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.
Authors
- Zhihong Qian (ORCID: https://orcid.org/0000-0002-9161-6366)
- Zhu Han
- Chongwen Huang (ORCID: https://orcid.org/0000-0001-8398-8437)
- Xue Wang (ORCID: https://orcid.org/0000-0002-4273-4948)
- Shanshan Jiang (ORCID: https://orcid.org/0009-0004-4409-320X)
- Junhao Lin (ORCID: https://orcid.org/0009-0001-7871-3946)
Institutions
- Yanbian University (CN)
- Jilin University (CN)
- University of Houston (US)
- Zhejiang University (CN)
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
Funders
- National Natural Science Foundation of China