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.
Authors
- Lei Pang (ORCID: https://orcid.org/0000-0002-2285-2728)
- Xin Wang (ORCID: https://orcid.org/0000-0003-2292-3845)
- Xue Wang (ORCID: https://orcid.org/0000-0002-4273-4948)
- Zhihong Qian (ORCID: https://orcid.org/0000-0002-7869-5645)
- Shanshan Jiang (ORCID: https://orcid.org/0009-0004-4409-320X)
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
- Jilin Agricultural University (CN)
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