Parallel Offloading of Terminal Multitasking in Edge Computing
As emerging technologies like autonomous driving continue to develop, they bring a plethora of latency-sensitive tasks to mobile terminals. Traditional single-terminal, single-task offloading models result in considerable waiting latency for subsequent offloading tasks. This paper introduces MIMO (Multiple Input Multiple Output) technology and proposes a single-terminal multi-task parallel offloading algorithm. The algorithm enables the simultaneous transmission of multiple tasks within a single timeslot, achieving rapid offloading of computational tasks. It also considers the issue of transmission power allocation for offloaded tasks, thereby reducing the latency introduced by data transfer. Simulation analysis indicates that the proposed method performs better than other algorithms in reducing average task latency.
Authors
- Weinan Zhao (ORCID: https://orcid.org/0000-0003-2859-1562)
- Lincong Zhang (ORCID: https://orcid.org/0000-0002-7821-176X)
- Yongjun Li (ORCID: https://orcid.org/0000-0002-7913-8533)
Institutions
- Shenyang Ligong University (CN)
- Anyang Institute of Technology (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/spic62469.2024.10691445
- Citations
- 1
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Shenyang Ligong University