基于相控阵的跳波束波位优化及资源分配算法

镐梦婷; 张晨; 张更新

doi:10.11959/j.issn.2096-8930.2022003

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基于相控阵的跳波束波位优化及资源分配算法

专题：卫星互联网前沿技术 | 更新时间：2024-06-03

- 基于相控阵的跳波束波位优化及资源分配算法
- Beam Hopping Beam Optimization and Resource Allocation Algorithm Based on Phased Array
- 天地一体化信息网络 2022年3卷第1期页码：18-26
- 作者机构：
- 作者简介：
  
  [ "镐梦婷（1997-），女，南京邮电大学通信与信息工程学院硕士生，主要研究方向为卫星通信、空间信息网络等" ]
  [ "张晨（1985-），男，南京邮电大学通信与信息工程学院讲师，主要研究方向卫星通信、天地一体化信息网络" ]
  [ "张更新（1967-），男，南京邮电大学通信与信息工程学院教授，主要研究方向为空间信息网络、卫星通信等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61901230);国家自然科学基金资助项目;The National Natural Science Foundation of China(U21A20450);江苏省前沿引领技术基础研究专项;Jiangsu Province Basic Research Project(BK20192002)
- DOI：10.11959/j.issn.2096-8930.2022003
  中图分类号： TP393
- 网络出版日期：2022-03，
  
  纸质出版日期：2022-03-20
- 稿件说明：
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镐梦婷, 张晨, 张更新. 基于相控阵的跳波束波位优化及资源分配算法[J]. 天地一体化信息网络, 2022,3(1):18-26.

Mengting HAO, Chen ZHANG, Gengxin ZHANG. Beam Hopping Beam Optimization and Resource Allocation Algorithm Based on Phased Array[J]. Space-integrated-ground information networks, 2022, 3(1): 18-26.
镐梦婷, 张晨, 张更新. 基于相控阵的跳波束波位优化及资源分配算法[J]. 天地一体化信息网络, 2022,3(1):18-26. DOI： 10.11959/j.issn.2096-8930.2022003.

Mengting HAO, Chen ZHANG, Gengxin ZHANG. Beam Hopping Beam Optimization and Resource Allocation Algorithm Based on Phased Array[J]. Space-integrated-ground information networks, 2022, 3(1): 18-26. DOI： 10.11959/j.issn.2096-8930.2022003.

摘要

跳波束技术能够为卫星通信系统提供足够的灵活性和较高的资源利用率，在宽带卫星通信系统中展现良好的性能，但现有的跳波束技术波位规划方案相对固定，不能随业务需求特点的变化而变化，对于用户需求分布不均且位置分散的情况，跳波束技术的优势很难发挥。针对上述问题，提出一种波位优化的方法，利用相控阵天线的捷变特性，根据业务分布特点调整波束的大小，使得各个波束内的业务需求更加均衡。在此基础上，从需求量与实际传输容量相匹配的角度，建立最小化n阶差分目标函数，利用凸优化算法求解各个波束内分配的时隙资源，并对比波位优化前后系统的整体满意度及系统时延等性能参数。仿真分析结果表明，相比传统的波位规划方案，该算法能在提高系统整体满意度的同时降低系统时延，提升用户的接入成功率。

Abstract

Beam hopping technology can provide enough fl exibility and high resource utilization for satellite communication system

and shows good performance in broadband satellite communication system.However

the existing beam planning scheme of beam hopping technology is relatively fi xed and can not change with the change of service demand characteristics.For the situation of uneven distribution of user demand and scattered location

the advantages of beam hopping technology are diffi cult to play.To solve the above problems

a beam optimization method was proposed

which used the agility characteristics of phased array antenna to adjusted the size of beam according to the characteristics of service distribution

so as to made the service demand in each beam more balanced.On this basis

from the perspective of matching the demand with the actual transmission capacity

the minimization n-order diff erence objective function was established

the time slot resources allocated in each beam were solved by convex optimization algorithm

and the overall satisfaction and system delay of the system before and after beam optimization were compared.The simulation results showed that compared with the traditional beam planning scheme

the algorithm could improved the overall satisfaction of the system

reduced the system delay and improved the access success rate of the users.

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references

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