by the Nth best relay selection scheme is M -N +1, where M is the number of all the relays and N is the order number. Monte Carlo simulation results verify our theoretical analysis and demonstrate the impact of the number of the relays, the order number, and the power-splitting ratio on the outage performance of our considered system.