节点文献
面向6G内生智能的天地空一体化智能感知与资源优化
Intelligent Sensing and Resource Optimization for Space-Air-Ground Integrated Networks Towards 6G Native Intelligence
【摘要】 随着6G天地空一体化网络推进,卫星地球探测业务在多领域广泛深入应用,无源EESS的干扰问题日益显著。恰逢6G内生智能兴起,为解决该问题提供新思路。重点探讨基于ITU标准的无源EESS干扰及优化策略,分两部分:一是在最低仰角、6G天地空复杂环境下,分析不同环境密度基站对卫星覆盖区影响,评估是否满足ITU干扰门限;二是以6G内生智能为依托,在满足门限前提下,优化地面基站波束成形矢量,实现系统吞吐量静态聚合。结合以上内容,探讨对提升无源EESS性能的意义,为6G时代卫星通信系统干扰管理与性能优化提供理论与实践指引。
【Abstract】 As 6G space-air-ground integrated networks advance, satellite-based Earth exploration services have found extensive applications across various domains. However, the interference challenges faced by passive Earth Exploration-Satellite Services(EESS) are becoming increasingly prominent. The emergence of 6G native intelligence offers innovative solutions to address these issues. This paper focuses on interference mitigation and optimization strategies for passive EESS based on ITU standards, divided into two parts: first, the impact of ground base stations with varying environmental densities on satellite coverage areas is analyzed under minimum elevation angles and the complex 6G space-air-ground environment to assess compliance with ITU interference thresholds; second, leveraging 6G native intelligence, ground base station beamforming vectors are optimized to maximize static aggregate system throughput while ensuring adherence to the interference thresholds. The findings provide insights into improving passive EESS performance, offering theoretical and practical guidance for interference management and performance optimization in satellite communication systems in the 6G era.
- 【文献出处】 移动通信 ,Mobile Communications , 编辑部邮箱 ,2025年01期
- 【分类号】TN929.5
- 【下载频次】24