研究目的
To propose an underwater optical wireless sensor network using MIMO technique and power allocation algorithm to support multiple users with impacts of underwater channel uncertainty interferences.
研究成果
The proposed MIMO underwater optical wireless sensor network with power allocation and OCDMA technique is robust against channel uncertainty and multiple access interferences. It supports longer transmission distances, higher data rates, and lower bit error rates compared to equal power allocation and BD precoding, with potential for further improvements in future work.
研究不足
The paper assumes flat channel gain (no intersymbol interference), perfect channel state information estimation, and constant attenuation coefficients. It does not consider dispersive channels or motions of users, which are noted for future work.
1:Experimental Design and Method Selection:
The paper designs a MIMO underwater optical wireless sensor network using CDMA and power allocation algorithms. It employs theoretical models for channel loss, signal transmission, and optimization techniques like sequential quadratic programming (SQP).
2:Sample Selection and Data Sources:
Numerical simulations are conducted based on parameters such as number of LED transmitters, users, and water types (e.g., pure sea water). No real-world data is used; it's simulation-based.
3:List of Experimental Equipment and Materials:
LEDs are used as transmitters, photodetectors (PDs) as receivers, with specifications like responsivity, area, and optical power. Specific models or brands are not mentioned.
4:Experimental Procedures and Operational Workflow:
The system involves transmitting signals using OCDMA codes, receiving with MMSE filters, and optimizing power allocation through algorithms to maximize SINR or data rate.
5:Data Analysis Methods:
Performance is evaluated using metrics like bit error rate (BER), signal-to-interference-plus-noise ratio (SINR), and data rate, analyzed through numerical results and comparisons with other methods.
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