An Energy Consumption-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System

The paper proposes a joint optimization algorithm based on the semidefinite relaxation method and Dinkelbach (JOASDRD) algorithm for reflective intelligent surface (RIS) assisted MEC-MIMO systems. First, we define the energy consumption minimization function. 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 task offloading, transmit power, and phase shift matrix subproblems are solved iteratively using convex optimization, SDR, and Dinkelbach methods. The optimization simulation results show that the JOASDRD algorithm achieves lower energy consumption than existing methods.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174828
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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An Energy Consumption-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System

Lei Pang, Xin Wang, Xue Wang, Zhihong Qian et al.
1 citations
Advanced MIMO Systems Optimization
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article

An Energy Consumption-Oriented Joint Optimization Approach for RIS-Assisted MEC-MIMO System

Lei Pang, Xin Wang, Xue Wang, Zhihong Qian, Shanshan Jiang
article en
1 citations

Abstract

The paper proposes a joint optimization algorithm based on the semidefinite relaxation method and Dinkelbach (JOASDRD) algorithm for reflective intelligent surface (RIS) assisted MEC-MIMO systems. First, we define the energy consumption minimization function. 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 task offloading, transmit power, and phase shift matrix subproblems are solved iteratively using convex optimization, SDR, and Dinkelbach methods. The optimization simulation results show that the JOASDRD algorithm achieves lower energy consumption than existing methods.

Jilin University (CN), First Hospital of Jilin University (CN), Jilin Agricultural University (CN)
Openalex Percentile: Top 23%
Advanced MIMO Systems Optimization
0.73
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