University of Science and Technology Beijing

Beijing University of Civil Engineering and Architecture

China Electronics Engineering Design Institute Co., Ltd.

Haijun Zhang

Keping Long

Dong Wang

Xiangming Wen

Haiyan Li

Ziyang Zhang

Meipeng Jian

Zhaoying Liu

Wanqing Guan

Chaohong Tan

Tongwei Lu

Yingjie Shen

Yuanping Fang

Xiangnan Liu

The present invention provides a denitrification and dephosphorization composite filler, a preparation method and application. The composite filler is prepared with a polysulfone polymer as a skeleton and a hybrid denitrification electron donor material by an immersion precipitation phase conversion method. The composite filler designed by the present invention has uniform ball formation and strong controllable performance, solves the problem of poor stability of denitrification and dephosphorization in a system due to the disadvantages of easy system blockage, high consumption speed, weak synergy, etc. in the traditional improved medium, and has broad application prospects in wastewater treatment.

Denitrification and dephosphorization composite filler, preparation method and application

An Artificial Intelligence (AI) engine-supporting downlink radio resource scheduling method and apparatus are provided. The AI engine-supporting downlink radio resource scheduling method includes: constructing an AI engine, establishing a Socket connection between an AI engine and an Open Air Interface (OAI) system, and configuring the AI engine into an OAI running environment to utilize the AI engine to replace a Round-Robin scheduling algorithm and a fair Round-Robin scheduling algorithm adopted by a Long Term Evolution (LTE) at a Media Access Control (MAC) layer in the OAI system for resource scheduling to take over a downlink radio resource scheduling process; sending scheduling information to the AI engine through Socket during the downlink radio resource scheduling process of the OAI system; and utilizing the AI engine to carry out resource allocation according to the scheduling information, and returning a resource allocation result to the OAI system.

AI engine-supporting downlink radio resource scheduling method and apparatus

A bandwidth part (BWP) and power scheduling method and apparatus for indoor terahertz are provided. The BWP and power scheduling method uses an intelligent reflecting surface (IRS) and a non-orthogonal multiple access (NOMA) to compensate for a shortcoming, wherein terahertz waves are not suitable for an indoor transmission, convert an indoor environment of an IRS-assisted terahertz propagation into a channel model, and convert an optimal wireless resource scheduling in an indoor IRS-assisted terahertz system into a functional optimization design with random constraints. Policies and corresponding actions are trained by using a proximal policy optimization (PPO) to schedule a power and a BWP. An actor part generates continuous a power scheduling, and a critic part generates a discrete BWP scheduling.

Bandwidth part (BWP) and power scheduling method and apparatus for indoor terahertz

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Beijing, China

Haijun Zhang