A jungle channel-oriented GFDM effective capacity optimization method and system
By optimizing the GFDM waveform design parameters using the particle swarm optimization algorithm, the problems of communication reliability and effective capacity in jungle environments were solved, and the data transmission and sensing performance of jungle communication was improved.
CN121442384BActive Publication Date: 2026-04-10JILIN UNIVERSITY
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Patent Information
- Application Number
- CN202512020360.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-30
- Publication Date
- 2026-04-10
- Estimated Expiration
- 2045-12-30
AI Technical Summary
Technical Problem
In jungle environments, reliable and timely communication is difficult to guarantee, and existing technologies have failed to effectively optimize GFDM parameters to reduce bit error rate and increase effective capacity.
Method used
The particle swarm optimization algorithm is used to optimize the GFDM waveform design parameters step by step, including the roll-off factor and the number of subcarriers. The effective capacity is optimized by constructing a jungle channel model and calculating the bit error rate.
Benefits of technology
It improves the communication quality of radio waves in jungle scenarios, enables efficient data transmission and stable environmental perception, provides accurate location information, and optimizes the overall performance of the GFDM system.
✦ Generated by Eureka AI based on patent content.
Abstract
The application relates to the technical field of wireless communication, and particularly discloses a GFDM effective capacity optimization method and system for a jungle channel, the method comprising the following steps: obtaining a raw binary data stream at a transmitting end, pre-processing and demodulating a signal received at a receiving end to obtain a demodulated binary data stream, and calculating a bit error rate based on the raw binary data stream and the demodulated binary data stream; calculating effective capacity based on the bit error rate, taking the effective capacity as a utility function, and step-by-step optimizing GFDM waveform design parameters by applying a particle swarm algorithm, wherein the GFDM waveform design parameters comprise a roll-off coefficient and a subcarrier number; and the method can optimize the GFDM effective capacity under the jungle channel, and obtain the best effective capacity and corresponding subcarrier number and pulse shaping filter coefficient.
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