This paper investigates power allocation in cell-free massive MIMO for URLLC applications, where each access point is powered by smart grid or solar panels/wind-turbines. In particular, the closed-form achievable rate for URRLC is derived. By exploiting the derived results, a non-convex and non-smooth optimization problem is formulated for maximizing the minimum URRLC rate of all multicast group, and is NP-hard. To deal with this problem, the formulated optimization problem is transformed into a tractable version, then the classical CVX tool is adopted to solve the resultant problem. Numerical simulation verifies the practicability of the derived theoretical results and the proposed algorithm.
In order to further improve the quality and efficiency of distribution network operation and maintenance work, and support the transformation of distribution network technology to digital, lean, and intelligent, this article proposes an IoT management system for intelligent monitoring of power distribution rooms, as well as a design plan for IoT management platforms and edge IoT agents. It also conducts key research on the environmental information monitoring and perception system of the power distribution room, the power protection and security perception system, and establishes an intelligent and visualized intelligent distribution room to realize the digital transformation and intelligent improvement of the operation and maintenance of the power distribution network. The results are applied in the construction of Zhejiang intelligent distribution room, providing important guidance for the standardized construction of intelligent distribution room in China.
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