부산대학교 도서관

Optical wireless communication (OWC) stands out as a potential enabling technology poised to drive the rapid deployment of sixth-generation (6G)-based indoor wireless networks. However, one of the major limitations of utilizing laser-based OWC technology in indoor environments is the non-availability of line-of-sight (LoS) connectivity between the communicating devices due to blockages. To tackle the problem of LoS non-availability, unmanned aerial vehicles (UAVs) and optical intelligent reflecting surfaces (OIRS) are exhibited as potential solutions. This article proposes the integration of laser-based OWC technology with an OIRS-assisted UAV to support the quality of service (QoS) requirements for 6G-based indoor wireless networks. Specifically, we develop a joint user selection and mirror element assignment problem to maximize the number of users served subject to QoS and OWC-related design constraints. This joint optimization problem was an NP-hard binary non-linear problem, which can be optimally solved in polynomial time using sequential-fixing linear programming. To realize our optimization in a distributed manner, we propose a batch-based user-selection and mirror-element assignment (BMEA) scheme that performs simultaneous mirror-element assignment decisions for several contending users. The obtained results show that the proposed scheme significantly outperforms existing reference schemes in terms of spectrum efficiency, sum rate, number of served users, and fairness.