Shuai Han;Zhiqiang Li;Qiang Xue;Weixiao Meng;Cheng Li
{"title":"Joint Broadcast and Unicast Transmission Based on RSMA and Spectrum Sharing for Integrated Satellite–Terrestrial Network","authors":"Shuai Han;Zhiqiang Li;Qiang Xue;Weixiao Meng;Cheng Li","doi":"10.1109/TCCN.2024.3350596","DOIUrl":null,"url":null,"abstract":"The integrated satellite-terrestrial network (ISTN) is gaining attention for seamless communication services, which can provide diverse services to terminals, i.e., broadcast and unicast services. However, it is challenging to address massive terminal access and meet diverse information services under limited spectrum resources and strong multiple access interference in ISTN. Dynamic spectrum sharing and rate-splitting multiple access (RSMA) have emerged as promising technologies, where RSMA offers non-orthogonal transmission and robust interference management. Motivated by this, we establish a downlink non-orthogonal broadcast and unicast (NOBU) model using the 1-layer rate-splitting strategy for ISTN, which encodes broadcast data and unicast data into common and private streams. Then, we propose four NOBU transmission schemes based on different spectrum sharing modes to maximize the max-min rate (MMR), where schemes based on hybrid spectrum sharing consider the unevenly distributed and time-varying spectrum resources and the number of terminals. Furthermore, we formulate joint MMR optimization problems while satisfying the broadcast information rate requirement in ISTN. To tackle these non-convex problems, we introduce an improved alternating optimization algorithm based on weighted minimum mean square error. Simulation results verify that the RSMA-based NOBU schemes have significant performance gains compared with various baseline schemes.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 3","pages":"1090-1103"},"PeriodicalIF":7.4000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Cognitive Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10382173/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The integrated satellite-terrestrial network (ISTN) is gaining attention for seamless communication services, which can provide diverse services to terminals, i.e., broadcast and unicast services. However, it is challenging to address massive terminal access and meet diverse information services under limited spectrum resources and strong multiple access interference in ISTN. Dynamic spectrum sharing and rate-splitting multiple access (RSMA) have emerged as promising technologies, where RSMA offers non-orthogonal transmission and robust interference management. Motivated by this, we establish a downlink non-orthogonal broadcast and unicast (NOBU) model using the 1-layer rate-splitting strategy for ISTN, which encodes broadcast data and unicast data into common and private streams. Then, we propose four NOBU transmission schemes based on different spectrum sharing modes to maximize the max-min rate (MMR), where schemes based on hybrid spectrum sharing consider the unevenly distributed and time-varying spectrum resources and the number of terminals. Furthermore, we formulate joint MMR optimization problems while satisfying the broadcast information rate requirement in ISTN. To tackle these non-convex problems, we introduce an improved alternating optimization algorithm based on weighted minimum mean square error. Simulation results verify that the RSMA-based NOBU schemes have significant performance gains compared with various baseline schemes.
期刊介绍:
The IEEE Transactions on Cognitive Communications and Networking (TCCN) aims to publish high-quality manuscripts that push the boundaries of cognitive communications and networking research. Cognitive, in this context, refers to the application of perception, learning, reasoning, memory, and adaptive approaches in communication system design. The transactions welcome submissions that explore various aspects of cognitive communications and networks, focusing on innovative and holistic approaches to complex system design. Key topics covered include architecture, protocols, cross-layer design, and cognition cycle design for cognitive networks. Additionally, research on machine learning, artificial intelligence, end-to-end and distributed intelligence, software-defined networking, cognitive radios, spectrum sharing, and security and privacy issues in cognitive networks are of interest. The publication also encourages papers addressing novel services and applications enabled by these cognitive concepts.