Data-Importance-Aware Resource Allocation in IRS-Aided Edge Intelligent System

被引：0
作者：
Tian H. [1 ]
Ni W.-L. [1 ]
Wang W. [1 ]
Zheng J.-H. [1 ]
He S. [2 ]
机构：
[1] State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing
[2] School of Information Engineering, Zhengzhou University, Zhengzhou
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2020年 / 43卷 / 06期
关键词：
Importance aware; Intelligent reflecting surface; Model aggregation; Resource allocation;
D O I：
10.13190/j.jbupt.2020-162
中图分类号：
学科分类号：
摘要：
In order to solve the problem of model aggregation in intelligent reflecting surface (IRS) aided edge intelligent system, a data-importance-aware resource allocation algorithm is proposed by using convex optimization and branch-and-bound methods to alternately design the user's uplink power, transmission time, and the phase shifts of IRS. Simulation results show that the proposed algorithm can effectively aggregate the model parameters of the distributed agents based on the importance difference of local data, and can maximize the uplink weighted sum rate. © 2020, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
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收藏
页码：51 / 58
页数：7
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