Advanced Receiver Strategy for Co-Channel Interference in Multibeam Satellite Systems

B. F. Beidas, R. I. Seshadri
{"title":"Advanced Receiver Strategy for Co-Channel Interference in Multibeam Satellite Systems","authors":"B. F. Beidas, R. I. Seshadri","doi":"10.1109/ASMS/SPSC48805.2020.9268879","DOIUrl":null,"url":null,"abstract":"Breaking the barrier of Terabit-per-second connectivity in multibeam satellite systems is impeded by the scarcity of frequency spectrum. Aggressive frequency reuse can overcome spectrum limitations but at the expense of inducing harsh cochannel interference (CCI). This problem is further compounded by memory effects of CCI, arising when co-channel signals combine asynchronously. To avoid exponential increase in complexity, state-of-the-art user-terminal receivers assume memoryless CCI, thus harming their performance. First, we provide analytical characterization of CCI accounting for memory, a formulation that captures synchronization impairments. Then, low-complexity receivers are developed to compensate for spatial and temporal CCI profiles, with computational complexity increasing only linearly in the memory span. This is achieved by our novel soft-in soft-out, iterative divide-and-conquer (IDAC) strategy, decomposing interference into smaller sets depending on intensity. A set is created from weak interferers which are not decoded but considered as thermal noise. The interferers which are decoded are further split into a set that subtracts strong ones and another set addressing intense interferers in an optimal-Bayesian fashion. Extensive numerical studies reveal that the IDAC architecture offers lossless compensation of dominant CCI with memory, when rate coordination is guided by network information theory, offering beam-edge user terminals an edgeless quality-of-service.","PeriodicalId":218343,"journal":{"name":"2020 10th Advanced Satellite Multimedia Systems Conference and the 16th Signal Processing for Space Communications Workshop (ASMS/SPSC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th Advanced Satellite Multimedia Systems Conference and the 16th Signal Processing for Space Communications Workshop (ASMS/SPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASMS/SPSC48805.2020.9268879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Breaking the barrier of Terabit-per-second connectivity in multibeam satellite systems is impeded by the scarcity of frequency spectrum. Aggressive frequency reuse can overcome spectrum limitations but at the expense of inducing harsh cochannel interference (CCI). This problem is further compounded by memory effects of CCI, arising when co-channel signals combine asynchronously. To avoid exponential increase in complexity, state-of-the-art user-terminal receivers assume memoryless CCI, thus harming their performance. First, we provide analytical characterization of CCI accounting for memory, a formulation that captures synchronization impairments. Then, low-complexity receivers are developed to compensate for spatial and temporal CCI profiles, with computational complexity increasing only linearly in the memory span. This is achieved by our novel soft-in soft-out, iterative divide-and-conquer (IDAC) strategy, decomposing interference into smaller sets depending on intensity. A set is created from weak interferers which are not decoded but considered as thermal noise. The interferers which are decoded are further split into a set that subtracts strong ones and another set addressing intense interferers in an optimal-Bayesian fashion. Extensive numerical studies reveal that the IDAC architecture offers lossless compensation of dominant CCI with memory, when rate coordination is guided by network information theory, offering beam-edge user terminals an edgeless quality-of-service.
多波束卫星系统中同信道干扰的先进接收机策略
频谱的稀缺性阻碍了多波束卫星系统突破每秒太比特连接的障碍。积极的频率复用可以克服频谱限制,但代价是产生严重的共信道干扰(CCI)。当同信道信号异步合并时,CCI的内存效应进一步加剧了这个问题。为了避免复杂性呈指数级增长,最先进的用户终端接收机采用无记忆CCI,从而损害其性能。首先,我们提供了计算内存的CCI的分析特性,这是一个捕获同步损伤的公式。然后,开发低复杂度接收器来补偿空间和时间CCI分布,其计算复杂度仅在记忆跨度内线性增加。这是通过我们新颖的软入软出,迭代分治(IDAC)策略实现的,该策略根据强度将干扰分解为更小的集。一个集合是由不解码的弱干扰产生的,但被认为是热噪声。被解码的干扰被进一步分成一组减去强干扰和另一组以最优贝叶斯方式寻址强干扰。大量的数值研究表明,当速率协调以网络信息理论为指导时,IDAC架构提供了对主导CCI的内存无损补偿,为波束边缘用户终端提供了无边缘的服务质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书