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The integration of a near-space information network (NSIN) with thereconfigurable intelligent surface (RIS) is envisioned to significantly enhancethe communication performance of future wireless communication systems byproactively altering wireless channels. This paper investigates the problem ofdeploying a RIS-integrated NSIN to provide energy-efficient, ultra-reliable andlow-latency communications (URLLC) services. We mathematically formulate thisproblem as a resource optimization problem, aiming to maximize the effectivethroughput and minimize the system power consumption, subject to URLLC andphysical resource constraints. The formulated problem is challenging in termsof accurate channel estimation, RIS phase alignment, theoretical analysis, andeffective solution. We propose a joint resource allocation algorithm to handlethese challenges. In this algorithm, we develop an accurate channel estimationapproach by exploring message passing and optimize phase shifts of RISreflecting elements to further increase the channel gain. Besides, we derive ananalysis-friend expression of decoding error probability and decompose theproblem into two-layered optimization problems by analyzing the monotonicity,which makes the formulated problem analytically tractable. Extensivesimulations have been conducted to verify the performance of the proposedalgorithm. Simulation results show that the proposed algorithm can achieveoutstanding channel estimation performance and is more energy-efficient thandiverse benchmark algorithms.

Energy-Efficient URLLC Service Provision via a Near-Space Information Network