Wireless channel capacity optimization method for intelligent network connection meteorological monitoring vehicle

By designing a low-complexity multi-intelligent reflector-assisted MIMO system in an intelligent connected meteorological monitoring vehicle, the channel capacity was optimized, the problems of channel time-varying and Doppler effect in dynamic environments were solved, and stable and efficient wireless communication was achieved.

CN121013102APending Publication Date: 2025-11-25NANJING UNIV OF INFORMATION SCI & TECH
0 Cites 0 Cited by

Patent Information

Application Number
CN202511234119.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-01
Publication Date
2025-11-25

AI Technical Summary

Technical Problem

Traditional weather monitoring vehicles suffer from data transmission interruptions and signal quality fluctuations due to the time-varying characteristics of wireless channels in dynamic environments. Existing optimization methods fail to effectively consider the Doppler effect in high-speed moving scenarios and have high algorithm complexity, making it difficult to meet real-time and reliability requirements.

Method used

A low-complexity channel capacity optimization method for a multi-intelligent reflector-assisted MIMO wireless communication system is designed. By considering the Doppler effect in channel modeling, the IRS reflection matrix and base station precoding are optimized using SVD decomposition and water-filling algorithm to dynamically adapt to changes in channel state.

Benefits of technology

Stable and high-quality communication was achieved in high-speed mobile scenarios, reducing algorithm complexity and improving system performance, thus meeting the real-time data transmission requirements of meteorological monitoring vehicles.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a wireless channel capacity optimization method for an intelligent network connection meteorological monitoring vehicle, and the method comprises the steps: building a communication system model suitable for the intelligent network connection meteorological monitoring vehicle in consideration of the Doppler effect; an original MIMO channel is equivalent to a plurality of parallel SISO paths through SVD decomposition, and a channel capacity optimization problem is constructed. An original optimization problem is decoupled into two sequentially processed sub-problems: IRS reflection unit phase shift optimization and base station precoding design. According to the coupling characteristic of the two sub-problems, a closed-form solution of an optimal IRS reflection matrix is obtained by indirectly optimizing path gain, and then the optimal precoding of the base station is solved by adopting a water injection algorithm. The algorithm provided by the invention has higher convergence speed and lower calculation complexity, provides an efficient scheme for IRS phase shift optimization, and can effectively adapt to the time-varying characteristic of a meteorological monitoring vehicle channel.
Need to check novelty before this filing date? Find Prior Art