A Delay-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System

In the paper, we propose a joint optimization algorithm based on the block coordinate descent (JOABCD) algorithm for reflective intelligent surface (RIS) assisted MEC-MIMO systems. First, we define the delay minimization function for both single user with multi-antenna and multiple users with single-antenna scenarios. Since the optimization function is an NP-hard problem, we decompose it into two subproblems: computing setting and communication setting using the block coordinate descent (BCD) iterative algorithm. The subproblem of resource allocation is solved using a bisection method, while the subproblem of transmit power and phase shift matrix is solved alternately. The optimal simulation results show that the JOABCD algorithm can realize a lower time latency and a higher sum achievable rate compared with the existing methods.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2024-12-23
DOI
https://doi.org/10.1109/tmc.2024.3521012
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.42

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article

A Delay-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System

Zhihong Qian, Zhu Han, Chongwen Huang, Xue Wang et al.
2 citations
IEEE Transactions on Mobile Computing
Advanced MIMO Systems Optimization
0.42
article

A Delay-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System

Zhihong Qian, Zhu Han, Chongwen Huang, Xue Wang, Shanshan Jiang, Junhao Lin
article en
2 citations

Abstract

In the paper, we propose a joint optimization algorithm based on the block coordinate descent (JOABCD) algorithm for reflective intelligent surface (RIS) assisted MEC-MIMO systems. First, we define the delay minimization function for both single user with multi-antenna and multiple users with single-antenna scenarios. Since the optimization function is an NP-hard problem, we decompose it into two subproblems: computing setting and communication setting using the block coordinate descent (BCD) iterative algorithm. The subproblem of resource allocation is solved using a bisection method, while the subproblem of transmit power and phase shift matrix is solved alternately. The optimal simulation results show that the JOABCD algorithm can realize a lower time latency and a higher sum achievable rate compared with the existing methods.

IEEE Transactions on Mobile ComputingVol. 24(5)
Yanbian University (CN), Jilin University (CN), University of Houston (US), Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 36%
Advanced MIMO Systems Optimization
0.42
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A Delay-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System — Zhihong Qian, Zhu Han, et al. · IEEE Transactions on Mobile Computing (2024) | TGRS Research Map | TGRS