Research on optimization of power terminal interconnection communication link based on 5GMIMO technology
The power terminal carries information by means of small frequency shift, which makes the backscattered signal and the environmental signal show good orthogonality after frequency shift. However, non-ideal hardware conditions will cause problems such as spectrum sidelobe leakage, and random time-varying delay of power terminal interconnection communication will lead to link failure characteristics, resulting in low packet transmission rate. Therefore, the optimization research of power terminal interconnection communication link based on 5G-MIMO technology is designed. Considering the factors such as cable type, length, bandwidth usage and link availability, the link failure is redefined to provide an important basis for identifying the weak link in the network. Link clustering method is introduced, and links with similar failure modes or performance requirements are classified using DBSCAN algorithm. Based on link failure calculation and link clustering results, service node and terminal node configuration models of power terminal interconnection communication network are constructed, and network link resources are configured accordingly. Massive MIMO technology is applied in the optimization of power terminal interconnection communication link to monitor and analyze the communication link of power iot terminal. The experimental results show that the bandwidth loss rate of the design methods is less than 10%, the link configuration time is less than 0.5s, the throughput is 18kW at 100 nodes, and the packet sending rate is higher.
Authors
- Yunhua Liu (ORCID: https://orcid.org/0000-0003-4693-2391)
- Yuxuan Yang (ORCID: https://orcid.org/0009-0004-0906-7292)
- Jialin Luo (ORCID: https://orcid.org/0009-0003-9724-3374)
- Xianzhi Yang
- Yang Yang (ORCID: https://orcid.org/0000-0003-4215-5767)
Institutions
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/eiecc64539.2024.10929224
- Primary Topic
- Power Line Communications and Noise
- Type
- article
- Field-Weighted Citation Impact
- 0.00