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

doi:10.13190/j.jbupt.2020-162

Journal of Beijing University of Posts and Telecommunications ›› 2020, Vol. 43 ›› Issue (6): 51-58.doi: 10.13190/j.jbupt.2020-162

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

TIAN Hui¹, NI Wan-li¹, WANG Wen¹, ZHENG Jing-heng¹, HE Shuo²

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Received:2020-09-02 Online:2020-12-28 Published:2020-11-30

Abstract

Abstract: 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.

Key words: intelligent reflecting surface, model aggregation, importance aware, resource allocation

CLC Number:

TN929.5

TIAN Hui, NI Wan-li, WANG Wen, ZHENG Jing-heng, HE Shuo. Data-Importance-Aware Resource Allocation in IRS-Aided Edge Intelligent System[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 51-58.

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

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