面向巨型星座网络的多星多波束协作传输方法  被引量:2

Multi-Satellite Multi-Beam Cooperative Transmission Methods for Massive Constellation Networks

在线阅读下载全文

作  者:张淅 郑重 王英杰 曾鸣 费泽松[1] ZHANG Xi;ZHENG Zhong;WANG Yingjie;ZENG Ming;FEI Zesong(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China)

机构地区:[1]北京理工大学信息与电子学院,北京100081

出  处:《移动通信》2023年第7期42-48,共7页Mobile Communications

基  金:科技部重点研发计划(2020YFB1806000)。

摘  要:以低轨卫星系统为代表的巨型星座网络由于传输距离远、卫星数量大,星地链路受到较大路径损耗和同频干扰影响,通信性能受限。采用协作多点联合传输技术,首先提出一种基于瞬时信道信息的多星联合预编码设计算法,抑制通信链路间干扰并提高通信信号信噪比。以所提算法为基础,进一步利用大维信道的确定性等同原理设计渐近最优的多星联合传输预编码。该方法仅需卫星间交互统计信道信息完成预编码计算,在发掘多星协作传输性能增益的同时,极大降低了星间信令交互流量,利于在巨型星座网络中部署。仿真结果验证了所提算法的有效性。Massive constellation networks,represented by low Earth orbit satellite systems,face challenges in communication performance due to long transmission distances,a large number of satellites,significant path loss,and co-frequency interference in satelliteto-ground links.To overcome these limitations,this paper proposes a cooperative multi-point joint transmission technique.Firstly,an algorithm based on instantaneous channel information is proposed for multi-satellite joint precoding design,which suppresses inter-link interference and improves the signal-to-noise ratio of the communication signals.Building upon this algorithm,an asymptotically optimal multi-satellite joint transmission precoding design is achieved using the principle of deterministic equivalence in high-dimensional channels.The proposed approach requires only the statistical channel information exchanged between satellites for precoding calculation.It not only explores the performance gain of multi-satellite cooperative transmission but also significantly reduces inter-satellite signaling traffic,facilitating deployment in massive constellation networks.Simulation results validate the effectiveness of the proposed algorithm.

关 键 词:协作多点传输 多波束传输 统计信道信息 确定性等同 

分 类 号:TN92[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象