Joint Broadcast and Unicast Transmission Based on RSMA and Spectrum Sharing for Integrated Satellite–Terrestrial Network

IF 7.4 1区 计算机科学 Q1 TELECOMMUNICATIONS IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-01-05 DOI:10.1109/TCCN.2024.3350596
Shuai Han;Zhiqiang Li;Qiang Xue;Weixiao Meng;Cheng Li
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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.
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基于 RSMA 和频谱共享的星地一体化网络联合广播和单播传输
卫星-地面综合网络(ISTN)在无缝通信服务方面越来越受到关注,它可以为终端提供多样化的服务,即广播和单播服务。然而,在 ISTN 有限的频谱资源和强烈的多址干扰条件下,如何解决大规模终端接入和满足多样化信息服务是一项挑战。动态频谱共享和速率分割多重接入(RSMA)已成为前景广阔的技术,其中 RSMA 提供非正交传输和稳健的干扰管理。受此启发,我们利用 ISTN 的单层速率分割策略建立了下行链路非正交广播和单播(NOBU)模型,将广播数据和单播数据编码为公用流和专用流。然后,我们提出了四种基于不同频谱共享模式的 NOBU 传输方案,以最大化最大最小速率(MMR),其中基于混合频谱共享的方案考虑了频谱资源的不均匀分布和时变性以及终端数量。此外,在满足 ISTN 广播信息速率要求的同时,我们还提出了联合 MMR 优化问题。为了解决这些非凸问题,我们引入了一种基于加权最小均方误差的改进交替优化算法。仿真结果证明,与各种基准方案相比,基于 RSMA 的 NOBU 方案具有显著的性能提升。
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来源期刊
IEEE Transactions on Cognitive Communications and Networking
IEEE Transactions on Cognitive Communications and Networking Computer Science-Artificial Intelligence
CiteScore
15.50
自引率
7.00%
发文量
108
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.
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